151 jobs found

Job Description Job Description Position Title: Manufacturing Engineer Manager General Description Lead Manufacturing Engineering activities for Injection Molding, Painting, and Assembly operations. Develop and implement manufacturing strategies, automation systems, and process improvements. Responsibilities II-2-1. Manufacturing Engineering Leadership - Lead Manufacturing Engineering activities across Injection Molding, Painting, and Assembly operations. - Manage engineering resources, priorities, KPIs, and team development to support business objectives. - Lead, coach, and develop Manufacturing Engineers and Engineering Technicians to achieve departmental objectives. II-2-2. New Program Launch & Localization - Lead manufacturing readiness activities from development through SOP and mass production. - Maintain compliance with IATF, safety, and environmental standards. - Prepare and manage engineering documents, reports, and production data. II-2-3. Process Optimization & Continuous Improvement - Drive continuous improvement initiatives to enhance OEE, productivity, quality, and cost performance. - Lead root cause analysis and implement corrective actions for recurring manufacturing issues. II-2-4. Automation & Manufacturing Systems - Lead automation projects including robotics, PLC, painting, injection molding equipment, and assembly equipment. - Support manufacturing system development, commissioning, troubleshooting, and process stabilization. II-2-5. Capacity Planning & Layout Management - Develop manufacturing layouts and capacity plans to support business growth and operational efficiency. - Analyze production requirements and optimize equipment, manpower, facility utilization, and manufacturing capacity. II-2-6. CAPEX & Facility Development - Lead annual CAPEX planning, budgeting, equipment procurement, and manufacturing investment projects. - Ensure projects are completed on schedule, within budget, and aligned with business objectives. II-2-7. Equipment Reliability & Maintenance Support - Improve equipment uptime and manufacturing efficiency through engineering and maintenance collaboration. - Lead downtime reduction activities, root cause analysis, and long-term corrective actions. Job Requirements Work Experience 10+ years of experience in Automotive Manufacturing Engineering, Process Engineering, or Operations. 5+ years of leadership experience managing engineering teams and manufacturing projects. Education Bachelor's Degree in Mechanical, Manufacturing, Industrial, Electrical Engineering, or related field required. Lean Manufacturing, Six Sigma, or TPM certification preferred. Knowledge, Skills and Abilities Strong knowledge of Injection Molding, Painting, Assembly, Automation, and Manufacturing Systems. Proficient in APQP, PFMEA, IATF 16949, Capacity Planning, Layout Design, and CAPEX Management. Proven ability to lead manufacturing expansion, plant startup, and production transfer projects. Strong financial and business acumen with experience in budgeting, CAPEX justification and ROI analysis. PI077baa675ae9-0326

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).

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Software Engineering Job Code: 39185 Job Location: Anaheim, CA Schedule: 9/80 JOB DESCRIPTION: L3Harris Maritime Power & Energy Solutions (MPES) has an opening in the software engineering organization within its Maritime Systems sector site located in Anaheim, CA. Under general direction of the Management of Software Engineering, this position develops and applies advanced software engineering methods in the investigation and solution of complex and advanced technical problems power system architectures and power conversion equipment. The Senior Software Engineer shall lead software engineer team to support for all stages of product development from design through implementation and system integration under minimal supervision. ESSENTIAL DUTIES Interpret customer specification to define requirements for software design. Capture and document existing software product to meet qualification standards at highly regulated and safety critical government contracts. Provide software technical leadership for the software developer team members. Reviews project progress and helps in earned value reporting. Recommends corrections in technical approach to maximize efficiency of engineering resources. Proactively seek performance improvement/enhancement for the SW team with DevSecOp assisted automation and streamlining. Support new programs from conceptual design, through detail design to completion. Responsible to lead and operate Agile sprint/Kanban team, sprint planning, Jira ticket-based workflow management, and tracking toward team deliverable objectives. QUALIFICATIONS Bachelor of Science degree in Computer Engineering, Computer Science, Electrical Engineering, or equivalent from a four-year college or university; and minimum 6 years of experience in design and analysis of systems software for power conversion equipment. Master of Science or advanced degree preferred and a minimum of 4 years of prior related experience. Or in lieu of a degree, minimum of 10 years of prior related experience. Ability to obtain and maintain a secret/security clearance. Expertise in embedded real-time systems software design. Experienced in object and service-based software architectures, a plus. Experienced in embedded C and C++ programming. Expertise with communication protocols, such as RS-232, RS-485, and Ethernet. Proven effective communication with Senior Project Management and customer representatives is essential. Preferred Additional Skills: Experience in development and releasing software products meeting highly regulated and safety critical standards, medical or military grade software product, preferred. Design familiarity with control systems and power conversion concepts is highly preferred. Knowledge of power electronics and analog circuits, a plus. Must be able to work as a key member of the design team with Power Design Engineers, Digital and Analog Engineers, System Engineers, Control System Engineers and Mechanical Engineers Knowledge of Python or C-Sharp is beneficial. In compliance with pay transparency requirements, the salary range for this role for California is $122,500- 177,500. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements. L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

Sr. Lead, Machine Learning Engineer (Enterprise Platforms Technology) As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. Enterprise Platforms Technology (EPTech) comprises many of Capital One's most important enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company, while also delivering capabilities that exemplify those practices. 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 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).

Date Posted: 2026-08-04 Country: United States of America Location: US-MA-MARLBOROUGH-MA2 1001 Boston Post Rd BLDG 2 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: The ability to obtain and maintain a U.S. government issued security clearance is required. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: DoD Clearance: Secret Security Clearance Status: Active and existing security clearance required after day 1 Raytheon Company, Managed by Collins Aerospace Collins Aerospace, an RTX company, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio, and expertise to solve customers' toughest challenges and to meet the demands of a rapidly evolving global market. The Strategic Communications team is seeking experienced Senior Systems Engineers in a role committed to creating creative and cost-effective solutions for our ground and airborne systems. As part of Collins Aerospace, Mission Systems organization, we specialize in developing advanced communication systems, ground and flight computers, sensors, cyber and software solutions, as well as providing integration of Mission Systems. As part of the Strategic Communications Department, the Systems Engineering department supports a variety of communications systems including SATCOM (including AEHF, EHF, X-Band, Ka-Band, Ku-Band, C-Band, and PTW), Line-of-Site (LOS) Radio Terminals and Secure Switching Networks. What You Will Do • Lead the development of full lifecycle solutions from CONOPS to Validation • Define and perform lab activities including definition, setup, configuration management, and testing • Integrate solutions within their target environment • Coach and review the work of lower level professionals • Influence others regarding policies, practices, and procedures • Manage small projects or processes • Manage the preparation and/or execution of Design Reviews as well as Integration, Dry Run, and Formal Qualification Testing • Review minor and document moderate changes in systems or processes to solve difficult and sometimes complex problems • Influence decision-makers with recommended courses of action • Analyze and document system behaviors • Support system trade studies, requirements analysis, allocation to subsystems • Define Modeling, Hardware, and Software Interfaces Sign-on Bonus Eligible Qualifications You Must Have • Strong integration and test experience including test procedure development, test execution, test reporting, and test automation • Proficient in tooling to include Microsoft products, or tasking boards (Jira, IBM EWM, etc.) • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and minimum 5 years prior relevant experience or an Advanced Degree in a related field and minimum 3 years of experience Qualifications We Prefer • Experience in Communication Radio and Systems: SATCOM, LOS/BLOS, AEHF, PTW, or V/UHF • Experience in Environmental Qualification Testing (EQT) • Experience in System Level Integration, Verification, and Validation (IV&V) for ground based, ship, submarine, or airborne platforms • Experience in systems support to software application and hardware development • Experience in Virtual Machine design and deployment • Proficient in tooling to include CAMEO, Rhapsody • Outstanding communication skills (written, verbal, and presentation) and ability to effectively communicate with IPT leaders, hardware and software development engineers, specialty engineers, program managers, and our customers What We Offer • Medical, dental, and vision insurance • Three weeks of vacation for newly hired employees • Generous 401(k) plan that includes employer matching funds and separate employer retirement contribution, including a Lifetime Income Strategy option • Tuition reimbursement program • Student Loan Repayment Program • Life insurance and disability coverage • Optional coverages you can buy pet insurance, home and auto insurance, additional life and accident insurance, critical illness insurance, group legal, ID theft protection • Birth, adoption, parental leave benefits • Ovia Health, fertility, and family planning • Adoption Assistance • Autism Benefit • Employee Assistance Plan, including up to 10 free counseling sessions • Healthy You Incentives, wellness rewards program • Doctor on Demand, virtual doctor visits • Bright Horizons, child and elder care services • Teladoc Medical Experts, second opinion program • This position is eligible for relocation assistance • And more! Learn More & Apply Now! Do you want to be a part of something bigger? A team whose impact stretches across the world, and even beyond? At Collins Aerospace, our Mission Systems team helps civilian, military and government customers complete their most complex missions - whatever and wherever they may be. Our customers depend on us for intelligent and secure communications, missionized systems for specialized aircraft and spacecraft and collaborative space solutions. By joining our team, you'll have your own critical part to play in ensuring our customer succeeds today while anticipating their needs for tomorrow. Are you up for the challenge? Join our mission today. Please ensure the role type (defined below) is appropriate for your needs before applying to this role. ONSITE: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance employees, as they are essential to the development of our products. At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other propel us all higher, again and again. Apply now and be part of the team that's redefining aerospace, every day. Employee Referral Eligible As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customers' mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do. L3Harris is the Trusted Disruptor in defense tech. With customers' mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security. Job Title: Senior Specialist, Manufacturing Engineer Job ID: 40744 Job Location: Orange, VA Job Schedule: 4/10: Employees work 10 hour days, 4 days a week Job Description: L3Harris Technologies is seeking a Senior Specialist, Manufacturing Engineer at the L3Harris Missile Solutions Segment's Orange, VA site. Our site is near Culpeper, VA , in beautiful, rural Orange County (1.5 hours from Washington, DC)! This site is our center of excellence for Solid Rocket Motor Propulsion and Energetics development as well as high-complexity production programs. Reporting to the Manager of Manufacturing Engineering, this position works within a matrixed organization alongside operations, quality engineering, design engineering, and program management to support manufacturing activities. This role will focus on improving, automating, and growing existing production lines, reducing Cost of Poor Quality (CoPQ), and driving manufacturing improvement projects. Working under general direction and oversight, the Lead Manufacturing Engineer performs manufacturing engineering assignments that require comprehensive knowledge and understanding of job area, principles, theories, and concepts in the field. This position will coordinate and lead signification improvement projects that have measureable impact across multiple programs. Essential Functions: Advanced knowledge of machining and fabrication principles including CNC programing, Design for Machining (DFM), and equipment operation. Direction of lower level manufacturing engineering staff and the guidance/support of other disciplines to develop novel solutions. Knowledge and skill development of novice manufacturing engineers. Direct process responsibilities include modernization and automation of production facilities; defect identification, resolution, and root cause investigations; Statistical Process Control (SPC) monitoring; and continuous improvement activities. This includes the maintenance and development of detailed process instructions based upon technical drawings and specifications, Process Failure Mode Effects Analyses (PFMEAs), Manufacturing Bill of Materials (MBOMs), Process Hazard Analyses (PHA), and Job Safety Analyses (JSA). Demonstrate process ownership of established manufacturing activities by utilizing systematic tools to determine root cause, implement process improvements to increase operating efficiency, and ensure process conformance to safety and quality standards. Support process tooling development, design reviews, implementation into manufacturing processes, and the required safety reviews. Support energetic assembly, machining, and manufacturing operations. Travel may be required up to 5% of time. Ability to obtain a US security clearance. Qualifications: Bachelor's Degree in Mechanical, Aerospace, Chemical Engineering, or similar and m inimum 6 years of prior relavant Engineering experience. Graduate Degree in Mechanical, Aerospace, Chemical Engineering, or similar and a minimum of 4 years of prior related experience. In lieu of a degree, minimum 10 years of prior related experience Preferred Additional Skills: Strong problem solving and written/verbal communication skills Experience interpreting technical requirements from drawings and specifications Experience in a manufacturing and fabrication environment Proven experience driving high level impact projects In compliance with pay transparency requirements, the salary range for this role in Virginia is $84,000 - $156,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including relocation stipend, 401(k), EAP, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law. Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information. By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions. L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.

Lead Machine Learning Engineer (Manager IC) At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent along with our deep experience in machine learning position us to be at the forefront of enterprises leveraging AI. 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 continuing to build world-class applied science and engineering teams to deliver 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 exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our GRC team and partners across the company to build and deploy proprietary solutions for Risk management that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. 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: Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. Fine-tune, develop and evaluate machine learning and foundation models, Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. Leverage a broad stack of Open Source and SaaS AI technologies. Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. Retrain, maintain, and monitor models in production. Construct optimized data pipelines to feed ML models. 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. The Ideal Candidate: You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: Bachelor's Degree At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) At least 4 years of experience programming with Python, Scala, or Java At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: Master's or Doctoral Degree in computer science, electrical engineering, mathematics, or a similar field 7+ years of experience designing, developing, delivering, and supporting AI services at scale 3+ years of experience building production-ready data pipelines that feed ML models 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow 3+ years of experience developing AI and ML algorithms or technologies using Python 2+ years of experience with Retrieval Augmented Generation (RAG) 2+ years of experience with data gathering and preparation for ML models 2+ years of people leader experience 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion 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 At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $197,300 - $225,100 for Lead Machine Learning Engineer McLean, VA: $197,300 - $225,100 for Lead Machine Learning Engineer Richmond, VA: $179,400 - $204,700 for Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace . click apply for full job details

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).

Engineering Manager Position Summary Position: Engineering Manager Company: Chicago Metallic Location: 1502 N. Central Avenue This position is on-site in Humboldt, TN The Engineering Manager is responsible for leading the engineering, maintenance, and tool room functions to support safe, efficient, and reliable manufacturing operations. This position oversees the optimization of manufacturing processes, maintenance of production equipment and stamping dies, and execution of capital improvement projects to ensure production schedules, quality standards, and business objectives are achieved. Reporting directly to the Plant Manager, the Engineering Manager provides leadership and supervision to mechanical design engineers, engineering technicians, maintenance personnel, and Tool Room employees. The Engineering Manager plans and manages capital projects from concept through implementation, including budgeting, resource allocation, project scheduling, vendor coordination, documentation, and communication with stakeholders. The position ensures new equipment and processes are designed, installed, and commissioned in compliance with safety, quality, and operational requirements. This position serves as the technical leader for industrial controls, automation, and robotic systems. Responsibilities include the development, implementation, and continuous improvement of control systems that enhance equipment safety, production efficiency, and reliability. The Engineering Manager oversees the design, development, maintenance, and troubleshooting of stamping dies while leading root cause investigations and implementing corrective actions. The position also manages the Tool Room, including scheduling, staffing, training, and daily operations involving manual and CNC machining equipment. The Engineering Manager provides leadership and technical development for technicians responsible for CNC programming, machining, and tooling support. Additionally, the Engineering Manager is responsible for planning and directing both preventive and corrective maintenance activities for production equipment to maximize equipment uptime and overall equipment effectiveness. Primary Duties and Responsibilities include the following: Supervise, mentor, and develop a team of engineers, machinist, and maintenance technicians. Allocate resources effectively, including personnel, equipment, and materials, to support production and project goals. Ensure all existing and new equipment and systems meet OSHA and manufacturer standards for safe operation. Develop and manage Capital Expense and preventative maintenance project budgets, ensuring safety, quality and efficiency targets are met Plan, execute, and lead industrial engineering projects, ensuring they are completed on time and within budget Drive a culture of continuous improvement by identifying and implementing best practices and innovative solutions Supervise development of new stamping dies to support new product introduction, and troubleshoot existing dies to support production. Supervise Tool Room by scheduling work, and developing the capabilities of the organization. Ensure all equipment operates properly to deliver products and processes to meet Quality standards. Effectively communicate project progress, issues, and recommendations to stakeholders, including upper management and clients Analyze complex engineering problems and develop effective solutions Ensure adherence to company policies, procedures, and safety regulations Qualifications, Knowledge and Skills: Bachelor's degree in Industrial Engineering or a related field, or sufficient years of experience to meet the job duties and responsibilities. Proven experience in industrial engineering, with a focus on process optimization and project management in a metal stamping environment preferred. Ability to understand drawings and schematics to troubleshoot equipment and system. Knowledge of industrial controls including programmable logic controllers (Allen Bradley PLC and Fanuc robots preferred) Knowledge of equipment programable logic control devices. Strong leadership and team management skills. Excellent communication and interpersonal skills. Proficiency in relevant software and tools, such as CAD (SolidWorks preferred), CNC programming (Mastercam preferred), data analysis tools, and preventative maintenance software (Upkeep preferred). Knowledge of lean manufacturing principles and six sigma methodologies Ability to work effectively in a fast-paced, dynamic environment Strong problem solving and analytical skills PI2d68af518c46-8540