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Job Description STR is looking for a GNC Algorithms expert to be part of a multidisciplinary team of researchers and engineers dedicated to developing cutting-edge technologies with significant and immediate impact on our national security. We believe that each employee has a unique set of skills, experiences, and perspectives that are essential to providing our customers with innovative solutions to difficult national security challenges. Our culture takes pride in developing impactful technologies through collaborative teamwork while maintaining the highest standards of craftsmanship and quality. We are looking for a GNC Engineer with versatile skills in aerospace guidance, navigation and control systems technology. Areas of particular interest includes advanced filtering and estimation techniques, flight control system design, and/or aerospace systems modeling. A successful candidate will join a team of algorithm and software developers in a fast-paced and results-driven prototyping environment. We encourage applicants who are proficient at programming in at least one high-level programming language (e.g. C/C++, Python and/or MATLAB) for building models and algorithmic technologies in support of system analysis and development. In our view, the development of these models and technologies is benefited by sound understanding and hands-on experience with implementing guidance and control systems hardware. What you will do: • Developing advanced control system algorithms for aerospace applications, • Developing algorithms for sensor and system research and threat analysis, • Developing and analyzing aerospace GNC systems, including both hardware and software, • Implementing models and algorithms in in Python, C/C++, and/or MATLAB, • Working in small teams of highly skilled developers in the above areas, • Participating in laboratory and field tests to collect and analyze experimental data to support the verification, validation, and improvement of technical solutions, • This position requires an Active Top Secret security clearance, for which U.S. citizenship is needed by U.S. Government., • M.S. in Aerospace, Mechanical or Electrical Engineering, Physics, Mathematics, Computer Science, or related field, or B.S. + 3 years equivalent experience, • Proficiency in C/C++, Python and/or MATLAB, • Experience in implementing aerospace control algorithms, filters and models, • Familiarity with software build and scripting tools, CI/CD development practices, • Understanding of orbital and flight dynamics and modeling of such systems, • Experience with Kalman filtering and related techniques, • Experience using collaborative source code management tools (Git, Subversion), • Experience building, operating and analyzing GNSS systems STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job DescriptionThe Elevator Pitch As Evolv’s Principal Electrical Engineer, you’ll define the technical direction for our most complex products. You’ll be the organization’s top electrical engineering authority, trusted to solve problems no one else can, and to make high impact design decisions that shape our technology roadmap. You’ll lead by example, mentoring a team of talented engineers, raising the technical bar, and ensuring every design meets the highest standards of performance, reliability, and manufacturability. Your deep expertise in RF, mixed-signal, digital, and low-noise PCB design will guide the development of systems that push the boundaries of innovation and deliver exceptional value to our customers. If you excel at seeing the big picture while diving into the most intricate technical challenges, and you’re also ready to have a direct, visible impact on our products and our business, then this is your role. Success in the Role: What are the performance outcomes over the first 6-12 months you will work toward completing? In the first 30 days, you will: • Establish working relationships across Engineering, Manufacturing, Technical Support, and Field Service., • Develop a full understanding of Evolv’s products, workflows, and hardware development roadmap., • Participate in product builds at Contract Manufacturing partners and observe at least one customer installation., • Become recognized as the primary technical authority for complex electrical engineering challenges., • Lead design work on high-priority projects, delivering solutions to critical technical problems., • Partner with quality and manufacturing to improve product yield and reliability through targeted design changes., • Conduct and lead schematic and printed circuit board design reviews, reducing production risk., • Set and maintain technical standards for electrical engineering across all projects., • Deliver measurable contributions to key program milestones and the technology roadmap., • Implement at least two process or tool improvements that shorten design cycles or improve product quality., • Mentor and coach team members, raising overall technical capability., • Close identified gaps in design-for-manufacturing, design-for-test, and design-for-serviceability practices, reducing lifecycle costs. The Work: What type of work will you be doing? What assignments, requirements, or skills will you be performing on a regular basis? • Work across engineering functions to architect, design, and help direct the execution of assigned projects., • Work cross-functionally (product, manufacturing, regulatory, service and quality) to develop system architecture, specifications, verification testing, and troubleshooting, • Work within engineering to translate product requirements (PRDs) into design specifications for assigned projects., • Hands-on design of electronics that successfully integrate with electromechanical and software subsystems., • Mastery in contemporary tools for simulation, CAD, analysis, and documentation., • Contribute to detailed electrical and firmware design, including analog, digital, power supply, power electronics, timing and PLLs, and low-noise PCB design., • Create and maintain test protocols for design verification and validation activities as required., • Oversee the execution of testing to prescribed protocols, documenting results and creating final reports for assigned projects., • Create and maintain a traceability matrix between requirements, design, specifications, and testing for assigned projects., • Work with the Product Management team to define and execute system integration activities and usability studies within projects., • Prepare, present, and participate in comprehensive technical and/or design reviews. What is the leadership like for this role? What is the structure and culture of the team? You will join the R&D team, be a key member of the Electrical Engineering team, and report to the Electrical Engineering Manager. The R&D organization comprises more than 60 dedicated developers and managers with deep expertise who are always willing to help. Leadership at Evolv lives our values: doing the right thing, putting people first, owning results, winning together, and being bold while staying curious. You’ll be supported by leaders who set a clear vision, foster collaboration, and empower you to do your best work. Compensation and Transparency Statement The base salary range for this full-time position is $135,000 – $215,000. In addition to base salary, this role offers a competitive target bonus, equity, and a comprehensive benefits package. This range reflects our commitment to pay transparency and equity, in alignment with applicable state laws. Our compensation ranges are determined based on factors such as role, level, location, market benchmarks, and internal equity. The posted range represents the good-faith estimate of what we expect to pay for this role across U.S. locations. Actual compensation within the range will be based on the candidate’s skills, experience, education, and geographic location. In accordance with state and local pay transparency laws—including those in California, Colorado, Massachusetts, New York, New Jersey, and others—we disclose salary ranges in all job postings and provide additional information upon request. During the hiring process, your recruiter will share: • The specific salary range for your preferred location, • A general overview of our benefits and equity offerings, • Insights into how compensation decisions are made, including factors that influence starting pay We are committed to fair pay practices, and we regularly review our compensation programs to ensure they are competitive, equitable, and aligned with our values. Where is the role located? This role is based in Waltham, MA, with flexibility in being remote some days Benefits At Evolv, we’re on a mission to help make public spaces safer through innovative security technology. So, we're looking for future teammates who embody our values, people who: • Do the right thing, always;, • Put people first', • Own it;, • Win together; and continue to, • Be bold, stay curious. Our Benefits Include: • Equity as part of your total compensation package, • Medical, dental, and vision insurance, • Health Savings Account (HSA), • A 401(k) plan (and 2% company match), • Flexible Paid Time Off (PTO)- take the time you need to recharge, with manager approval and business needs in mind, • Quarterly stipend for perks and benefits that matter most to you, • Tuition reimbursement to support your ongoing learning and development Evolv is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. If you need a reasonable accommodation as part of the job application process, please connect with us at . Evolv participates in E-verify for all employees after the completion of Form I-9.

Job Description Machine Learning Computer Vision MS/PhD Summer Internship Join STR's Video & Image Understanding (VIU) Group as a summer intern to develop and apply deep learning or reinforcement learning techniques to solve challenging problems in computer vision, situational awareness and autonomous control. We tackle problems that have not been previously addressed by academic and industry research communities. The VIU Group is part of STR's Intelligence Division, which develops and applies state-of-the-art information processing techniques to produce robust, scalable solutions for intelligence analysts and military decision makers. STR staff drive our success with their hard work, talent, and ingenuity. Join us this summer and help develop meaningful solutions to challenging, real-world problems which enhance our nation's security. Job Description: • You will work as part of a project team with focused mentorship from experienced staff., • You will adapt, extend and optimize innovative machine learning algorithms for solving challenging computer vision or autonomy problems., • You will collaborate with STR research engineers as well as academic researchers, who are often part of our team, to develop practical and powerful machine learning and computer vision solutions., • Enrollment in an MS or PhD degree program in Computer Science, Electrical Engineering, Applied Mathematics or related technical discipline., • Successful track record of applying machine learning algorithms, such as deep learning or reinforcement learning, to computer vision or autonomy problems., • Strong academic record and interest in research., • Competitive pay, • Housing stipend, • Flexibility/work-life balance, • Vibrant community with fun summer activities inside and outside the office, • Intern seminars and tech talks, • Strong track record of interns returning for subsequent summers and future full-time employment. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description COMPANY: Our client is one of the largest and most trusted fire, security, and integration solutions company in the country. For over 40 years, they have led the industry servicing enterprise, healthcare, education, government, data center, and retail verticals. Their continued technology innovation has transformed the expectation customers have about safety, security, and communication. With over 20 acquisitions and more to come in 2025, they have big workforce growth goals throughout the country leading to an exciting time to join the team. JOB: We are currently looking for a Bid-Market Closer to help build the Greater Boston area by uncovering, closing, and managing new construction/retrofit projects focused on fire alarm, security, and integration systems in the bid specifications. This person will serve as point of contact to really develop and nurture relationships with electrical and general contractors, as well as engineers/architects to grow the business. The right person for this role will be able to interpret technical drawings for the engineering/operations teams, proven track record of building a book of relationships in a territory, and is well-versed in low voltage fire security. This is an excellent opportunity for someone coming from the industry to impact the growth of one of the most recognized fire and security companies in the country. QUALIFICATIONS • 5+ years of territory sales experience, preferably in the commercial development industry, • Project Management and Engineering experience in fire protection is a great substitute for lack of sales experience, • 5+ years establishing a client base with proven successful history of relationship development, lead generation and selling design concepts/ideas, • Bid Market experience, • Reliable transportation and ability to travel throughout territory, • Fire and safety experience, specifically low voltage, • NICET certification is a plus, • Must reside in the New England Region BENEFITS: • $100-125k base depending on experience, • Quarterly commissions and bonuses, • Mileage reimbursement program, • MDV Benefits, • PTO and Holidays, • Opportunity to work for one of the biggest and well-known companies in the industry

Job Description STR is hiring a Software Engineer to join our multidisciplinary cyber/networking team committed to developing cutting-edge technologies that have an immediate and significant impact on our national security. Our team innovates communications technology across all networking layers, from the physical to the application layer. We value diverse skills, experiences, and perspectives, which are vital to delivering innovative solutions to our customers. If any of the skills below align with your expertise, we encourage you to apply! Job Overview: A successful candidate will possess experience in software engineering, integration and testing, and networking concepts and protocols, with a strong passion for results-driven development on Linux systems. This candidate will bring a versatile skill set in computer science, software architecture, and practical software development, testing, and documentation. The ideal Software Engineer is intellectually curious, motivated, and thrives in a team-based environment focused on rapid prototyping and delivering impactful solutions. This is an exciting opportunity to work in a high-profile, fast-paced, yet structured development environment alongside a diverse and talented team. In this role, you will design, implement, and test software that enhances advanced real-time data communications and networking solutions using open systems principles. We aim for the highest standards of quality, maintainability, and reuse in our tools and techniques. Therefore, experience with sound software engineering principles and testing methodologies is crucial. What you will do: • Collaborate closely with a small, dedicated research team to develop innovative solutions to complex problems, • Execute assigned tasks and report overall status to project leadership, • Develop and test novel software solutions spanning research, development, and deployed production systems, • Identify creative and innovative approaches to open-ended problems, • Deliver high-quality software in a rapid-paced team environment, • Develop operational prototypes for experimentation and performance analysis, • This position requires the ability to obtain a Top Secret (TS) security clearance, for which U.S. citizenship is required by the U.S. Government., • Proficient in Python, C, C++, or similar interpreted or low-level programming languages, • Familiar with rapid prototyping design methodologies and open architectures, • Someone with a working knowledge of software testing and evaluation best practices, • Experience developing software with GNU/Linux toolchains using open-source software, • Understanding of the 5-layer OSI networking stack, • Strong team player with excellent communication skills, • Active Top Secret (TS) Security Clearance, • Proficiency in Python, MATLAB, and other high-level programming languages, • Experience in building, deploying, and maintaining robust and stable software, • Experience writing software within a large multi-party codebase, • Experience working in a laboratory environment performing quantitative data analysis, • Familiarity with multi-threaded or multi-core real-time operating concepts, • Knowledge of high-level software architecture design STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description STR is hiring an Emulation Tooling and Modeling Software Engineer to be part of a multidisciplinary team of researchers and engineers dedicated to developing cutting-edge technologies with significant and immediate impact on our national security. This position offers an excellent opportunity to work at the nexus of computers and real-world physical systems. We believe that each employee has a unique set of skills, experiences, and perspectives that are essential to providing our customers with innovative solutions. The skills listed below are representative of those needed for this role but are not the only acceptable set. If you see an overlap with your skills, go ahead and apply! The Emulation Tooling and Modeling Software Engineer must be proficient in one or more of the high-level languages (C/C++, Python) used for building the underlying tools that support the development of emulation models of complex cyber physical systems. Successful candidates will have experience in reverse engineering of embedded instruction set architectures (e.g., ARM, PPC) and a desire to develop required emulator tooling across a diverse class of targets of interest. The ability to develop tools such as operating system handlers, bare metal firmware emulation, and virtual device simulation are key to support the emulation of representative signal processing and control systems components and algorithms. Such components will be prototyped with time and event-driven simulations and implemented on real-time hardware systems. The Emulation Tooling and Modeling Software Engineer will also support model development for sensors, actuators, dynamics and environmental factors from first principles, measured data, available documentation/literature and hardware/software artifacts. The quality and validity of the models are ensured using unit testing and effective operation after integrating the modules into larger system simulations. Knowledge and experience developing modular code compliant with well-defined component message/protocol interfaces is highly relevant. Models often include both hardware and software elements, and experience working at the software/hardware interface (e.g., serial, USB, data acquisition subsystems and device drivers) is particularly useful. What you will do: • Working as part of a small, focused team to architect, develop, implement, and test applications featuring modular software design principles, • Developing bare metal emulators in C/C++, Python as well as unit tests for verification of capabilities, • Developing emulator capabilities and unit tests to increase overall feature capabilities to develop advanced models, • Implementing component models in Python/C/C++, and integrating models into system-level simulations with software processing chains, including development of unit-level and system-level tests and verification, • Developing integrated models using virtualization tools (e.g., QEMU, Docker), that are networked together, and launched using scripting tools (e.g. bash, python), • This position requires an Active Secret security clearance with eligibility for Top Secret (TS) clearance, for which U.S. citizenship is needed by U.S. Government., • Proficiency in C/C++ and Python, • Familiarity with virtualization tools (e.g. Docker, QEMU), • Strong grasp of emulation principles, computer architecture, and software engineering principles, • Experience working with hardware components and interfaces., • Active Top Secret (TS) Security Clearance, • Familiarity with network architectures and protocols, • Implant or software patch development STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description The Building Engineer is responsible for the day-to-day maintenance, operation, and repair of all facility equipment and building systems at our Woburn, MA site. This role ensures the facility remains operational, safe, compliant, and comfortable for employees and visitors. The Building Engineer will support facilities initiatives, emergency response activities, small project management efforts, and will play a key role in developing and maintaining a robust preventative maintenance (PM) program. This position is onsite full-time at our Woburn offices. Key Responsibilities • Operate, maintain, and repair mechanical, electrical, plumbing, HVAC, fire protection, and structural systems., • Establish, implement, and maintain a comprehensive preventative maintenance (PM) program to proactively service and extend the life of all critical building systems and infrastructure., • Track PM schedules and performance through a computerized maintenance management system (CMMS), ensuring timely and documented execution of all routine tasks., • Identify trends and recurring issues through PM data to improve system reliability and inform capital planning., • Conduct regular facility inspections and provide status reports on equipment conditions, upcoming maintenance needs, and potential risks., • Respond to facilities service requests and emergencies, including after-hours incidents., • Ensure all PM tasks meet manufacturer recommendations and comply with regulatory requirements and internal standards., • Monitor and ensure compliance with local, state, and federal safety regulations and building codes., • Manage small facility improvement and construction projects—including office renovations, lab fit-outs, and equipment upgrades—from planning through execution., • Coordinate with vendors, contractors, and other service providers to perform scheduled and corrective maintenance., • Support the implementation of energy efficiency and sustainability initiatives., • Act as a Health & Safety Liaison during emergency situations (e.g., severe weather, fire, security events)., • Provide facilities support for DoD secure infrastructure, ensuring classified areas meet operational requirements., • Bachelor's degree in Facilities Management, Mechanical/Electrical Engineering, or related field (or equivalent work experience)., • 5–7 years of experience in facilities operations, building maintenance, or engineering roles, with direct experience managing preventative maintenance programs., • Strong knowledge of building systems (HVAC, electrical, fire protection, structural)., • Familiarity with NFPA, NEC, ASHRAE standards, and state/local building codes., • Proficiency with Microsoft Office Suite, AutoCAD, MS Project, and CMMS platforms., • Ability to manage physical work requirements (lifting to 50 lbs., climbing ladders, standing for extended periods)., • Strong organizational, communication, and interpersonal skills., • Ability to work independently and in a team in a fast-paced environment. Preferred Qualifications • OSHA 10 or OSHA 30 certification., • Security clearance (active or eligible)., • Experience managing facilities in a DoD secure environment. At STR, we believe in creating a workplace where our employees feel valued, supported, and connected while contributing to challenging and meaningful work. In addition to the traditional health and welfare benefits, we offer a variety of perks to enhance your experience, such as the following: • Generous paid time off offerings and paid parental leave, • Fitness reimbursement up to $299 for gym memberships, yoga studios, or similar plus an additional Blue Cross Blue Shield fitness reimbursement of up to $300, • Complimentary Company swag and regular employee events such as summer food truck lunches, summer outing, winter soiree, and bi-monthly happy hours (with STR-covered appetizers), • Complimentary snacks, cold brew/coffee, and weekly Bagel Fridays, • 4% company match and 6% profit sharing through the 401k program, • Complimentary Identity Theft protection STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description Cyber Summer Internship Are you someone who is motivated and excited to learn and grow your skillset this summer all while having an impact on national security? While doing so, do you want to collaborate with other researchers, scientists, and engineers in your field of study? Do you want to work with people that you can learn from and gain new skills? If you said 'yes' to any of these questions, then a summer internship at STR is the internship for you! Our employees are the reason we have been successful in the past and the reason we will be successful in the future. Employee skills, talents, and work ethic are essential to our success. Join us this summer for the chance to work on something meaningful and challenging. You'll be paired with a mentor and get the chance to work on projects with our staff and solve hard problems to enhance our nation's security. Job Description: • Students will work as part of project teams with mentorship from experienced staff, • Collaborate with technical experts to solve problems related to cyber security, cyber vulnerability research, software system design, signal processing, image/video processing, machine learning, statistical estimation, and optimization, • Support all phases of projects:, • Problem design, • Solution discovery, • Development of prototype algorithms and systems in software and/or hardware, • Experimentation and data analysis, • System implementation integration for test and fielded systems, • Enrollment in a BS, MS or PhD degree program in electrical engineering, computer science, physics, mathematics, or related technical discipline, • Strong academic record and interest in research, • Competitive pay, • Free housing at a local university, • Flexible Working Hours, • Fun summer activities both inside and outside the office STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description About the Team: The Sensors Division within STR focuses on the development and analysis of advanced sensor systems in the RF, acoustic, and electro-optical domains. This includes the design and development of novel sensors and advanced information processing techniques from ideation to prototype implementations. The Undersea Systems and Acoustics (USA) Group develops and delivers advanced undersea sensor and signal processing systems related to intelligence, surveillance, and reconnaissance (ISR) and counter-ISR applications. The Role: The USA Group is hiring a Lead Undersea Acoustic System Engineer who can apply extensive hands-on expertise to lead the design, development, integration, and testing of advanced acoustic systems similar to active sonars, acoustic localization systems, sonar-testing echo-repeaters, acoustic modems, uncrewed vehicle passive detection and tracking systems, and/or acoustic counter-measures. As a Lead Undersea Acoustic System Engineer, you will lead cross-functional engineering teams responsible for fielding first-of-a-kind innovative prototype systems that generally include acoustic sensor arrays, sources, embedded processing hardware, power systems, and platforms. Developing such systems often involves early trade studies and designs that progressively lead to subsystem testing in the laboratory and then to prototype field testing in the ocean. This progression requires an understanding of the signal processing and algorithms fundamental to real-time acoustic systems as well as the expertise to design, implement, integrate, and test complex undersea hardware systems that deliver those algorithmic and system concepts. While depth in all areas is not necessary, breadth of expertise across mechanical, electrical, embedded signal processing, and ocean engineering is necessary. To that end, a successful candidate is expected to have experience with simulation and analysis of undersea systems (acoustic, thermal, electrical, mechanical), experience implementing and integrating undersea systems, knowledge of ocean engineering best-practices, hands-on laboratory and field test planning and execution, and experience with rapid prototyping. The expectation is that you can harness this breadth of experience to get from a system concept to a system in the water implementing processing algorithms in real time. Strong technical, interpersonal, communication, and technical leadership skills are also expected. What you will do: Technical Leadership and Innovation: • Apply advanced knowledge of undersea system domains (acoustic, mechanical, electrical, thermal) to define, develop, and validate novel solutions to complex and broad problems, • Lead the conceptualization, analysis, design, and development phases of new undersea technical solutions (algorithms, processing, test approaches, system or mechanical designs, etc.), • Lead and manage moderate size engineering teams (5-10 engineers) through complete project lifecycles including task definition, delegation, and progress tracking, • Oversee, software, hardware, and system design reviews, ensuring adherence to best practices and requirements, • Proactively evaluate and adopt cutting-edge tools, methods, and processes to enhance engineering outcomes, • Initiate and lead cross-disciplinary collaborations, identifying opportunities across diverse technical domains, stakeholders, other projects, and customer bases, • Clearly communicate complex concepts, vision, and strategy through technical presentations and reports to diverse stakeholders, ensuring alignment and understanding at all organizational levels, • PhD, MS with 5+ years, or BS with 7+ years of relevant technical experience in underwater acoustics, ocean engineering, electrical engineering, mechanical engineering, applied physics, or related field, • Ability to obtain and maintain a TOP SECRET clearance, for which U.S. citizenship is needed by the U.S. Government, • Demonstrated expertise in developing undersea electro-mechanical systems, • Experience with undersea acoustics and sonar processing chains, • Proven ability to lead and manage engineering teams through complete project lifecycles, • Strong technical, interpersonal, and communication skills, • Proficient at technical writing, • Ability to interact with technical and non-technical customers and external teammates to understand their technical issues, frame potential solutions, and develop collaborative projects, • Scientific curiosity and creativity, • Active security clearance, • Specific experience with developing low-latency, responsive acoustic systems such as active sonar systems, acoustic ranging/localization systems, echo-repeater testing systems, and/or acoustic counter-measures, • Experience using modeling and simulation to set system performance expectations for advanced undersea acoustic systems, • Experience interacting with U.S. Navy and other U.S. Government organizations and processes, • Knowledge of one or more of the following topic areas:, • Underwater acoustic propagation modeling; acoustic communications; UUV design, design tools, and component technology; architectures for unmanned systems; sensor, source, and array design (towed, conformal, drifting, or bottomed) STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description STR's Cyber Division is hiring a Hardware Engineer who will leverage their RF, analog/mixed signal and digital design skills to contribute to a multi-disciplinary team engaged in solving unique problems. The HW Engineer should be comfortable analyzing and characterizing a variety of hardware architectures to aid with software and hardware modeling efforts. The Engineer will use their hardware expertise to support both software and hardware reverse engineering tasks and should be comfortable communicating complex system details to an interdisciplinary team. We are seeking candidates with previous design experience to aid in developing Hardware in the Loop (HWIL) systems, surrogate builds, digital twins, and hardware modeling support platforms that integrate a variety of electrical subsystems from commercial of the shelf (COTS) components to custom board level implementations. The HW Engineer will also contribute to the design process of a growing hardware team by participating in design reviews, producing comprehensive design documentation, and directly collaborating within a team environment to ensure quality outputs and support for future design re-use. What you will do: • Collaborating with software reverse engineers and software modeling teams to enhance knowledge of system hardware architecture and focused processor implementations, • Utilizing hardware simulation tools to implement high fidelity models at the circuit/component level in software, • Developing lab-based acquisition and control platforms to aid in test and characterization of hardware systems, • Developing PCB based designs and implement FPGA and embedded software to support HWIL and surrogate design efforts, • This position requires an Active Secret security clearance with eligibility and willingness to upgrade to TS/SCI, for which U.S. citizenship is needed by the U.S. Government., • BS in Computer Engineering, Mechanical Engineering, Electrical Engineering, or related field with 2 years of related experience or a MS in a related field., • Experience debugging and characterizing circuits using standard lab equipment (oscilloscopes, logic analyzers, spectrum analyzers etc.), • Experience integrating software defined radios and RFSOC platforms, • Experience in a laboratory environment utilizing diagnostic and lab-based test equipment, • Active Top Secret (TS) Security Clearance with eligibility and willingness to upgrade to TS/SCI, • Familiarity with standard mixed signal, digital and RF circuit topologies and experience capturing design using industry standard schematic tools, • In depth knowledge of processor architectures and associated memory and peripheral interfaces, • Experience integrating and exercising processor/microcontroller in circuit debuggers and emulators, • Experience with Analog and RF circuit simulation and modeling tools (Spice, MATLAB/Simulink, Microwave Office, etc.), • Experience developing diagnostic and acquisition-based test platforms using LabVIEW/Labwindows CVI, • Knowledge of PCB design and fabrication principles and familiarity with industry standard CAD tools (Cadence, Altium, Eagle etc.), • Digital/FPGA HDL experience using dedicated design tools (Vivado, Quartus, Simulink/HDL Coder, etc.) STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description The Systems Development Division (SDD) delivers technology advantage into users' hands by delivering capabilities focused on end-customer needs that function in operationally relevant environments and timeframes. SDD considers the entire lifecycle of the solution, from conceptualization and architecting, through development, to deployment, while leveraging novel technologies to deliver first-of-a-kind systems. Current efforts include programs for airborne and space RF as well as advanced testing enabled by multi-function, multi-modal capabilities. SDD is seeking a Lead Embedded Software Engineer to support the design, development, and implementation of real-time processing solutions in software for advanced multi-function Radar systems. You will collaborate with fellow researchers and engineers on multi-disciplinary teams to develop innovative solutions related to exploration and demonstration of Radar and EW/RF convergence. In this role, you will identify and evaluate technical approaches, design and implement digital signal processing architectures, and have the opportunity to lead teams focused on delivering solutions over the complete signal processing chain for radar applications in various operational environments. You will conduct performance analysis through simulations and real-world testing to validate and optimize the products you create. Additionally, you will support efforts to evaluate current and future capabilities, identify improved applications and techniques, and ultimately recommend solutions. Since the systems SDD develops are deployed in operationally relevant environments, the products you develop need to meet standards of quality, maintainability, and reuse. This position will offer the opportunity for technical leadership, design, analysis, development, testing, and fielding of capabilities. The successful candidate will have demonstrated leadership skills and contributions in areas such as: radar, electronic warfare, digital signal processing, systems engineering, and test & evaluation. This position requires skills in working with multi-disciplinary teams, awareness of relevant technologies, and interest in developing and delivering systems in tight time-frames. Strong interpersonal, communication, and technical skills are required. Applicants are expected to be self-motivated, detail oriented and have a demonstrated ability to effectively communicate. What you will do: • Support and/or lead development of innovative radar/EW systems through implementation of digital signal processing (DSP), • Architect, design, direct, and implement cutting-edge embedded software in multi-function, deliverable/deployable systems, • Collaborate with cross-functional teams to understand and/or develop system requirements and specifications, • Research, understand, and lead new embedded software implementations. Identifying new technical approaches and working with leadership to create/refine technology/product roadmaps, • Effectively use tools to create, evaluate, and document solutions and clearly communicate the solution to the team, STR management and customers, • Design and implement signal processing and software solutions, • Conduct performance analysis through simulations and real-world testing to validate and optimize system performance, • Prepare documentation, design specifications, test plans, and reports, • This position requires an Active SECRET security clearance with eligibility to obtain a Top Secret (TS) security clearance, for which U.S. citizenship is needed by the U.S. Government, • Demonstrated expertise implementing real-time signal processing solutions in C++ (C++17 or later), • Demonstrated knowledge of digital signal processing, • Applicable understanding of and experience with Radar systems and their principles of design, development, requirements verification, test planning, test execution, and data analysis, • Experience with algorithm implementation in software for real time systems, especially radar and/or remote sensing, • Experience with Xilinx MPSoC and/or RFSoC platforms, • Experience in preparing and delivering briefings, familiarity with the execution of technical reviews (SRRs, PDRs, CDRs, TIMS), • Capable of working in a team environment and interacting with team members to ensure effective communication and alignment including mentoring of junior engineers, • CUDA experience, • Expertise in radar simulation tools (MATLAB), • Active Top Secret clearance, • Applicable knowledge of target detection STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description Vicarious Surgical is hiring an Electrical Engineer II to join our team in Waltham, MA. As an Electrical Engineer II, you will play a critical role in supporting our engineering team by tackling technical challenges and contributing to the successful execution of our projects. This role will emphasize a balanced approach across various aspects of electrical engineering, The ideal candidate will have experience with documentation, test planning, test execution, test fixtures and hands on abilities. Vicarious Surgical is a next generation robotics company developing a disruptive technology with the goal of increasing the efficiency of surgical procedure, improving patient outcomes, and reducing healthcare costs. This is a terrific opportunity for an Electrical Engineer II to join our company at a very exciting time and be a key member of a team of mission-driven and kind individuals with diverse experiences to lead Vicarious into market distribution. Key Responsibilities • Develop and maintain detailed documentation for electrical designs, test plans, and procedures., • Ensure all technical documentation is accurate, comprehensive, and up-to-date., • Collaborate with the team to design and plan tests for electrical systems and components., • Define test objectives, methodologies, and success criteria to ensure thorough evaluation., • Execute electrical tests according to established plans and procedures., • Analyze test results, identify issues, and provide recommendations for improvements., • Contribute to the design and development of test fixtures as needed., • Ensure test fixtures are effective and reliable for accurate testing., • Perform hands-on tasks including soldering, rework, and assembly of electrical components as required., • Bachelor's degree in Electrical Engineering or a related field., • 3+ years of experience in electrical engineering, with a focus on documentation, test planning, and execution., • Proficiency in electrical test equipment and techniques., • Experience with soldering, rework, and assembly., • Ability to work effectively in a collaborative team environment., • Excellent problem-solving skills and attention to detail., • Strong communication skills, both written and verbal., • Experience with designing and developing test fixtures., • Desirable familiarity with surgical robotics, medical device technology, or related fields. Together, we share a love for learning and we are passionate teachers. As a company, we set ambitious goals and individually, we share in that ambition. At the office, we enjoy each other's company during monthly social, catered lunches and company celebrations.

Job Description Boston, MA USA | Full-time | Hybrid | Fixed-term | 3 – 6 months About us Riverlane’s mission is to master quantum error correction (QEC) and unlock a new age of human progress. From advances in material and climate science, to complex chemistry simulation for new drug design, quantum computers will help humanity solve some of its most important challenges. But without QEC, the industry’s defining technical challenge, such breakthroughs can never be achieved. Riverlane is the world leader in QEC technology. QEC is a complex problem that requires a range of skills, talent and passion. We recently raised $75 million to accelerate our cutting-edge R&D. We partner with many of the world’s leading quantum computing companies and governments to accelerate their path to utility-scale quantum computers. We’re making remarkable progress and growing fast. Join us! About the internship Our full-time internships are designed to enable current PhD students in a quantitative field to step out of their PhD research for a short time period and translate their skills and expertise into an industrial setting. We welcome and encourage applications from people who do not have a background in quantum computing, including computer scientists, software engineers and developers. There are three areas a PhD intern can work in - you can view more details here. As a Riverlane PhD intern in the US, you will join us at our Boston office, where you will work on the core challenges in developing the error correction stack. This work requires a wide range of backgrounds and skills, including those with backgrounds in computer science, software/ embedded software engineering, verification, digital design, electrical and electronic engineering, experimental physics (and related disciplines), who also have a keen interest in working on challenging problems in quantum error correction. Projects that an intern could work on in Boston include: • Implementing decoders in software or on dedicated hardware, • Building tools to model noise of different qubit types Every intern will have a dedicated supervisor who will support you to try and produce a concrete output by the end of the internship e.g. a paper, product, or software tool. Previous internship projects have been highly successful, as evidenced by interns leading contributions to various publications, for example: “Error-corrected Hadamard gate simulated at the circuit level”, G.P. Gehér, et al. (2024). What you will do • Develop an understanding of quantum algorithms and industrial applications, control systems for quantum computers, and/or the error correction schemes required for large scale quantum computing., • Research, devise and develop algorithms and software to enhance Riverlane’s capabilities in the above areas., • Contribute to one or more projects that are core to Riverlane’s scientific goals What we need • Currently pursuing (or actively enrolled to imminently start) a PhD degree in a highly numerate subject, such as a Science, Mathematics, Computer Science, Engineering or another related technical field (QEC experience is a bonus, but not required!), • Evidence of creative, high-quality academic work, • Strong ability in algorithmic and abstract reasoning, • Excellent critical thinking and problem-solving ability, • Experience with at least one general purpose programming language, • Strong communication skills, both written and verbal, with a track record of communicating scientific results to colleagues and other audiences, • Ability to take initiative and to work well as part of a team, • Passion for translating academic expertise into an applied industrial setting Important notes • We can only accept applications from current PhD students (or those who are enrolled to imminently start their PhD) and who are local to the United States currently. Regrettably, we are unable to provide relocation or sponsorship., • PhD internships are full-time hours and between 3 and 6 months in length. Start dates can be flexible in 2026 – please let us know your preferred dates when you apply., • This internship is based at our Boston, MA office in the US., • Please note that we require a signed agreement from you assigning the ownership of any IP produced during your internship to Riverlane. How to apply Please upload a cover letter and CV. Your cover letter should explain why you are applying for the internship and what skills and experience you can bring to the role. Deadline Please submit your application by Sunday 16th November 2025. Interviews will be held in Boston, MA or via video (Teams) in late November/early December 2025. Stipend Interns receive a competitive stipend. We will also pay for any expenses incurred as part of your role e.g. travel to meetings or conferences etc. We are unable to pay for travel to the office or accommodation in Boston. Benefits What can you expect from us Alongside your stipend, you can expect a diverse work environment that brings together experts in many fields (including software and hardware development, quantum information theory, physics and maths) and over 20 different nationalities. We also offer free snacks and refreshments and a regular program of learning events. If you have any queries, please contact . Everyone is welcome at Riverlane. We are an equal opportunities employer and encourage applications from eligible and suitably qualified candidates regardless of age, disability, ethnicity, gender, gender reassignment, religion or belief, sexual orientation, marital or civil partnership status, or pregnancy and maternity/paternity. Women and other underrepresented groups may be less likely to apply for a role unless they meet all or nearly all of the requirements. If this applies to you, we still encourage you to apply - you may be a great fit, even if you don’t meet every single qualification. We’d love to hear from you. If you need any adjustments made to the application or selection process so you can do your best, please let us know. We will be happy to help.

Job DescriptionMentor Technical Group (MTG) provides a comprehensive portfolio of technical support and solutions for the FDA-regulated industry. As a world leader in life science engineering and technical solutions, MTG has the knowledge and experience to ensure compliance with pharmaceutical, biotechnology, and medical device safety and efficacy guidelines. With offices in Caguas, Puerto Rico, and Boston, United States, we serve life sciences clients in six global markets: United States, Puerto Rico, Dominican Republic, Mexico, Germany, Canada, and South America. Job Responsibilities: • Experience performing calibrations in Pharmaceutical Industry Environment. Biotechnology preferred., • Strong Knowledge in tolerance calculation, • Experience in Calibration system assessment, • Strong knowledge in process tolerance evaluation., • Process Instrumentation/ Calibration to manage calibration program., • Experience performing calibrations to Bioreactors, Utilities, Formulation, Aseptic Areas., • Experience in Blue Mountain (RAM), Calman, or Procal Software is highly preferred.Must possess experience in:, • Temperature, • Technologies, • Pressure, • Humidity, • Flow, • Mass, • PH, • Conductivity, • Dimension and Electrical, • Knowledge in cGMP, • Associate degree in Instrumentation Engineering Qualifications Requirements/Knowledge/Education/Skills: • AD, Instrumentation Technology, and or Electronics., • While performing the duties of this job, the employee is regularly required to use hands to finger, handle, feel, or operate equipments, tools, or controls. The employee frequently is required to stand, walk, talk, or hear; sit; climb or balance, stoop, kneel, crouch or crawl; and smell. The employee may lift and/or move up to 25-35 pounds and occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, depth perception, and the ability to adjust focus., • He / she may frequently work inside weather conditions, near moving mechanical parts, exposed to wet and or humid conditions, and an odorous atmosphere, may be exposed to fumes and the risk of electrical shock, and occasionally work on ladders in high places, in small spaces, such as lift/metering stations, manholes, tanks and wet wells. The noise level in the work environment is usually moderately loud. Mentor Technical Group es un empleador que ofrece igualdad de oportunidades y todos los solicitantes calificados recibirán consideración para el empleo sin importar raza, color, religión, sexo, orientación sexual, identidad de género, información genética, origen nacional, estado de veterano protegido, estado de discapacidad o cualquier otro grupo protegido por ley. Mentor Technical Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, protected veteran status, disability status, or any other characteristic protected by law. Powered by JazzHR AgGAvLFjgS

Job Description The Team: The Electronic Warfare and Novel Capabilities Group (EWNC) develops and delivers advanced signal processing algorithms and prototype systems for next-generation radar and electronic warfare technologies. EWNC fosters a culture of innovation and collaboration. We investigate cutting edge technologies and interface with engineers across sectors and divisions at STR and researchers at academic institutions and industry partners to develop practical and effective solutions to RF sensing and counter-sensing challenges. If you're seeking an opportunity to apply your deep technical knowledge and creativity to make a lasting impact, we invite you to join us. The Role: As a Lead Algorithm & Signal Processing Researcher, you'll have the opportunity to develop state-of-the-art algorithms and techniques for sense making and sensor decision making, from signal detection and classification, to electronic support measures, attack, and protection, to cognitive EW and more. What You Will Do: • Design and apply cutting-edge signal processing and machine learning techniques to solve complex radar and RF sensing and counter-sensing challenges, • Design and implement models and simulations for advanced RF systems, • Lead small teams and projects, • Support business development and proposal writing efforts, • This position requires the ability to obtain a Top Secret security clearance, for which U.S. citizenship is needed by U.S. Government, • BS, MS, or PhD in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline, • 5-7+ years of relevant work experience depending on degree (BS +7 years or MS +5 years), • Experience in two or more of the following areas:, • RF/radar signal processing, optimization, waveform design, electronic warfare, machine learning, adaptive signal processing, AI/ML algorithm development, algorithm development, test & evaluation, model & simulation, or systems engineering, test engineering, radar modelling, or RF systems prototyping, • Proficiency in one or more scientific or mathematical programming languages, such as MATLAB, Python, and C/C++, • Active Security Clearance, • Experience with:, • RF technologies in the defense sector, particularly for sensing and electronic warfare applications including electronic attack, electronic protection, cognitive EW, and advanced electronic support measures techniques and algorithms, • Machine learning tasks such as natural language processing, image recognition, semantic segmentation, reinforcement learning, approaches such as Bayesian, deep convolutional and graph neural network methods, and tools such as PyTorch, Ray, TensorFlow/board, and MLflow, • Interacting with decision-makers and customers to translate mission needs into an end-to-end analytical solution, • Ability to apply novel, innovative and interdisciplinary approaches to challenging engineering problems STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description Sensors Summer Internship Are you motivated by opportunities to learn and grow? Do you want to collaborate with researchers, scientists and engineers in your field of study and apply your knowledge to projects that solve real problems? If so, then a summer internship at STR is the opportunity for you! At STR, we recognize the importance of our employees to the company's success. Our internship program is the ideal way for us to get to know you, and for you to try out STR as a workplace. Join us this summer and we will help you do meaningful and challenging work in your specialty. You'll be paired with a mentor and collaborate with our staff on real solutions to hard problems related to national security. The Sensors Division focuses on technology development for advanced sensor systems, particularly in the areas of airborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging and EO/IR sensing. Within this role, we perform work on full system prototypes, experiment campaigns and technology component development. Particular development roles within the Sensors Division include RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, tracking/fusion, as well as real-time embedded processor implementation. Job Description: • Perform technical work within project teams, with mentorship from experienced staff, • Collaborate with leading experts to solve problems in fields such as: signal processing, image/video processing, machine learning, computer vision, statistical estimation, object tracking, optimization, control systems, ocean engineering/sonar, data analytics, and sensor hardware development, • Participate in all project phases:, • Problem design, • Solution discovery, • Development of prototype algorithms and systems in software and or hardware, • Experimentation and data analysis, • Enrollment in a BS, MS or Ph.D degree program in a technical discipline such as electrical engineering, computer science, physics, mathematics, or related fields, • Strong academic record and interest in research, • Competitive pay, • Free housing, • Flexible Working Hours, • Fun summer activities both inside and outside the office STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description HyperLight is at the forefront in commercialization of thin-film lithium niobate (TFLN) integrated photonics - a material and process technology that is enabling high-performance, scalable optical components across AI/datacom infrastructure, hyperscale computing, quantum computing, sensing, and beyond. Founded in 2018 and backed by leading venture capital, we’ve built a team and a platform focused on real-world mass deployment of TFLN photonics technology. At the core of our work is the TFLN Chiplet™ platform — a modular, integrated architecture designed for scalability, manufacturability, and seamless integration into complex systems. It offers a rare combination of extraordinary performance and industrial readiness, enabling system developers across applications to deploy the technology fast and ready. We partner with our customers and suppliers from conceptualization, design, and prototyping phases, all the way through mass production to ensure smooth and rapid deployment of TFLN photonic technology. We believe our platform is the key, in the golden age of integrated photonics, to empower humanity to the next level. We assembled a world class team covering engineering, business, and operations. We believe in the power of integrity, innovation, collaboration, and pragmatic solutions. Our diverse team thrives on challenges and is united by a shared commitment to excellence. We take pride in tackling complex challenges with curiosity, humility, and a deep sense of care for one another. Our growing team is looking for a Product Engineer to support and accelerate progress on our datacom products. This hands-on role, based at HyperLight's headquarters, collaborates very closely with our internal design, operations, production, and test teams to drive product development and ensure fast time-to-market. In the role of Product Engineer, you will be involved in all product-related discussions and decisions that have direct impact on HyperLight's business. As part of your responsibilities, you will: • Define component performance requirements and drive component and product optimization in close collaboration with the Design team, • Drive EVT, DVT, and KGD test development in close collaboration with the Test team, • Perform system level modeling to ensure our products' compliance with customer expectations, and develop new product offerings in close collaboration with product line management, • Monitor and improve product yield in close collaboration with the Operations and Production teams, • Graduate degree in Electrical Engineering, Applied Physics, Optics, Photonics or a related field, or 4+ years of relevant industry experience., • Proven experience and deep technical knowledge in high-speed integrated photonics, • Familiarity with datacom IMDD solutions and relevant IEEE standards, • Experience developing optical test routines for transceiver products, • Familiarity with design for manufacturing (DFM), design for test (DFT) and FMEA processes, • Strong programming skills in Python, • Excellent organizational and communication skills, • Comfortable working with cross-disciplinary teams This role is in-person at HyperLight's office in Cambridge, MA. Authorization to work in the US is required Benefits • Competitive market-based compensation, • Comprehensive health coverage, including medical, vision, and dental plans for individuals and families, • 401(k) retirement plans with employee matching, • Paid Parental Leave, • Life and disability insurance, • Commuter benefits and subsidies, • Professional growth and mentorship opportunities

Job Description nou Systems, Inc. (nSI) is now officially a 100% ESOP company! We value teamwork and collaboration, and this transition allows us to take that commitment to a new level. nSI empowers our customers by supplying products, services, and expertise with powerful, data driven insights that transform defense systems and improve capabilities. nou Systems, Inc. (nSI) is seeking a highly skilled Optical Engineer to serve as a subject matter expert (SME) for optical sensor systems in support of the U.S. Army Reagan Test Site (RTS). Optical sensors have been integral to RTS since the 1960s, providing unmatched visible and infrared tracking for missile and space missions. While the Prime Contractor executes day-to-day operations, nSI engineers work alongside RTS leadership, the Prime Contractor, and MIT Lincoln Laboratory (MIT/LL) to ensure that RTS optical systems are fully mission-ready and capable of meeting evolving requirements. The successful candidate will act as the technical authority for optical sensor capabilities, evaluate performance across the range’s five Super RADOT sites, and provide engineering expertise to guide mission operations, CONOPS evolution, and long-term modernization strategies. Key Responsibilities: • Serve as RTS’s optical systems SME, representing nSI in collaboration with RTS leadership, the Prime Contractor, and MIT/LL., • Monitor performance and readiness of high-resolution visible and infrared sensors paired with 24-inch class apertures on two-axis gimbal mounts., • Ensure optical systems achieve stringent metric accuracy and signature data collection requirements for missile and space missions., • Provide independent technical assessment and recommendations on upgrades, risks, and technology roadmaps., • Support mission planning, real-time execution, and post-mission analysis with expert optical engineering input., • Inform CONOPS development and operational changes to optimize performance and resiliency., • Collaborate across radar, telemetry, and instrumentation teams for integrated mission success., • Bachelor’s or Master’s degree in Optical Engineering, Physics, Electrical Engineering, or related discipline., • 7+ years of relevant experience with advanced optical systems, visible/infrared sensors, or tracking instrumentation., • Proven expertise in optical system design, calibration, and performance characterization., • Strong systems engineering background with ability to assess requirements, readiness, and mission risks., • Experience working in joint environments with government, contractor, and laboratory partners., • Experience with test ranges, missile defense, or space tracking operations., • Familiarity with radar-optical integration and distributed control architectures., • Ability to lead technically without direct operational control of systems. Since its founding in 2012, nou Systems has built a reputation for excellence in innovative engineering, prototype development, and technical and professional services in multiple markets, including missile defense, cybersecurity, test range modernization, and space control. Our diverse and highly skilled team delivers state-of-the-art products from concepts and prototypes to fully developed and integrated solutions. We offer significant advancement and personal career development opportunities within our dynamic high-tech company. Our culture is firmly established in treating our employees like family. Benefits of working at nSI nou Systems, Inc. offers a comprehensive, total rewards package that includes competitive compensation and diverse benefits that reflect our company culture of service, excellence, and a supportive work environment. Benefits may vary based on status but the majority of our positions include the following: • Competitive Wages*, • Medical, Rx, Dental & Vision Insurance, • Medical plan with Health Savings Account eligibility, • Company-funded Life, Short-Term & Long-Term Disability Insurance, • Personal Time Off, Vacation, and Paid Holidays, • 401(k) Retirement Plan, • Employee Stock Ownership Plan (ESOP), • Flexible Spending Accounts, • Norton LifeLock, • Tuition Reimbursement, • Personal Development, Technical Learning Opportunities, & Lunch-n-Learns nSI is an Equal Opportunity Employer Employment opportunities at nSI are based upon a candidate’s qualifications and capabilities to perform the essential functions of a particular job and are free from discrimination based on race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, protected veteran status, genetic information, or any other characteristic protected by law. For our complete EEO/AA and Pay Transparency statement, please visit . U.S. citizenship is required for most positions.

Job Description Mastech Digital provides digital and mainstream technology staff as well as Digital Transformation Services for all American Corporations. We are currently seeking a Senior Electrical Engineer for our client in the Sealing Solutions domain. We value our professionals, providing comprehensive benefits and the opportunity for growth. This is a Permanent position, and the client is looking for someone to start immediately. Duration: Full-time Location: Woburn, MA Salary: $120,000 - $130,000/Annually Role: Senior Electrical Engineer Primary Skills: Engineering Role Description: The Senior Electrical Engineer must have 8+ years of experience. We are seeking a hands-on Senior Electrical Engineer to design and develop electrical/control panels for liquid cooling systems across the full product lifecycle (concept through production support). Key Responsibilities: • Design control system architectures, electrical schematics, and control logic diagrams., • Develop and program PLC/HMI systems, control algorithms (PID loops for temperature, flow, pressure), and firmware., • Integrate sensors, actuators, and communication protocols (RS-232, RS-485, Ethernet, SNMP, REST API)., • Test, troubleshoot, and validate system performance; ensure compliance with UL/CE safety standards., • Collaborate with cross-functional teams (mechanical, refrigeration, manufacturing) and support production., • Create documentation, verification test plans, and manage multiple projects on schedule and budget. Qualifications: • BS in Electrical, Controls, or related engineering (advanced degree/certifications a plus)., • 8+ years in control systems design; 5+ years with PLC programming & HMI development., • Strong understanding of thermal management/cooling systems., • Skilled in PLM/MRP tools (Oracle Cloud a plus) and hands-on with oscilloscopes, DVMs, etc., • Excellent problem-solving and communication skills; limited travel (<5%). Education: Bachelor’s degree in Electrical Engineering, Electro-Mechanical Engineering, Control Systems Engineering, or a related field. Advanced degrees or certifications (e.g., HVAC, refrigeration) a plus. Experience: Minimum 8+ years of experience Relocation: This position will not cover relocation expenses Travel: No Local Preferred: Yes Note: Must be able to work on a W2 basis (No C2C) Recruiter Name: Adil Majeed Recruiter Phone: 617-848-2307 Benefits: This is a direct hire position, and the hired applicant will receive our client’s benefits package. Mastech Digital 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 protected veteran status.

Job DescriptionWho We Are: Resonant Link Medical is pioneering the future of wireless power and data transfer for implantable medical devices to help people get well and stay well. We’re committed to revolutionizing patient care by delivering high-performance, reliable, and efficient wireless charging solutions that eliminate the burden of frequent surgeries to replace batteries, improve patient outcomes, and enhance the overall healthcare experience. We’ve designed our first-of-its-kind wireless charging into more than 50 different types of medical devices and support customers around the world from our offices and employee hubs in Burlington, Vermont, Cambridge, Massachusetts, San Francisco, California, and Zurich, Switzerland. We are seeking a Staff Power Electronics Engineer to join our team. In this role, you will use your expertise in power electronics and high-frequency converter design to tackle some of the toughest challenges in wireless power transfer. You’ll focus on the areas that matter most — thermal performance, EMI, stability, and controls — to make sure our systems perform reliably in the field. Along the way, you’ll design and implement new circuit and control solutions, roll up your sleeves to drive testing and verification, and mentor teammates to raise the level of technical strength across the team. Your work will directly shape the reliability, manufacturability, and performance of our product platforms and help deliver wireless power solutions that improve patient care. At Resonant Link Medical, we’re committed to building a collaborative culture that spans disciplines and geographies. To help us deliver on our mission, we’re looking for detail-oriented problem solvers and empathetic team players who are passionate about working for a quickly growing and evolving business. If you thrive in a high-impact, hands-on environment and are interested in helping advance a promising medical technology, this is the role for you! Your typical day will involve… • Owning the hardest technical risks in power electronics — from switching losses and EMI to controls and stability — and driving them to closure to ensure breakthrough wireless power systems succeed in the field., • Identifying and solving the most valuable, high-leverage challenges in power electronics, where novel ideas in topology, controls, or device selection unlock step-changes in performance, safety, and manufacturability., • Rolling up your sleeves to drive design, implementation, and verification — turning ideas into working hardware through hands-on engineering., • Designing, simulating, and optimizing high-frequency converters and control strategies to achieve world-class efficiency, miniaturization, and reliability under strict medical safety standards., • Prototyping, testing, and validating converters methodically, ensuring designs are robust, manufacturable, and ready for clinical use., • Collaborating across disciplines — electromagnetics, mechanical, and firmware — to deliver seamless, integrated power systems., • Bachelor’s degree (Master’s or PhD preferred) in Power Electronics, Electrical Engineering, or a closely related field., • Deep expertise in power electronics theory and design, ideally with proficiency in high-frequency power electronics., • Skilled in loop stability analysis, control design, and implementation for reliable, high-performance power converters., • Strong understanding of passive and active device losses, with proficiency in device-level modeling (inductors, transformers, semiconductors) and system-level architectures., • Hands-on experience prototyping, testing, and validating power converters, using structured and organized approaches., • Strong command of engineering and design processes for shipping high-reliability commercial power electronics., • Excellent organizational skills and a methodical, disciplined approach to problem solving., • Excellent communication and collaboration abilities, with a proven track record working within multidisciplinary engineering teams. Preferred Qualifications: • Experience designing and validating power converters for medical devices or other highly regulated applications., • Familiarity with electromagnetic design and wireless power transfer principles., • Knowledge of relevant safety standards and regulatory requirements (e.g., IEC 60601, ISO 14708). Values and Culture Add: • High-Drive and Self-Motivated: You take ownership of your work, thrive in a fast-paced environment, and can manage tasks with minimal supervision while meeting objectives., • Strong Analytical Skills and Critical Thinking: You use a data-driven approach to problem solving and seek out information to make informed decisions., • Detail-Oriented and Organized: Your precision ensures consistent, high-quality work and organizational skills mean you efficiently manage multiple concurrent projects., • Team-First Mentality: You collaborate effectively, communicate clearly, and support your teammates., • Competitive salary and stock options., • Paid holidays (including a week off at new year) and an unlimited vacation policy., • Generous medical, dental, and vision benefits., • 401(k) retirement plan and company match., • Paid parental and family leave., • Professional development through opportunities like conferences, courses, mentorship, and other learning programs. Resonant Link Medical is anchored by offices in Burlington, Vermont, Cambridge, Massachusetts, and Zurich, Switzerland, and supports customers around the world. Join us and help shape the future of healthcare through advanced wireless technology. *Resonant Link Medical is an equal opportunity employer and includes “Together is Better” as a core value. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please do not hesitate to apply if you see yourself contributing even if you don’t check every box. Help us build an inclusive community that will change the future of wireless charging and patient care! To learn more about our values, mission, and team, visit .

Senior AI Engineer (LLM Core) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. * 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. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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 AI Engineer (LLM Customization and Finetuning) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. * 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. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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: $225,400 - $257,200 for Sr. Lead AI Engineer Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Lead AI Engineer (AI Foundations, LLM Core) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. * 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. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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 AI Engineer (Gen AI Platform Services) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. * 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. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Lead AI Engineer (AI Foundations, Python) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. * 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. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Applied Researcher II Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with new ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research Preferred Qualifications: * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $257,300 - $293,700 for Applied Researcher II McLean, VA: $257,300 - $293,700 for Applied Researcher II New York, NY: $280,700 - $320,400 for Applied Researcher II San Francisco, CA: $280,700 - $320,400 for Applied Researcher II San Jose, CA: $280,700 - $320,400 for Applied Researcher II Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

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 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $175,800 - $200,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Anytown, IL: $175,800 - $200,700 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Lead AI Engineer (Gen AI Platform Services, Python, Kubernetes) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. * 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. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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 AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. * 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. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Applied Researcher 1 Overview: At Capital One, we are creating trustworthy and reliable AI systems, changing banking for good. For years, Capital One has been leading the industry in using machine learning to create real-time, intelligent, automated customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The AI Foundations team is at the center of bringing our vision for AI at Capital One to life. Our work touches every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology and business leaders to apply the state of the art in AI to our business. In this role, you will: * Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money. * Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data. * Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation. * Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences. * Flex your interpersonal skills to translate the complexity of your work into tangible business goals. The Ideal Candidate: * You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. * Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. * Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. * A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. * Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing AI foundation models and solutions using open-source tools and cloud computing platforms. * Has a deep understanding of the foundations of AI methodologies. * Experience building large deep learning models, whether on language, images, events, or graphs, as well as expertise in one or more of the following: training optimization, self-supervised learning, robustness, explainability, RLHF. * An engineering mindset as shown by a track record of delivering models at scale both in terms of training data and inference volumes. * Experience in delivering libraries, platform level code or solution level code to existing products. * A professional with a track record of coming up with high quality ideas or improving upon existing ideas in machine learning, demonstrated by accomplishments such as first author publications or projects. * Possess the ability to own and pursue a research agenda, including choosing impactful research problems and autonomously carrying out long-running projects. Basic Qualifications: * Currently has, or is in the process of obtaining, a PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 2 years of experience in Applied Research Preferred Qualifications * PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields * LLM * PhD focus on NLP or Masters with 5 years of industrial NLP research experience * Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization) * Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) * Publications in deep learning theory * Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR * Optimization (Training & Inference) * PhD focused on topics related to optimizing training of very large deep learning models * Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression * Experience optimizing training for a 10B+ model * Deep knowledge of deep learning algorithmic and/or optimizer design * Experience with compiler design * Finetuning * PhD focused on topics related to guiding LLMs with further tasks (Supervised Finetuning, Instruction-Tuning, Dialogue-Finetuning, Parameter Tuning) * Demonstrated knowledge of principles of transfer learning, model adaptation and model guidance * Experience deploying a fine-tuned large language model Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $214,500 - $244,800 for Applied Researcher I McLean, VA: $214,500 - $244,800 for Applied Researcher I New York, NY: $234,000 - $267,000 for Applied Researcher I San Francisco, CA: $234,000 - $267,000 for Applied Researcher I San Jose, CA: $234,000 - $267,000 for Applied Researcher I Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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 AI Engineer (AI Foundations, LLM Core) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. * 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. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies * At least 3 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 4 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost 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: $158,600 - $181,000 for Senior AI Engineer McLean, VA: $158,600 - $181,000 for Senior AI Engineer New York, NY: $173,000 - $197,400 for Senior AI Engineer San Francisco, CA: $173,000 - $197,400 for Senior AI Engineer San Jose, CA: $173,000 - $197,400 for Senior AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Distinguished AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. * 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. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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: $263,900 - $301,200 for Distinguished AI Engineer McLean, VA: $263,900 - $301,200 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished AI Engineer Richmond, VA: $239,900 - $273,800 for Distinguished AI Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished AI Engineer San Jose, CA: $287,800 - $328,500 for Distinguished AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Distinguished AI Engineer (Agentic AI Platform Infrastructure) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. * 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. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies * At least 8 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 8+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * 2+ years of experience supporting Agentic Frameworks (LangChain, CrewAI, Semantic Kernel (Microsoft), or AutoGen) * 2+ years of experience with LLMOps (Google Cloud Vertex AI, Amazon SageMaker, Azure Machine Learning * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang 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: $263,900 - $301,200 for Distinguished AI Engineer McLean, VA: $263,900 - $301,200 for Distinguished AI Engineer New York, NY: $287,800 - $328,500 for Distinguished AI Engineer San Francisco, CA: $287,800 - $328,500 for Distinguished AI Engineer San Jose, CA: $287,800 - $328,500 for Distinguished AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Lead AI Engineer (GenAI Platform Services, Python) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. * 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. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

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 4 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 6 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) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs * 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 with common training optimization frameworks (deep speed, nemo) * Experience contributing to the team that has trained a large language model from scratch (10B + parameters, 500B+ tokens) or through continued pre-training, post training pipeline for alignment and reasoning, LLM optimizations, complex reasoning with multi-agentic LLMs 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: $273,000 - $311,500 for Distinguished Applied Researcher Cambridge, MA: $300,200 - $342,600 for Distinguished Applied Researcher McLean, VA: $300,200 - $342,600 for Distinguished Applied Researcher New York, NY: $327,600 - $373,800 for Distinguished Applied Researcher San Francisco, CA: $327,600 - $373,800 for 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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 AI Engineer (AI Foundations) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. * 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. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers 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: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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 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 4 years of experience programming with Python, Scala, or Java (Internship experience does not apply) * At least 3 years of experience designing and building data-intensive solutions using distributed computing * At least 2 years of on-the-job experience with an industry recognized ML frameworks (scikit-learn, PyTorch, Dask, Spark, or TensorFlow) * At least 1 year of experience productionizing, monitoring, and maintaining models Preferred Qualifications: * 1+ years of experience building, scaling, and optimizing ML systems * 1+ years of experience with data gathering and preparation for ML models * 2+ years of experience developing performant, resilient, and maintainable code * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience with distributed file systems or multi-node database paradigms * Contributed to open source ML software * Authored/co-authored a paper on a ML technique, model, or proof of concept * 3+ years of experience building production-ready data pipelines that feed ML models * 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: $158,600 - $181,000 for Senior Machine Learning Engineer McLean, VA: $158,600 - $181,000 for Senior Machine Learning Engineer New York, NY: $173,000 - $197,400 for Senior 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Location: Woburn, MA Vaxess is developing a pipeline of next-generation vaccines and therapeutics on our novel micro-array patch platform. With only five minutes of wear-time on the skin, the self-applied patch enables up to two weeks of sustained delivery. The platform combines high temperature stability with simplified application to dramatically alter the way that drugs are delivered. Vaxess is committed to enabling products that are not only more effective, but also more accessible to patients around the world. The Senior Mechanical Engineer is a hands-on position involving designing, building, and maintaining automated production equipment throughout its lifecycle. This role will be responsible for design, assembly, installation, qualification, ongoing maintenance, and optimization of automated production systems requiring expert troubleshooting of mechanical assemblies and systems, performing root cause analysis, and implementing corrective actions to ensure efficient, reliable manufacturing operations. Working at Vaxess is cross-disciplinary, integrating chemistry, biology, immunology, mechanical, biomedical, and chemical engineering to address important unmet medical needs. We are seeking a talented, collaborative, and highly motivated individual to join our team. This is a unique opportunity to be part of an emerging startup and significantly influence the strategic growth and future direction of the company as we bring innovative technology to the global vaccine and therapeutic market. Responsibilities • Design, implement, and maintain novel automated systems and solutions that contribute to current manufacturing and scale up of manufacturing operations to eventual commercialization., • Manage external vendors to develop plans, evaluate proposals, and ensure delivery of projects in-scope, within budget, and on time., • Document equipment and procedures though User Requirements Specifications, detailed mechanical, electrical, and assembly drawings, and use and maintenance SOPs. Contribute to the implementation and maintenance of the Quality Management System., • Collaborate closely with cross-functional teams to support product development and manufacturing activities, and to identify and resolve manufacturing issues., • Contribute to continuous improvement to increase safety, quality, and efficiency of manufacturing. Qualifications • BS or advanced degree in Mechanical Engineering or a related discipline., • At least 10 years of experience in designing, building, installing, qualifying, and maintaining automated systems for high volume medical device manufacturing., • Experience writing and executing IQ, OQ and PQ protocols., • Experience developing URS, FAT and SAT documents for automated equipment, • 3D CAD (SolidWorks or similar) as well as Mechanical design of fixtures, assemblies and equipment., • Understanding and working knowledge of mechanical linkages, power transmissions and practices., • Understanding of diverse fabrication techniques, manufacturing processes, and Design for Manufacturability, • Excellent time and project management skills and proven ability to meet goals and deadlines., • Demonstrated abilities to learn new skills and fields, creatively solve challenging technical problems, think independently, and work collaboratively in diverse multidisciplinary teams., • Entrepreneurial spirit and drive to positively impact global human health.

Third Pole is on a mission to expand the lifesaving benefits of Nitric Oxide inhalation therapy, making it accessible to millions of respiratory challenged newborns and adults around the world. This is a rare opportunity to be part of a rapidly growing team, making a huge social impact, touching the lives of those we love and care about most. We are a fast-paced startup developing a game-changing technology that generates Nitric Oxide on demand, at the patient location, from the air we breathe. Our Third Pole community is grounded in the values of collaboration, embracing diverse ideas, commitment, and transparency without the politics found in most companies. Our motto is we are only successful if we all cross the finish line together! Sound like you? The Principal Software Engineer provides expertise in the design, development, characterization, and testing of complex software/firmware used to drive and manage complex electromechanical medical devices. In this role you will interface with a strong multidisciplinary team across the full product development life cycle including requirements, risk, implementation and testing activities. This position is full-time onsite in Waltham, MA. Responsibilities: • Collaboratively work with System’s Engineering to translate system level requirements into product architectures making tradeoff decisions regarding hardware and software partitioning, • Uses modeling, hardware-in-the-loop simulation and actual devices to develop, debug and test complex systems to meet required performance, • Develop software subsystem architectures aligned to product level requirements and architectures including software requirements definitions and sub-system designs, • Design and develop software/firmware utilizing C and C++ on embedded real time operating systems (RTOS) following company and industry requirements and best practices, • Performs advanced risk analyses using FMEA and fault tree methods. Works with other engineering disciplines to develop, implement, and verify solutions, • Perform software verification including code reviews, writing unit test cases, and running static analysis, • Document system design inputs and outputs using the Third Pole’s design control and document management system, • Evaluates product performance on an on-going basis and initiates and evaluates required changes to the designs to improve and optimize performance, • Solve complex software issues by analyzing critical factors and recommending corrective or alternative actions, • Ensures adherence to company quality system, product specifications, industry standards, and quality and regulatory procedures and requirements, • Maintains accurate documentation of concepts, designs, drawings, and processes through lab notebooks or other methods Requirements: • Bachelor’s Degree in Software or Electrical Engineering. Master’s degree preferred., • 10+ years Software Engineering experience in the design and development of complex, real time software driven electromechanical Class II medical devices in C and C++; Class III experience preferred, • Detailed knowledge of key regulatory requirements included ISO 13485, ISO 14971, ISO 62304 as well as FDA QSR 21 CFR Part 820, • Recent microcontroller experience, • Experience with electronic design control and document management systems preferred, • Ability to work independently with high competency and little guidance., • Must be a creative problem solver that can think outside of the box to develop novel solutions to complex problems, • Must be able to work in a fast paced, high energy, collaborative team that possesses a strong sense of urgency, • Strong design control and documentation skills, • Strong analytical and leadership skills Third Pole, Inc. provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law.

If you are looking for an opportunity to break away from your silo to grow your career while working on high profile Mission Critical Data Centers, we are looking for you. Vanderweil Engineers is a nationally recognized, top-ranked engineering firm specializing in MEP/FP and technology services. For 75 years, we've delivered innovative solutions across diverse sectors—including Science & Technology, Mission Critical, Academic, Healthcare, and Commercial. As one of the largest independently owned engineering firms in the U.S., our team of 500+ professionals operates from nine offices nationwide, bringing deep expertise and a commitment to excellence to every project. If you are looking for an opportunity to grow your career, we offer growth and stability in an ever-changing volatile environment. Join us to do the best work of your career as a Project Manager at our Boston, MA headquarters. (Hybrid - Seaport District, three-minute walk from South Station) As a Project Manager, you will be partnering with Project Managers and Engineers on large-scale mission-related data center projects. Expand your skillset by learning from Senior Project Managers while gaining knowledge across multiple disciplines and project oversight. Have a voice by working outside the box with the way we approach projects at Vanderweil. Some of your responsibilities include the following: • Partner with Senior Project Managers, Engineers, Subcontractors, and field personnel, • Contract, Scope and Quality management, • Coordinate deliverables and design reviews, • Focused on all aspects of project work from planning through construction, including client meetings and presentations to ensuring continued understanding of the client’s needs., • Writing proposals, estimating A/E fees, and presenting qualifications of teams., • Manage schedule and budgets for multiple projects. Essential Skills and Requirements: • 5+ years of related background, • Bachelor’s degree or advanced degree in Project Management, Engineering, Technical field or equivalent experience, • Client facing communication skills, • Background in either mission critical data centers, life sciences, academic or commercial, • Knowledge of MEP/FP, Architectural or Structural systems/components. (will consider architects, structural, mechanical, electrical or civil engineers with experience managing large teams in a consultant environment), • Prior experience in project managing projects in an E or A or A/E consulting firm. Our Flexible & Hybrid Work Culture At Vanderweil Engineers, we believe our best work is done when flexibility is offered. We know that work/life synergy is crucial to our employees, our flexible and hybrid work style allows team members to have the freedom to be innovative, and drive results their way. Our wellness programs are above and beyond, as our team members physical and behavioral health are a priority. We are an equal opportunity employer committed to diversity in the workplace. If you would like to connect with us for more information, please contact a member of our recruitment team or to learn more about our work culture, please visit us at . The compensation that we expect to pay for this position is commensurate with years of experience, professional licensure and education may range from $90,000 to $130,000 annually, bonus eligible, plus benefits.

Zaiput Flow Technologies commercializes tools deployed in the context of chemical processing for pharmaceutical applications. Zaiput is passionate about innovation and is committed to achieving excellence through creativity, integrity, teamwork, open communication and prides itself on providing outstanding customer service. We are currently seeking candidates to apply for a full-time Mechanical Development Engineer position to play an important role in the development of a new product line. The ideal candidate will be committed to Zaiput’s mission and values, self-motivated, organized, independent and original in their thinking. Team-work abilities and leadership skills are also essential for this position. Position Description: Zaiput’s current and forthcoming products cover a wide range of applications from laboratory scale to production units. In this context, we are seeking a Mechanical Design Engineer to provide substantial contribution to our product design and R&D efforts. The responsibilities of the job will include participating in brainstorming, design, building and testing to continually improve our current devices, generate prototypes for products under development and launch new products. The work involved in this project is cutting-edge and requires a highly skilled, creative individual possessing strong applied design capabilities. While the products will be the result of teamwork, because of the required multidisciplinary approach, the mechanical engineer will have a key role in the design of the mechanical and fluidic components of the systems. Importantly, the multidisciplinary nature of Zaiput’s work requires the teams to keep tight internal interaction and have excellent communication. The variety of responsibilities and broadness of the tasks makes this position an exciting professional opportunity for a very motivated, driven engineer. This is a unique opportunity to join a project and experience the exciting journey from conception to commercialization. More information about the projects will be provided to interested candidates. Responsibilities include: -\tDesigning and testing components and subassemblies for current and future product lines -\tGenerating 2D and 3D design packages to internal drawing standards -\tGenerating and maintaining Bill of Materials for multiple products -\tGathering quotes for components and managing suppliers to source development materials. -\tParticipating in engineering design reviews -\tTriaging field issues and converting those issues into product changes -\tPrototyping fixes and features using on-site machine shop and tools -\tGenerating documentation for engineering verification, SOP’s, and concept development -\tNurturing a product line from concept to production release Desired skills and experience: -\tBSME or MSME from accredited university -\t4-5 years of experience in engineering design, preferably in a smaller team environment. -\tExcellent knowledge of the fundamentals of engineering -\tDemonstrated ability to troubleshoot of mechanical and electrical systems. •\tFlexibility in undertaking and participating in different tasks and activities. -\tDemonstrated eagerness to learn and grow in a collaborative team environment. -\tDemonstrated ability to work in a cross-functional manner. -\tExcellent technical writing skills -\tExcellent communication and interpersonal skills with the ability to understand and present technical details. -\tExcellent task management and prioritization skills. -\tProficiency in SolidWorks, Labview, Arduino -\tAt least some knowledge of PLC programming and troubleshooting is required. -\tAbility to travel on occasions internationally to assist on customer installs -\tExperience programming CNC milling centers is a valuable plus -\tExperience in a manufacturing setting is a valuable plus -\tExperience in Solidworks PDM, is a valuable plus Employment: This is a full-time position on site; the compensation package depends on qualifications and includes full benefits. To apply: Please send a CV/resume to Matt Ewing at . If you would like to get to the top of the list, please provide the following writing exercise: """ Prompt: Describe one solo project (non-team work) which showcases your hands-on fabrication abilities, creativity, and deep knowledge of something. Format: Provide a single (1) page PDF of technical writing, with pictures**. No specific formatting required, but put an effort into making it look nice on the page. **Please ensure that all pictures and descriptions are limited to non-proprietary information. """ About Zaiput Flow Technologies Zaiput Flow Technologies commercializes groundbreaking proprietary technology that enables continuous liquid-liquid/gas-liquid separation for chemical manufacturing as well as new reactor technology for continuous hydrogenation and new crystallization technology for continuous crystallization. Zaiput’s technology and products are used mostly in for pharmaceutical and fine chemicals production. Zaiput is committed to the development and commercialization of new, high quality tools for the enhancement and growth of flow chemistry and chemical manufacturing technology. As an MIT spinoff, innovative R&D is at its core as well as strong professional and ethical values.

Looking for a hands-on Engineering Project Manager to lead the end-to-end development of cutting-edge semiconductor solutions for ADAS (radar, camera, and lidar) applications. This is your chance to shape the next generation of automotive sensor technology! RESPONSIBILITIES • Lead cross-functional teams through the full lifecycle: silicon design, packaging, fab, test, bring-up, and system integration., • Drive project execution, milestone tracking, and gate reviews., • Ensure compliance with functional safety (ISO 26262 – ASIL B), QMS, and ASPICE standards., • Act as the bridge between technical teams and stakeholders, resolving technical challenges and aligning priorities. SKILLS & EXPERIENCE • Bachelor’s or Master’s in Electrical, Computer, or Systems Engineering., • 7+ years in semiconductor or automotive product development with hands-on chip experience., • Experience with automotive sensor systems (radar, camera, lidar)., • Strong leadership in cross-functional engineering teams and functional safety processes., • Excellent organizational and communication skills. ADVANTAGEOUS • ASPICE experience, • Verification & validation knowledge for automotive-grade semiconductor products, • Familiarity with tier-1/OEM program expectations 📩 Apply now or reach out directly for a confidential conversation -

At indiGO Technologies (Tradename: “GO”), we are changing the electric vehicle paradigm with our own class of ultra-efficient electric vehicles for ride hailing and last-mile delivery use cases. The indiGO line of purpose-built EVs provides the smoothest, roomiest, and most affordable ride using patented SmartWheel technology. Our technology combines premium suspension, a spacious cabin, and low cost-per-mile performance to enable truly sustainable transportation. We are looking for a Senior Product Development Engineer / Product Manager to manage programs from concept through production, ensuring designs meet business, cost, quality, and manufacturability targets aligned to the corporate strategy and business plan. This role will work cross-functionally with business, engineering, manufacturing, and supply chain teams to ensure we deliver exceptional products on time and on budget. Responsibilities: • Capture customer, business and product requirements for indiGO offerings and formulate an overall product roadmap for each product line., • Establish programs and projects that formally scope and track cross-functional efforts from planning to design to production to release., • Collaborate with leadership, business, R&D, engineering, and manufacturing to ensure a seamless production transition from prototype vehicles to full production environments at scale., • Document and coordinate requirements with Testing and Compliance teams to ensure compliance with relevant safety and performance standards., • Conduct root-cause analysis and lead the resolution of issues that jeopardize the schedule or budget., • Maintain thorough documentation of projects, programs, change records, budgets, etc. associated with the role. Requirements: • Bachelor’s or Master’s in mechanical, electrical, or automotive engineering., • 7+ years in vehicle product development., • Proficiency in product management and project management methodologies and tools., • Proven ability to manage barriers to on-time/on-budget product releases including proficiency in engineering and manufacturing analysis, • Strong understanding of vehicle systems, integration, and manufacturability., • Strong understanding of business planning, product launches and financial performance fundamentals., • Strong leadership, communication, and strategic project management skills. Qualified candidates working from our EV facility and HQ in Woburn, MA (20-minutes from downtown Boston) are preferred and will be prioritized. Note that only experienced and qualified candidates should apply, and also state whether they can either work fulltime in Woburn MA or are open to relocation to the NorthEast area. We are looking for like-minded individuals on our movement to truly impact sustainability. Join us on our mission to change the EV paradigm! indiGO Technologies offers competitive salaries, stock options, flexible hours, and a 401K plan. We support a diverse engineering team, knowing that innovation truly thrives with a variety of backgrounds and experiences. indiGO Technologies is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law.

If you are looking for an opportunity to break away from your silo to grow your career while working on recognizable high-profile projects like TAO and Beauty & Essex at Mohegan Sun, Cherokee Resort/Casino, Sequan Resort, Moxy Hotel, Canopy Hilton, etc., we are looking for you. We offer mentorship, growth and stability in an ever-changing environment. Vanderweil Engineers is a nationally recognized, top-ranked engineering firm specializing in MEP/FP and technology services. For 75 years, we've delivered innovative solutions across diverse sectors—including Science & Technology, Mission Critical, Academic, Healthcare, and Commercial. As one of the largest independently owned engineering firms in the U.S., our team of 500+ professionals operates from nine offices nationwide, bringing deep expertise and a commitment to excellence to every project. Join us to do the best work of your career as an Engineering Project Manager with our team in our Commercial group at our Boston, MA headquarters (hybrid role - Seaport district, three-minute walk from South Station). As an Engineering Project Manager, you will be managing Commercial projects ranging from new construction and renovations of hospitality projects to large gaming, convention center and entertainment projects across the country. This is an impactful role managing projects with potential for career growth and skillset expansion. Responsibilities include: • Point person for clients, architects, and contractors from design through construction., • Leading a team of 4-6 engineers from across MEP, Fire & Protection engineering depts, working to devise and implement the right technical solutions for the client., • Effectively develop and manage project designs from initial concept through design documents, construction documents and close-out., • Collaborate and coordinate with internal engineering departments, architects and contractors, • Management of QC, schedule and budgets for projects, • Represent team at design and construction meetings, • Manage submittal and RFI responses to support construction activities Essential Skills & Requirements • 5+ years of Mechanical or Electrical or Plumbing or Fire Protection design background, • Bachelor of Science degree in Engineering, • Project Management background preferred OR desire to enter Project Management, • PE or LEED certification is a plus Our Flexible & Hybrid Work Culture: We know that work/life integration is important to our employees. Our hybrid work style (up to 2 days remote per week) allows team members to have flexibility while building their skills through in-person exposure to industry experts. Our wellness programs are above and beyond, as our team members physical and behavioral health are a priority. We are an equal opportunity employer committed to diversity in the workplace. If you would like to contact us for more information, please contact a member of our recruitment team or to learn more about our work culture, please visit us at . The compensation that we expect to pay for this position is commensurate with years of experience, professional licensure and education may range from $120,000 to $150,000 annually, bonus eligible, plus benefits.

Senior Plumbing/Fire Protection Engineer US-MA-Boston Job ID: 2025-3168 Type: Regular Full-Time of Openings: 1 Category: MEP The LiRo Group Boston MA Overview We have an immediate need for a Senior Plumbing/Fire Protection Engineer in Boston, MA. Come join our team! We are looking to build services and capabilities through the growth of our key asset- our staff. Ranked among the nation's top A/E firms by Engineering News-Record, LiRo-Hill provides construction management, engineering, environmental, architectural, and program management solutions. You can become part of an organization that has a strong track record and is looking to strengthen relationships and capabilities to continue being a trusted resource for our clients in the public and private sector. We are proud to be known as an “Integrated Construction, Design and Technology Solutions” firm and we have delivered on that label time and again. Recently, Global Infrastructure Solutions Inc. (GISI), the parent company of The LiRo Group and Hill International, Inc. consolidated a portion of the highly experienced staff of both LiRo and Hill in the Northeast to create a larger, more efficient, and cost-effective team to serve clients. LiRo-Hill is a 1100-person firm with offices in NYC, Long Island, Buffalo, Rochester, Boston and Metro Park, NJ. Responsibilities • Lead the design and development of plumbing and fire protection systems from concept through design for commercial, industrial, municipal and healthcare facilities., • Perform load calculations and system sizing using industry-standard software., • Prepare detailed engineering drawings, specifications, and riser diagrams., • Ensure compliance with local, state, and federal codes and standards., • Coordinate with multidisciplinary teams including architectural, mechanical, electrical, and other stakeholders., • Conduct site visits, inspections, and field surveys to support design and construction phases including review of RFIs, shop drawings etc., • Mentor junior engineers and provide technical guidance., • Perform QA/QC reviews of projects to ensure high standards of quality are maintained., • Interface with clients, attend project meetings, and present technical solutions. Qualifications • Bachelor of Science Degree in Mechanical Engineering or related field., • Certified Plumbing Designer (CPD) or Professional Engineer (PE) license required or in progress and attainable within 12 months., • Minimum 8 years of relevant experience in plumbing and fire protection system design., • Proficiency in AutoCAD, Revit, and hydraulic calculation software., • Strong knowledge of applicable codes and standards (e.g., NFPA, ASHRAE, IBC)., • Excellent leadership, mentoring and project management skills., • Strong technical writing and communication skills. Preferred Skills: • LEED Accreditation or experience with sustainable design., • Self-motivated and the ability to multitask to meet specific project deadlines. We are committed to your success, and we invest in your growth and development to unlock your full potential. • Competitive Total Compensation Package, • Employee- Only Stock Purchase Plan, • Mentoring programs, • Continuing Education Program, • Employee referral bonus We believe in the power of collaboration. We work hard to build a corporate culture that empowers all our employees to freely share their ideas, know their presence, and contributions are truly valued, fostering a climate where our employees are enabled to maximize their full potential. -We offer a comprehensive benefits package and a positive work environment -Exact compensation will be determined on the individual candidates’ qualifications and location. -The selected candidate must be authorized to work in the United States; Visa sponsorship is not available for this role. LiRo-Hill is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, religion, national origin, ancestry, marital status, sex, affectional or sexual orientation, gender identity or expression, or protected veteran status; and will not be discriminated against on the basis of disability. #ID22 #ZR22 #LI22 PI278644850

If you are looking for an opportunity to break away from your silo to grow your career while working on high profile Mission Critical Data Centers, we are looking for you. Vanderweil Engineers is a nationally recognized, top-ranked engineering firm specializing in MEP/FP and technology services. For 75 years, we've delivered innovative solutions across diverse sectors—including Science & Technology, Mission Critical, Academic, Healthcare, and Commercial. As one of the largest independently owned engineering firms in the U.S., our team of 500+ professionals operates from nine offices nationwide, bringing deep expertise and a commitment to excellence to every project. Join us to do the best work of your career on our growing team and make a profound environmental impact as a Senior Project Manager on our growing team at our Boston, MA headquarters. (Hybrid schedule - Seaport District - four minute walk from South Station) What You will Achieve As a Senior Project Manager, you will be working on various large mission critical data centers with key clients. These projects will be designing the building infrastructure to support cutting edge AI and IoT initiatives. Specifically involved with large site developments, wet and dry utility distribution, and overall permitting requirements. Have a voice by working outside the box with the way we approach projects at Vanderweil. You will: • Manage multiple A/E projects in the life sciences sector., • Be the prime consultant and managing outside sub-consultants such as architects, structural and civil engineers., • Focused on all aspects of project work from planning through construction, including client meetings and presentations to ensuring continued understanding of the client’s needs., • Writing proposals, estimating A/E fees, and presenting qualifications of teams., • Manage schedule and budgets for multiple projects. Essential Requirements • 10+ year of experience with 7+ years in project management, • Bachelor’s degree in Engineering or Project Management or equivalent experience, • Previous project manager in either mission critical data centers, life sciences, academic or commercial, • Knowledge of MEP/FP, Architectural or Structural systems/components. (will consider architects, structural, mechanical, electrical or civil engineers with experience managing large teams in a consultant environment), • Prior experience project managing projects in a E or A or A/E consulting firm., • Understanding of Civil Engineering and site development is a plus Who We Are We believe that each of us has the power to make an impact. That is why we put our team members at the center of everything we do. If you are looking for an opportunity to grow your career with some of the best minds in the industry, we are looking for you. Vanderweil Engineers is an equal opportunity employer committed to diversity with a work environment free of discrimination and harassment. Our Flexible & Hybrid Work Culture At Vanderweil Engineers, we believe our best work is done when flexibility is offered. We know that work/life balance is crucial to our employees, our flexible and hybrid work style allows team members to have the freedom to be innovative, and drive results their way. To learn more about our work culture, please visit us at . Our wellness programs are above and beyond, as our team members physical and behavioral health are a priority. The compensation that we expect to pay for this position is commensurate with years of experience, professional licensure and education may range from $130,000 to $160,000 annually, bonus eligible, plus benefits.

Lead Machine Learning Engineer (Intelligent Foundations & 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: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 2 years of experience building, scaling, and optimizing ML systems Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * 3+ years of experience building production-ready data pipelines that feed ML models * 3+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 2+ years of experience developing performant, resilient, and maintainable code * 2+ years of experience with data gathering and preparation for ML models * 2+ years of people leader experience * 1+ years of experience leading teams developing ML solutions using industry best practices, patterns, and automation * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead Machine Learning Engineer McLean, VA: $193,400 - $220,700 for Lead Machine Learning Engineer New York, NY: $211,000 - $240,800 for Lead Machine Learning Engineer Richmond, VA: $175,800 - $200,700 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).

Lead AI Engineer (FM Hosting, LLM Inference) Overview At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. 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 how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. 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. * 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. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production 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: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI 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 ___. 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 4901-4920; 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 1-800-304-9102 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 ___ 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).