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
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 Senior Community Manager Job Type : Full-Time - Monday - Friday, 8:00am - 4:30pm Make a Difference-And Own Your Future Join Wallick Communities , a 100% employee-owned company with over 55 years of experience in providing affordable housing and assisted living for families and seniors across the Midwest. With 1,000+ associates and a mission to open doors to homes, opportunity, and hope, we take pride in fostering a supportive and collaborative work environment where every employee-owner plays a vital role. A Career with Wallick Means Creating Homes for People Who Need It Most : Providing new beginnings for residents seeking affordable, safe and high-quality housing where they can thrive. Pay-on-Demand: access your money as you earn it. Exceptional Benefit Package : Health, dental, vision insurance effective within 2 weeks of starting your new job . Other benefits like gym membership reimbursement, paid parental leave, 401K, and more! Work-Life Balance: Paid time off, including paid parental leave. Learning & Support : A supportive team that cares about your continued development, well-being and professional growth. Resident Stories That Stay with You : From Henry, who moved into his first-ever home, to Jaci, whose stay at a Wallick community allowed her to achieve homeownership and graduate college, kickstarting her dream career. Career Growth: Tuition reimbursement, t raining, professional development, and advancement opportunities within a company that invests in its people. Employee Owned, Resident Focused : As a 100% employee-owned company, your daily work (supporting our residents) also contributes to your financial future by sharing in our profitability. What You'll Do People Leadership Lead a team of leasing agents and maintenance professionals, ensuring a highly engaged team provides a great experience for our residents. Process community staff payroll. Financial Responsibility Ensure collections of all monies due to the community (i.e., rent) are received and deposited. Process community invoices for payment. Purchase and maintain adequate supplies for the community. Community and Resident Focus Maintain acceptable levels of occupancy (minimum 98%). Maintain positive relationships with the community owner/s and its residents. Review rental applications for approval. Operational Excellence Complete move-out paperwork according to governing regulations. Perform unit move-out, annual, and housekeeping inspections in a timely manner. Audit all resident files and ensure they are complete and correct prior to forwarding to supervisor for review/approval. Timely completion of reports required by government agencies, administrators, or the Company. Responsible for maintaining the community to Company standards. Perform other related duties as assigned. What We're Looking For Experience: 1+ year previous experience as a residential property manager, with HUD / Section 8 experience a big plus. Or, 3 years previous experience in a general manager position, or similar, with exceptional people leadership and process management experience. Education: High School diploma, or associate's degree is a big plus. Having COS, LIHTC, HCCP, AHM is a plus - you will be given the chance to obtain as an associate. Dependability: Reliable transportation and a strong work ethic . Resident Focus: A commitment to providing exceptional service to our valued residents . Operational Excellence: You're deadline driven, with a keen eye for detail, compliance, and quality. Technically Savvy: You have great computer skills and fluent with Microsoft Office suite, and experience with Yardi is a big plus. Wallick's Mission & Values At Wallick Communities, we believe in opening doors to homes, opportunity, and hope for our residents , associates, and community . Our core values guide everything we do: Care - We show compassion and respect for everyone. Character - We do the right thing, even when no one is looking. Collaboration - We work together to achieve more. At Wallick, we celebrate Diversity, Equity, Inclusion + Belonging (DEI+B) in our workplace and communities , creating an environment where associates feel welcome, respected, and empowered to bring their authentic selves to the great work they do every day . For nearly 60 years, it has been at the core of our organization's culture that all Wallick associates come to a safe and inclusive place to wor k. Wallick does not discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. Join Us and Become an Employee-Owner! If you're ready to make a difference in people's lives while securing your financial future, apply today! Employment is contingent upon passing a pre-employment background check and drug screen.
07/27/2026
Full time
Description Senior Community Manager Job Type : Full-Time - Monday - Friday, 8:00am - 4:30pm Make a Difference-And Own Your Future Join Wallick Communities , a 100% employee-owned company with over 55 years of experience in providing affordable housing and assisted living for families and seniors across the Midwest. With 1,000+ associates and a mission to open doors to homes, opportunity, and hope, we take pride in fostering a supportive and collaborative work environment where every employee-owner plays a vital role. A Career with Wallick Means Creating Homes for People Who Need It Most : Providing new beginnings for residents seeking affordable, safe and high-quality housing where they can thrive. Pay-on-Demand: access your money as you earn it. Exceptional Benefit Package : Health, dental, vision insurance effective within 2 weeks of starting your new job . Other benefits like gym membership reimbursement, paid parental leave, 401K, and more! Work-Life Balance: Paid time off, including paid parental leave. Learning & Support : A supportive team that cares about your continued development, well-being and professional growth. Resident Stories That Stay with You : From Henry, who moved into his first-ever home, to Jaci, whose stay at a Wallick community allowed her to achieve homeownership and graduate college, kickstarting her dream career. Career Growth: Tuition reimbursement, t raining, professional development, and advancement opportunities within a company that invests in its people. Employee Owned, Resident Focused : As a 100% employee-owned company, your daily work (supporting our residents) also contributes to your financial future by sharing in our profitability. What You'll Do People Leadership Lead a team of leasing agents and maintenance professionals, ensuring a highly engaged team provides a great experience for our residents. Process community staff payroll. Financial Responsibility Ensure collections of all monies due to the community (i.e., rent) are received and deposited. Process community invoices for payment. Purchase and maintain adequate supplies for the community. Community and Resident Focus Maintain acceptable levels of occupancy (minimum 98%). Maintain positive relationships with the community owner/s and its residents. Review rental applications for approval. Operational Excellence Complete move-out paperwork according to governing regulations. Perform unit move-out, annual, and housekeeping inspections in a timely manner. Audit all resident files and ensure they are complete and correct prior to forwarding to supervisor for review/approval. Timely completion of reports required by government agencies, administrators, or the Company. Responsible for maintaining the community to Company standards. Perform other related duties as assigned. What We're Looking For Experience: 1+ year previous experience as a residential property manager, with HUD / Section 8 experience a big plus. Or, 3 years previous experience in a general manager position, or similar, with exceptional people leadership and process management experience. Education: High School diploma, or associate's degree is a big plus. Having COS, LIHTC, HCCP, AHM is a plus - you will be given the chance to obtain as an associate. Dependability: Reliable transportation and a strong work ethic . Resident Focus: A commitment to providing exceptional service to our valued residents . Operational Excellence: You're deadline driven, with a keen eye for detail, compliance, and quality. Technically Savvy: You have great computer skills and fluent with Microsoft Office suite, and experience with Yardi is a big plus. Wallick's Mission & Values At Wallick Communities, we believe in opening doors to homes, opportunity, and hope for our residents , associates, and community . Our core values guide everything we do: Care - We show compassion and respect for everyone. Character - We do the right thing, even when no one is looking. Collaboration - We work together to achieve more. At Wallick, we celebrate Diversity, Equity, Inclusion + Belonging (DEI+B) in our workplace and communities , creating an environment where associates feel welcome, respected, and empowered to bring their authentic selves to the great work they do every day . For nearly 60 years, it has been at the core of our organization's culture that all Wallick associates come to a safe and inclusive place to wor k. Wallick does not discriminate based on race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. Join Us and Become an Employee-Owner! If you're ready to make a difference in people's lives while securing your financial future, apply today! Employment is contingent upon passing a pre-employment background check and drug screen.
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).
Hyde Park, Massachusetts, United States Position Title: Upper Elementary Math Teacher, Long-Term Substitute () Match Charter Public School is a free, high-performing charter public school in Boston. We are a PreK-12 school serving up to 1,250 students. Our mission is to prepare studentsparticularly multilingual learners and those who would be the first in their families to earn a college degreefor success in college and careers in order to achieve economic security and mobility. Students gain acceptance to our schools via an annual blind public lottery open to all Boston residents. Our families bring amazing racial and cultural diversity to the school communitythey represent over 20 different countries of origin with over 20 different languages spoken at home. 98% of our students are people of color. Our students bring a diversity of needs to our school, and we are prepared to serve them: 23% of our students qualify for special education services; 19% of our student body are English Language Learners. Matchs core values are Equity, Freedom, Teamwork, Innovation, and Accountability. We are working to reframe our organizational processes and policies to be truly anti-racist. At Match, we believe that three aspects of our work and organizationa staff that is diverse by race and other factors, a professional environment that is inclusive of all perspectives, and a curriculum in our PreK-12 school that is culturally competentare vital to our goals and mission. Position : Upper Elementary Math Teacher (Long-Term Substitute) Location : Boston, MA (Hyde Park Campus) Start date : August, 2026 OVERVIEW OF ROLE Our elementary school (Match Community Day) has a long-term substitute opening for an upper elementary Math teacher starting in August, 2026. There is the potential for continued employment to follow, but it is not guaranteed. Lead Teachers are fully responsible for the growth and achievement of the students in their class. There are 24 students per class. The position is based at our elementary school campus on 100 Poydras St. in Hyde Park. Working hours and Monday-Friday, 7am-2:45pm. Professional development on Wednesdays runs until 4:30pm. The salary range for teachers new to Match is $61,812-98,899 and is determined by the candidates prior years of full-time teaching experience. Match offers a comprehensive benefits package that includes 90% coverage of employee health insurance costs and up to $150/month in loan repayment assistance. We are only able to consider applicants who have current US work authorization. PM20 OVERVIEW OF ROLE AND RESPONSIBILITIES This position includes a number of essential responsibilities, including (but not limited to): Teach upper elementary Math lessons; Uphold high academic and behavioral expectations for students, and provide lots of support for getting students there; Participate actively in Matchs coaching and professional development programming; Assist with school programming as needed during non-instructional time; and Serve as a positive and collaborative member of the Match Charter Public School community QUALIFICATIONS Research has shown that people of color and women are less likely to apply for jobs if they dont believe they meet every one of the qualifications described in a job description. Our highest priority is finding the best candidate for the job. We encourage you to apply, even if you don't believe you meet every one of our qualifications described or you have a less traditional background. We are looking for applicants who: have a Bachelors degree; have at least two years of full-time experience as classroom or special education teacher, preferably in an urban education setting; meet teacher certification requirements set by the Massachusetts Department of Elementary and Secondary Education, or can meet the certification requirements within a year of date of hire; believe that all students can and will succeed; desire to continually improve their practice as a teacher by taking and implementing feedback; and have a proven record of student growth and achievement. ABOUT MATCH EDUCATION Match Education ( ) is the shared brand name of Match Charter Public School and The Match School Foundation, Inc. Match Education is an engine of discovery and applied innovation in education. We operate a high-performing urban charter public school and a unique associate teacher program that trains teachers for high-poverty schools. Out of this applied work, we refine, validate empirically, and eventually disseminate new ideas and practices on core questions in education reform. The Match Foundation, Inc. and Match Charter Public School prohibit discrimination on the basis of actual or perceived race, color, sex, gender identity, sexual orientation, age, national origin, physical or mental disability, religion, veteran status, and any other class of individuals protected from discrimination under state or federal law in any aspect of the access to, admission, or treatment of students in its programs and activities, or in employment and application for employment. PI0c59c5-
07/27/2026
Full time
Hyde Park, Massachusetts, United States Position Title: Upper Elementary Math Teacher, Long-Term Substitute () Match Charter Public School is a free, high-performing charter public school in Boston. We are a PreK-12 school serving up to 1,250 students. Our mission is to prepare studentsparticularly multilingual learners and those who would be the first in their families to earn a college degreefor success in college and careers in order to achieve economic security and mobility. Students gain acceptance to our schools via an annual blind public lottery open to all Boston residents. Our families bring amazing racial and cultural diversity to the school communitythey represent over 20 different countries of origin with over 20 different languages spoken at home. 98% of our students are people of color. Our students bring a diversity of needs to our school, and we are prepared to serve them: 23% of our students qualify for special education services; 19% of our student body are English Language Learners. Matchs core values are Equity, Freedom, Teamwork, Innovation, and Accountability. We are working to reframe our organizational processes and policies to be truly anti-racist. At Match, we believe that three aspects of our work and organizationa staff that is diverse by race and other factors, a professional environment that is inclusive of all perspectives, and a curriculum in our PreK-12 school that is culturally competentare vital to our goals and mission. Position : Upper Elementary Math Teacher (Long-Term Substitute) Location : Boston, MA (Hyde Park Campus) Start date : August, 2026 OVERVIEW OF ROLE Our elementary school (Match Community Day) has a long-term substitute opening for an upper elementary Math teacher starting in August, 2026. There is the potential for continued employment to follow, but it is not guaranteed. Lead Teachers are fully responsible for the growth and achievement of the students in their class. There are 24 students per class. The position is based at our elementary school campus on 100 Poydras St. in Hyde Park. Working hours and Monday-Friday, 7am-2:45pm. Professional development on Wednesdays runs until 4:30pm. The salary range for teachers new to Match is $61,812-98,899 and is determined by the candidates prior years of full-time teaching experience. Match offers a comprehensive benefits package that includes 90% coverage of employee health insurance costs and up to $150/month in loan repayment assistance. We are only able to consider applicants who have current US work authorization. PM20 OVERVIEW OF ROLE AND RESPONSIBILITIES This position includes a number of essential responsibilities, including (but not limited to): Teach upper elementary Math lessons; Uphold high academic and behavioral expectations for students, and provide lots of support for getting students there; Participate actively in Matchs coaching and professional development programming; Assist with school programming as needed during non-instructional time; and Serve as a positive and collaborative member of the Match Charter Public School community QUALIFICATIONS Research has shown that people of color and women are less likely to apply for jobs if they dont believe they meet every one of the qualifications described in a job description. Our highest priority is finding the best candidate for the job. We encourage you to apply, even if you don't believe you meet every one of our qualifications described or you have a less traditional background. We are looking for applicants who: have a Bachelors degree; have at least two years of full-time experience as classroom or special education teacher, preferably in an urban education setting; meet teacher certification requirements set by the Massachusetts Department of Elementary and Secondary Education, or can meet the certification requirements within a year of date of hire; believe that all students can and will succeed; desire to continually improve their practice as a teacher by taking and implementing feedback; and have a proven record of student growth and achievement. ABOUT MATCH EDUCATION Match Education ( ) is the shared brand name of Match Charter Public School and The Match School Foundation, Inc. Match Education is an engine of discovery and applied innovation in education. We operate a high-performing urban charter public school and a unique associate teacher program that trains teachers for high-poverty schools. Out of this applied work, we refine, validate empirically, and eventually disseminate new ideas and practices on core questions in education reform. The Match Foundation, Inc. and Match Charter Public School prohibit discrimination on the basis of actual or perceived race, color, sex, gender identity, sexual orientation, age, national origin, physical or mental disability, religion, veteran status, and any other class of individuals protected from discrimination under state or federal law in any aspect of the access to, admission, or treatment of students in its programs and activities, or in employment and application for employment. PI0c59c5-
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Summary The Lead Salesforce Architect serves as the senior technology leader responsible for defining and governing enterprise Salesforce architecture across Sales Cloud, Service Cloud, Experience Cloud, Agentforce, Data Cloud, CRM integrations, AI-enabled solutions, and related enterprise platforms. This role partners with business leaders, product owners, enterprise architects, engineering teams, and external partners to design scalable, secure, and compliant solutions that support McKesson's strategic business objectives. The architect drives architecture governance, establishes standards, mentors solution architects, and ensures alignment with enterprise architecture principles. This position operates with significant autonomy and provides leadership across multiple programs and portfolios. Key Responsibilities Architecture Strategy & Leadership Define enterprise Salesforce architecture strategy and target-state roadmaps. Lead architecture reviews and approve solution designs for high-impact initiatives. Establish architecture principles, standards, patterns, and governance processes. Drive platform modernization and technical debt reduction initiatives. Collaborate with Enterprise Architecture teams to align Salesforce strategy with long-term enterprise goals. Salesforce Platform Ownership Own end-to-end architecture for Salesforce Sales Cloud, Service Cloud, Experience Cloud, Agentforce, Data Cloud, Marketing Cloud, and custom applications. Define reusable design patterns and integration standards. Guide solution teams on platform scalability, data architecture, and security requirements. Review application performance and recommend optimization opportunities. Integration & Enterprise Solutions Architect integrations between Salesforce and enterprise systems, including SAP, MDM, contact center platforms, Azure services, APIs, middleware, data platforms, and analytics solutions. Define event-driven, API-first, and microservices-based architectures. AI, Data & Agentforce Enablement Drive adoption of Salesforce Agentforce and AI-powered capabilities. Design secure AI architectures leveraging enterprise data platforms. Lead evaluation of emerging Salesforce AI and Data Cloud capabilities. Define governance for AI solutions, security, compliance, and responsible AI practices. Governance & Compliance Establish architecture review boards and decision frameworks. Ensure compliance with security, privacy, audit, and regulatory requirements. Define non-functional requirements including resiliency, observability, scalability, and performance. Technical Leadership Mentor architects, technical leads, and engineering teams. Provide executive-level presentations and architecture recommendations. Influence technology direction across multiple business units. Lead architecture assessments, vendor evaluations, and technology selection efforts. Required Qualifications Education Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. Master's degree preferred. Experience 10+ years of enterprise technology architecture experience. 7+ years of Salesforce architecture and delivery experience. Experience leading large-scale enterprise transformations. Experience working within highly regulated industries. Proven leadership across cross-functional teams and complex programs. Salesforce Expertise Sales Cloud, Service Cloud, Experience Cloud, Data Cloud, and Agentforce. Platform development, Flow, automation, and enterprise integration architecture. Security and identity management. Architecture Skills Enterprise and solution architecture. API management and event-driven architecture. Data, cloud, and application security architecture. DevOps, CI/CD, architecture governance, and technology roadmapping. Nice-to-Have Qualifications Salesforce Certified Technical Architect (CTA), Application Architect, or System Architect certifications. Salesforce Data Cloud Consultant, Salesforce AI Associate, or Agentforce certifications. TOGAF, Azure Solutions Architect Expert, AWS Solutions Architect, or ITIL certification. Experience with healthcare, pharma, distribution, or supply chain domains. Experience with contact center modernization and AI platforms. Experience with Google CCAI, Five9, Verint, SAP, MuleSoft, and Azure Integration Services. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $156,400 - $260,600 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
07/27/2026
Full time
McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you. Position Summary The Lead Salesforce Architect serves as the senior technology leader responsible for defining and governing enterprise Salesforce architecture across Sales Cloud, Service Cloud, Experience Cloud, Agentforce, Data Cloud, CRM integrations, AI-enabled solutions, and related enterprise platforms. This role partners with business leaders, product owners, enterprise architects, engineering teams, and external partners to design scalable, secure, and compliant solutions that support McKesson's strategic business objectives. The architect drives architecture governance, establishes standards, mentors solution architects, and ensures alignment with enterprise architecture principles. This position operates with significant autonomy and provides leadership across multiple programs and portfolios. Key Responsibilities Architecture Strategy & Leadership Define enterprise Salesforce architecture strategy and target-state roadmaps. Lead architecture reviews and approve solution designs for high-impact initiatives. Establish architecture principles, standards, patterns, and governance processes. Drive platform modernization and technical debt reduction initiatives. Collaborate with Enterprise Architecture teams to align Salesforce strategy with long-term enterprise goals. Salesforce Platform Ownership Own end-to-end architecture for Salesforce Sales Cloud, Service Cloud, Experience Cloud, Agentforce, Data Cloud, Marketing Cloud, and custom applications. Define reusable design patterns and integration standards. Guide solution teams on platform scalability, data architecture, and security requirements. Review application performance and recommend optimization opportunities. Integration & Enterprise Solutions Architect integrations between Salesforce and enterprise systems, including SAP, MDM, contact center platforms, Azure services, APIs, middleware, data platforms, and analytics solutions. Define event-driven, API-first, and microservices-based architectures. AI, Data & Agentforce Enablement Drive adoption of Salesforce Agentforce and AI-powered capabilities. Design secure AI architectures leveraging enterprise data platforms. Lead evaluation of emerging Salesforce AI and Data Cloud capabilities. Define governance for AI solutions, security, compliance, and responsible AI practices. Governance & Compliance Establish architecture review boards and decision frameworks. Ensure compliance with security, privacy, audit, and regulatory requirements. Define non-functional requirements including resiliency, observability, scalability, and performance. Technical Leadership Mentor architects, technical leads, and engineering teams. Provide executive-level presentations and architecture recommendations. Influence technology direction across multiple business units. Lead architecture assessments, vendor evaluations, and technology selection efforts. Required Qualifications Education Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. Master's degree preferred. Experience 10+ years of enterprise technology architecture experience. 7+ years of Salesforce architecture and delivery experience. Experience leading large-scale enterprise transformations. Experience working within highly regulated industries. Proven leadership across cross-functional teams and complex programs. Salesforce Expertise Sales Cloud, Service Cloud, Experience Cloud, Data Cloud, and Agentforce. Platform development, Flow, automation, and enterprise integration architecture. Security and identity management. Architecture Skills Enterprise and solution architecture. API management and event-driven architecture. Data, cloud, and application security architecture. DevOps, CI/CD, architecture governance, and technology roadmapping. Nice-to-Have Qualifications Salesforce Certified Technical Architect (CTA), Application Architect, or System Architect certifications. Salesforce Data Cloud Consultant, Salesforce AI Associate, or Agentforce certifications. TOGAF, Azure Solutions Architect Expert, AWS Solutions Architect, or ITIL certification. Experience with healthcare, pharma, distribution, or supply chain domains. Experience with contact center modernization and AI platforms. Experience with Google CCAI, Five9, Verint, SAP, MuleSoft, and Azure Integration Services. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $156,400 - $260,600 McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind: McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application. McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates. McKesson job postings are posted on our career site: . McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) or (Canada) . Resumes or CVs submitted to this email box will not be accepted. Join us at McKesson!
Senior Lead Machine Learning Engineer 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 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 TensorFlow 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 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 Plano, TX: $209,000 - $238,500 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
Senior Lead Machine Learning Engineer 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 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 TensorFlow 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 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 Plano, TX: $209,000 - $238,500 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).
Senior Manager, Machine Learning Engineering 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 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 At least 4 years of people management experience Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 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 ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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. Mgr, Machine Learning Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, Machine Learning Engineering 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
Senior Manager, Machine Learning Engineering 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 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 At least 4 years of people management experience Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing performant, resilient, and maintainable code 3+ years of experience with data gathering and preparation for ML models Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform 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 ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents 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. Mgr, Machine Learning Engineering New York, NY: $250,800 - $286,200 for Sr. Mgr, Machine Learning Engineering 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, Systems Engineering - Space Intelligence Analyst (Active TS/SCI w/ CI Poly Required) Job Code: 38747 Job Location: Springfield, Virginia (100% On-site) Job Schedule: 5/8 Monday-Friday Job Description: L3Harris Technologies currently has an opening for a Specialist, Systems Engineer - Space Intelligence Analyst for an important national security program. The successful candidate will join a high-performing team of Government and Contractor professionals supporting real-time space operations. This role is responsible for monitoring, analyzing, and assessing space-related activities to provide mission status updates, anomaly investigations, recommended courses of action (COAs), and decision support information to senior leaders in support of the Space Warfighting Mission. The Space Intelligence Analyst will play a critical role in maintaining the health and safety of both ground and space assets, as well as associated infrastructure nodes. The ideal candidate will have direct experience in space operations, familiarity with COA and Tactics, Techniques, and Procedures (TTP) development, and a solid understanding of the Space Warfighting construct. This position requires the ability to operate effectively in a dynamic, fast-paced environment with frequently changing priorities and tasking. The successful candidate will be expected to respond quickly, maintain a high degree of situational awareness, and collaborate closely with mission partners to ensure timely and accurate intelligence support. Essential Functions: • Work full time at a government customer site, supporting real-time space operations and intelligence integration. • Maintain situational of space threats, high-interest events, and adversary capabilities impacting U.S. space assets. • Conduct research and analysis on counterspace threats and associated vulnerabilities to mission systems. • Enter and manage data in intelligence tools and internal-use products, including adversary Order of Battle (OOB), force disposition, and asset tracking. • Generate and deliver a daily intelligence and Operations Summary briefing that includes situational updates, national security priorities, counterspace activity, foreign launch analysis, adversary weapons characterization, and geospatial intelligence insights. • Develop weekly intelligence summaries and activity reports to support leadership situational awareness and decision-making. • Manage the Operations Highlight process to support daily briefings, monthly all-hands meetings, and Quarterly Program Reviews (QPRs). • Log daily shift activities and record significant events and anomalies in accordance with operational standards. • Generate, present, and disseminate intelligence briefings and mission products to senior leadership, enterprise stakeholders, and mission partners. • Support intelligence collection and analysis requests through systems such as the Space Collection Working Group, SOCC Sensor Collection Request, National MASINT Requirements System (NMRS), COLISEUM, or other validated request mechanisms. • Participate in Joint Targeting Working Groups and Coordination Boards as needed to ensure alignment with national and coalition intelligence priorities. • Assist in the onboarding and operational integration of new and enhanced tools, databases, and mission applications. • Perform additional duties and responsibilities as assigned in support of evolving mission requirements. Qualifications: • Bachelor's Degree and minimum of 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. • Active Top Secret/SCI with CI Poly clearance required. • 2+ years' experience working with Threat Intelligence Platforms (TIPs), with a preference for all-source analysis involving SIGINT, GEOINT, MASINT, OSINT, and HUMINT fusion. Preferred Additional Skills: • Demonstrated experience collaborating with multiple internal and external stakeholders to gather, vet, enrich, and disseminate intelligence through joint reports and coordinated information sharing. • Strong understanding of space and cyber threat vectors, including adversary vulnerabilities, attack methodologies, and counterspace capabilities. • Ability to produce clear, concise briefings, presentations, and written reports that convey complex intelligence topics - such as threat actor profiles, trend assessments, indicator bulletins, and defensive strategy recommendations - to technical and non-technical audiences. • Proven ability to adopt an adversarial mindset when analyzing targeted infrastructure, enabling predict of likely Courses of Actions (COAs) in support of tactical and operational planning. • Proficient in Microsoft Office applications, including Word, Excel, and PowerPoint, for product generation and data organization. • Strong communication, interpersonal, and presentation skills, with the ability to convey technical information clearly and effectively to leadership and mission stakeholders. • Familiarity with DoD and NRO spacecraft, mission In compliance with pay transparency requirements, the salary range for this role in Virginia - Greater Washington, D.C. Area $92,500 - $171,500.00. 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: Specialist, Systems Engineering - Space Intelligence Analyst (Active TS/SCI w/ CI Poly Required) Job Code: 38747 Job Location: Springfield, Virginia (100% On-site) Job Schedule: 5/8 Monday-Friday Job Description: L3Harris Technologies currently has an opening for a Specialist, Systems Engineer - Space Intelligence Analyst for an important national security program. The successful candidate will join a high-performing team of Government and Contractor professionals supporting real-time space operations. This role is responsible for monitoring, analyzing, and assessing space-related activities to provide mission status updates, anomaly investigations, recommended courses of action (COAs), and decision support information to senior leaders in support of the Space Warfighting Mission. The Space Intelligence Analyst will play a critical role in maintaining the health and safety of both ground and space assets, as well as associated infrastructure nodes. The ideal candidate will have direct experience in space operations, familiarity with COA and Tactics, Techniques, and Procedures (TTP) development, and a solid understanding of the Space Warfighting construct. This position requires the ability to operate effectively in a dynamic, fast-paced environment with frequently changing priorities and tasking. The successful candidate will be expected to respond quickly, maintain a high degree of situational awareness, and collaborate closely with mission partners to ensure timely and accurate intelligence support. Essential Functions: • Work full time at a government customer site, supporting real-time space operations and intelligence integration. • Maintain situational of space threats, high-interest events, and adversary capabilities impacting U.S. space assets. • Conduct research and analysis on counterspace threats and associated vulnerabilities to mission systems. • Enter and manage data in intelligence tools and internal-use products, including adversary Order of Battle (OOB), force disposition, and asset tracking. • Generate and deliver a daily intelligence and Operations Summary briefing that includes situational updates, national security priorities, counterspace activity, foreign launch analysis, adversary weapons characterization, and geospatial intelligence insights. • Develop weekly intelligence summaries and activity reports to support leadership situational awareness and decision-making. • Manage the Operations Highlight process to support daily briefings, monthly all-hands meetings, and Quarterly Program Reviews (QPRs). • Log daily shift activities and record significant events and anomalies in accordance with operational standards. • Generate, present, and disseminate intelligence briefings and mission products to senior leadership, enterprise stakeholders, and mission partners. • Support intelligence collection and analysis requests through systems such as the Space Collection Working Group, SOCC Sensor Collection Request, National MASINT Requirements System (NMRS), COLISEUM, or other validated request mechanisms. • Participate in Joint Targeting Working Groups and Coordination Boards as needed to ensure alignment with national and coalition intelligence priorities. • Assist in the onboarding and operational integration of new and enhanced tools, databases, and mission applications. • Perform additional duties and responsibilities as assigned in support of evolving mission requirements. Qualifications: • Bachelor's Degree and minimum of 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. • Active Top Secret/SCI with CI Poly clearance required. • 2+ years' experience working with Threat Intelligence Platforms (TIPs), with a preference for all-source analysis involving SIGINT, GEOINT, MASINT, OSINT, and HUMINT fusion. Preferred Additional Skills: • Demonstrated experience collaborating with multiple internal and external stakeholders to gather, vet, enrich, and disseminate intelligence through joint reports and coordinated information sharing. • Strong understanding of space and cyber threat vectors, including adversary vulnerabilities, attack methodologies, and counterspace capabilities. • Ability to produce clear, concise briefings, presentations, and written reports that convey complex intelligence topics - such as threat actor profiles, trend assessments, indicator bulletins, and defensive strategy recommendations - to technical and non-technical audiences. • Proven ability to adopt an adversarial mindset when analyzing targeted infrastructure, enabling predict of likely Courses of Actions (COAs) in support of tactical and operational planning. • Proficient in Microsoft Office applications, including Word, Excel, and PowerPoint, for product generation and data organization. • Strong communication, interpersonal, and presentation skills, with the ability to convey technical information clearly and effectively to leadership and mission stakeholders. • Familiarity with DoD and NRO spacecraft, mission In compliance with pay transparency requirements, the salary range for this role in Virginia - Greater Washington, D.C. Area $92,500 - $171,500.00. 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.
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).
Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) 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: Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products, serving as a technical mentor to the team on these core technologies Design, build, and deliver AI-powered products and components that solve real-world business problems, leveraging expertise in model experimentation, LLM inference, similarity search, and agentic AI within a collaborative Product and Data Science environment Collaborate with a cross-functional team of engineers, data scientists, and designers to develop and scale AI-powered products that enable optimized associate performance and deliver world-class customer value 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 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 Leverage a broad stack of Open Source and SaaS AI technologies and 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 Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field 6+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) Experience staying abreast of latest ML research with an intuitive ability to understand scientific publications and judiciously apply novel techniques in production Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer 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
Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences) 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: Lead dedicated pods of software, data and machine learning engineers in building AI/ML capabilities for Credit and Financial Risk Management products, serving as a technical mentor to the team on these core technologies Design, build, and deliver AI-powered products and components that solve real-world business problems, leveraging expertise in model experimentation, LLM inference, similarity search, and agentic AI within a collaborative Product and Data Science environment Collaborate with a cross-functional team of engineers, data scientists, and designers to develop and scale AI-powered products that enable optimized associate performance and deliver world-class customer value 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 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 Leverage a broad stack of Open Source and SaaS AI technologies and 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 Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a similar field 6+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) Experience staying abreast of latest ML research with an intuitive ability to understand scientific publications and judiciously apply novel techniques in production Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance 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: $229,900 - $262,400 for Sr. Lead Machine Learning Engineer 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).
Senior Lead Machine Learning Engineer 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 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 TensorFlow 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 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 Plano, TX: $209,000 - $238,500 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
Senior Lead Machine Learning Engineer 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 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 TensorFlow 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 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 Plano, TX: $209,000 - $238,500 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).
About Company: Denali is the leading organic recycling company on a mission to unlock the power of unused food and organics, transforming them into resources to feed, fuel, and replenish the earth. Our work is essential to keeping water clean, reducing the need for new landfill capacity, building soil fertility, helping farmers build resilience, and reducing society's reliance on fossil fuels. Denali provides meaningful and measurable change for any business that handles food, creating value with our scalable solutions across the nation. Our services and products touch thousands of acres and millions of tons of organic material, and nearly every person who purchases and consumes food in the U.S. Apply to join our team today! Summary The Lead Support serves as the Area Manager's primary operational partner and second-in-charge, providing day-to-day frontline support to drivers and ensuring seamless execution of service operations. This role plays a critical part in resolving service issues, coordinating route coverage, training and retraining drivers, and managing service cases to ensure high levels of customer satisfaction, safety, and efficiency. The Lead Support is expected to lead by example in the field, reinforce company standards, and act as a key communication link between drivers, dispatch, and the Area Manager. Essential Functions Act as the Area Manager's , supporting daily operations and stepping in to manage activities in the manager's absence. Provide direct support to CDL drivers, including route assistance, troubleshooting issues, and ensuring service completion. Resolve service cases promptly, including customer complaints, missed service, and operational disruptions. Schedule, track, and close service cases, ensuring accurate documentation and timely resolution. Train and retrain drivers on safety procedures, equipment uses, customer service expectations, and company standards. Assist with onboarding and field training for new drivers Support route coverage and planning Work closely with the Logistics Manager and the Area Manager to optimize routing and improve efficiency. Monitor daily operations to ensure safety, compliance, and productivity standards are met. Reinforce company policies and provide coaching and feedback to drivers to improve performance. Assist with investigation of service failures and recommend corrective actions. Support equipment management, including identifying maintenance needs and coordinating repairs, PM services and annual inspections Maintain clear and effective communication between drivers, dispatch, and management. Promote a culture of safety, accountability, teamwork, and customer focus. Competencies Strong problem-solving and decision-making skills in fast-paced environments Excellent communication and interpersonal skills Ability to train, coach, and motivate team members Strong organizational and time management skills Customer-focused mindset with a sense of urgency Ability to multitask and prioritize competing demands Working knowledge of routing systems, CRM tools, and transportation software Manger level Proficiency in Microsoft Office products, especially Excel and general computer applications Strong attention to detail and follow-through Work Environment While performing the duties of this job, the employee will frequently work both in office and field environments. This includes exposure to outdoor weather conditions, odors, and operational sites. Physical Demands The employee is regularly required to stand, walk, talk, and hear. The role requires frequent use of hands and arms, occasional climbing, stooping, kneeling, and lifting. Specific vision abilities include close vision, distance vision, and the ability to adjust focus. Travel Travel is required and may be frequent depending on operational needs. Key Role Expectations Act as a field leader and problem solver Be the go-to person for drivers Maintain ownership of service execution and issue resolution Support and reinforce the Area Manager's direction and priorities Preferred education and experience: Associates degree or higher or demonstrated competency. Must have a valid driver's license. 2-3 years of experience, preferred. Class A CDL is a plus. Truck dispatching experience, preferred. Must be able to read, write and follow verbal and written instructions in English. What we offer: Mission-driven work in a rapidly growing sustainability company Opportunities for professional growth and learning Collaborative, values-driven team culture Competitive salary and benefits Why You'll Love Working at Denali- Benefits & Perks At Denali, the work we do begins and ends with you - our employees. That's why we strive to ELEVATE you to be your best, both at work and at home. Our benefits aren't just about compensation; they're part of a broader commitment to helping you thrive in all aspects of life. Here's how we live out our values every day: E - Employee: At Denali, we believe in offering competitive compensation packages that include not only great benefits but also a strong focus on safety, flexibility, and rewards and recognition. You are the backbone of our success, and we make sure you're valued every step of the way. L - Learning: We're committed to your growth and development. Our Ascend Employee Development Program and access to over 6,000 professional courses via our Learning Management System empower you to climb higher in your career - all at no cost to you. E - Environment: Our employees deserve a clean Earth. We're dedicated to doing our part in keeping waste out of landfills, so you can be proud of the work we do together to make a positive environmental impact. V - Valued: At Denali, we take pride in creating a culture of care. With resources that support your well-being, volunteerism opportunities, and a commitment to safe working conditions and inclusivity, you'll always feel like you belong here. A - Advancement: We believe in succession planning and providing opportunities for advancement. We want you to grow, and we'll be right there with you, supporting your career every step of the way. T - Together: We're stronger when we work together. At Denali, you'll have opportunities to give and receive support not just within the workplace, but within our broader community. Our team is united, and we celebrate the value of working and succeeding as one. E - Employees: You are the heart of Denali. We believe our employees deserve the very best. This is why we offer an array of benefits that support your overall well-being, from health coverage to work-life balance, because when you succeed, we all succeed. Our Benefits Package Includes: Comprehensive Medical: Our self-insured medical plans are designed with your health in mind, offering competitive options including copay and HSA plans so you can choose what best suit your health needs. Dental & Vision: Keep your smile bright and your vision clear with full coverage for you and your family. Generous 401(k) Match: We're here for your long-term future - we offer a generous 401(k) match of up to 4%, helping you build the foundation for tomorrow. Company-Paid Disability & Life Insurance: We've got you covered with company-paid Long-Term and Short-Term Disability, as well as AD&D and Life Insurance, giving you peace of mind knowing you're protected. Voluntary Life for Employees & Family: Customize additional coverage for you and your loved ones with our voluntary life insurance options. Health Savings Plan: Save on medical expenses with a Health Savings Plan designed for your needs. Paid Time Off (PTO) & Sick Time: We value your well-being. Take time for yourself, your family, and personal matters with generous PTO and Sick Time, including family leave. 9 Paid Holidays: Enjoy a well-rounded work-life balance with 9 paid holidays throughout the year. Paid Weekly: We believe in rewarding hard work consistently, which is why we offer weekly pay so you can stay on top of your financial goals. Professional Development: Ascend in your career with free access to thousands of courses that allow you to grow and develop professionally. Employee Assistance Program: Life can be challenging at times, and we're here to support you with our confidential Employee Assistance Program that offers counseling and resources for a variety of personal and professional needs. Wellness Program: At Denali, we believe that well-being goes beyond health coverage. Our Wellness Program offers resources to keep you mentally, physically, and emotionally balanced as you climb higher in both life and career. We want you to feel valued, supported, and equipped for success - because when you thrive, we all thrive. So, come for benefits. Stay for the culture. We can't wait to see you reach new heights with us at Denali. Apply to join our team today! Equal Employment Opportunity Policy: It is the policy of the Company to provide equal employment opportunities for all employees. Accordingly . click apply for full job details
07/27/2026
Full time
About Company: Denali is the leading organic recycling company on a mission to unlock the power of unused food and organics, transforming them into resources to feed, fuel, and replenish the earth. Our work is essential to keeping water clean, reducing the need for new landfill capacity, building soil fertility, helping farmers build resilience, and reducing society's reliance on fossil fuels. Denali provides meaningful and measurable change for any business that handles food, creating value with our scalable solutions across the nation. Our services and products touch thousands of acres and millions of tons of organic material, and nearly every person who purchases and consumes food in the U.S. Apply to join our team today! Summary The Lead Support serves as the Area Manager's primary operational partner and second-in-charge, providing day-to-day frontline support to drivers and ensuring seamless execution of service operations. This role plays a critical part in resolving service issues, coordinating route coverage, training and retraining drivers, and managing service cases to ensure high levels of customer satisfaction, safety, and efficiency. The Lead Support is expected to lead by example in the field, reinforce company standards, and act as a key communication link between drivers, dispatch, and the Area Manager. Essential Functions Act as the Area Manager's , supporting daily operations and stepping in to manage activities in the manager's absence. Provide direct support to CDL drivers, including route assistance, troubleshooting issues, and ensuring service completion. Resolve service cases promptly, including customer complaints, missed service, and operational disruptions. Schedule, track, and close service cases, ensuring accurate documentation and timely resolution. Train and retrain drivers on safety procedures, equipment uses, customer service expectations, and company standards. Assist with onboarding and field training for new drivers Support route coverage and planning Work closely with the Logistics Manager and the Area Manager to optimize routing and improve efficiency. Monitor daily operations to ensure safety, compliance, and productivity standards are met. Reinforce company policies and provide coaching and feedback to drivers to improve performance. Assist with investigation of service failures and recommend corrective actions. Support equipment management, including identifying maintenance needs and coordinating repairs, PM services and annual inspections Maintain clear and effective communication between drivers, dispatch, and management. Promote a culture of safety, accountability, teamwork, and customer focus. Competencies Strong problem-solving and decision-making skills in fast-paced environments Excellent communication and interpersonal skills Ability to train, coach, and motivate team members Strong organizational and time management skills Customer-focused mindset with a sense of urgency Ability to multitask and prioritize competing demands Working knowledge of routing systems, CRM tools, and transportation software Manger level Proficiency in Microsoft Office products, especially Excel and general computer applications Strong attention to detail and follow-through Work Environment While performing the duties of this job, the employee will frequently work both in office and field environments. This includes exposure to outdoor weather conditions, odors, and operational sites. Physical Demands The employee is regularly required to stand, walk, talk, and hear. The role requires frequent use of hands and arms, occasional climbing, stooping, kneeling, and lifting. Specific vision abilities include close vision, distance vision, and the ability to adjust focus. Travel Travel is required and may be frequent depending on operational needs. Key Role Expectations Act as a field leader and problem solver Be the go-to person for drivers Maintain ownership of service execution and issue resolution Support and reinforce the Area Manager's direction and priorities Preferred education and experience: Associates degree or higher or demonstrated competency. Must have a valid driver's license. 2-3 years of experience, preferred. Class A CDL is a plus. Truck dispatching experience, preferred. Must be able to read, write and follow verbal and written instructions in English. What we offer: Mission-driven work in a rapidly growing sustainability company Opportunities for professional growth and learning Collaborative, values-driven team culture Competitive salary and benefits Why You'll Love Working at Denali- Benefits & Perks At Denali, the work we do begins and ends with you - our employees. That's why we strive to ELEVATE you to be your best, both at work and at home. Our benefits aren't just about compensation; they're part of a broader commitment to helping you thrive in all aspects of life. Here's how we live out our values every day: E - Employee: At Denali, we believe in offering competitive compensation packages that include not only great benefits but also a strong focus on safety, flexibility, and rewards and recognition. You are the backbone of our success, and we make sure you're valued every step of the way. L - Learning: We're committed to your growth and development. Our Ascend Employee Development Program and access to over 6,000 professional courses via our Learning Management System empower you to climb higher in your career - all at no cost to you. E - Environment: Our employees deserve a clean Earth. We're dedicated to doing our part in keeping waste out of landfills, so you can be proud of the work we do together to make a positive environmental impact. V - Valued: At Denali, we take pride in creating a culture of care. With resources that support your well-being, volunteerism opportunities, and a commitment to safe working conditions and inclusivity, you'll always feel like you belong here. A - Advancement: We believe in succession planning and providing opportunities for advancement. We want you to grow, and we'll be right there with you, supporting your career every step of the way. T - Together: We're stronger when we work together. At Denali, you'll have opportunities to give and receive support not just within the workplace, but within our broader community. Our team is united, and we celebrate the value of working and succeeding as one. E - Employees: You are the heart of Denali. We believe our employees deserve the very best. This is why we offer an array of benefits that support your overall well-being, from health coverage to work-life balance, because when you succeed, we all succeed. Our Benefits Package Includes: Comprehensive Medical: Our self-insured medical plans are designed with your health in mind, offering competitive options including copay and HSA plans so you can choose what best suit your health needs. Dental & Vision: Keep your smile bright and your vision clear with full coverage for you and your family. Generous 401(k) Match: We're here for your long-term future - we offer a generous 401(k) match of up to 4%, helping you build the foundation for tomorrow. Company-Paid Disability & Life Insurance: We've got you covered with company-paid Long-Term and Short-Term Disability, as well as AD&D and Life Insurance, giving you peace of mind knowing you're protected. Voluntary Life for Employees & Family: Customize additional coverage for you and your loved ones with our voluntary life insurance options. Health Savings Plan: Save on medical expenses with a Health Savings Plan designed for your needs. Paid Time Off (PTO) & Sick Time: We value your well-being. Take time for yourself, your family, and personal matters with generous PTO and Sick Time, including family leave. 9 Paid Holidays: Enjoy a well-rounded work-life balance with 9 paid holidays throughout the year. Paid Weekly: We believe in rewarding hard work consistently, which is why we offer weekly pay so you can stay on top of your financial goals. Professional Development: Ascend in your career with free access to thousands of courses that allow you to grow and develop professionally. Employee Assistance Program: Life can be challenging at times, and we're here to support you with our confidential Employee Assistance Program that offers counseling and resources for a variety of personal and professional needs. Wellness Program: At Denali, we believe that well-being goes beyond health coverage. Our Wellness Program offers resources to keep you mentally, physically, and emotionally balanced as you climb higher in both life and career. We want you to feel valued, supported, and equipped for success - because when you thrive, we all thrive. So, come for benefits. Stay for the culture. We can't wait to see you reach new heights with us at Denali. Apply to join our team today! Equal Employment Opportunity Policy: It is the policy of the Company to provide equal employment opportunities for all employees. Accordingly . click apply for full job details
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! With a global presence and extensive expertise, Santander CIB provides industry leading support for the full range of Global Banking activities. We provide global support for corporate and institutional clients, delivering tailored services, products and solutions including Mergers & Acquisitions (M&A), Debt Capital Markets (DCM), Equity Capital Markets (ECM), Leveraged and Structured Finance. The Difference You Make: We are seeking a Sr Associate / Vice President in Investment Banking supporting our Mergers & Acquisition (M&A) group. You will play a key leadership role in the origination and execution of complex transactions while developing relationships with key clients and driving new business opportunities. Support the origination and lead execution of M&A Advisory transactions. Manage day-to-day deal processes, ensuring milestones and timelines are met. Oversee the development and quality control of financial models and client materials. Serve as the primary point of contact for clients on deal execution matters. Identify and cultivate new business opportunities in collaboration with senior bankers. Provide mentorship and guidance to Analysts and Associates. Travel as requested by senior deal team members and or clients. What You Bring: The ideal candidate brings experience as an M&A Investment Banker supporting the M&A or a Coverage IB team in an M&A capacity for a bulge bracket or leading boutique advisory firm. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree or equivalent: in Finance, Business or equivalent degree - Required. Master's Degree/ MBA: MBA - Preferred. 6+ Years in Corporate Finance as an M&A Banker or Coverage Banker with significant M&A experience. Strong leadership, client relationship management, and negotiation skills. Proven transaction execution experience in investment banking. Advanced technical and strategic advisory capabilities. Ability to work well under pressure and to tight deadlines, and have the aptitude to synthesize large amounts of information and to develop innovative solutions. Ability to manage projects independently and assume a high level of responsibility. Ability to assess and mitigate reputational, operational and credit risk. Experience with sell-side and buy-side merger and acquisition processes. Certifications: SIE, 79 and 63 It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $275,000.00 USD Maximum: $275,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
07/27/2026
Full time
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! With a global presence and extensive expertise, Santander CIB provides industry leading support for the full range of Global Banking activities. We provide global support for corporate and institutional clients, delivering tailored services, products and solutions including Mergers & Acquisitions (M&A), Debt Capital Markets (DCM), Equity Capital Markets (ECM), Leveraged and Structured Finance. The Difference You Make: We are seeking a Sr Associate / Vice President in Investment Banking supporting our Mergers & Acquisition (M&A) group. You will play a key leadership role in the origination and execution of complex transactions while developing relationships with key clients and driving new business opportunities. Support the origination and lead execution of M&A Advisory transactions. Manage day-to-day deal processes, ensuring milestones and timelines are met. Oversee the development and quality control of financial models and client materials. Serve as the primary point of contact for clients on deal execution matters. Identify and cultivate new business opportunities in collaboration with senior bankers. Provide mentorship and guidance to Analysts and Associates. Travel as requested by senior deal team members and or clients. What You Bring: The ideal candidate brings experience as an M&A Investment Banker supporting the M&A or a Coverage IB team in an M&A capacity for a bulge bracket or leading boutique advisory firm. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree or equivalent: in Finance, Business or equivalent degree - Required. Master's Degree/ MBA: MBA - Preferred. 6+ Years in Corporate Finance as an M&A Banker or Coverage Banker with significant M&A experience. Strong leadership, client relationship management, and negotiation skills. Proven transaction execution experience in investment banking. Advanced technical and strategic advisory capabilities. Ability to work well under pressure and to tight deadlines, and have the aptitude to synthesize large amounts of information and to develop innovative solutions. Ability to manage projects independently and assume a high level of responsibility. Ability to assess and mitigate reputational, operational and credit risk. Experience with sell-side and buy-side merger and acquisition processes. Certifications: SIE, 79 and 63 It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $275,000.00 USD Maximum: $275,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
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, Systems Engineering - Space Intelligence Analyst (Active TS/SCI w/ CI Poly Required) Job Code: 38747 Job Location: Springfield, Virginia (100% On-site) Job Schedule: 5/8 Monday-Friday Job Description: L3Harris Technologies currently has an opening for a Specialist, Systems Engineer - Space Intelligence Analyst for an important national security program. The successful candidate will join a high-performing team of Government and Contractor professionals supporting real-time space operations. This role is responsible for monitoring, analyzing, and assessing space-related activities to provide mission status updates, anomaly investigations, recommended courses of action (COAs), and decision support information to senior leaders in support of the Space Warfighting Mission. The Space Intelligence Analyst will play a critical role in maintaining the health and safety of both ground and space assets, as well as associated infrastructure nodes. The ideal candidate will have direct experience in space operations, familiarity with COA and Tactics, Techniques, and Procedures (TTP) development, and a solid understanding of the Space Warfighting construct. This position requires the ability to operate effectively in a dynamic, fast-paced environment with frequently changing priorities and tasking. The successful candidate will be expected to respond quickly, maintain a high degree of situational awareness, and collaborate closely with mission partners to ensure timely and accurate intelligence support. Essential Functions: • Work full time at a government customer site, supporting real-time space operations and intelligence integration. • Maintain situational of space threats, high-interest events, and adversary capabilities impacting U.S. space assets. • Conduct research and analysis on counterspace threats and associated vulnerabilities to mission systems. • Enter and manage data in intelligence tools and internal-use products, including adversary Order of Battle (OOB), force disposition, and asset tracking. • Generate and deliver a daily intelligence and Operations Summary briefing that includes situational updates, national security priorities, counterspace activity, foreign launch analysis, adversary weapons characterization, and geospatial intelligence insights. • Develop weekly intelligence summaries and activity reports to support leadership situational awareness and decision-making. • Manage the Operations Highlight process to support daily briefings, monthly all-hands meetings, and Quarterly Program Reviews (QPRs). • Log daily shift activities and record significant events and anomalies in accordance with operational standards. • Generate, present, and disseminate intelligence briefings and mission products to senior leadership, enterprise stakeholders, and mission partners. • Support intelligence collection and analysis requests through systems such as the Space Collection Working Group, SOCC Sensor Collection Request, National MASINT Requirements System (NMRS), COLISEUM, or other validated request mechanisms. • Participate in Joint Targeting Working Groups and Coordination Boards as needed to ensure alignment with national and coalition intelligence priorities. • Assist in the onboarding and operational integration of new and enhanced tools, databases, and mission applications. • Perform additional duties and responsibilities as assigned in support of evolving mission requirements. Qualifications: • Bachelor's Degree and minimum of 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. • Active Top Secret/SCI with CI Poly clearance required. • 2+ years' experience working with Threat Intelligence Platforms (TIPs), with a preference for all-source analysis involving SIGINT, GEOINT, MASINT, OSINT, and HUMINT fusion. Preferred Additional Skills: • Demonstrated experience collaborating with multiple internal and external stakeholders to gather, vet, enrich, and disseminate intelligence through joint reports and coordinated information sharing. • Strong understanding of space and cyber threat vectors, including adversary vulnerabilities, attack methodologies, and counterspace capabilities. • Ability to produce clear, concise briefings, presentations, and written reports that convey complex intelligence topics - such as threat actor profiles, trend assessments, indicator bulletins, and defensive strategy recommendations - to technical and non-technical audiences. • Proven ability to adopt an adversarial mindset when analyzing targeted infrastructure, enabling predict of likely Courses of Actions (COAs) in support of tactical and operational planning. • Proficient in Microsoft Office applications, including Word, Excel, and PowerPoint, for product generation and data organization. • Strong communication, interpersonal, and presentation skills, with the ability to convey technical information clearly and effectively to leadership and mission stakeholders. • Familiarity with DoD and NRO spacecraft, mission In compliance with pay transparency requirements, the salary range for this role in Virginia - Greater Washington, D.C. Area $92,500 - $171,500.00. 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: Specialist, Systems Engineering - Space Intelligence Analyst (Active TS/SCI w/ CI Poly Required) Job Code: 38747 Job Location: Springfield, Virginia (100% On-site) Job Schedule: 5/8 Monday-Friday Job Description: L3Harris Technologies currently has an opening for a Specialist, Systems Engineer - Space Intelligence Analyst for an important national security program. The successful candidate will join a high-performing team of Government and Contractor professionals supporting real-time space operations. This role is responsible for monitoring, analyzing, and assessing space-related activities to provide mission status updates, anomaly investigations, recommended courses of action (COAs), and decision support information to senior leaders in support of the Space Warfighting Mission. The Space Intelligence Analyst will play a critical role in maintaining the health and safety of both ground and space assets, as well as associated infrastructure nodes. The ideal candidate will have direct experience in space operations, familiarity with COA and Tactics, Techniques, and Procedures (TTP) development, and a solid understanding of the Space Warfighting construct. This position requires the ability to operate effectively in a dynamic, fast-paced environment with frequently changing priorities and tasking. The successful candidate will be expected to respond quickly, maintain a high degree of situational awareness, and collaborate closely with mission partners to ensure timely and accurate intelligence support. Essential Functions: • Work full time at a government customer site, supporting real-time space operations and intelligence integration. • Maintain situational of space threats, high-interest events, and adversary capabilities impacting U.S. space assets. • Conduct research and analysis on counterspace threats and associated vulnerabilities to mission systems. • Enter and manage data in intelligence tools and internal-use products, including adversary Order of Battle (OOB), force disposition, and asset tracking. • Generate and deliver a daily intelligence and Operations Summary briefing that includes situational updates, national security priorities, counterspace activity, foreign launch analysis, adversary weapons characterization, and geospatial intelligence insights. • Develop weekly intelligence summaries and activity reports to support leadership situational awareness and decision-making. • Manage the Operations Highlight process to support daily briefings, monthly all-hands meetings, and Quarterly Program Reviews (QPRs). • Log daily shift activities and record significant events and anomalies in accordance with operational standards. • Generate, present, and disseminate intelligence briefings and mission products to senior leadership, enterprise stakeholders, and mission partners. • Support intelligence collection and analysis requests through systems such as the Space Collection Working Group, SOCC Sensor Collection Request, National MASINT Requirements System (NMRS), COLISEUM, or other validated request mechanisms. • Participate in Joint Targeting Working Groups and Coordination Boards as needed to ensure alignment with national and coalition intelligence priorities. • Assist in the onboarding and operational integration of new and enhanced tools, databases, and mission applications. • Perform additional duties and responsibilities as assigned in support of evolving mission requirements. Qualifications: • Bachelor's Degree and minimum of 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. • Active Top Secret/SCI with CI Poly clearance required. • 2+ years' experience working with Threat Intelligence Platforms (TIPs), with a preference for all-source analysis involving SIGINT, GEOINT, MASINT, OSINT, and HUMINT fusion. Preferred Additional Skills: • Demonstrated experience collaborating with multiple internal and external stakeholders to gather, vet, enrich, and disseminate intelligence through joint reports and coordinated information sharing. • Strong understanding of space and cyber threat vectors, including adversary vulnerabilities, attack methodologies, and counterspace capabilities. • Ability to produce clear, concise briefings, presentations, and written reports that convey complex intelligence topics - such as threat actor profiles, trend assessments, indicator bulletins, and defensive strategy recommendations - to technical and non-technical audiences. • Proven ability to adopt an adversarial mindset when analyzing targeted infrastructure, enabling predict of likely Courses of Actions (COAs) in support of tactical and operational planning. • Proficient in Microsoft Office applications, including Word, Excel, and PowerPoint, for product generation and data organization. • Strong communication, interpersonal, and presentation skills, with the ability to convey technical information clearly and effectively to leadership and mission stakeholders. • Familiarity with DoD and NRO spacecraft, mission In compliance with pay transparency requirements, the salary range for this role in Virginia - Greater Washington, D.C. Area $92,500 - $171,500.00. 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.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Sr. Injury Adjuster, you will work within defined guidelines and framework, responsible to adjust attorney involved moderately complex bodily injury claims to include confirming coverage, determining liability, investigating, evaluating, negotiating, defending, and settling claims in compliance with state laws and regulations. Accountable for delivering a concierge level of best in class member service through setting appropriate expectations, proactive communications, advice, and compassion. This hybrid role requires an individual to be in the office 3 days per week. This position can be based in one of the following locations: San Antonio, TX; Chesapeake, VA; Tampa, FL; Colorado Springs, CO and Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies, standards, and procedures for business activities. Adjusts attorney-involved moderately complex bodily injury claims with demonstrable injuries (e.g. torn meniscus, broken bones, disc herniations), as well as all auto physical damage associated with those claims. Identifies, confirms, and makes coverage decisions on moderately complex bodily injury claims. Investigates loss details, determines legal liability, evaluates, negotiates, and arrives at claim settlement within appropriate authority guidelines. Clearly documents thought process, investigation, evaluation, negotiation, and settlement decisions. Prioritizes and manages assigned claims workload to keep members and other involved parties informed, provides timely claims status updates. Collaborates and supports team members to resolve issues and identify appropriate matters for escalation. Partners and/or directs vendors and internal business partners to facilitate timely claims resolution. Supports workload surges and/or Catastrophe Operations as needed. May act as an informal resource for team members with less experience. What you have: High School or General Equivalency Diploma. 1 year of injury adjusting experience. 2 years of auto liability claims adjusting experience. Deep knowledge and understanding of the auto claims contract as well as application of case law and state laws and regulations. Proficient negotiation, investigation, communication, and conflict resolution skills. Demonstrated time-management and decision-making skills. Proven investigatory, prioritizing, multi-tasking, and problem-solving skills. Proficient knowledge of human anatomy and medical terminology associated with bodily injury claims. Ability to exercise sound financial judgment and discretion in handling insurance claims. Proficient knowledge of coverage evaluation, loss assessment, and loss reserving. Acquisition and maintenance of insurance adjuster license within 90 days and designated number of attempts. What sets you apart: Current Early Settlement or have at least one year of previous Early Settlement experience. 2 years of handling attorney represented third party injury claims. 4 or more years auto liability/casualty adjusting experience. Ongoing Professional Development with a focus on Insurance. Bachelors degree or higher. US military experience through military service or a military spouse/domestic partner. Compensation Range: The salary range for this position is: $63,590 - $121,530. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
07/27/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Sr. Injury Adjuster, you will work within defined guidelines and framework, responsible to adjust attorney involved moderately complex bodily injury claims to include confirming coverage, determining liability, investigating, evaluating, negotiating, defending, and settling claims in compliance with state laws and regulations. Accountable for delivering a concierge level of best in class member service through setting appropriate expectations, proactive communications, advice, and compassion. This hybrid role requires an individual to be in the office 3 days per week. This position can be based in one of the following locations: San Antonio, TX; Chesapeake, VA; Tampa, FL; Colorado Springs, CO and Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies, standards, and procedures for business activities. Adjusts attorney-involved moderately complex bodily injury claims with demonstrable injuries (e.g. torn meniscus, broken bones, disc herniations), as well as all auto physical damage associated with those claims. Identifies, confirms, and makes coverage decisions on moderately complex bodily injury claims. Investigates loss details, determines legal liability, evaluates, negotiates, and arrives at claim settlement within appropriate authority guidelines. Clearly documents thought process, investigation, evaluation, negotiation, and settlement decisions. Prioritizes and manages assigned claims workload to keep members and other involved parties informed, provides timely claims status updates. Collaborates and supports team members to resolve issues and identify appropriate matters for escalation. Partners and/or directs vendors and internal business partners to facilitate timely claims resolution. Supports workload surges and/or Catastrophe Operations as needed. May act as an informal resource for team members with less experience. What you have: High School or General Equivalency Diploma. 1 year of injury adjusting experience. 2 years of auto liability claims adjusting experience. Deep knowledge and understanding of the auto claims contract as well as application of case law and state laws and regulations. Proficient negotiation, investigation, communication, and conflict resolution skills. Demonstrated time-management and decision-making skills. Proven investigatory, prioritizing, multi-tasking, and problem-solving skills. Proficient knowledge of human anatomy and medical terminology associated with bodily injury claims. Ability to exercise sound financial judgment and discretion in handling insurance claims. Proficient knowledge of coverage evaluation, loss assessment, and loss reserving. Acquisition and maintenance of insurance adjuster license within 90 days and designated number of attempts. What sets you apart: Current Early Settlement or have at least one year of previous Early Settlement experience. 2 years of handling attorney represented third party injury claims. 4 or more years auto liability/casualty adjusting experience. Ongoing Professional Development with a focus on Insurance. Bachelors degree or higher. US military experience through military service or a military spouse/domestic partner. Compensation Range: The salary range for this position is: $63,590 - $121,530. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! With a global presence and extensive expertise, Santander CIB provides industry leading support for the full range of Global Banking activities. We provide global support for corporate and institutional clients, delivering tailored services, products and solutions including Mergers & Acquisitions (M&A), Debt Capital Markets (DCM), Equity Capital Markets (ECM), Leveraged and Structured Finance. The Difference You Make: We are seeking a Sr Associate / Vice President in Investment Banking supporting our Mergers & Acquisition (M&A) group. You will play a key leadership role in the origination and execution of complex transactions while developing relationships with key clients and driving new business opportunities. Support the origination and lead execution of M&A Advisory transactions. Manage day-to-day deal processes, ensuring milestones and timelines are met. Oversee the development and quality control of financial models and client materials. Serve as the primary point of contact for clients on deal execution matters. Identify and cultivate new business opportunities in collaboration with senior bankers. Provide mentorship and guidance to Analysts and Associates. Travel as requested by senior deal team members and or clients. What You Bring: The ideal candidate brings experience as an M&A Investment Banker supporting the M&A or a Coverage IB team in an M&A capacity for a bulge bracket or leading boutique advisory firm. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree or equivalent: in Finance, Business or equivalent degree - Required. Master's Degree/ MBA: MBA - Preferred. 6+ Years in Corporate Finance as an M&A Banker or Coverage Banker with significant M&A experience. Strong leadership, client relationship management, and negotiation skills. Proven transaction execution experience in investment banking. Advanced technical and strategic advisory capabilities. Ability to work well under pressure and to tight deadlines, and have the aptitude to synthesize large amounts of information and to develop innovative solutions. Ability to manage projects independently and assume a high level of responsibility. Ability to assess and mitigate reputational, operational and credit risk. Experience with sell-side and buy-side merger and acquisition processes. Certifications: SIE, 79 and 63 It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $275,000.00 USD Maximum: $275,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
07/27/2026
Full time
It Starts Here: Santander is a global leader and innovator in the financial services industry and is evolving from a high-impact brand into a technology-driven organization. Our people are at the heart of this journey and together, we are driving a customer-centric transformation that values bold thinking, innovation, and the courage to challenge what's possible. This is more than a strategic shift. It's a chance for driven professionals to grow, learn, and make a real difference. If you are interested in exploring the possibilities We Want to Talk to You! With a global presence and extensive expertise, Santander CIB provides industry leading support for the full range of Global Banking activities. We provide global support for corporate and institutional clients, delivering tailored services, products and solutions including Mergers & Acquisitions (M&A), Debt Capital Markets (DCM), Equity Capital Markets (ECM), Leveraged and Structured Finance. The Difference You Make: We are seeking a Sr Associate / Vice President in Investment Banking supporting our Mergers & Acquisition (M&A) group. You will play a key leadership role in the origination and execution of complex transactions while developing relationships with key clients and driving new business opportunities. Support the origination and lead execution of M&A Advisory transactions. Manage day-to-day deal processes, ensuring milestones and timelines are met. Oversee the development and quality control of financial models and client materials. Serve as the primary point of contact for clients on deal execution matters. Identify and cultivate new business opportunities in collaboration with senior bankers. Provide mentorship and guidance to Analysts and Associates. Travel as requested by senior deal team members and or clients. What You Bring: The ideal candidate brings experience as an M&A Investment Banker supporting the M&A or a Coverage IB team in an M&A capacity for a bulge bracket or leading boutique advisory firm. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Bachelor's degree or equivalent: in Finance, Business or equivalent degree - Required. Master's Degree/ MBA: MBA - Preferred. 6+ Years in Corporate Finance as an M&A Banker or Coverage Banker with significant M&A experience. Strong leadership, client relationship management, and negotiation skills. Proven transaction execution experience in investment banking. Advanced technical and strategic advisory capabilities. Ability to work well under pressure and to tight deadlines, and have the aptitude to synthesize large amounts of information and to develop innovative solutions. Ability to manage projects independently and assume a high level of responsibility. Ability to assess and mitigate reputational, operational and credit risk. Experience with sell-side and buy-side merger and acquisition processes. Certifications: SIE, 79 and 63 It Would Be Nice For You To Have: Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education. Work Authorization & Sponsorship: Applicants must be legally authorized to work in the United States on a full-time basis without requiring employer sponsorship to commence employment. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Base Pay Range: Minimum: $275,000.00 USD Maximum: $275,000.00 USD We Value Your Impact: Your contribution matters and it's recognized. You can expect a fair and competitive rewards package that reflects the impact you create and the value you deliver. We know rewards go beyond numbers. Offering more than just a paycheck our benefits are designed to support you, your family and your well-being, now and into the future. Santander Benefits - 2026 Santander OnGoing/NH eGuide () Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next : If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at to discuss your needs.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Sr. Injury Adjuster, you will work within defined guidelines and framework, responsible to adjust attorney involved moderately complex bodily injury claims to include confirming coverage, determining liability, investigating, evaluating, negotiating, defending, and settling claims in compliance with state laws and regulations. Accountable for delivering a concierge level of best in class member service through setting appropriate expectations, proactive communications, advice, and compassion. This hybrid role requires an individual to be in the office 3 days per week. This position can be based in one of the following locations: San Antonio, TX; Chesapeake, VA; Tampa, FL; Colorado Springs, CO and Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies, standards, and procedures for business activities. Adjusts attorney-involved moderately complex bodily injury claims with demonstrable injuries (e.g. torn meniscus, broken bones, disc herniations), as well as all auto physical damage associated with those claims. Identifies, confirms, and makes coverage decisions on moderately complex bodily injury claims. Investigates loss details, determines legal liability, evaluates, negotiates, and arrives at claim settlement within appropriate authority guidelines. Clearly documents thought process, investigation, evaluation, negotiation, and settlement decisions. Prioritizes and manages assigned claims workload to keep members and other involved parties informed, provides timely claims status updates. Collaborates and supports team members to resolve issues and identify appropriate matters for escalation. Partners and/or directs vendors and internal business partners to facilitate timely claims resolution. Supports workload surges and/or Catastrophe Operations as needed. May act as an informal resource for team members with less experience. What you have: High School or General Equivalency Diploma. 1 year of injury adjusting experience. 2 years of auto liability claims adjusting experience. Deep knowledge and understanding of the auto claims contract as well as application of case law and state laws and regulations. Proficient negotiation, investigation, communication, and conflict resolution skills. Demonstrated time-management and decision-making skills. Proven investigatory, prioritizing, multi-tasking, and problem-solving skills. Proficient knowledge of human anatomy and medical terminology associated with bodily injury claims. Ability to exercise sound financial judgment and discretion in handling insurance claims. Proficient knowledge of coverage evaluation, loss assessment, and loss reserving. Acquisition and maintenance of insurance adjuster license within 90 days and designated number of attempts. What sets you apart: Current Early Settlement or have at least one year of previous Early Settlement experience. 2 years of handling attorney represented third party injury claims. 4 or more years auto liability/casualty adjusting experience. Ongoing Professional Development with a focus on Insurance. Bachelors degree or higher. US military experience through military service or a military spouse/domestic partner. Compensation Range: The salary range for this position is: $63,590 - $121,530. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
07/27/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Sr. Injury Adjuster, you will work within defined guidelines and framework, responsible to adjust attorney involved moderately complex bodily injury claims to include confirming coverage, determining liability, investigating, evaluating, negotiating, defending, and settling claims in compliance with state laws and regulations. Accountable for delivering a concierge level of best in class member service through setting appropriate expectations, proactive communications, advice, and compassion. This hybrid role requires an individual to be in the office 3 days per week. This position can be based in one of the following locations: San Antonio, TX; Chesapeake, VA; Tampa, FL; Colorado Springs, CO and Phoenix, AZ. Relocation assistance is not available for this position. What you'll do: Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies, standards, and procedures for business activities. Adjusts attorney-involved moderately complex bodily injury claims with demonstrable injuries (e.g. torn meniscus, broken bones, disc herniations), as well as all auto physical damage associated with those claims. Identifies, confirms, and makes coverage decisions on moderately complex bodily injury claims. Investigates loss details, determines legal liability, evaluates, negotiates, and arrives at claim settlement within appropriate authority guidelines. Clearly documents thought process, investigation, evaluation, negotiation, and settlement decisions. Prioritizes and manages assigned claims workload to keep members and other involved parties informed, provides timely claims status updates. Collaborates and supports team members to resolve issues and identify appropriate matters for escalation. Partners and/or directs vendors and internal business partners to facilitate timely claims resolution. Supports workload surges and/or Catastrophe Operations as needed. May act as an informal resource for team members with less experience. What you have: High School or General Equivalency Diploma. 1 year of injury adjusting experience. 2 years of auto liability claims adjusting experience. Deep knowledge and understanding of the auto claims contract as well as application of case law and state laws and regulations. Proficient negotiation, investigation, communication, and conflict resolution skills. Demonstrated time-management and decision-making skills. Proven investigatory, prioritizing, multi-tasking, and problem-solving skills. Proficient knowledge of human anatomy and medical terminology associated with bodily injury claims. Ability to exercise sound financial judgment and discretion in handling insurance claims. Proficient knowledge of coverage evaluation, loss assessment, and loss reserving. Acquisition and maintenance of insurance adjuster license within 90 days and designated number of attempts. What sets you apart: Current Early Settlement or have at least one year of previous Early Settlement experience. 2 years of handling attorney represented third party injury claims. 4 or more years auto liability/casualty adjusting experience. Ongoing Professional Development with a focus on Insurance. Bachelors degree or higher. US military experience through military service or a military spouse/domestic partner. Compensation Range: The salary range for this position is: $63,590 - $121,530. USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.). Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
MinistryHub is honored to partner with Crossroads Church in their search for an Associate Campus Pastor. Please direct all applications through MinistryHub and any inquiries to . The Associate Campus Pastor embraces the mission, vision and values of Crossroads Church and leads a campus under the direction of the Campus Pastor in all aspects of church life. His call to ministry is affirmed by the authentic life change in the community of believers influenced by their leadership through faith in Jesus Christ. CHARACTER: As a devoted follower of Christ, demonstrates a clear call from God to serve the community and campus through pastoral ministry. Displays Christlike humility, integrity, and discernment. Exhibits relational warmth and approachability, fostering an environment of trust and encouragement. Models a teachable spirit, inspiring teams to serve with unity and purpose. Leads with wisdom and compassion, equipping and shepherding the body of Christ. RESPONSIBILITIES: 1. Reproduce Culture - Embrace and replicate Crossroads' culture at the campus level. Hold self, staff and volunteers accountable through attitudes and interactions. Welcome feedback from the Campus Pastor and Senior Pastor regarding culture concerns and make adjustments as directed. 2. Provide Pastoral Care and Discipleship - Provide pastoral care including hospital visits, weddings, funerals, crisis response, and spiritual guidance. Ensure systems are in place for ongoing spiritual formation through groups, classes, and mentoring. 3. Lead and Teach at Worship Services - Serve as the pastoral presence at the campus' weekly worship services. Prepare sermons that align with Crossroads' doctrine and fit into the sermon series as scheduled. Willingly receive coaching in order to develop a preaching style that aligns with the church's culture. Deliver compelling, biblically-grounded sermons on a regular rotation. Maintain theological accuracy while communicating biblical concepts in accessible ways. Participate in teaching cohort meetings and contribute to creative worship experiences. 4. Develop Campus Staff - As assigned, oversee the orientation and ongoing professional development of campus staff. Manage staff and provide performance feedback in accordance with the evaluation process. Oversee time-tracking and stewarding of budget in support of campus pastor. Collaborate with other pastoral staff to ensure cohesive ministry vision. 5. Direct Volunteer Leaders - Cultivate volunteer leadership by identifying potential leaders, recruiting individuals for service, ensuring necessary training and resources, and offering ongoing coaching and support. 6. Implement New Initiatives - Foster an environment where staff feels encouraged to propose new ministry ideas to reach the campus community. Successfully implement approved ministry initiatives at the campus level. Manage projects by leading, delegating, and fostering productivity. 7. Oversee Campus Operations - In collaboration with the Campus Pastor and Central services, ensure campus operations including facilities, hospitality, security, and Sunday readiness are excellent and sustainable. SKILLS AND COMPETENCIES: Effective communication and teaching. High emotional intelligence and strong relational capacity. Strong organizational, project management, and follow-through. Constructive and biblical conflict resolution. Technologically proficient (e.g., church database systems, collaboration tools). QUALIFICATIONS: Education: Bachelor Degree required, and Seminary Degree or in pursuit, strongly preferred Experience: At least five years of Christian ministry experience which includes (1) evidence of the ability to lead people into an authentic relationship with Jesus Christ as well as shepherd and disciple new believers toward spiritual maturity, and (2) considerable, successful experience leading staff or volunteers and working on peer-based teams. Demonstrated ability to equip, empower, manage and encourage others while also holding them accountable to completing their job duties.Demonstrates spiritual gifts of Candidate should rate high in the spiritual gifting areas of: pastor/shepherd, leadership, discernment, exhortation and teaching. Experience in a multi-staff church environment is preferred. Affirmation of the mission, vision, values, and beliefs of Crossroads. WORK SCHEDULE: Full-time, with regular evening and weekend availability for services, events, and pastoral care. Availability required for occasional special events, meetings, and trainings. Schedule will be consistent and coordinated with the Campus Pastor. APPLICATION PROCESS: Interested candidates should submit: A detailed cover letter explaining ministry philosophy and calling. A current resume highlighting relevant ministry experience. Three professional references (including at least one senior/ lead pastor). Links to or recordings of two to three recent sermon examples. A brief theological statement addressing key biblical doctrines.
07/26/2026
Full time
MinistryHub is honored to partner with Crossroads Church in their search for an Associate Campus Pastor. Please direct all applications through MinistryHub and any inquiries to . The Associate Campus Pastor embraces the mission, vision and values of Crossroads Church and leads a campus under the direction of the Campus Pastor in all aspects of church life. His call to ministry is affirmed by the authentic life change in the community of believers influenced by their leadership through faith in Jesus Christ. CHARACTER: As a devoted follower of Christ, demonstrates a clear call from God to serve the community and campus through pastoral ministry. Displays Christlike humility, integrity, and discernment. Exhibits relational warmth and approachability, fostering an environment of trust and encouragement. Models a teachable spirit, inspiring teams to serve with unity and purpose. Leads with wisdom and compassion, equipping and shepherding the body of Christ. RESPONSIBILITIES: 1. Reproduce Culture - Embrace and replicate Crossroads' culture at the campus level. Hold self, staff and volunteers accountable through attitudes and interactions. Welcome feedback from the Campus Pastor and Senior Pastor regarding culture concerns and make adjustments as directed. 2. Provide Pastoral Care and Discipleship - Provide pastoral care including hospital visits, weddings, funerals, crisis response, and spiritual guidance. Ensure systems are in place for ongoing spiritual formation through groups, classes, and mentoring. 3. Lead and Teach at Worship Services - Serve as the pastoral presence at the campus' weekly worship services. Prepare sermons that align with Crossroads' doctrine and fit into the sermon series as scheduled. Willingly receive coaching in order to develop a preaching style that aligns with the church's culture. Deliver compelling, biblically-grounded sermons on a regular rotation. Maintain theological accuracy while communicating biblical concepts in accessible ways. Participate in teaching cohort meetings and contribute to creative worship experiences. 4. Develop Campus Staff - As assigned, oversee the orientation and ongoing professional development of campus staff. Manage staff and provide performance feedback in accordance with the evaluation process. Oversee time-tracking and stewarding of budget in support of campus pastor. Collaborate with other pastoral staff to ensure cohesive ministry vision. 5. Direct Volunteer Leaders - Cultivate volunteer leadership by identifying potential leaders, recruiting individuals for service, ensuring necessary training and resources, and offering ongoing coaching and support. 6. Implement New Initiatives - Foster an environment where staff feels encouraged to propose new ministry ideas to reach the campus community. Successfully implement approved ministry initiatives at the campus level. Manage projects by leading, delegating, and fostering productivity. 7. Oversee Campus Operations - In collaboration with the Campus Pastor and Central services, ensure campus operations including facilities, hospitality, security, and Sunday readiness are excellent and sustainable. SKILLS AND COMPETENCIES: Effective communication and teaching. High emotional intelligence and strong relational capacity. Strong organizational, project management, and follow-through. Constructive and biblical conflict resolution. Technologically proficient (e.g., church database systems, collaboration tools). QUALIFICATIONS: Education: Bachelor Degree required, and Seminary Degree or in pursuit, strongly preferred Experience: At least five years of Christian ministry experience which includes (1) evidence of the ability to lead people into an authentic relationship with Jesus Christ as well as shepherd and disciple new believers toward spiritual maturity, and (2) considerable, successful experience leading staff or volunteers and working on peer-based teams. Demonstrated ability to equip, empower, manage and encourage others while also holding them accountable to completing their job duties.Demonstrates spiritual gifts of Candidate should rate high in the spiritual gifting areas of: pastor/shepherd, leadership, discernment, exhortation and teaching. Experience in a multi-staff church environment is preferred. Affirmation of the mission, vision, values, and beliefs of Crossroads. WORK SCHEDULE: Full-time, with regular evening and weekend availability for services, events, and pastoral care. Availability required for occasional special events, meetings, and trainings. Schedule will be consistent and coordinated with the Campus Pastor. APPLICATION PROCESS: Interested candidates should submit: A detailed cover letter explaining ministry philosophy and calling. A current resume highlighting relevant ministry experience. Three professional references (including at least one senior/ lead pastor). Links to or recordings of two to three recent sermon examples. A brief theological statement addressing key biblical doctrines.
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Sr. Injury Adjuster, you will work within defined guidelines and framework, responsible to adjust attorney involved moderately complex bodily injury to include confirming coverage, determining liability, investigating, evaluating, negotiating, defending, and settling claims in compliance with state laws and regulations. Accountable for delivering a concierge level of best in class member service through setting appropriate expectations, proactive communications, advice, and compassion. This role is remote eligible in the Pacific or Mountain time zones, with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work hybrid on-site three days per week. For new hires starting, we are offering a signing bonus of $2,500. Bonus will be paid in one lump sum (minus applicable taxes) after 45 days of employment. What you'll do: Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies, standards, and procedures for business activities. Adjusts attorney-involved moderately complex bodily injury claims with demonstrable injuries (e.g. torn meniscus, broken bones, disc herniations), as well as all auto physical damage associated with those claims. Identifies, confirms, and makes coverage decisions on moderately complex bodily injury claims. Investigates loss details, determines legal liability, evaluates, negotiates, and arrives at claim settlement within appropriate authority guidelines. Clearly documents thought process, investigation, evaluation, negotiation, and settlement decisions. Prioritizes and manages assigned claims workload to keep members and other involved parties informed, provides timely claims status updates. Collaborates and supports team members to resolve issues and identify appropriate matters for escalation. Partners and/or directs vendors and internal business partners to facilitate timely claims resolution. Supports workload surges and/or Catastrophe Operations as needed. May act as an informal resource for team members with less experience. What you have: High School or General Equivalency Diploma. 1 year of injury adjusting experience. 2 years of auto liability claims adjusting experience. Deep knowledge and understanding of the auto claims contract as well as application of case law and state laws and regulations. Proficient negotiation, investigation, communication, and conflict resolution skills. Demonstrated time-management and decision-making skills. Proven investigatory, prioritizing, multi-tasking, and problem-solving skills. Proficient knowledge of human anatomy and medical terminology associated with bodily injury claims. Ability to exercise sound financial judgment and discretion in handling insurance claims. Proficient knowledge of coverage evaluation, loss assessment, and loss reserving. Acquisition and maintenance of insurance adjuster license within 90 days and designated number of attempts. What sets you apart: Demonstrated expertise in claims handling, including experience managing injury claims for Washington State and the North Central region. 4 or more years auto liability/casualty adjusting experience. 1 year of medical claims handling experience. Ongoing Professional Development with a focus on Insurance. Bachelors degree or higher. US military experience through military service or a military spouse/domestic partner. Compensation Range: The salary range for this position is: $63,590 - $117,990. Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
07/26/2026
Full time
Why USAA? At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the choice for the military community and their families. Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful. We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs. The Opportunity As a dedicated Sr. Injury Adjuster, you will work within defined guidelines and framework, responsible to adjust attorney involved moderately complex bodily injury to include confirming coverage, determining liability, investigating, evaluating, negotiating, defending, and settling claims in compliance with state laws and regulations. Accountable for delivering a concierge level of best in class member service through setting appropriate expectations, proactive communications, advice, and compassion. This role is remote eligible in the Pacific or Mountain time zones, with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work hybrid on-site three days per week. For new hires starting, we are offering a signing bonus of $2,500. Bonus will be paid in one lump sum (minus applicable taxes) after 45 days of employment. What you'll do: Identifies and manages existing and emerging risks that stem from business activities and the job role. Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. Follows written risk and compliance policies, standards, and procedures for business activities. Adjusts attorney-involved moderately complex bodily injury claims with demonstrable injuries (e.g. torn meniscus, broken bones, disc herniations), as well as all auto physical damage associated with those claims. Identifies, confirms, and makes coverage decisions on moderately complex bodily injury claims. Investigates loss details, determines legal liability, evaluates, negotiates, and arrives at claim settlement within appropriate authority guidelines. Clearly documents thought process, investigation, evaluation, negotiation, and settlement decisions. Prioritizes and manages assigned claims workload to keep members and other involved parties informed, provides timely claims status updates. Collaborates and supports team members to resolve issues and identify appropriate matters for escalation. Partners and/or directs vendors and internal business partners to facilitate timely claims resolution. Supports workload surges and/or Catastrophe Operations as needed. May act as an informal resource for team members with less experience. What you have: High School or General Equivalency Diploma. 1 year of injury adjusting experience. 2 years of auto liability claims adjusting experience. Deep knowledge and understanding of the auto claims contract as well as application of case law and state laws and regulations. Proficient negotiation, investigation, communication, and conflict resolution skills. Demonstrated time-management and decision-making skills. Proven investigatory, prioritizing, multi-tasking, and problem-solving skills. Proficient knowledge of human anatomy and medical terminology associated with bodily injury claims. Ability to exercise sound financial judgment and discretion in handling insurance claims. Proficient knowledge of coverage evaluation, loss assessment, and loss reserving. Acquisition and maintenance of insurance adjuster license within 90 days and designated number of attempts. What sets you apart: Demonstrated expertise in claims handling, including experience managing injury claims for Washington State and the North Central region. 4 or more years auto liability/casualty adjusting experience. 1 year of medical claims handling experience. Ongoing Professional Development with a focus on Insurance. Bachelors degree or higher. US military experience through military service or a military spouse/domestic partner. Compensation Range: The salary range for this position is: $63,590 - $117,990. Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location. Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors. The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job. Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals. For more details on our outstanding benefits, visit our benefits page on Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting. USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
