L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Mechanical Engineering (Segment Strategy Lead) Job Code: 40337 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Mechanical Engineering Director to lead cross-sector mechanical engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering Technology & AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's mechanical engineering discipline today. The ideal candidate is a strategic thinker with deep mechanical engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the mechanical engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector mechanical engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for mechanical engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of mechanical engineering tools, infrastructure, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for mechanical engineering Partner with AI Workforce Readiness to ensure AI training programs are tailored to mechanical engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of mechanical engineering strategy, standards, and capability. Occasional travel to various L3Harris locations will be required - Roughly 10-20% Qualifications: Bachelor's degree in Mechanical Engineering or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Active Secret Clearance is required Professional experience leading and developing large mechanical engineering teams across multiple programs or sectors. Professional experience developing engineering team strategies, workforce development plans, and performance management frameworks. Experience leading large DoD proposals with significant mechanical engineering content. Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Experience managing and growing engineering communities of practice across large, distributed organizations. Extensive knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $175,000.00 - $325,000.00. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $152,500.00 - $283,000.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
07/27/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Mechanical Engineering (Segment Strategy Lead) Job Code: 40337 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Mechanical Engineering Director to lead cross-sector mechanical engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering Technology & AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's mechanical engineering discipline today. The ideal candidate is a strategic thinker with deep mechanical engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the mechanical engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector mechanical engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for mechanical engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of mechanical engineering tools, infrastructure, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for mechanical engineering Partner with AI Workforce Readiness to ensure AI training programs are tailored to mechanical engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of mechanical engineering strategy, standards, and capability. Occasional travel to various L3Harris locations will be required - Roughly 10-20% Qualifications: Bachelor's degree in Mechanical Engineering or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Active Secret Clearance is required Professional experience leading and developing large mechanical engineering teams across multiple programs or sectors. Professional experience developing engineering team strategies, workforce development plans, and performance management frameworks. Experience leading large DoD proposals with significant mechanical engineering content. Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Experience managing and growing engineering communities of practice across large, distributed organizations. Extensive knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $175,000.00 - $325,000.00. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $152,500.00 - $283,000.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Mechanical Engineering (Segment Strategy Lead) Job Code: 40337 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Mechanical Engineering Director to lead cross-sector mechanical engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering Technology & AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's mechanical engineering discipline today. The ideal candidate is a strategic thinker with deep mechanical engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the mechanical engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector mechanical engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for mechanical engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of mechanical engineering tools, infrastructure, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for mechanical engineering Partner with AI Workforce Readiness to ensure AI training programs are tailored to mechanical engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of mechanical engineering strategy, standards, and capability. Occasional travel to various L3Harris locations will be required - Roughly 10-20% Qualifications: Bachelor's degree in Mechanical Engineering or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Active Secret Clearance is required Professional experience leading and developing large mechanical engineering teams across multiple programs or sectors. Professional experience developing engineering team strategies, workforce development plans, and performance management frameworks. Experience leading large DoD proposals with significant mechanical engineering content. Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Experience managing and growing engineering communities of practice across large, distributed organizations. Extensive knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $175,000.00 - $325,000.00. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $152,500.00 - $283,000.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
07/27/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Director, Mechanical Engineering (Segment Strategy Lead) Job Code: 40337 Job Location: Fort Wayne, IN; Palm Bay, FL; Rochester, NY; Chantilly, VA; Waco, TX; Camden, NJ; Colorado Springs, CO; Greenville, TX; Herndon, VA Work Schedule: 9/80 (Every other Friday off) Relocation: Relocation assistance is available to qualified applicants Job Description: L3Harris is seeking a Mechanical Engineering Director to lead cross-sector mechanical engineering strategy and discipline excellence across the Space & Mission Systems (SMS) segment. Reporting to the Vice President of SMS Engineering Technology & AI, this leader will partner with the sectors to deliver on today's commitments while building tomorrow's mechanical engineering discipline today. The ideal candidate is a strategic thinker with deep mechanical engineering expertise who can scale vertically as a leader: operating hands-on at the technical level when programs need it, stepping back to drive enterprise strategy when the mission requires it, and coaching and developing the team at every level. This individual will own and drive the AI strategy and roadmap for the mechanical engineering discipline and will partner closely with the AI Transformation team to ensure AI-native engineering practices take root across the SMS workforce. Essential Functions: Lead segment-wide discipline initiatives while being available to roll up your sleeves and support sectors with urgent technical fires and critical program needs. Coordinate cross-sector mechanical engineering resource sharing, best practices, and discipline standards to reduce duplication and increase segment-wide capability and efficiency. Establish and lead Cross-Sector Communities of Practice (CoPs) for mechanical engineering disciplines to accelerate talent development and knowledge transfer across sectors. Identify, evaluate, prioritize, and drive adoption of mechanical engineering tools, infrastructure, development environments, and processes to optimize engineering productivity. Own the AI strategy and discipline roadmap for mechanical engineering Partner with AI Workforce Readiness to ensure AI training programs are tailored to mechanical engineers and aligned with discipline-specific roadmaps and program needs. Lead, mentor, and develop discipline talent fostering a culture of technical excellence, continuous learning, and innovation. Serve as a trusted technical advisor to sector Chief Engineers, program managers, and business development teams on matters of mechanical engineering strategy, standards, and capability. Occasional travel to various L3Harris locations will be required - Roughly 10-20% Qualifications: Bachelor's degree in Mechanical Engineering or related field with a minimum of 15 years of experience; or Graduate Degree with a minimum of 13 years of experience. Active Secret Clearance is required Professional experience leading and developing large mechanical engineering teams across multiple programs or sectors. Professional experience developing engineering team strategies, workforce development plans, and performance management frameworks. Experience leading large DoD proposals with significant mechanical engineering content. Preferred Additional Skills: Excellent leadership, communication, and stakeholder management skills with a track record of influencing across organizations. Experience managing and growing engineering communities of practice across large, distributed organizations. Extensive knowledge of Agile, SAFe, and DevSecOps frameworks in a defense program context. In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $175,000.00 - $325,000.00. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $152,500.00 - $283,000.00. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Lead Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you'll do in the role: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. Retrain, maintain, and monitor models in production. Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models. Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. Use programming languages like Python, Scala, or Java. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 2+ years of experience developing performant, resilient, and maintainable code 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer New York, NY: $215,200 - $245,600 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Electrical Engineering / Design and Development Job Code: 39833 Job Location: Camden, NJ (On-Site) Schedule: 9/80 Regular (Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) L3Harris Technologies Power Systems is an agile defense technology innovator, delivering end-to-end solutions for the US Navy Shipbuilding programs. With capabilities in ship control systems, manufacturing and turn-key ship overhauls that meet customers' mission-critical needs. About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. Job Description: This role presents an excellent opportunity for an experienced electrical engineer seeking to deepen technical expertise, assume greater leadership responsibility, and broaden overall impact. It offers exposure to complex engineering challenges, cross-functional collaboration, and the ability to influence design, execution, and innovation. For individuals aspiring to greater technical ownership and strategic contribution, this position provides a strong pathway for professional growth and advancement. Essential Functions: Support the design of electrical and electronic sub-system circuits for next-generation military circuit breaker and power conversion equipment, including design evaluations and qualification testing of end products for a premier defense supplier. Assist with, and in some cases leading, the integration, testing, packaging, and configuration of newly developed sub-system circuits into final products. Troubleshoot existing designs and driving innovative improvements in reliability and performance, including analyzing test data and recommending appropriate corrective actions. Perform hardware design and development activities throughout the full product lifecycle, from initial concept through production, including architecture, schematic design, supporting PCB development, prototyping, integration and testing, and manufacturing support. Design analog, digital, and power electronics circuitry in accordance with system and product requirements. Contribute to the electrical engineering team's hardware development efforts, including circuit designs involving drivers, sensors, power supplies, controllers, signal processing, and monitoring and control functions. Develop clear and comprehensive technical documentation, and present design approaches, test plans, results, and analyses to reviewers, customers, and other stakeholders. Collaborate closely with PCB designers to support circuit board layout activities for both prototype and production hardware. Participate in test-to-specification activities, design verification, and reliability qualification testing. Interface with internal and external customers to support circuit operation, troubleshooting, and test-related activities. Support manufacturing and production efforts by providing technical guidance and resolving hardware-related issues as needed. Must be eligible to obtain a U.S. security clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. 4+ years of experience in electrical hardware design and development. Demonstrated experience in the following areas: Electronics analysis Analog and digital circuit design and simulation Parts selection and Bill of Material (BOM) development Schematic capture Support of PCB design and layout activities Circuit Card Assembly (CCA) bring-up and test Hardware and system integration and testing Working knowledge of power electronics, power switching devices, and control systems. Hands-on experience assembling and testing engineering designs and prototypes using modern lab tools and test instrumentation, including power supplies, oscilloscopes, and multimeters. Preferred Additional Skills: Demonstrated experience supporting full life-cycle engineering design and development activities, from concept through production. Strong interpersonal, written, and verbal communication skills. Experience working in a manufacturing environment, with an understanding of production support and design-for-manufacturability considerations. Proficiency with MATLAB/Simulink for modeling, analysis, and development activities. Experience using PSpice or equivalent circuit simulation tools. Circuit design and schematic capture experience using tools such as Mentor Graphics PADS, Siemens Xpedition, or similar platforms. Familiarity with applicable military specifications and standards. In compliance with pay transparency requirements, the salary range for this role is $92,500 - $171,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
07/27/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Specialist, Electrical Engineering / Design and Development Job Code: 39833 Job Location: Camden, NJ (On-Site) Schedule: 9/80 Regular (Employees work 9 out of every 14 days - totaling 80 hours worked - and have every other Friday off) L3Harris Technologies Power Systems is an agile defense technology innovator, delivering end-to-end solutions for the US Navy Shipbuilding programs. With capabilities in ship control systems, manufacturing and turn-key ship overhauls that meet customers' mission-critical needs. About L3Harris Technologies: L3Harris Technologies is an agile global aerospace and defense technology innovator, delivering end-to-end solutions that meet customers' mission-critical needs. The company provides advanced defense and commercial technologies across space, air, land, sea and cyber domains. L3Harris has approximately $18 billion in annual revenue and 47,000 employees, with customers in more than 100 countries. L3Harris is dedicated to recruiting and developing diverse, high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. Job Description: This role presents an excellent opportunity for an experienced electrical engineer seeking to deepen technical expertise, assume greater leadership responsibility, and broaden overall impact. It offers exposure to complex engineering challenges, cross-functional collaboration, and the ability to influence design, execution, and innovation. For individuals aspiring to greater technical ownership and strategic contribution, this position provides a strong pathway for professional growth and advancement. Essential Functions: Support the design of electrical and electronic sub-system circuits for next-generation military circuit breaker and power conversion equipment, including design evaluations and qualification testing of end products for a premier defense supplier. Assist with, and in some cases leading, the integration, testing, packaging, and configuration of newly developed sub-system circuits into final products. Troubleshoot existing designs and driving innovative improvements in reliability and performance, including analyzing test data and recommending appropriate corrective actions. Perform hardware design and development activities throughout the full product lifecycle, from initial concept through production, including architecture, schematic design, supporting PCB development, prototyping, integration and testing, and manufacturing support. Design analog, digital, and power electronics circuitry in accordance with system and product requirements. Contribute to the electrical engineering team's hardware development efforts, including circuit designs involving drivers, sensors, power supplies, controllers, signal processing, and monitoring and control functions. Develop clear and comprehensive technical documentation, and present design approaches, test plans, results, and analyses to reviewers, customers, and other stakeholders. Collaborate closely with PCB designers to support circuit board layout activities for both prototype and production hardware. Participate in test-to-specification activities, design verification, and reliability qualification testing. Interface with internal and external customers to support circuit operation, troubleshooting, and test-related activities. Support manufacturing and production efforts by providing technical guidance and resolving hardware-related issues as needed. Must be eligible to obtain a U.S. security clearance. Qualifications: Bachelor's Degree and minimum 4 years of prior relevant experience. Graduate Degree and a minimum of 2 years of prior related experience. In lieu of a degree, minimum of 8 years of prior related experience. 4+ years of experience in electrical hardware design and development. Demonstrated experience in the following areas: Electronics analysis Analog and digital circuit design and simulation Parts selection and Bill of Material (BOM) development Schematic capture Support of PCB design and layout activities Circuit Card Assembly (CCA) bring-up and test Hardware and system integration and testing Working knowledge of power electronics, power switching devices, and control systems. Hands-on experience assembling and testing engineering designs and prototypes using modern lab tools and test instrumentation, including power supplies, oscilloscopes, and multimeters. Preferred Additional Skills: Demonstrated experience supporting full life-cycle engineering design and development activities, from concept through production. Strong interpersonal, written, and verbal communication skills. Experience working in a manufacturing environment, with an understanding of production support and design-for-manufacturability considerations. Proficiency with MATLAB/Simulink for modeling, analysis, and development activities. Experience using PSpice or equivalent circuit simulation tools. Circuit design and schematic capture experience using tools such as Mentor Graphics PADS, Siemens Xpedition, or similar platforms. Familiarity with applicable military specifications and standards. In compliance with pay transparency requirements, the salary range for this role is $92,500 - $171,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Applied Researcher I (AI Foundations, LLM Customization, Finetuning, Reinforcement Learning) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Data Preparation Publications studying tokenization, data quality, dataset curation, or labeling Contribution to a major open source corpus Contribution to open source libraries for data quality, dataset curation, or labeling Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Job Description Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Want to learn more? Visit our YouTube Channel or the link below. Life at Intel Shape the Future of Technology at Intel and Transform Tomorrow's Technology Today Join Intel as a Yield Development Engineer and play a pivotal role in advancing semiconductor process technology. In this position, you'll drive yield improvements across next-generation technology nodes, directly contributing to Intel's market leadership in high-performance, reliable semiconductor products. Working with cross-functional teams, you'll tackle complex engineering challenges and develop breakthrough methodologies that define the future of semiconductor manufacturing. Core Responsibilities Process Optimization & Problem Solving Identify and resolve yield-limiting factors throughout technology node lifecycles Develop innovative solutions for complex yield challenges Design measurement protocols for rapid, accurate product integrity assessment Data Analysis & Strategic Planning Conduct advanced statistical analysis and create data visualizations Build comprehensive process development roadmaps aligned with yield milestones Transform manufacturing and experimental data into actionable yield improvement strategies Cross-Functional Collaboration Partner with design, test, and process development teams to debug yield issues Lead new product introductions and design-technology co-optimization initiatives Participate in factory task forces and design of experiments programs Technology Development Develop and optimize equipment and methodologies for advanced logic nodes Ensure manufacturability through comprehensive process analysis Support manufacturing ramp readiness through proactive yield issue resolution Core Competencies Collaborative Leadership: Proven success working across diverse, interdisciplinary teams Technical Communication: Ability to translate complex concepts for varied technical and business audiences Project Management: Experience managing multiple concurrent projects while meeting critical deadlines Innovation Focus: Passion for creative problem-solving in dynamic, fast-paced environments Adaptability: Thrives in ambiguous situations and evolving technical landscapes What We're Looking For: We welcome candidates who bring: • Collaborative Excellence: Demonstrated success working with diverse teams and stakeholders • Communication Impact: Strong ability to translate complex technical concepts for varied audiences and backgrounds • Cross-Functional Partnership: Proven experience building relationships and driving results across different disciplines and organizational levels • Project Leadership: Ability to manage multiple concurrent projects while maintaining high standards and meeting critical deadlines. • Innovation Mindset: Passion for creative problem-solving and driving meaningful results in dynamic environments • Adaptability: Comfort with ambiguity and ability to thrive in fast-paced, evolving technical landscapes Qualifications You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences. Minimum Qualifications Master's degree in Electrical Engineering, Materials Science, Mechanical Engineering, Semiconductor Technology, or in a STEM related field 3+ years of experience in yield development or process technology Experience with yield projection using EOL signals and in-line parameters Experience with advanced semiconductor devices and process flows Preferred Qualifications 2+ years of external customer advanced node semiconductor devices and process flow concepts Ph.D. degree in Electrical Engineering, Materials Science, Mechanical Engineering, Semiconductor Technology, or in a STEM related field Experience with data analysis systems and advanced semiconductor equipment Experience with semiconductor process development and defect density analysis Experience with data analytics methodologies and process innovation Project/program management background with self-direction capabilities Experience driving strategic objectives across matrix organizations Experience managing competing priorities and continuous improvement initiatives Benefits at Intel Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. Go to Intel Benefits Intel Careers for details of benefits available to you. Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $148,100.00-$209,100.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.
07/27/2026
Full time
Job Description Intel is shaping the future of technology to help create a better future for the entire world. Our work in pushing forward fields like AI, analytics, and cloud-to-edge technology is at the heart of countless innovations. With a career at Intel, you'll have the opportunity to use technology to power major breakthroughs and create enhancements that improve our everyday quality of life. Join us and help make the future more wonderful for everyone. Want to learn more? Visit our YouTube Channel or the link below. Life at Intel Shape the Future of Technology at Intel and Transform Tomorrow's Technology Today Join Intel as a Yield Development Engineer and play a pivotal role in advancing semiconductor process technology. In this position, you'll drive yield improvements across next-generation technology nodes, directly contributing to Intel's market leadership in high-performance, reliable semiconductor products. Working with cross-functional teams, you'll tackle complex engineering challenges and develop breakthrough methodologies that define the future of semiconductor manufacturing. Core Responsibilities Process Optimization & Problem Solving Identify and resolve yield-limiting factors throughout technology node lifecycles Develop innovative solutions for complex yield challenges Design measurement protocols for rapid, accurate product integrity assessment Data Analysis & Strategic Planning Conduct advanced statistical analysis and create data visualizations Build comprehensive process development roadmaps aligned with yield milestones Transform manufacturing and experimental data into actionable yield improvement strategies Cross-Functional Collaboration Partner with design, test, and process development teams to debug yield issues Lead new product introductions and design-technology co-optimization initiatives Participate in factory task forces and design of experiments programs Technology Development Develop and optimize equipment and methodologies for advanced logic nodes Ensure manufacturability through comprehensive process analysis Support manufacturing ramp readiness through proactive yield issue resolution Core Competencies Collaborative Leadership: Proven success working across diverse, interdisciplinary teams Technical Communication: Ability to translate complex concepts for varied technical and business audiences Project Management: Experience managing multiple concurrent projects while meeting critical deadlines Innovation Focus: Passion for creative problem-solving in dynamic, fast-paced environments Adaptability: Thrives in ambiguous situations and evolving technical landscapes What We're Looking For: We welcome candidates who bring: • Collaborative Excellence: Demonstrated success working with diverse teams and stakeholders • Communication Impact: Strong ability to translate complex technical concepts for varied audiences and backgrounds • Cross-Functional Partnership: Proven experience building relationships and driving results across different disciplines and organizational levels • Project Leadership: Ability to manage multiple concurrent projects while maintaining high standards and meeting critical deadlines. • Innovation Mindset: Passion for creative problem-solving and driving meaningful results in dynamic environments • Adaptability: Comfort with ambiguity and ability to thrive in fast-paced, evolving technical landscapes Qualifications You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates. Experience listed below would be obtained through a combination of your school work/classes/research and/or relevant previous job and/or internship experiences. Minimum Qualifications Master's degree in Electrical Engineering, Materials Science, Mechanical Engineering, Semiconductor Technology, or in a STEM related field 3+ years of experience in yield development or process technology Experience with yield projection using EOL signals and in-line parameters Experience with advanced semiconductor devices and process flows Preferred Qualifications 2+ years of external customer advanced node semiconductor devices and process flow concepts Ph.D. degree in Electrical Engineering, Materials Science, Mechanical Engineering, Semiconductor Technology, or in a STEM related field Experience with data analysis systems and advanced semiconductor equipment Experience with semiconductor process development and defect density analysis Experience with data analytics methodologies and process innovation Project/program management background with self-direction capabilities Experience driving strategic objectives across matrix organizations Experience managing competing priorities and continuous improvement initiatives Benefits at Intel Our total rewards package goes above and beyond just a paycheck. Whether you're looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals. Go to Intel Benefits Intel Careers for details of benefits available to you. Intel reserves the right to modify, change or discontinue benefit plans at any time in its sole discretion. Other Locations US, Phoenix Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance. Benefits We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here. Annual Salary Range for jobs which could be performed in the US $148,100.00-$209,100.00 Salary range dependent on a number of factors including location and experience Working Model This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. Job posting details (such as work model, location or time type) are subject to change.
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Program Scheduler Job Code: 40492 Job Location: Rochester, NY or Wilmington, MA Job Schedule: 9/80 Job Description: This position serves as a senior program scheduling professional responsible for supporting Tier One Programs through planning, scheduling, analysis, and reporting activities. The role provides direct program support for schedule development and maintenance, change control activities, customer deliverables, baseline review support, and cost and schedule integration within an Earned Value Management environment, as well as support for replanning and schedule recovery efforts. The individual in this role develops, maintains, and analyzes integrated program schedules, including resource-loaded schedules and Earned Value-related schedule analysis. This position supports programs in building executable plans, integrating inputs across functional and program teams, and improving schedule quality, transparency, and performance. This role also contributes to the refinement of program planning and scheduling processes, tools, and reporting methods to improve planning consistency and resource visibility across programs. The individual will work closely with program leadership and cross-functional stakeholders to provide planning and scheduling support for high-priority program needs. Essential Functions: Develop, maintain, and analyze Integrated Master Schedules and related planning artifacts for assigned programs or projects using program requirements and planning inputs. Perform schedule analysis, including critical path, schedule risk, logic, baseline, and schedule health assessments. Experience developing and maintaining resource-loaded Integrated Master Schedules (IMS) in support of program planning, execution, and Earned Value Management requirements. Track schedule performance, identify logic conflicts and performance variances, and support resolution of schedule issues. Integrate schedule inputs across functional organizations including engineering, finance, material, manufacturing, and quality. Support EVMS activities through schedule statusing, variance analysis, and maintenance of compliant scheduling practices. Prepare schedule status, milestone, and risk information for program and functional stakeholders. Support subcontractor and supplier schedule coordination, as needed. Apply standard project management and scheduling techniques to assess progress and highlight areas requiring attention. Ensure schedule compliance with internal procedures and project control requirements. Contribute to process and tool improvements that improve schedule quality and visibility. Participate in schedule reviews and communicate schedule risks, issues, and impacts to stakeholders. Qualifications: Bachelor's Degree in Business, STEM, or other related field and a minimum of 6 years of prior relevant experience; or Graduate Degree and a minimum of 4 years of prior related experience; or in lieu of a degree, a minimum of 10 years of prior related experience. Preferred Additional Skills: Ability to obtain a security clearance. Strong knowledge of supporting DoD programs in a Federal Acquisition Regulations (FAR) and Defense Federal Acquisition Regulations Supplement (DFARS) environment. Demonstrated ability to lead planning and scheduling efforts for large, high-visibility government programs. Proven ability to create and maintain an Integrated Master Schedule (IMS) and supporting schedules for assigned projects or programs. Demonstrated ability to develop and present project-level reports, presentations, and deliverables that communicate schedule status and risk to program management and senior leadership. Strong working knowledge of Monte Carlo schedule risk analysis. Working knowledge of Space Systems programs. Proficiency with Microsoft Project. Experience with Structured Solutions Incorporated (SSI) tools. Program management and coordination capability, including knowledge of Systems Development Life Cycle (SDLC) processes. Strong critical thinking and problem-solving skills, with attention to detail and quality of deliverables. Working knowledge of Earned Value Management Systems (EVMS). In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $84,000 - $156,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $73,000 - $135,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
07/27/2026
Full time
L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Program Scheduler Job Code: 40492 Job Location: Rochester, NY or Wilmington, MA Job Schedule: 9/80 Job Description: This position serves as a senior program scheduling professional responsible for supporting Tier One Programs through planning, scheduling, analysis, and reporting activities. The role provides direct program support for schedule development and maintenance, change control activities, customer deliverables, baseline review support, and cost and schedule integration within an Earned Value Management environment, as well as support for replanning and schedule recovery efforts. The individual in this role develops, maintains, and analyzes integrated program schedules, including resource-loaded schedules and Earned Value-related schedule analysis. This position supports programs in building executable plans, integrating inputs across functional and program teams, and improving schedule quality, transparency, and performance. This role also contributes to the refinement of program planning and scheduling processes, tools, and reporting methods to improve planning consistency and resource visibility across programs. The individual will work closely with program leadership and cross-functional stakeholders to provide planning and scheduling support for high-priority program needs. Essential Functions: Develop, maintain, and analyze Integrated Master Schedules and related planning artifacts for assigned programs or projects using program requirements and planning inputs. Perform schedule analysis, including critical path, schedule risk, logic, baseline, and schedule health assessments. Experience developing and maintaining resource-loaded Integrated Master Schedules (IMS) in support of program planning, execution, and Earned Value Management requirements. Track schedule performance, identify logic conflicts and performance variances, and support resolution of schedule issues. Integrate schedule inputs across functional organizations including engineering, finance, material, manufacturing, and quality. Support EVMS activities through schedule statusing, variance analysis, and maintenance of compliant scheduling practices. Prepare schedule status, milestone, and risk information for program and functional stakeholders. Support subcontractor and supplier schedule coordination, as needed. Apply standard project management and scheduling techniques to assess progress and highlight areas requiring attention. Ensure schedule compliance with internal procedures and project control requirements. Contribute to process and tool improvements that improve schedule quality and visibility. Participate in schedule reviews and communicate schedule risks, issues, and impacts to stakeholders. Qualifications: Bachelor's Degree in Business, STEM, or other related field and a minimum of 6 years of prior relevant experience; or Graduate Degree and a minimum of 4 years of prior related experience; or in lieu of a degree, a minimum of 10 years of prior related experience. Preferred Additional Skills: Ability to obtain a security clearance. Strong knowledge of supporting DoD programs in a Federal Acquisition Regulations (FAR) and Defense Federal Acquisition Regulations Supplement (DFARS) environment. Demonstrated ability to lead planning and scheduling efforts for large, high-visibility government programs. Proven ability to create and maintain an Integrated Master Schedule (IMS) and supporting schedules for assigned projects or programs. Demonstrated ability to develop and present project-level reports, presentations, and deliverables that communicate schedule status and risk to program management and senior leadership. Strong working knowledge of Monte Carlo schedule risk analysis. Working knowledge of Space Systems programs. Proficiency with Microsoft Project. Experience with Structured Solutions Incorporated (SSI) tools. Program management and coordination capability, including knowledge of Systems Development Life Cycle (SDLC) processes. Strong critical thinking and problem-solving skills, with attention to detail and quality of deliverables. Working knowledge of Earned Value Management Systems (EVMS). In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C, Denver, or NYC areas is $84,000 - $156,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, and Vermont is $73,000 - $135,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.
Sr. Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate : You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens Experience with common training optimization frameworks (deep speed, nemo) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
07/27/2026
Full time
Sr. Distinguished Applied Researcher Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. This is an individual contributor (IC) role driving strategic direction through collaboration with Applied Science, Engineering and Product leaders across Capital One. As a well-respected IC leader, you will guide and mentor a team of applied scientists and their managers without being a direct people leader. You will be expected to be an external leader representing Capital One in the research community, collaborating with prominent faculty members in the relevant AI research community. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate : You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Key Responsibilities: Partner with a cross-functional team of scientists, machine learning engineers, software engineers, and product managers to deliver AI-powered platforms and solutions that change how customers interact with their money. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. Basic Qualifications: PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 8 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 10 years of industrial NLP research experience Core contributor to team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Numerous publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Has worked on an LLM (open source or commercial) that is currently available for use Demonstrated ability to guide the technical direction of a large-scale model training team Experience working with 500+ node clusters of GPUs Has worked on LLM scaled to 70B parameters and 1T+ tokens Experience with common training optimization frameworks (deep speed, nemo) Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $311,900 - $356,000 for Sr. Distinguished Applied Researcher Cambridge, MA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher McLean, VA: $343,100 - $391,600 for Sr. Distinguished Applied Researcher New York, NY: $374,300 - $427,200 for Sr. Distinguished Applied Researcher San Francisco, CA: $374,300 - $427,200 for Sr. Distinguished Applied Researcher Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . click apply for full job details
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Applied Researcher II (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $262,500 - $299,600 for Applied Researcher II McLean, VA: $262,500 - $299,600 for Applied Researcher II New York, NY: $286,400 - $326,800 for Applied Researcher II San Francisco, CA: $286,400 - $326,800 for Applied Researcher II San Jose, CA: $286,400 - $326,800 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Sr. Distinguished Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you'll do in the role: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, C/C++ Leverage compute technologies such as Dask and RAPIDS Evangelize best practices in all aspects of the engineering and modeling lifecycles Help recruit, nurture, and retain top engineering talent Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: Master's Degree 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 3+ years of experience using Dask, RAPIDS, or in High Performance Computing 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts, or open source contributions Ability to attract and develop high-performing software engineers with an inspiring leadership style Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Plano, TX: $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Sr. Distinguished Machine Learning Engineer Overview: As a Capital One Machine Learning Engineer, you'll be providing technical leadership to engineering teams dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll serve as a technical domain expert in machine learning, guiding machine learning architectural design decisions, developing and reviewing model and application code, and ensuring high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. You'll also mentor other engineers and further develop your technical knowledge and skills to keep Capital One at the cutting edge of technology. What you'll do in the role: Deliver ML models and software components that solve challenging business problems in the financial services industry, working in collaboration with the Product, Architecture, Engineering, and Data Science teams Drive the creation and evolution of ML models and software that enable state-of-the-art intelligent systems Lead large-scale ML initiatives with the customer in mind Leverage cloud-based architectures and technologies to deliver optimized ML models at scale Optimize data pipelines to feed ML models Use programming languages like Python, Scala, C/C++ Leverage compute technologies such as Dask and RAPIDS Evangelize best practices in all aspects of the engineering and modeling lifecycles Help recruit, nurture, and retain top engineering talent Basic Qualifications: Bachelor's degree At least 10 years of experience designing and building data-intensive solutions using distributed computing At least 7 years of experience programming in C, C++, Python, or Scala At least 4 years of experience with the full ML development lifecycle using modern technology in a business critical setting Preferred Qualifications: Master's Degree 3+ years of experience designing, implementing, and scaling production-ready data pipelines that feed ML models 3+ years of experience using Dask, RAPIDS, or in High Performance Computing 3+ years of experience with the PyData ecosystem (NumPy, Pandas, and Scikit-learn) Ability to communicate complex technical concepts clearly to a variety of audiences ML industry impact through conference presentations, papers, blog posts, or open source contributions Ability to attract and develop high-performing software engineers with an inspiring leadership style Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr Distinguished Machine Learning Engineer Plano, TX: $286,200 - $326,700 for Sr Distinguished Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
Description: Southeast Elevator is Florida's premier home elevator company, serving customers across the state through our family of brands. We're looking for a skilled CAD Designer to join our growing technical team - someone who thrives in a fast-paced environment, takes pride in precision, and can deliver high-quality 3D models and production drawings on demanding timelines. This role is office based What You'll Do Develop detailed 3D models and assemblies in SolidWorks for residential elevator systems and components Create exploded view drawings for installation guides, service manuals, and parts documentation Produce accurate 2D production drawings with full tolerancing and GD&T notation Configure product variants and custom specifications using parametric modeling techniques Collaborate daily with Project Managers on job-specific design requirements and timelines Work directly with Field Supervisors to ensure drawings reflect real-world installation conditions and constraints Maintain and organize an accurate drawing library and revision history Support quoting and estimating with CAD-generated documentation Meet project deadlines consistently in a deadline-driven production environment Requirements: What We're Looking For Extensive hands-on experience with SolidWorks - modeling, assemblies, drawings, and exploded views Demonstrated ability to work accurately under tight deadlines and handle multiple concurrent projects Available and responsive during standard business hours - real-time collaboration is a core part of this role Strong interpersonal skills to work effectively with Project Managers and Field Supervisors Strong understanding of manufacturing tolerances, materials, and mechanical assemblies Proficiency in creating clear, professional documentation for technical and non-technical audiences Associate's or Bachelor's degree in Mechanical Design, Engineering Technology, or related field preferred - or equivalent experience Comfortable working via VPN remote desktop in a structured IT environment Knowledge & Skills (Preferred) Experience with DriveWorks CPQ (Configure, Price, Quote) software - candidates with DriveWorks Solo or Pro experience will receive strong preference. Ability to build or maintain DriveWorks rules, forms, and automation is a significant asset. ( Strongly Preferred) Prior experience in the elevator, lift, or vertical transportation industry Background working with custom manufactured or configured-to-order products Exposure to PDM/PLM systems for drawing and revision control NetSuite or an ERP/MRP system as a plus? Benefits 401(k) with company match Health, dental, vision and life insurance Paid time off Professional development assistance Employee referral program Relocation assistance About Southeast Elevator For over 30 years, Southeast Elevator has been Florida's leading provider of custom residential elevators. We specialize in designing, building, installing, and servicing elevators that bring accessibility and luxury to homes. Headquartered in Fort Pierce, FL, we have local installation teams and certified service technicians located across Florida, North Carolina, South Carolina, and Texas. As a full-service manufacturer, we custom-build residential elevators for both new construction and retrofit projects. Our turn-key solutions make adding an elevator to your home easy and convenient. Equal Opportunity Employer Southeast Elevator is an Equal Opportunity Employer committed to fostering an inclusive, diverse, and equitable workplace. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, sex, pregnancy, age, veteran status, religion, national origin, genetic information, disability, sexual orientation, or gender identity. We believe diversity drives innovation and success. PIacd724650d27-1435
07/27/2026
Full time
Description: Southeast Elevator is Florida's premier home elevator company, serving customers across the state through our family of brands. We're looking for a skilled CAD Designer to join our growing technical team - someone who thrives in a fast-paced environment, takes pride in precision, and can deliver high-quality 3D models and production drawings on demanding timelines. This role is office based What You'll Do Develop detailed 3D models and assemblies in SolidWorks for residential elevator systems and components Create exploded view drawings for installation guides, service manuals, and parts documentation Produce accurate 2D production drawings with full tolerancing and GD&T notation Configure product variants and custom specifications using parametric modeling techniques Collaborate daily with Project Managers on job-specific design requirements and timelines Work directly with Field Supervisors to ensure drawings reflect real-world installation conditions and constraints Maintain and organize an accurate drawing library and revision history Support quoting and estimating with CAD-generated documentation Meet project deadlines consistently in a deadline-driven production environment Requirements: What We're Looking For Extensive hands-on experience with SolidWorks - modeling, assemblies, drawings, and exploded views Demonstrated ability to work accurately under tight deadlines and handle multiple concurrent projects Available and responsive during standard business hours - real-time collaboration is a core part of this role Strong interpersonal skills to work effectively with Project Managers and Field Supervisors Strong understanding of manufacturing tolerances, materials, and mechanical assemblies Proficiency in creating clear, professional documentation for technical and non-technical audiences Associate's or Bachelor's degree in Mechanical Design, Engineering Technology, or related field preferred - or equivalent experience Comfortable working via VPN remote desktop in a structured IT environment Knowledge & Skills (Preferred) Experience with DriveWorks CPQ (Configure, Price, Quote) software - candidates with DriveWorks Solo or Pro experience will receive strong preference. Ability to build or maintain DriveWorks rules, forms, and automation is a significant asset. ( Strongly Preferred) Prior experience in the elevator, lift, or vertical transportation industry Background working with custom manufactured or configured-to-order products Exposure to PDM/PLM systems for drawing and revision control NetSuite or an ERP/MRP system as a plus? Benefits 401(k) with company match Health, dental, vision and life insurance Paid time off Professional development assistance Employee referral program Relocation assistance About Southeast Elevator For over 30 years, Southeast Elevator has been Florida's leading provider of custom residential elevators. We specialize in designing, building, installing, and servicing elevators that bring accessibility and luxury to homes. Headquartered in Fort Pierce, FL, we have local installation teams and certified service technicians located across Florida, North Carolina, South Carolina, and Texas. As a full-service manufacturer, we custom-build residential elevators for both new construction and retrofit projects. Our turn-key solutions make adding an elevator to your home easy and convenient. Equal Opportunity Employer Southeast Elevator is an Equal Opportunity Employer committed to fostering an inclusive, diverse, and equitable workplace. We welcome applicants of all backgrounds and do not discriminate on the basis of race, color, sex, pregnancy, age, veteran status, religion, national origin, genetic information, disability, sexual orientation, or gender identity. We believe diversity drives innovation and success. PIacd724650d27-1435
Description: Job Summary IMA Automation USA Inc, located in Elgin, IL is looking to add to our service team to work both in Elgin, IL and the field at customer sites. If you like to travel - domestically and internationally this role is for you? The Field Service Engineer is responsible for machine builds, installations, preventative maintenance, and service on machines at various customer sites. Essential Duties and Responsibilities Perform machine construction and shipping activities in-house and/or at customer facilities. Service and troubleshoot mechanical assemblies, identifying, analyzing and repairing product failures. Order and replace parts. Perform retrofits and upgrades at customer site. Respond to service calls promptly. Assemble components and sub-assemblies according to engineering drawings. Design, fabricate and modify parts as required. Perform set-up and alignment of the system and subassemblies. Perform machine debug activities. Perform final debug, FAT, SAT, disassemble and reassemble automation lines. Develop professional relationships with customers. Provide equipment training to customers. Assist engineering team with design problems and suggest improvements. Detect unusual conditions, defective material, and operating difficulties. Determine and recommend products and services best fit the customer's needs. Represent IMA Automation in a professional manner. Adhere to all IMA and customer safety regulations. Ability to travel 50-75% of the time. Other duties as assigned. Requirements: Required Competencies/Skills Bachelor's degree in, Mechanical, or Mechatronics Engineering, or related field (combination of education and experience). Strong communication, organizational, leadership, problem-solving, and interpersonal skills. Ability to effectively handle multiple priorities in a fast-paced environment. Technical background with hands-on experience in machine building. Ability to read and interpret engineering drawings. Strong knowledge of inspection and measuring tools such as scales, calipers, micrometers, multi-meters, dB meters, etc. Preferred Competencies/Skills Experience with Automation machines. Working knowledge of 24v sensors. Working knowledge of pneumatics. Electrical knowledge a plus. Working knowledge of Microsoft products. Familiarity with Lean/Six Sigma or continuous improvement methodologies. Working Conditions Work will be performed mainly at customer sites which will require travel to other locations and work in different environments. May involve extended hours during peak periods or special projects. Physical Requirements Ability to sit, stand, and work on a computer for extended periods. Light lifting (up to 50 lbs.) may occasionally be required. Be able to travel or work off shifts to accommodate company or customer requirements; both domestically and internationally. Benefits Company paid medical for employee only No cost for dental and vision insurance Company paid STD/LTD 12 Holidays PTO/Vacation 401k Match PI177b1abecd9f-1662
07/27/2026
Full time
Description: Job Summary IMA Automation USA Inc, located in Elgin, IL is looking to add to our service team to work both in Elgin, IL and the field at customer sites. If you like to travel - domestically and internationally this role is for you? The Field Service Engineer is responsible for machine builds, installations, preventative maintenance, and service on machines at various customer sites. Essential Duties and Responsibilities Perform machine construction and shipping activities in-house and/or at customer facilities. Service and troubleshoot mechanical assemblies, identifying, analyzing and repairing product failures. Order and replace parts. Perform retrofits and upgrades at customer site. Respond to service calls promptly. Assemble components and sub-assemblies according to engineering drawings. Design, fabricate and modify parts as required. Perform set-up and alignment of the system and subassemblies. Perform machine debug activities. Perform final debug, FAT, SAT, disassemble and reassemble automation lines. Develop professional relationships with customers. Provide equipment training to customers. Assist engineering team with design problems and suggest improvements. Detect unusual conditions, defective material, and operating difficulties. Determine and recommend products and services best fit the customer's needs. Represent IMA Automation in a professional manner. Adhere to all IMA and customer safety regulations. Ability to travel 50-75% of the time. Other duties as assigned. Requirements: Required Competencies/Skills Bachelor's degree in, Mechanical, or Mechatronics Engineering, or related field (combination of education and experience). Strong communication, organizational, leadership, problem-solving, and interpersonal skills. Ability to effectively handle multiple priorities in a fast-paced environment. Technical background with hands-on experience in machine building. Ability to read and interpret engineering drawings. Strong knowledge of inspection and measuring tools such as scales, calipers, micrometers, multi-meters, dB meters, etc. Preferred Competencies/Skills Experience with Automation machines. Working knowledge of 24v sensors. Working knowledge of pneumatics. Electrical knowledge a plus. Working knowledge of Microsoft products. Familiarity with Lean/Six Sigma or continuous improvement methodologies. Working Conditions Work will be performed mainly at customer sites which will require travel to other locations and work in different environments. May involve extended hours during peak periods or special projects. Physical Requirements Ability to sit, stand, and work on a computer for extended periods. Light lifting (up to 50 lbs.) may occasionally be required. Be able to travel or work off shifts to accommodate company or customer requirements; both domestically and internationally. Benefits Company paid medical for employee only No cost for dental and vision insurance Company paid STD/LTD 12 Holidays PTO/Vacation 401k Match PI177b1abecd9f-1662
Job Description Continuous Improvement (CI) Coordinator - Fife, WA Shift: Swing Shift - 3:00 - Midnight (plus $ shift differential) Pay Range: $ - $ per hour Position Summary Milgard Windows and Doors, part of MITER Brands, is seeking a motivated and detail-oriented Continuous Improvement (CI) Coordinator to support our facility's operational excellence initiatives. This role is responsible for coordinating process improvement activities that drive safety, quality, delivery, productivity, and cost performance throughout the operation. Working closely with plant leadership and cross-functional teams, the CI Coordinator will help identify improvement opportunities, facilitate Lean Manufacturing activities, track project progress, analyze operational data, and support a culture of continuous improvement. The ideal candidate is passionate about problem-solving, process optimization, employee engagement, and operational excellence and is eager to make a measurable impact in a fast-paced manufacturing environment. About MITER Brands MITER Brands is one of the nation's largest manufacturers of residential windows and doors, with a family of leading brands serving homeowners, builders, dealers, and commercial partners throughout North America. Driven by innovation, operational excellence, and a commitment to exceptional customer experiences, MITER Brands designs and manufactures high-quality products that help make homes safer, more comfortable, and more energy efficient. Our people are at the heart of everything we do. We believe in fostering a culture where team members are empowered to contribute ideas, solve problems, and continuously improve the way we work. Essential Duties and Responsibilities Continuous Improvement Support Support facility Continuous Improvement initiatives focused on improving safety, quality, productivity, efficiency, and operational performance. Identify, document, and evaluate process improvement opportunities through direct observation, employee feedback, and data analysis. Coordinate Continuous Improvement projects that align with operational goals and business objectives. Facilitate and support Kaizen events, process improvement workshops, and structured problem-solving activities. Assist with process mapping, time studies, waste identification, root cause analysis, and improvement implementation. Utilize Continuous Improvement tools including A3 Problem Solving, 5 Why Analysis, and RHEO Smart Video technology to support process enhancements. Track improvement opportunities, project timelines, action items, and results to ensure sustainability and accountability. Project Coordination Coordinate project schedules, meetings, communications, and follow-up activities. Maintain project documentation, performance metrics, and Continuous Improvement records. Monitor project milestones and communicate progress updates to facility leadership and stakeholders. Assist teams in identifying and removing barriers to successful implementation. Escalate issues as needed to maintain project momentum and achieve desired outcomes. Collect, organize, and analyze data to measure project effectiveness and operational impact. Training and Employee Engagement Support the delivery of Lean Manufacturing and Continuous Improvement training programs. Assist with onboarding employees to CI tools, methodologies, and expectations. Encourage employee participation in improvement initiatives, suggestion programs, and problem-solving activities. Partner with leaders to recognize and celebrate successful improvement efforts. Promote a culture of accountability, teamwork, innovation, and continuous learning. Data Analysis and Reporting Gather, analyze, and present operational data to support business decisions and improvement efforts. Develop reports, dashboards, visual management tools, and performance scorecards. Track and report productivity improvements, cost savings, quality enhancements, and project outcomes. Provide data-driven recommendations to support operational excellence initiatives. Additional Responsibilities Support plant safety programs and maintain compliance with all company policies and procedures. Participate in audits, assessments, and operational reviews as required. Assist with special projects and other duties as assigned. Demonstrate MITER Brands' values and commitment to continuous improvement and customer satisfaction. Qualifications Education & Experience Associate degree required. Bachelor's degree in business, Manufacturing, Operations Management, Engineering, or a related field preferred. 2-4 years of experience in manufacturing, operations, continuous improvement, project coordination, or a related analytical role. Experience supporting cross-functional projects and tracking performance metrics preferred. Exposure to Lean Manufacturing, Six Sigma, or other process improvement methodologies preferred. Lean Six Sigma Yellow Belt or Green Belt certification is a plus. Knowledge, Skills & Abilities Working knowledge of Lean Manufacturing and Continuous Improvement principles. Strong organizational, planning, and project coordination skills. Ability to gather, interpret, and analyze operational data. Excellent communication and interpersonal skills with the ability to work effectively across all levels of the organization. Strong attention to detail and commitment to follow-through. Ability to manage multiple priorities in a fast-paced manufacturing environment. Proficiency in Microsoft Office Suite, particularly Excel, PowerPoint, and Outlook. Experience with manufacturing systems, ERP platforms, reporting tools, or data visualization software is a plus. Why MITER Brands? At MITER Brands, you'll do more than build a career-you'll help build an industry-leading organization focused on innovation, growth, and operational excellence. What You Can Expect: Opportunities for Growth - We invest in our team members through career development, training, and advancement opportunities. Make an Impact - Your ideas and contributions directly influence plant performance, efficiency, and employee engagement. Continuous Improvement Culture - Join a company that embraces Lean principles, innovation, and problem-solving at every level. Collaborative Team Environment - Work alongside leaders and teammates who value respect, accountability, teamwork, and excellence. Industry Leadership - Be part of one of North America's largest and fastest-growing window and door manufacturers. Meaningful Work - Help create products that enhance homes and improve everyday life for customers across the country. Join MITER Brands and be part of a team that's Building a Better Tomorrow-one improvement at a time. What We Offer At MITER Brands, we invest in your health, wealth, and wellness. Our comprehensive benefits package supports you and your eligible spouse/dependents while helping you achieve your personal and professional goals. We offer competitive pay, a 401(k) with company match, and generous paid time off to help you maintain a healthy work-life balance. Health & Wellness Three comprehensive medical plan optionsPrescription drug coverageDental insuranceVision insuranceTeladoc virtual healthcare servicesEmployee Assistance Program (EAP)Annual Wellness Clinic Financial Protection Company-paid Life InsuranceVoluntary Life InsuranceCompany-paid Short-Term DisabilityCompany-paid Long-Term DisabilitySupplemental Hospital Indemnity InsuranceCritical Illness InsuranceAccident Insurance Additional Benefits Paid Time Off (PTO) and paid holidays401(k) retirement plan with company matchTuition Reimbursement ProgramLegal InsuranceIdentity Theft ProtectionPet InsuranceTeam Member Discount Program MITER Brands, including MI Windows and Doors, Milgard, and PGT Innovations, is an Equal Opportunity Employer. We are committed to fostering an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, or any other protected status under applicable law. Work Authorization and Sponsorship Disclosure: The Company does not offer employer sponsorship at this time. Therefore, candidates must provide truthful and complete information regarding their eligibility to work in the and any current or future need for employment sponsorship. Misrepresentation regarding work authorization or sponsorship need at any stage of the hiring process will result in disqualification from consideration, rescission of an employment offer, or termination of employment.
07/27/2026
Full time
Job Description Continuous Improvement (CI) Coordinator - Fife, WA Shift: Swing Shift - 3:00 - Midnight (plus $ shift differential) Pay Range: $ - $ per hour Position Summary Milgard Windows and Doors, part of MITER Brands, is seeking a motivated and detail-oriented Continuous Improvement (CI) Coordinator to support our facility's operational excellence initiatives. This role is responsible for coordinating process improvement activities that drive safety, quality, delivery, productivity, and cost performance throughout the operation. Working closely with plant leadership and cross-functional teams, the CI Coordinator will help identify improvement opportunities, facilitate Lean Manufacturing activities, track project progress, analyze operational data, and support a culture of continuous improvement. The ideal candidate is passionate about problem-solving, process optimization, employee engagement, and operational excellence and is eager to make a measurable impact in a fast-paced manufacturing environment. About MITER Brands MITER Brands is one of the nation's largest manufacturers of residential windows and doors, with a family of leading brands serving homeowners, builders, dealers, and commercial partners throughout North America. Driven by innovation, operational excellence, and a commitment to exceptional customer experiences, MITER Brands designs and manufactures high-quality products that help make homes safer, more comfortable, and more energy efficient. Our people are at the heart of everything we do. We believe in fostering a culture where team members are empowered to contribute ideas, solve problems, and continuously improve the way we work. Essential Duties and Responsibilities Continuous Improvement Support Support facility Continuous Improvement initiatives focused on improving safety, quality, productivity, efficiency, and operational performance. Identify, document, and evaluate process improvement opportunities through direct observation, employee feedback, and data analysis. Coordinate Continuous Improvement projects that align with operational goals and business objectives. Facilitate and support Kaizen events, process improvement workshops, and structured problem-solving activities. Assist with process mapping, time studies, waste identification, root cause analysis, and improvement implementation. Utilize Continuous Improvement tools including A3 Problem Solving, 5 Why Analysis, and RHEO Smart Video technology to support process enhancements. Track improvement opportunities, project timelines, action items, and results to ensure sustainability and accountability. Project Coordination Coordinate project schedules, meetings, communications, and follow-up activities. Maintain project documentation, performance metrics, and Continuous Improvement records. Monitor project milestones and communicate progress updates to facility leadership and stakeholders. Assist teams in identifying and removing barriers to successful implementation. Escalate issues as needed to maintain project momentum and achieve desired outcomes. Collect, organize, and analyze data to measure project effectiveness and operational impact. Training and Employee Engagement Support the delivery of Lean Manufacturing and Continuous Improvement training programs. Assist with onboarding employees to CI tools, methodologies, and expectations. Encourage employee participation in improvement initiatives, suggestion programs, and problem-solving activities. Partner with leaders to recognize and celebrate successful improvement efforts. Promote a culture of accountability, teamwork, innovation, and continuous learning. Data Analysis and Reporting Gather, analyze, and present operational data to support business decisions and improvement efforts. Develop reports, dashboards, visual management tools, and performance scorecards. Track and report productivity improvements, cost savings, quality enhancements, and project outcomes. Provide data-driven recommendations to support operational excellence initiatives. Additional Responsibilities Support plant safety programs and maintain compliance with all company policies and procedures. Participate in audits, assessments, and operational reviews as required. Assist with special projects and other duties as assigned. Demonstrate MITER Brands' values and commitment to continuous improvement and customer satisfaction. Qualifications Education & Experience Associate degree required. Bachelor's degree in business, Manufacturing, Operations Management, Engineering, or a related field preferred. 2-4 years of experience in manufacturing, operations, continuous improvement, project coordination, or a related analytical role. Experience supporting cross-functional projects and tracking performance metrics preferred. Exposure to Lean Manufacturing, Six Sigma, or other process improvement methodologies preferred. Lean Six Sigma Yellow Belt or Green Belt certification is a plus. Knowledge, Skills & Abilities Working knowledge of Lean Manufacturing and Continuous Improvement principles. Strong organizational, planning, and project coordination skills. Ability to gather, interpret, and analyze operational data. Excellent communication and interpersonal skills with the ability to work effectively across all levels of the organization. Strong attention to detail and commitment to follow-through. Ability to manage multiple priorities in a fast-paced manufacturing environment. Proficiency in Microsoft Office Suite, particularly Excel, PowerPoint, and Outlook. Experience with manufacturing systems, ERP platforms, reporting tools, or data visualization software is a plus. Why MITER Brands? At MITER Brands, you'll do more than build a career-you'll help build an industry-leading organization focused on innovation, growth, and operational excellence. What You Can Expect: Opportunities for Growth - We invest in our team members through career development, training, and advancement opportunities. Make an Impact - Your ideas and contributions directly influence plant performance, efficiency, and employee engagement. Continuous Improvement Culture - Join a company that embraces Lean principles, innovation, and problem-solving at every level. Collaborative Team Environment - Work alongside leaders and teammates who value respect, accountability, teamwork, and excellence. Industry Leadership - Be part of one of North America's largest and fastest-growing window and door manufacturers. Meaningful Work - Help create products that enhance homes and improve everyday life for customers across the country. Join MITER Brands and be part of a team that's Building a Better Tomorrow-one improvement at a time. What We Offer At MITER Brands, we invest in your health, wealth, and wellness. Our comprehensive benefits package supports you and your eligible spouse/dependents while helping you achieve your personal and professional goals. We offer competitive pay, a 401(k) with company match, and generous paid time off to help you maintain a healthy work-life balance. Health & Wellness Three comprehensive medical plan optionsPrescription drug coverageDental insuranceVision insuranceTeladoc virtual healthcare servicesEmployee Assistance Program (EAP)Annual Wellness Clinic Financial Protection Company-paid Life InsuranceVoluntary Life InsuranceCompany-paid Short-Term DisabilityCompany-paid Long-Term DisabilitySupplemental Hospital Indemnity InsuranceCritical Illness InsuranceAccident Insurance Additional Benefits Paid Time Off (PTO) and paid holidays401(k) retirement plan with company matchTuition Reimbursement ProgramLegal InsuranceIdentity Theft ProtectionPet InsuranceTeam Member Discount Program MITER Brands, including MI Windows and Doors, Milgard, and PGT Innovations, is an Equal Opportunity Employer. We are committed to fostering an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, or any other protected status under applicable law. Work Authorization and Sponsorship Disclosure: The Company does not offer employer sponsorship at this time. Therefore, candidates must provide truthful and complete information regarding their eligibility to work in the and any current or future need for employment sponsorship. Misrepresentation regarding work authorization or sponsorship need at any stage of the hiring process will result in disqualification from consideration, rescission of an employment offer, or termination of employment.
Job Description Customer Experience Manager Western Architectural Openings A MITER Brands Company Schedule: 7:00 AM - 4:00 PM Position Overview Western Architectural Openings is seeking a Customer Experience Manager to build and lead our Customer Experience Support team. This role is responsible for creating a seamless and proactive customer journey across the entire order lifecycle-from project conception and order placement through delivery, installation, and post-sale support. The Customer Experience Manager will lead a team of Customer Experience Specialists, establish service standards, drive process improvements, and serve as a key partner to Sales, Operations, Engineering, Service, and Marketing teams. This position plays a critical role in strengthening customer relationships while delivering an experience that reflects the craftsmanship, quality, and service excellence associated with the Western brand. The ideal candidate is a customer-focused leader who thrives in a fast-paced environment, excels at developing teams and processes, and is passionate about creating positive customer experiences that drive loyalty and business growth. About MITER Brands & Western Architectural Openings Western Architectural Openings, part of MITER Brands, combines innovative design, exceptional craftsmanship, and industry-leading service to deliver premium window and door solutions for architects, builders, and homeowners. As one of North America's largest window and door manufacturers, MITER Brands brings the scale, resources, and stability of a national organization while preserving the entrepreneurial spirit and customer focus of its individual brands. Together, Western and MITER Brands are committed to providing exceptional products, fostering a culture of collaboration and innovation, and creating opportunities for employees to build meaningful careers while shaping the future of the building products industry. Key Responsibilities Lead, coach, and develop a team of Customer Experience Specialists while fostering a culture of accountability, ownership, collaboration, and customer advocacy. Manage and continuously improve the customer experience throughout all stages of the customer journey, including project consultation, order management, delivery coordination, installation support, and post-sale service. Establish and maintain service standards, procedures, and best practices to ensure a consistent and high-quality customer experience. Drive process improvement initiatives that enhance customer satisfaction, increase operational efficiency, and reduce service-related issues. Serve as an escalation point for complex customer concerns, ensuring prompt resolution and effective communication. Partner closely with Sales, Operations, Engineering, Service, Marketing, and IT teams to align processes and deliver a seamless customer experience. Develop training materials, playbooks, and standard operating procedures to support employee development and consistency in service delivery. Monitor, analyze, and report on key performance indicators (KPIs), including customer satisfaction, response times, issue resolution, and team productivity. Leverage customer feedback and performance data to identify trends and recommend improvements. Champion the Western Architectural Openings brand by ensuring every customer interaction reflects professionalism, quality, and responsiveness. Demonstrate MITER Brands' Guiding Principles in all business interactions. Perform other duties as assigned. Qualifications 5-8 years of leadership experience in customer experience, customer service, account management, project coordination, or related customer-facing functions. Proven success leading teams and developing high-performing customer service organizations. Experience creating, implementing, and improving customer-focused processes and programs. Strong communication, problem-solving, coaching, and relationship-building skills. Ability to manage multiple priorities and drive results in a fast-paced, evolving environment. Experience utilizing CRM systems, customer service platforms, and performance reporting tools. Demonstrated ability to collaborate effectively across multiple departments and levels of the organization. Passion for delivering exceptional customer experiences and building long-term customer relationships. Education & Experience Bachelor's degree in Business, Marketing, Construction Management, Communications, or a related field preferred. Experience within the window and door, building products, construction, manufacturing, architectural products, or a related industry strongly preferred. Equivalent combinations of education, training, and experience will be considered. Travel Requirements Occasional travel may be required, including overnight travel as needed. Why Join Western Architectural Openings & MITER Brands? Western Architectural Openings is part of MITER Brands, one of North America's leading manufacturers of high-quality windows and doors. Together, we combine innovation, craftsmanship, and customer commitment to deliver exceptional solutions to homeowners, architects, builders, and dealers. What You'll Gain Leadership Opportunity: Build and shape a growing customer experience function with significant business impact. Professional Growth: Join a thriving organization committed to talent development and career advancement. Collaborative Environment: Partner with cross-functional teams to drive meaningful improvements and customer-focused solutions. Industry Leadership: Be part of a company recognized for quality, innovation, and excellence in the building products industry. Stability and Momentum: Join a growing organization with a strong vision, people-first culture, and long-term commitment to success. What We Offer At MITER Brands, we invest in your health, wealth, and wellness. Our comprehensive benefits package supports you and your eligible spouse/dependents while helping you achieve your personal and professional goals. We offer competitive pay, a 401(k) with company match, and generous paid time off to help you maintain a healthy work-life balance. Health & Wellness Three comprehensive medical plan optionsPrescription drug coverageDental insuranceVision insuranceTeladoc virtual healthcare servicesEmployee Assistance Program (EAP)Annual Wellness Clinic Financial Protection Company-paid Life InsuranceVoluntary Life InsuranceCompany-paid Short-Term DisabilityCompany-paid Long-Term DisabilitySupplemental Hospital Indemnity InsuranceCritical Illness InsuranceAccident Insurance Additional Benefits Paid Time Off (PTO) and paid holidays401(k) retirement plan with company matchTuition Reimbursement ProgramLegal InsuranceIdentity Theft ProtectionPet InsuranceTeam Member Discount Program MITER Brands, including MI Windows and Doors, Milgard, and PGT Innovations, is an Equal Opportunity Employer. We are committed to fostering an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, or any other protected status under applicable law. Work Authorization and Sponsorship Disclosure: The Company does not offer employer sponsorship at this time. Therefore, candidates must provide truthful and complete information regarding their eligibility to work in the and any current or future need for employment sponsorship. Misrepresentation regarding work authorization or sponsorship need at any stage of the hiring process will result in disqualification from consideration, rescission of an employment offer, or termination of employment.
07/27/2026
Full time
Job Description Customer Experience Manager Western Architectural Openings A MITER Brands Company Schedule: 7:00 AM - 4:00 PM Position Overview Western Architectural Openings is seeking a Customer Experience Manager to build and lead our Customer Experience Support team. This role is responsible for creating a seamless and proactive customer journey across the entire order lifecycle-from project conception and order placement through delivery, installation, and post-sale support. The Customer Experience Manager will lead a team of Customer Experience Specialists, establish service standards, drive process improvements, and serve as a key partner to Sales, Operations, Engineering, Service, and Marketing teams. This position plays a critical role in strengthening customer relationships while delivering an experience that reflects the craftsmanship, quality, and service excellence associated with the Western brand. The ideal candidate is a customer-focused leader who thrives in a fast-paced environment, excels at developing teams and processes, and is passionate about creating positive customer experiences that drive loyalty and business growth. About MITER Brands & Western Architectural Openings Western Architectural Openings, part of MITER Brands, combines innovative design, exceptional craftsmanship, and industry-leading service to deliver premium window and door solutions for architects, builders, and homeowners. As one of North America's largest window and door manufacturers, MITER Brands brings the scale, resources, and stability of a national organization while preserving the entrepreneurial spirit and customer focus of its individual brands. Together, Western and MITER Brands are committed to providing exceptional products, fostering a culture of collaboration and innovation, and creating opportunities for employees to build meaningful careers while shaping the future of the building products industry. Key Responsibilities Lead, coach, and develop a team of Customer Experience Specialists while fostering a culture of accountability, ownership, collaboration, and customer advocacy. Manage and continuously improve the customer experience throughout all stages of the customer journey, including project consultation, order management, delivery coordination, installation support, and post-sale service. Establish and maintain service standards, procedures, and best practices to ensure a consistent and high-quality customer experience. Drive process improvement initiatives that enhance customer satisfaction, increase operational efficiency, and reduce service-related issues. Serve as an escalation point for complex customer concerns, ensuring prompt resolution and effective communication. Partner closely with Sales, Operations, Engineering, Service, Marketing, and IT teams to align processes and deliver a seamless customer experience. Develop training materials, playbooks, and standard operating procedures to support employee development and consistency in service delivery. Monitor, analyze, and report on key performance indicators (KPIs), including customer satisfaction, response times, issue resolution, and team productivity. Leverage customer feedback and performance data to identify trends and recommend improvements. Champion the Western Architectural Openings brand by ensuring every customer interaction reflects professionalism, quality, and responsiveness. Demonstrate MITER Brands' Guiding Principles in all business interactions. Perform other duties as assigned. Qualifications 5-8 years of leadership experience in customer experience, customer service, account management, project coordination, or related customer-facing functions. Proven success leading teams and developing high-performing customer service organizations. Experience creating, implementing, and improving customer-focused processes and programs. Strong communication, problem-solving, coaching, and relationship-building skills. Ability to manage multiple priorities and drive results in a fast-paced, evolving environment. Experience utilizing CRM systems, customer service platforms, and performance reporting tools. Demonstrated ability to collaborate effectively across multiple departments and levels of the organization. Passion for delivering exceptional customer experiences and building long-term customer relationships. Education & Experience Bachelor's degree in Business, Marketing, Construction Management, Communications, or a related field preferred. Experience within the window and door, building products, construction, manufacturing, architectural products, or a related industry strongly preferred. Equivalent combinations of education, training, and experience will be considered. Travel Requirements Occasional travel may be required, including overnight travel as needed. Why Join Western Architectural Openings & MITER Brands? Western Architectural Openings is part of MITER Brands, one of North America's leading manufacturers of high-quality windows and doors. Together, we combine innovation, craftsmanship, and customer commitment to deliver exceptional solutions to homeowners, architects, builders, and dealers. What You'll Gain Leadership Opportunity: Build and shape a growing customer experience function with significant business impact. Professional Growth: Join a thriving organization committed to talent development and career advancement. Collaborative Environment: Partner with cross-functional teams to drive meaningful improvements and customer-focused solutions. Industry Leadership: Be part of a company recognized for quality, innovation, and excellence in the building products industry. Stability and Momentum: Join a growing organization with a strong vision, people-first culture, and long-term commitment to success. What We Offer At MITER Brands, we invest in your health, wealth, and wellness. Our comprehensive benefits package supports you and your eligible spouse/dependents while helping you achieve your personal and professional goals. We offer competitive pay, a 401(k) with company match, and generous paid time off to help you maintain a healthy work-life balance. Health & Wellness Three comprehensive medical plan optionsPrescription drug coverageDental insuranceVision insuranceTeladoc virtual healthcare servicesEmployee Assistance Program (EAP)Annual Wellness Clinic Financial Protection Company-paid Life InsuranceVoluntary Life InsuranceCompany-paid Short-Term DisabilityCompany-paid Long-Term DisabilitySupplemental Hospital Indemnity InsuranceCritical Illness InsuranceAccident Insurance Additional Benefits Paid Time Off (PTO) and paid holidays401(k) retirement plan with company matchTuition Reimbursement ProgramLegal InsuranceIdentity Theft ProtectionPet InsuranceTeam Member Discount Program MITER Brands, including MI Windows and Doors, Milgard, and PGT Innovations, is an Equal Opportunity Employer. We are committed to fostering an inclusive workplace and do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, or any other protected status under applicable law. Work Authorization and Sponsorship Disclosure: The Company does not offer employer sponsorship at this time. Therefore, candidates must provide truthful and complete information regarding their eligibility to work in the and any current or future need for employment sponsorship. Misrepresentation regarding work authorization or sponsorship need at any stage of the hiring process will result in disqualification from consideration, rescission of an employment offer, or termination of employment.
Position Summary The Field Systems Engineer (FSE) is responsible for attending to service needs of bioMerieux customers within their assigned geographic territory, as well as nationally, on an as-needed basis, utilizing appropriate tools and test equipment. This position requires someone who is a self-starter, with the ability to deliver a best-in-class customer experience, while working remotely without direct supervision and able to conduct overnight travel on short-notice. Typical weekday travel is defined as daily customer visits not requiring overnight travel but expect daily driving of 50% or more. Weekend and Holiday rotational coverage is scheduled with the expectation of additional driving or flying within and/or outside of the standard assigned service region. Standard field service operations for customer support consists of approximately 15% of annual OnCall with the expectation of overnight travel when qualified on products. You will partner directly with a variety of Clinicians, Scientists, Technicians, Biomedical Engineers, and Lab Leadership to optimize the performance of bioMerieux's diverse product portfolio. Primary Duties Territory Management: 60% Customer Service & Technical Execution: Promptly respond to customer needs and perform installations, maintenance, upgrades, and repairs using electronic and computer skills to ensure instruments meet specifications. Relationship Building & Sales Support: Build trust with customers, promote service agreements, and identify sales opportunities for cross-functional teams. Collaboration & Revenue Generation: Foster teamwork across service and support teams while driving field service revenue through billable offerings like preventive maintenance and equipment moves. Travel & On-Call: 10% Training Travel: Attend 6-9 weeks of product training at Durham, NC or St. Louis, MO offices within the first year; future trainings occur as needed. Customer Visit Travel: Travel includes both scheduled and unscheduled visits, with increased overnight stays for wide territories and occasional national travel. On-Call Support: Participate in weekend/holiday on-call rotation ( every 5 weeks), requiring local phone availability and potential national travel for instrument support. Administrative Responsibilities: 20% Documentation & Compliance: Timely and accurate completion of service work orders, QA checklists, and internal training requirements. Scheduling & Reporting: Maintain an up-to-date calendar of availability and submit travel expense reports regularly to avoid penalties. Fleet Management: Follow all company policies related to the use and upkeep of the assigned fleet vehicle. Other Related Duties: 10% Asset & Inventory Management: Maintain spare parts inventory, company-issued vehicle, and all assigned equipment (e.g., laptop, tools, test devices) in good condition and per policy. Professional Development & Collaboration: Continuously improve technical and interpersonal skills, meet annual priorities, and collaborate with sales and applications teams to enhance customer experience. Strategic & Promotional Support: Represent bioMerieux professionally, support trade shows as needed, and provide feedback to Sales, Marketing, and Customer Service to help expand service capabilities Perform all work in compliance with company quality procedures and standards. Performs other duties as assigned. Qualifications Education and Training Bachelor degree in Engineering, Electronic Technology, Computer Science, Biomedical or other related discipline. 4 years related experience including military experience will be accepted in lieu of a bachelor's degree Have and maintain a valid driver's license in state of residence Experience 2+ years of related experience with degree in complex electro-mechanical, electronic, computer, electrical required 6+ years of related experience in lieu of degree in complex electro-mechanical, electronic, computer, electrical required Experience in troubleshooting and/or repair of biomedical, mechanical, electrical, vacuum systems, or similar systems strongly preferred Experience operating independently including managing schedules, customer expectations, and communications both internally and externally; prioritizing tasks; and resolving technical issues without direct oversight preferred Experience in a field service role preferred Experience with host/remote communications and network systems preferred Experience in the principles and practices of laboratory operations preferred Knowledge, Skills, and Abilities Functional skills including critical thinking, adaptability, time management, communication, problem-solving and digital literacy. Technical skills with mastery level commensurate to the job level, marked by specialization and innovation in the field of work. Technical learning aptitude to quickly understand and acquire new technical knowledge and skills. Flexibility, being highly adaptable and resilient to thrive in a dynamic work environment. Learning agility to be able to learn from experiences and apply that knowledge to new situations. Manage and meet competing deadlines, requiring careful prioritization and time management to ensure all tasks are completed on time. Detail orientation to complete tasks without errors and produce high-quality work. Make timely decisions by quickly choosing effective solutions in high-pressure situations for optimal outcomes Thriving in a fast-paced environment by managing tasks, multitasking, and adapting quickly to maintain productivity. Organizing work and resources efficiently to ensure smooth operations Practicing time management to allocate tasks, balance priorities, and meet deadlines efficiently Troubleshooting issues to identify and resolve problems efficiently Demonstrates assertiveness and confidence in the face of a challenge Solution oriented in the face of conflict Action Oriented: Takes action even when facing challenges Perseverance: Demonstrates perseverance and a focus on outcomes Ability to cooperate with others at all levels including leadership Written Communications - including the ability to communicate technical data in written form Effective verbal communication skills Easily accessible and open to communication Build and maintain positive, productive interactions with colleagues Fosters a culture of inclusiveness among all team members Participate in a way that enhances team performance and cohesion. Consistently uphold and reflects the core ethical principles and values that bioMérieux promotes Maintain composure by having the skill of staying calm, focused, and professional in high-pressure or stressful situations. Emotional intelligence by having the ability to recognize, understand, and manage one's own emotions, as well as the emotions of others. Working Conditions and Physical Requirements Ability to remain in stationary position, often standing, for prolonged periods Ability to ascend/descend stairs, ladders, ramps, and the like Ability to wear PPE correctly most of the day Ability to operate heavy machinery Ability to adjust or move objects up to 50 pounds in all directions Domestic travel required up to 90% of time The estimated wage range for this field based role in New Jersey is between $32.90 and $45.00 per hour. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux's bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate's experience and will be presented in writing at the time of the offer. In addition, bioMérieux offers a competitive Total Rewards package that may include: A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options Company-Provided Life and Accidental Death Insurance Short and Long-Term Disability Insurance Retirement Plan including a generous non-discretionary employer contribution and employer match. Adoption Assistance Wellness Programs Employee Assistance Program Commuter Benefits Various voluntary benefit offerings Discount programs Parental leaves PandoLogic. Category: ,
07/27/2026
Full time
Position Summary The Field Systems Engineer (FSE) is responsible for attending to service needs of bioMerieux customers within their assigned geographic territory, as well as nationally, on an as-needed basis, utilizing appropriate tools and test equipment. This position requires someone who is a self-starter, with the ability to deliver a best-in-class customer experience, while working remotely without direct supervision and able to conduct overnight travel on short-notice. Typical weekday travel is defined as daily customer visits not requiring overnight travel but expect daily driving of 50% or more. Weekend and Holiday rotational coverage is scheduled with the expectation of additional driving or flying within and/or outside of the standard assigned service region. Standard field service operations for customer support consists of approximately 15% of annual OnCall with the expectation of overnight travel when qualified on products. You will partner directly with a variety of Clinicians, Scientists, Technicians, Biomedical Engineers, and Lab Leadership to optimize the performance of bioMerieux's diverse product portfolio. Primary Duties Territory Management: 60% Customer Service & Technical Execution: Promptly respond to customer needs and perform installations, maintenance, upgrades, and repairs using electronic and computer skills to ensure instruments meet specifications. Relationship Building & Sales Support: Build trust with customers, promote service agreements, and identify sales opportunities for cross-functional teams. Collaboration & Revenue Generation: Foster teamwork across service and support teams while driving field service revenue through billable offerings like preventive maintenance and equipment moves. Travel & On-Call: 10% Training Travel: Attend 6-9 weeks of product training at Durham, NC or St. Louis, MO offices within the first year; future trainings occur as needed. Customer Visit Travel: Travel includes both scheduled and unscheduled visits, with increased overnight stays for wide territories and occasional national travel. On-Call Support: Participate in weekend/holiday on-call rotation ( every 5 weeks), requiring local phone availability and potential national travel for instrument support. Administrative Responsibilities: 20% Documentation & Compliance: Timely and accurate completion of service work orders, QA checklists, and internal training requirements. Scheduling & Reporting: Maintain an up-to-date calendar of availability and submit travel expense reports regularly to avoid penalties. Fleet Management: Follow all company policies related to the use and upkeep of the assigned fleet vehicle. Other Related Duties: 10% Asset & Inventory Management: Maintain spare parts inventory, company-issued vehicle, and all assigned equipment (e.g., laptop, tools, test devices) in good condition and per policy. Professional Development & Collaboration: Continuously improve technical and interpersonal skills, meet annual priorities, and collaborate with sales and applications teams to enhance customer experience. Strategic & Promotional Support: Represent bioMerieux professionally, support trade shows as needed, and provide feedback to Sales, Marketing, and Customer Service to help expand service capabilities Perform all work in compliance with company quality procedures and standards. Performs other duties as assigned. Qualifications Education and Training Bachelor degree in Engineering, Electronic Technology, Computer Science, Biomedical or other related discipline. 4 years related experience including military experience will be accepted in lieu of a bachelor's degree Have and maintain a valid driver's license in state of residence Experience 2+ years of related experience with degree in complex electro-mechanical, electronic, computer, electrical required 6+ years of related experience in lieu of degree in complex electro-mechanical, electronic, computer, electrical required Experience in troubleshooting and/or repair of biomedical, mechanical, electrical, vacuum systems, or similar systems strongly preferred Experience operating independently including managing schedules, customer expectations, and communications both internally and externally; prioritizing tasks; and resolving technical issues without direct oversight preferred Experience in a field service role preferred Experience with host/remote communications and network systems preferred Experience in the principles and practices of laboratory operations preferred Knowledge, Skills, and Abilities Functional skills including critical thinking, adaptability, time management, communication, problem-solving and digital literacy. Technical skills with mastery level commensurate to the job level, marked by specialization and innovation in the field of work. Technical learning aptitude to quickly understand and acquire new technical knowledge and skills. Flexibility, being highly adaptable and resilient to thrive in a dynamic work environment. Learning agility to be able to learn from experiences and apply that knowledge to new situations. Manage and meet competing deadlines, requiring careful prioritization and time management to ensure all tasks are completed on time. Detail orientation to complete tasks without errors and produce high-quality work. Make timely decisions by quickly choosing effective solutions in high-pressure situations for optimal outcomes Thriving in a fast-paced environment by managing tasks, multitasking, and adapting quickly to maintain productivity. Organizing work and resources efficiently to ensure smooth operations Practicing time management to allocate tasks, balance priorities, and meet deadlines efficiently Troubleshooting issues to identify and resolve problems efficiently Demonstrates assertiveness and confidence in the face of a challenge Solution oriented in the face of conflict Action Oriented: Takes action even when facing challenges Perseverance: Demonstrates perseverance and a focus on outcomes Ability to cooperate with others at all levels including leadership Written Communications - including the ability to communicate technical data in written form Effective verbal communication skills Easily accessible and open to communication Build and maintain positive, productive interactions with colleagues Fosters a culture of inclusiveness among all team members Participate in a way that enhances team performance and cohesion. Consistently uphold and reflects the core ethical principles and values that bioMérieux promotes Maintain composure by having the skill of staying calm, focused, and professional in high-pressure or stressful situations. Emotional intelligence by having the ability to recognize, understand, and manage one's own emotions, as well as the emotions of others. Working Conditions and Physical Requirements Ability to remain in stationary position, often standing, for prolonged periods Ability to ascend/descend stairs, ladders, ramps, and the like Ability to wear PPE correctly most of the day Ability to operate heavy machinery Ability to adjust or move objects up to 50 pounds in all directions Domestic travel required up to 90% of time The estimated wage range for this field based role in New Jersey is between $32.90 and $45.00 per hour. This role is eligible to receive a variable annual bonus based on company, team, and individual performance per bioMerieux's bonus program. This range may differ from ranges offered for similar positions elsewhere in the country given differences in cost of living. Actual compensation within this range is determined based on the successful candidate's experience and will be presented in writing at the time of the offer. In addition, bioMérieux offers a competitive Total Rewards package that may include: A choice of medical (including prescription), dental, and vision plans providing nationwide coverage and telemedicine options Company-Provided Life and Accidental Death Insurance Short and Long-Term Disability Insurance Retirement Plan including a generous non-discretionary employer contribution and employer match. Adoption Assistance Wellness Programs Employee Assistance Program Commuter Benefits Various voluntary benefit offerings Discount programs Parental leaves PandoLogic. Category: ,
OVERVIEW A thriving, mission-driven multimedia organization, NPR produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation. The NPR audience values information, creativity, curiosity, and social responsibility - and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide. Across our organization, we're building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR.This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR.Intro to Position NPR's Digital Media and Technology divisions are expanding the platforms that deliver public media storytelling to over 46 million weekly listeners. To drive this growth, we are seeking a Talent Acquisition Sourcer dedicated to identifying, engaging, and pipelining top technical talent from diverse backgrounds. As a key member of our collaborative Talent Acquisition team, you will establish direct sourcing channels and cultivate relationships with software engineers, product designers, product managers, and digital architects. This role requires an analytical approach, creative search strategies, and a drive for eliminating artificial barriers in technical hiring. By aligning sourcing strategies with NPR's strategic mission, you will directly influence the development of a modern, representative public media ecosystem. Responsibilities Proactively source, map, and engage passive technical talent for high-priority openings across software engineering, UX/UI, digital product, and DevOps teams. Design and execute search strategies using advanced Boolean searches, semantic search networks, GitHub, and diverse professional networks. Develop detailed talent mapping for specialized talent sectors by leveraging sophisticated non-traditional data sources, open source platforms, publications, and conference analysis. Collaborate with Recruitment partners and Technology Division heads to deconstruct technical needs and refine candidate profiles. Evaluate passive candidate profiles and conduct inclusive screening conversations to assess structural fit, career alignment, and technical aptitude. Champion diversity, equity, and inclusion initiatives by proactively finding and building relationships with underrepresented communities in technology. Build, maintain, and segment highly organized digital pipelines and talent pools within our Greenhouse CRM system for future organizational needs. Track, analyze, and present sourcing data to Talent Acquisition and Division leadership, recommending strategy shifts based on conversion metrics. Draft highly compelling, customized outreach messaging that highlights NPR's mission and technical impact to increase candidate response rates. Actively participate in the planning and execution of virtual diversity recruitment events and industry-specific technical meetups. The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time. Minimum Qualifications 4+ years of experience specializing in recruiting research, recruitment sourcing, or full-cycle recruiting within technical domains. Proven track record of sourcing quality candidates across technical disciplines like AI, machine learning, software development, product management and systems engineering. Demonstrated experience leveraging Applicant Tracking Systems (ATS) and Candidate Relationship Management (CRM) databases, with a strong preference for Greenhouse. Proven capability to successfully execute targeted search techniques, including advanced Boolean searches and mapping technical professional spaces. Experience establishing outreach programs aimed at increasing representation of historically marginalized communities within highly technical workspaces. Strong, structured written and verbal communication skills, with an ability to clearly explain complex technical opportunities to prospects. Proven experience collaborating with technology leaders and stakeholders across departments, including leading client meetings and delivering client-facing solutions by building internal trust. Preferred Qualifications Prior experience sourcing technical roles within a digital media, public broadcasting, or multimedia production environment. Active involvement or relationships with national organizations supporting diverse technologists (e.g., Black Girls Code, TechLatino, Out in Tech). Required Skills/Competencies Technical Sourcing Mastery: Advanced knowledge of semantic search tools, Boolean search strings, and alternative tech networks. Relationship Building: Exceptional, people-first interpersonal skills to build trust and long-term interest with technical professionals. Data-Driven Iteration: Ability to track pipeline funnel metrics, pinpoint conversion drop-offs, and adjust sourcing actions accordingly. Strategic Partnership: Utilize strong business acumen skills to provide expert consultation and build trust with internal hiring teams and recruiters. Inclusive Outreach Focus: Applied knowledge of how to write bias-free messaging and build balanced pipelines that reflect organizational inclusion. Education Requirement Bachelor's degree or equivalent work experience in computer science, information systems, human resources, communication, or a related field. Work Location and Requirements NPR Remote-Permitted: This is a remote-permitted role. This role is based out of our Washington, D.C. office, but the employee may choose to work on a remote basis from a location that NPR approves. You will have the option of working (a) remotely from a location of your choosing within the United States that is supported by NPR; (b) on-site at an NPR facility, based on the availability of desks and approval from NPR; or (c) a combination of both. Regardless of where you choose to work from, you may be expected to travel to other locations from time to time to perform the duties of your position. Job Type This is a 6 month temporary full-time, exempt position. Compensation Salary Range: The U.S.-based anticipated salary range for this opportunity is $120,000 plus benefits. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations. NPR Benefits: NPR provides comprehensive benefits for employees and dependents. Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR's benefits options. Benefits include access to health and wellness, paid time off, and financial well-being. Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees. Does this sound like you? If so, we want to hear from you. range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.NPR Pay Range$120,000-$120,000 USD. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal - to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law. If you are a person with a disability needing assistancewith the application process, please reach out to . You may read NPR'sto learn about how NPR may handle information you submit with any application. Want more NPR? Explore the stories behind the stories on our Get social with and . Find more career opportunities at.
07/27/2026
OVERVIEW A thriving, mission-driven multimedia organization, NPR produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation. The NPR audience values information, creativity, curiosity, and social responsibility - and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide. Across our organization, we're building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR.This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR.Intro to Position NPR's Digital Media and Technology divisions are expanding the platforms that deliver public media storytelling to over 46 million weekly listeners. To drive this growth, we are seeking a Talent Acquisition Sourcer dedicated to identifying, engaging, and pipelining top technical talent from diverse backgrounds. As a key member of our collaborative Talent Acquisition team, you will establish direct sourcing channels and cultivate relationships with software engineers, product designers, product managers, and digital architects. This role requires an analytical approach, creative search strategies, and a drive for eliminating artificial barriers in technical hiring. By aligning sourcing strategies with NPR's strategic mission, you will directly influence the development of a modern, representative public media ecosystem. Responsibilities Proactively source, map, and engage passive technical talent for high-priority openings across software engineering, UX/UI, digital product, and DevOps teams. Design and execute search strategies using advanced Boolean searches, semantic search networks, GitHub, and diverse professional networks. Develop detailed talent mapping for specialized talent sectors by leveraging sophisticated non-traditional data sources, open source platforms, publications, and conference analysis. Collaborate with Recruitment partners and Technology Division heads to deconstruct technical needs and refine candidate profiles. Evaluate passive candidate profiles and conduct inclusive screening conversations to assess structural fit, career alignment, and technical aptitude. Champion diversity, equity, and inclusion initiatives by proactively finding and building relationships with underrepresented communities in technology. Build, maintain, and segment highly organized digital pipelines and talent pools within our Greenhouse CRM system for future organizational needs. Track, analyze, and present sourcing data to Talent Acquisition and Division leadership, recommending strategy shifts based on conversion metrics. Draft highly compelling, customized outreach messaging that highlights NPR's mission and technical impact to increase candidate response rates. Actively participate in the planning and execution of virtual diversity recruitment events and industry-specific technical meetups. The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description can be modified at any time. Minimum Qualifications 4+ years of experience specializing in recruiting research, recruitment sourcing, or full-cycle recruiting within technical domains. Proven track record of sourcing quality candidates across technical disciplines like AI, machine learning, software development, product management and systems engineering. Demonstrated experience leveraging Applicant Tracking Systems (ATS) and Candidate Relationship Management (CRM) databases, with a strong preference for Greenhouse. Proven capability to successfully execute targeted search techniques, including advanced Boolean searches and mapping technical professional spaces. Experience establishing outreach programs aimed at increasing representation of historically marginalized communities within highly technical workspaces. Strong, structured written and verbal communication skills, with an ability to clearly explain complex technical opportunities to prospects. Proven experience collaborating with technology leaders and stakeholders across departments, including leading client meetings and delivering client-facing solutions by building internal trust. Preferred Qualifications Prior experience sourcing technical roles within a digital media, public broadcasting, or multimedia production environment. Active involvement or relationships with national organizations supporting diverse technologists (e.g., Black Girls Code, TechLatino, Out in Tech). Required Skills/Competencies Technical Sourcing Mastery: Advanced knowledge of semantic search tools, Boolean search strings, and alternative tech networks. Relationship Building: Exceptional, people-first interpersonal skills to build trust and long-term interest with technical professionals. Data-Driven Iteration: Ability to track pipeline funnel metrics, pinpoint conversion drop-offs, and adjust sourcing actions accordingly. Strategic Partnership: Utilize strong business acumen skills to provide expert consultation and build trust with internal hiring teams and recruiters. Inclusive Outreach Focus: Applied knowledge of how to write bias-free messaging and build balanced pipelines that reflect organizational inclusion. Education Requirement Bachelor's degree or equivalent work experience in computer science, information systems, human resources, communication, or a related field. Work Location and Requirements NPR Remote-Permitted: This is a remote-permitted role. This role is based out of our Washington, D.C. office, but the employee may choose to work on a remote basis from a location that NPR approves. You will have the option of working (a) remotely from a location of your choosing within the United States that is supported by NPR; (b) on-site at an NPR facility, based on the availability of desks and approval from NPR; or (c) a combination of both. Regardless of where you choose to work from, you may be expected to travel to other locations from time to time to perform the duties of your position. Job Type This is a 6 month temporary full-time, exempt position. Compensation Salary Range: The U.S.-based anticipated salary range for this opportunity is $120,000 plus benefits. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations. NPR Benefits: NPR provides comprehensive benefits for employees and dependents. Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR's benefits options. Benefits include access to health and wellness, paid time off, and financial well-being. Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees. Does this sound like you? If so, we want to hear from you. range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.NPR Pay Range$120,000-$120,000 USD. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal - to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law. If you are a person with a disability needing assistancewith the application process, please reach out to . You may read NPR'sto learn about how NPR may handle information you submit with any application. Want more NPR? Explore the stories behind the stories on our Get social with and . Find more career opportunities at.
Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Applied Researcher I (AI Foundations) Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. Leverage a broad stack of technologies - Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more - to reveal the insights hidden within huge volumes of numeric and textual data. Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it's about making the right decision for our customers. Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea. A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond. Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. Has a deep understanding of the foundations of AI methodologies. Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. Experience in delivering libraries, platform level code or solution level code to existing products. A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications: PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields LLM PhD focus on NLP or Masters with 5 years of industrial NLP research experience Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) Publications in deep learning theory Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR Optimization (Training & Inference) PhD focused on topics related to optimizing training of very large deep learning models Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression Experience optimizing training for a 10B+ model Deep knowledge of deep learning algorithmic and/or optimizer design Experience with compiler design Finetuning PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $218,700 - $249,600 for Applied Researcher I McLean, VA: $218,700 - $249,600 for Applied Researcher I New York, NY: $238,600 - $272,300 for Applied Researcher I San Jose, CA: $238,600 - $272,300 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
US AMR-Jones Lang LaSalle Americas, Inc.
New York, New York
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Assistant Chief Engineer - JLL What this job involves: The Assistant Chief Engineer plays a critical role in maintaining a prestigious downtown NYC office building, working alongside the Chief Engineer to ensure seamless operations of all mechanical, electrical, and plumbing systems. This customer-facing position combines technical expertise with leadership responsibilities-you'll oversee inspections, maintenance operations, and team development while independently performing repairs and system upgrades. As a key member of our facilities team, you'll ensure building systems operate at peak performance, mentor team members, and deliver exceptional service that contributes to JLL's reputation for operational excellence in high-profile commercial properties. What your day-to-day will look like: • Supervise operation, inspection, and maintenance of mechanical, electrical, and plumbing systems, ensuring compliance with Service Level Agreements and Key Performance Indicators • Perform preventive and corrective maintenance on facility systems including HVAC equipment (compressors, chillers, cooling towers), plumbing components, and electrical systems • Manage CMMS work order system (MAXIMO preferred) to ensure timely completion of maintenance assignments and accurate documentation • Monitor Building Management Systems (BMS), respond to alarms, analyze system operations, diagnose problems, and implement corrective measures • Conduct facility rounds to inspect building conditions, identify safety hazards, and report issues affecting occupancy and operations • Mentor and train team members in HVAC, electrical, plumbing, and related technical skills while demonstrating proper tool usage and maintenance procedures • Support the Chief Engineer in implementing safety policies and procedures with meticulous attention to detail, maintaining professionalism under stressful situations Required Qualifications: • Associate's degree or equivalent with 4-6+ years of high-tech industry and/or facilities management experience • Comprehensive knowledge of HVAC, mechanical, and electrical processes and troubleshooting (chillers, boilers, cooling towers, air conditioning, pumps, generators, UPS systems) • Experience with CMMS/work order platforms; MAXIMO experience strongly preferred • Ability to solve highly complex problems requiring analysis, considerable judgment, and rational decision-making • Strong customer service skills with ability to maintain professionalism under stressful situations • Excellent presentation and communication skills for client-facing interactions • Availability to provide after-hours support as required Preferred Qualifications: • Proficiency in PowerPoint, MS Office Suite, Visio, and/or CAD software • Experience in high-rise commercial office building environments • NYC-specific certifications or licenses (e.g., Fire Safety Director, Certificate of Fitness) • Previous supervisory or team leadership experience • Knowledge of building codes and regulations specific to New York City • Experience working in LEED-certified or high-performance buildings Location: New York City, NY Work Shift: 8 Hour Day - 1st shift This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 117 000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -New York, NY If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.
07/27/2026
Full time
JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you've got deep experience in commercial real estate, skilled trades or technology, or you're looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Assistant Chief Engineer - JLL What this job involves: The Assistant Chief Engineer plays a critical role in maintaining a prestigious downtown NYC office building, working alongside the Chief Engineer to ensure seamless operations of all mechanical, electrical, and plumbing systems. This customer-facing position combines technical expertise with leadership responsibilities-you'll oversee inspections, maintenance operations, and team development while independently performing repairs and system upgrades. As a key member of our facilities team, you'll ensure building systems operate at peak performance, mentor team members, and deliver exceptional service that contributes to JLL's reputation for operational excellence in high-profile commercial properties. What your day-to-day will look like: • Supervise operation, inspection, and maintenance of mechanical, electrical, and plumbing systems, ensuring compliance with Service Level Agreements and Key Performance Indicators • Perform preventive and corrective maintenance on facility systems including HVAC equipment (compressors, chillers, cooling towers), plumbing components, and electrical systems • Manage CMMS work order system (MAXIMO preferred) to ensure timely completion of maintenance assignments and accurate documentation • Monitor Building Management Systems (BMS), respond to alarms, analyze system operations, diagnose problems, and implement corrective measures • Conduct facility rounds to inspect building conditions, identify safety hazards, and report issues affecting occupancy and operations • Mentor and train team members in HVAC, electrical, plumbing, and related technical skills while demonstrating proper tool usage and maintenance procedures • Support the Chief Engineer in implementing safety policies and procedures with meticulous attention to detail, maintaining professionalism under stressful situations Required Qualifications: • Associate's degree or equivalent with 4-6+ years of high-tech industry and/or facilities management experience • Comprehensive knowledge of HVAC, mechanical, and electrical processes and troubleshooting (chillers, boilers, cooling towers, air conditioning, pumps, generators, UPS systems) • Experience with CMMS/work order platforms; MAXIMO experience strongly preferred • Ability to solve highly complex problems requiring analysis, considerable judgment, and rational decision-making • Strong customer service skills with ability to maintain professionalism under stressful situations • Excellent presentation and communication skills for client-facing interactions • Availability to provide after-hours support as required Preferred Qualifications: • Proficiency in PowerPoint, MS Office Suite, Visio, and/or CAD software • Experience in high-rise commercial office building environments • NYC-specific certifications or licenses (e.g., Fire Safety Director, Certificate of Fitness) • Previous supervisory or team leadership experience • Knowledge of building codes and regulations specific to New York City • Experience working in LEED-certified or high-performance buildings Location: New York City, NY Work Shift: 8 Hour Day - 1st shift This position does not provide visa sponsorship. Candidates must be authorized to work in the United States without sponsorship. Estimated compensation for this position: 117 000.00 USD per year This range is an estimate and actual compensation may differ. Final compensation packages are determined by various considerations including but not limited to candidate qualifications, location, market conditions, and internal considerations. Location: On-site -New York, NY If this job description resonates with you, we encourage you to apply, even if you don't meet all the requirements. We're interested in getting to know you and what you bring to the table! Personalized benefits that support personal well-being and growth: JLL recognizes the impact that the workplace can have on your wellness, so we offer a supportive culture and comprehensive benefits package that prioritizes mental, physical and emotional health. Some of these benefits may include: 401(k) plan with matching company contributions Comprehensive Medical, Dental & Vision Care Paid parental leave at 100% of salary Paid Time Off and Company Holidays Early access to earned wages through Daily Pay At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL's recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement . For additional details please see our career site pages for each country. For candidates in the United States, please see a full copy of our Equal Employment Opportunity policy here . Jones Lang LaSalle ("JLL") is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process - including the online application and/or overall selection process - you may email us at . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL. Pursuant to the Arizona Civil Rights Act, criminal convictions are not an absolute bar to employment. Pursuant to Illinois Law, applicants are not obligated to disclose sealed or expunged records of conviction or arrest. Pursuant to Columbia, SC ordinance, this position is subject to a background check for any convictions directly related to its duties and responsibilities. Only job-related convictions will be considered and will not automatically disqualify the candidate. California Residents only If you are a California resident as defined in the California Consumer Privacy Act (CCPA) please view our Supplemental Privacy Statement which describes your rights and disclosures about your personal information. If you are viewing this on a mobile device you may want to view the CCPA version on a larger device. Pursuant to the Los Angeles Fair Chance Initiative for Hiring Ordinance, JLL will consider for employment all qualified Applicants, including those with Criminal Histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Accepting applications on an ongoing basis until candidate identified.
Sr. Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or XGboost 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
07/27/2026
Full time
Sr. Lead Machine Learning Engineer (IC) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What You'll Do: The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation) Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications Retrain, maintain, and monitor models in production Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. Construct optimized data pipelines to feed ML models Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI Use programming languages like Python, Scala, or Java Basic Qualifications: Bachelor's Degree At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 3 years of experience building, scaling, and optimizing ML systems At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or XGboost 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models 3+ years of people management experience ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 3+ years of experience building production-ready data pipelines that feed ML models Ability to communicate complex technical concepts clearly to a variety of audiences Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer New York, NY: $250,800 - $286,200 for Sr. Lead Machine Learning Engineer Richmond, VA: $209,000 - $238,500 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections ; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1- or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).
GeoStabilization International
Westminster, Colorado
GeoStabilization International (GSI), Access Limited, and RoadGuard together form a leading infrastructure solutions platform dedicated to protecting people and strengthening critical infrastructure across North America and New Zealand. GSI is the premier geohazard mitigation firm specializing in emergency slope stabilization, landslide repair, grouting, and micropiles through innovative design-build delivery. Access Limited brings over a century of steep-slope expertise and operates North America's largest fleet of spider excavators, delivering complex rockfall and geotechnical solutions in the most challenging environments. RoadGuard, founded in 2024, unites industry-leading roadway safety companies providing guardrail, bridge railing, highway signage, fencing, and specialty fabrication services. Across all our businesses, we are driven by innovation, extreme ownership, technical excellence, and a relentless commitment to measurable results that improve safety and infrastructure resilience. Position Summary The Master Scheduling Lead is a senior individual contributor leads enterprise-level project planning and field travel coordination functions.across GSI's infrastructure repair portfolio This role has direct pathway to leadership accountability for a team of Master Schedulers and a Travel Services team. This role drives the end-to-end scheduling lifecycle from sales handoff through project close, with an intense focus on resource optimization, schedule stability, and field productivity. The Lead owns the planning function independently-without direct reports-and is accountable for the key mandate of driving the highest possible volume of projects into stable execution 2-4 weeks before start while simultaneously building the systems, tools, and talent that make the planning function world-class. Core Responsibilities Enterprise Project Planning Receive project handoffs from Sales via PM and translate scope, specs, and commitments into fully resourced master schedules. Plan and allocate all resources required for project execution: materials, equipment, manpower, and subcontractors. Manage scheduling across both a production model (repeating, high-volume work) and project execution model (complex, one-off projects). Target all non-urgent projects entering execution with a stable start date, scheduled at 1 month and locked at 2 weeks prior to mobilization. Maintain a portfolio view of all active and upcoming projects with real-time awareness of resource constraints and interdependencies. Flex Resources & Recovery Planning Develop and maintain a pre-qualified bench of flex resources - material vendors, equipment providers, manpower, and subcontractors-specifically designated for schedule recovery. Deploy flex resources proactively when planned schedules slip due to delays, change orders, or emergency work insertions. Ensure emergency projects can be mobilized rapidly without disrupting committed planned work. Maintain escalation protocols and pre-negotiated terms with flex resources to minimize activation lead time. Daily Management & Cross-Functional Alignment Initiate and facilitate daily management-style standup meetings with all Master Schedulers and the Travel Services to align priorities and resolve execution conflicts. Serve as the coordination hub between Procurement, Fleet, Warehouse, Scheduling, and Travel to ensure resource alignment across the portfolio. Escalate schedule risks, resource gaps, and prioritization conflicts to the VP of Operational Excellence with clear options and recommendations. Planning Tool Development Partner in the design and development of a next-generation dynamic scheduling and resource planning tool capable of running real-time what-if scenarios and optimizing resource allocation across the portfolio. Define functional requirements for multi-dimensional project views including: individual project phase breakdowns, equipment with full spec tracking across all projects, craft manpower with certifications (union vs. non-union, qualifications), subcontractor assignments by project, and material plans with delivery dates. Support the build-out of a Gantt-style master view showing all projects with phase-level dependencies, resource assignments, and RAG (Red/Amber/Green) schedule status across the full portfolio. Serve as primary subject matter expert and user advocate throughout tool development and deployment. KPIs, Reporting & Financial Impact Develop and own the scheduling KPI framework: schedule adherence rate, % of projects locked 2-4 weeks prior to start, resource utilization by type, and schedule recovery rate. Build and maintain financial impact reporting that quantifies the cost consequences of schedule changes: delay penalties, demobilization/remobilization costs, expedite premiums, and lost productivity. Track and report equipment utilization across the portfolio to maximize asset throughput and minimize idle time. Produce regular executive-ready dashboards and reports for the VP of Operational Excellence. Continuous Improvement (Lean Building) Champion a Lean Building mindset: continuously identify and eliminate waste in the scheduling and planning process. Bias every improvement initiative toward clearing the path for field crews to work productively without delays, rework, or resource gaps. Lead root cause analysis on schedule failures and drive systemic fixes into standard planning processes. Document and standardize scheduling best practices, templates, and playbooks for consistent execution. Qualifications Required: 8+ years of experience in project scheduling, planning, or operations in infrastructure repair, construction, utilities, or a related field. Demonstrated experience managing complex, multi-project portfolios at an enterprise scale. Demonstrated experience in change management Proficiency in scheduling software; ability to evaluate and adopt new planning tools. Strong understanding of resource planning across craft labor (union and non-union), equipment, subcontractors, and materials. Experience developing KPIs, dashboards, and financial impact reports tied to schedule performance. Exceptional facilitation and cross-functional communication skills. Preferred: Bachelor's degree in Construction Management, Engineering, Operations, Business, or related field. Lean Six Sigma certification or demonstrated Lean/continuous improvement experience. Experience in infrastructure repair, industrial field services or construction environments. Experience contributing to the design or implementation of enterprise planning/scheduling tools. US pay range for this role. $115,000 - $145,000 USD Soil Nail Holdings and its subsidiaries are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
07/27/2026
Full time
GeoStabilization International (GSI), Access Limited, and RoadGuard together form a leading infrastructure solutions platform dedicated to protecting people and strengthening critical infrastructure across North America and New Zealand. GSI is the premier geohazard mitigation firm specializing in emergency slope stabilization, landslide repair, grouting, and micropiles through innovative design-build delivery. Access Limited brings over a century of steep-slope expertise and operates North America's largest fleet of spider excavators, delivering complex rockfall and geotechnical solutions in the most challenging environments. RoadGuard, founded in 2024, unites industry-leading roadway safety companies providing guardrail, bridge railing, highway signage, fencing, and specialty fabrication services. Across all our businesses, we are driven by innovation, extreme ownership, technical excellence, and a relentless commitment to measurable results that improve safety and infrastructure resilience. Position Summary The Master Scheduling Lead is a senior individual contributor leads enterprise-level project planning and field travel coordination functions.across GSI's infrastructure repair portfolio This role has direct pathway to leadership accountability for a team of Master Schedulers and a Travel Services team. This role drives the end-to-end scheduling lifecycle from sales handoff through project close, with an intense focus on resource optimization, schedule stability, and field productivity. The Lead owns the planning function independently-without direct reports-and is accountable for the key mandate of driving the highest possible volume of projects into stable execution 2-4 weeks before start while simultaneously building the systems, tools, and talent that make the planning function world-class. Core Responsibilities Enterprise Project Planning Receive project handoffs from Sales via PM and translate scope, specs, and commitments into fully resourced master schedules. Plan and allocate all resources required for project execution: materials, equipment, manpower, and subcontractors. Manage scheduling across both a production model (repeating, high-volume work) and project execution model (complex, one-off projects). Target all non-urgent projects entering execution with a stable start date, scheduled at 1 month and locked at 2 weeks prior to mobilization. Maintain a portfolio view of all active and upcoming projects with real-time awareness of resource constraints and interdependencies. Flex Resources & Recovery Planning Develop and maintain a pre-qualified bench of flex resources - material vendors, equipment providers, manpower, and subcontractors-specifically designated for schedule recovery. Deploy flex resources proactively when planned schedules slip due to delays, change orders, or emergency work insertions. Ensure emergency projects can be mobilized rapidly without disrupting committed planned work. Maintain escalation protocols and pre-negotiated terms with flex resources to minimize activation lead time. Daily Management & Cross-Functional Alignment Initiate and facilitate daily management-style standup meetings with all Master Schedulers and the Travel Services to align priorities and resolve execution conflicts. Serve as the coordination hub between Procurement, Fleet, Warehouse, Scheduling, and Travel to ensure resource alignment across the portfolio. Escalate schedule risks, resource gaps, and prioritization conflicts to the VP of Operational Excellence with clear options and recommendations. Planning Tool Development Partner in the design and development of a next-generation dynamic scheduling and resource planning tool capable of running real-time what-if scenarios and optimizing resource allocation across the portfolio. Define functional requirements for multi-dimensional project views including: individual project phase breakdowns, equipment with full spec tracking across all projects, craft manpower with certifications (union vs. non-union, qualifications), subcontractor assignments by project, and material plans with delivery dates. Support the build-out of a Gantt-style master view showing all projects with phase-level dependencies, resource assignments, and RAG (Red/Amber/Green) schedule status across the full portfolio. Serve as primary subject matter expert and user advocate throughout tool development and deployment. KPIs, Reporting & Financial Impact Develop and own the scheduling KPI framework: schedule adherence rate, % of projects locked 2-4 weeks prior to start, resource utilization by type, and schedule recovery rate. Build and maintain financial impact reporting that quantifies the cost consequences of schedule changes: delay penalties, demobilization/remobilization costs, expedite premiums, and lost productivity. Track and report equipment utilization across the portfolio to maximize asset throughput and minimize idle time. Produce regular executive-ready dashboards and reports for the VP of Operational Excellence. Continuous Improvement (Lean Building) Champion a Lean Building mindset: continuously identify and eliminate waste in the scheduling and planning process. Bias every improvement initiative toward clearing the path for field crews to work productively without delays, rework, or resource gaps. Lead root cause analysis on schedule failures and drive systemic fixes into standard planning processes. Document and standardize scheduling best practices, templates, and playbooks for consistent execution. Qualifications Required: 8+ years of experience in project scheduling, planning, or operations in infrastructure repair, construction, utilities, or a related field. Demonstrated experience managing complex, multi-project portfolios at an enterprise scale. Demonstrated experience in change management Proficiency in scheduling software; ability to evaluate and adopt new planning tools. Strong understanding of resource planning across craft labor (union and non-union), equipment, subcontractors, and materials. Experience developing KPIs, dashboards, and financial impact reports tied to schedule performance. Exceptional facilitation and cross-functional communication skills. Preferred: Bachelor's degree in Construction Management, Engineering, Operations, Business, or related field. Lean Six Sigma certification or demonstrated Lean/continuous improvement experience. Experience in infrastructure repair, industrial field services or construction environments. Experience contributing to the design or implementation of enterprise planning/scheduling tools. US pay range for this role. $115,000 - $145,000 USD Soil Nail Holdings and its subsidiaries are equal opportunity employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
