Electrical engineering technology jobs in Baltimore, MarylandCreate job alerts

Description Are you ready to lead groundbreaking innovation of electronics design and advanced manufacturing? We’re looking for a creative, collaborative, and driven technical leader to join our team as Assistant Group Supervisor (Deputy Manager - Electronic Fabrication). In this role, you’ll shape technical strategy, inspire innovation, and help deliver the advanced technologies that protect our nation and allies. As the Assistant Group Supervisor (Deputy Manager - Electronic Fabrication), you’ll partner with the Group Supervisor to guide the team’s vision, resources, and execution. Your responsibilities will include: • Lead Projects & Innovation: Serve as a principal investigator, project technical lead, or key contributor on electrical fabrication and advanced electronics projects., • Ensure Excellence in Delivery: Coordinate technical tasking, balance workloads, and ensure staff follow best practices in quality and process management while meeting sponsor needs., • Strategic Planning & Resources: Assist in forecasting and managing budgets, lab/office space, and resources to ensure cost-effective execution., • Shape the Future: Develop and maintain a vision and strategy aligned with Department and Mission Area priorities. Advance new capabilities through science and technology initiatives that support APL’s strategic thrusts., • Develop & Mentor Talent: Recruit, mentor, and retain a highly skilled technical staff. Set clear expectations, coach performance, support career growth, and prepare the next generation of leaders., • Micro- and nano-fabrication, • Printed circuit board design and development, • 3D-printed electronics Qualifications You meet our minimum qualifications for the job if you... You are a passionate leader who thrives in multidisciplinary environments and brings both technical depth and strategic vision. You balance innovation, execution, and people leadership to drive mission impact. And... • Hold a Bachelor's Degree in Engineering, Applied Mathematics, Computer Science, Physics, or a related field OR have 8+ years of relevant technical experience., • Bring hands-on expertise in one or more of the following: pcb bare board development, assembly of components, electrical fabrication, micro/nanoelectronics, and/or 3D printing of electronics., • Have 2+ years of supervisory experience, including mentoring and developing technical teams., • Demonstrate strong leadership, organizational, and planning skills, along with excellent written and verbal communication abilities., • Excel at building relationships and collaborating effectively with staff, customers, suppliers, and senior management., • Have a Master’s Degree in Engineering, Applied Mathematics, Computer Science, Physics, or another related field., • Have demonstarted experience in developing innovations, proposals and worked in a hands on environment building electronics., • Have at least twelve years of relevant work experience., • Hold an active Top Secret security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship. #LI-KW1 #SMR About Us Why Work at APL? The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation’s most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates. At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL’s campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at ___. All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact ___. The referenced pay range is based on JHU APL’s good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis. Minimum Rate $102,500 Annually Maximum Rate $290,000 Annually

Job Description FST Technical Services Commissioning (Cx) division is one of the leading Cx firms in the country. We partner with clients for quality assurance in the design, construction, and post-acceptance phases of building projects. We ensure that equipment in mechanical, electrical, plumbing, and associated systems are designed, installed, and functionally tested to meet the clients requirements and design intent. About the job: A commissioning senior project engineer reports to a team leader and is responsible for the delivery and execution of our professional services tasks for equipment in mechanical, electrical, plumbing, and associated systems. Primary activities include completing office assignments, time and expense management, in-field installation validation, field observation reports and meeting notes, functional performance testing, on-site and factory witness testing, writing of reports and meeting notes, submittal reviews, and design documentation evaluation. Additional activities include executing target billable hours, managing tasks within time budgeted, leading Cx meetings, assisting the construction team with identifying/solving technical issues when they arise, and interpreting contract documents to predict scope gaps, maximize opportunities to provide value for clients, and reduce risk. Administrative activities include supporting the team leader in coordinating weekly staff scheduling, training/mentoring team members on proper documentation, field procedures, and equipment usage, participating in and leading sessions of the company-wide developmental safety and training programs, and supporting revenue targets and quality assurance goals by expanding relationships with existing clients. Candidate must be able to travel to and from various job sites within the assigned region. Requirements: • Completed a bachelors degree in HVACR, mechanical or electrical engineering, construction management or an associates degree in engineering technology or related trade school, construction, maintenance, or engineering controls experience, • 7+ years employment in a staff or intern position related to maintenance, construction, or engineering controls or 3+ years in the Cx industry, • 5+ years of experience managing the interconnectivity of building equipment including pumps, fans, motors, air ventilation, chillers, boilers, steam distribution, heat absorption, building automation systems, optimization techniques, electrical distribution, fire alarm, variable refrigerant flow, and waste-water systems., • Knowledge of construction drawings, specifications, bid process, and ancillary industry documents, • Aptitude to solve problems independently and in a team environment, • Effective verbal and written communication skills, • Public speaking and presentation skills, • Adaptability to varying indoor and outdoor working conditions, • Physical fitness, capability to lift at least 30 pounds, and ability to climb ladders, • Trade association involvement, • EIT, ACP. CEM or similar certification from experience, • OSHA 30 or other safe workplace certifications nCiizsEjAK

Job DescriptionSr Electrical Engineer PE - Competitive Salary, Bonus, Benefits, Work/Life Balance!!! This Jobot Job is hosted by: Tony Barhoum Are you a fit? Easy Apply now by clicking the "Apply Now" buttonand sending us your resume. Salary: $115,000 - $155,000 per year A bit about us: We are a Leading multi-disciplined Engineering firm in the mid-Atlantic. We design mechanical, electrical, plumbing, and fire protection systems for public and private clientele. The firm's hallmark is a collaborative design process engaging all the stakeholders, discussing the advantages and disadvantages of engineering decisions, resulting in its signature - a value-based design that stretches the project budget by effectively balancing decisions on the aesthetic features and operational functions that are most important to the client. Founded in 1898, and celebrating 125 years in business, the firm is comprised of over 50 technical and support personnel. Headquartered in the Baltimore area and with a satellite office in Washington, DC, the firm serves clients in several market sectors and is actively engaged in a diverse portfolio of projects that include high-quality and unique projects. Why join us? • Hybrid Work Schedules, • Meaningful Work!, • Best in Class Firm!, • Competitive Compensation Package!, • Complete Benefits Package!, • Flexible Work Schedules!, • Accelerated Career Growth! Job Details Senior Electrical Engineer We are seeking Sr Electrical Engineer to join our Team. Successful candidates will 8+ years of Engineering Consulting experience. You will assist in the Design and Project Management of Commercial Projects. Software proficiency in AutoCAD / Revit. Must have strong analytical ability and excellent written & verbal communication skills. QUALIFICATIONS • BS/MS in Electrical Engineering or Architectural Engineering, • PE License Desired, • 8+ years of experience in designing and managing MEP Projects., • Proficient in AutoCAD and Revit Software, • Proven experience as an Electrical Engineer designing power and lighting building systems on complex projects., • Develop electrical designs from concept through completion of construction., • Prepare engineering design calculations and layouts., • Prepare detailed engineering reports and narratives., • Coordinate electrical design requirements with architecture, mechanical, and other disciplines., • Experience with Commercial, Government/Institutional, Educational, Healthcare, Hospitality, Mixed-Use, and Municipal Projects., • Ability to mentor junior level staff., • Excellent communication and interpersonal skills., • Demonstrated familiarity with Local Building Codes & Standards., • LEED Accredited Professional and previous experience participating in the LEED or other green rating system process, • Experience and interest in sustainable building design. Interested in hearing more? Easy Apply now by clicking the "Apply Now" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policyCompany DescriptionJobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values. Founded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA). Ready to find a good job? Create your profile today at Jobot.com.Jobot is on a mission to connect good people with good jobs. By combining AI-powered technology with the expertise of Jobot Pros, our experienced recruiters, we help you find career opportunities that align with your goals and values.\r\n\r\nFounded in 2018 and employee-owned since 2024, Jobot is committed to fostering a culture of kindness, respect, innovation, and connection. As an industry leader, we’ve been recognized as a top workplace by Forbes, Fortune, USA Today, and Staffing Industry Analysts (SIA).\r\n\r\nReady to find a good job? Create your profile today at Jobot.com.

Job Description Principal RF Design Engineer - SME Communications/Electronic Warfare $10,000 Signing Bonus | Relocation Assistance Provided | Location: Huntsville, Alabama We are seeking a highly experienced Principal RF Design Engineer to serve as a Subject Matter Expert in advanced communications and electronic warfare systems. This role is based in Huntsville, Alabama, and includes relocation assistance along with a $10,000 signing bonus. Position Type: Full-Time | Hybrid Pay Range: $165k - $250k annually with annual bonus potential Why Join Secmation Secmation is a proven, mission-focused engineering company with more than a decade of success delivering real capability to the defense community. We operate with the speed, ownership, and tight-knit culture of a small business-backed by the credibility and track record that comes from 10+ years of successful execution. Here, engineers build systems that matter, move fast, and ship technology that directly impacts national security. Join the future of Electronic Warfare Secmation is hiring a Principal RF Design Engineer that will be responsible for leading the development of complex military communications and electronic warfare. This position requires you to be a Subject Matter Expert in RF and communications design and countermeasure development for mission critical applications. The ideal candidate will be a principal-level, hands-on development engineer with deep expertise in RF design for tactical military communications systems, including SDR, SATCOM or advanced Radar systems. This individual will not only lead technically at the program level but will also be directly involved in the full engineering lifecycle-from initial design through real-world testing, validation, and operational implementation. This position is based in Huntsville, AL, working closely with key defense customers to drive advancements in military communications. In this role, you will lead cutting-edge initiatives that push the boundaries of electronic warfare technology and contribute to mission-critical programs. You will have the opportunity to shape the future of secure, resilient communications for the warfighter, influencing solutions from concept to deployment in support of national security. Key Responsibilities: • Lead the design and development of advanced RF, radar, communications, and EW systems-including receivers, transmitters, front-end architectures, and tactical military communication solutions., • Provide SME-level guidance across Electronic Support, Attack, and Protection (ES/EA/EP), applying deep knowledge of radar, COMINT, SIGINT, and threat modeling to shape system concepts and architectures., • Develop and refine system models, simulations, and signal-processing algorithms in MATLAB/Python, transitioning concepts from analysis to embedded implementation., • Drive systems engineering activities, including requirements development, system architecture, trade studies, and preparation for major design reviews (SRR, PDR, CDR)., • Lead integration and test of RF/EW systems in lab and field environments, developing HWIL approaches, automated test procedures, and resolving complex RF or interoperability issues., • Must have an active DoD Top Secret Clearance, • BS in Electrical Engineering or related discipline, • 15+ years' experience in military RF systems including simulation, system design, software, and implementation of communication systems and EW, • Proficient in the design, implementation, and analysis of military communication systems including adaptive tuning, optimization, and error correction, • Experience in C/C++ for embedded applications, • Experience in Electronic Warfare (EW) system design and applications, • Ability to work in a fast-paced, entrepreneurial environment as part of a small team and execute complex development tasks with limited supervision. Work Environment • Hybrid role with on-site work required in Huntsville, AL., • Core work hours are Monday to Friday, with flexible 9/80 work schedules. Secmation is a proven, high-impact small business with over a decade of mission success-offering technical leaders the rare opportunity to shape both cutting-edge technology and the engineering culture behind it. As part of our leadership team, you'll guide technical strategy, mentor engineers, and help deliver capabilities that redefine what's possible for defense missions. In this role, you'll lead the development of next-generation RF and cyber-integrated systems, bringing together AI-enabled RF analysis, trusted execution, and secure digital-engineering pipelines to build technology where security is designed in from day one. You'll drive architecture and product roadmaps that enable earlier detection of cyber/EW risks, faster adaptation in the field, and a smoother path from concept to deployed capability. Your leadership will directly influence products that change the defense landscape and equip mission operators with smarter, more secure tools. At Secmation, you won't be just another engineer - you'll be part of the core team shaping the future of secure, autonomous, and AI-driven defense systems. Small company. Big mission. Real engineering. Compensation & Benefits • Competitive salary (based on experience and market conditions), • One-time signing bonus, • Relocation assistance, • Company equity, • 9/80 work schedule (every other Friday off), • Paid time off & flexible work schedules, • Comprehensive health, dental, and vision insurance, • Life and disability insurance (short & long-term), • 401(k) retirement benefits plus employer contributions, • And more! About Secmation Secmation is not an IT company - we specialize in AI-driven software solutions, embedded cybersecurity, and secure RF systems for the defense industry. Our mission is to deliver next-generation secure technologies for electronic warfare, autonomous systems, and critical defense applications. Visit to learn more about our work and impact. Equal Opportunity Employer Secmation is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive team. All qualified applicants will be considered for employment without regard to age, race, gender, orientation, identity, religion, or veteran status. U.S. Citizenship is required for this position due to government clearance requirements. The salary range for this position represents a general guideline; however, Secmation considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills, work location, current market conditions, and other bona fide data. This position qualifies for a discretionary performance-based bonus which is based on personal and company factors.

Job DescriptionSalary: Applications should be local to Baltimore Maryland Product Development Engineer - Mechanical Engineer About Us: At Harbor Designs & Manufacturing we understand our clients unique products call for unique solutions and we pride ourselves on working with them as an extension of their team. Unlike traditional product design and contract manufacturing firms, we serve our clients as fractional product managers and our engineers create custom-tailored solutions as our clients that evolve as their product or companys needs evolve. Their core technology is their differentiator and it will be your job as part of our team to help empower them to transform their innovative ideas into cost effective products sold around the world. As an ISO 9001 & ISO 13485 certified design and manufacturing firm, we serve clients in the medical device, consumer product, transportation, and defense markets.Services include product management, research and development, industrial design, mechanical engineering, electrical engineering, embedded system development, app development, prototyping, FDA & regulatory guidance, global supply chain management, in house and off shore technical and clean room assembly, warranty repair service, quality assurance, and logistics and inventory control. About You: As an experience product development engineer or mechanical engineer, your job will be to work with clients, industrial designers, and other internal stakeholders to execute on designs that can be prototyped and tested, and designs that are optimized form manufacturing (DFM). Your experience with Solidworks make you a pro at executing new designs and revisions to existing designs in CAD, and generate the dimensioned drawings with the appropriate level of detail and tolerancing for intended manufacturing. We will be hiring multiple positions and are open to a range of experience, but any experience or particular interest in specific industries will be matched to projects accordingly. Main Responsibilities: • Complex part design for plastic injection molding experience required, • Design for Manufacturing experience and production process knowledge required (thermoforming, sheet metal, injection molding, casting, extrusion, etc), • Multi-part plastic design and assembly experience required, • Wire Harness/Wire Routing Design experience required, • Create 3D CAD models of designs using Solidworks and prepare 2D drawings that convey the design for manufacturing and assembly purposes., • Work closely with the customer to capture their design intent and to communicate general project details., • Complete product designs for projects ranging from small private inventors to large companies developing new products and support them from concept, detailed design, prototype, manufacturing, to assembly and packaging., • Provide creative and innovative solutions to design challenges presented in projects ranging from biomedical, defense, rail, agriculture, exercise equipment, pharmaceutical, household devices, etc, • Develop and build protocols and fixtures for component validation testing of new product designs., • Complete finite element analysis of product components and assemblies using Solidworks, • Project planning and management of customers and suppliers, • Strategically source component suppliers and work with sourcing team to select manufacturers for new designs., • Communicate designs with manufacturers and component suppliers and source cost effective products., • Experience talking to manufacturers Desired Skills/Qualifications: • Motivated, • Leader, • Must be an Innovator that has excellent attention to detail and troubleshooting, possesses fabrication and electrical skills., • Proficient in Solidworks - PDM, • Microsoft Office (Excel, Word, Outlook, Teams, etc), • Strong verbal and written communication skills, • Self-motivated, • Enjoys working on challenging designs within a team atmosphere Desired Experience: • Strong CAD background, • Willingness to grow, • Plastic design experience, • SOLIDWORKS experience 2-5 years Benefits: • Unlimited Paid Time Off (UPTO) Policy, • Bereavement leave, • Paid sick days, • Short Term Disability (paid by company), • Long Term Disability (optional), • 401(k) (optional), • Health/ Dental/ Vision insurance (paid in part by company), • Health savings account, • Life insurance (paid by company)

Job DescriptionCompany DescriptionAlertus, protecting people from harm is our mission and our passion. As the leader in mass notification, we are committed to providing customizable, scalable, and cost-effective solutions, as we know even a few seconds of warning can help save lives during an emergency. Our employees are integral to the company’s success and impact countless people's lives, safety, and well-being. We aim for a positive, collaborative environment that allows employees to work across departments easily and effectively. Job DescriptionWe are looking for a high energy professional to make a meaningful impact on Alertus, its customers, and the mass emergency notification industry. In this role, you will be responsible for developing and applying product knowledge specific to Alertus Technologies’ emergency notification products and services while serving as the subject matter expert on assigned products and services. You will be responsible for supporting technical publications, product training, product management activities, solution design, and product demonstrations. Our ideal candidate possesses a technical aptitude, a strong work ethic, collaborative communication skills, and an ability to thrive in a fast-paced environment. Additionally, the candidate will be someone who finds purpose in providing the best possible solution to mitigate gaps in our customers’ critical communication strategy. A Day in the Life: • Work with the Product Management and Sales Engineering Team to develop product knowledge and assist in maintaining Alertus’ many demo environments, • Assist in identifying customer requirements and conveying requirements to the product development teams to ensure requirement understanding, • Conduct market research using tools such as surveys, desktop research, and customer calls to assist in analyzing market trends, customer feedback, and other sources to influence product strategy, • Participate in sales and product meetings as assigned to collaborate and strategize with business and engineering teams, • Demonstrate Alertus’ core products and services as assigned, • Participate in qualifying system integration opportunities and assist in implementing, testing, and documenting integrations, • Assist the Technical Writing Team in drafting and reviewing product documentation, • Participate in product training development and delivery to support Alertus employee professional development, • Assist with new product releases and eventsRequired Skills:, • Basic understanding of application programming interfaces (APIs) and webhooks, • Ability to learn complex concepts and communicate them to technical and non-technical individuals, • Energy, passion, enthusiasm, and a positive attitude, • Exceptional organization, time management, and prioritization skills, • Unmatched verbal, written, and interpersonal communication skills, • Ability to become an expert assigned to Alertus products and servicesEducation and Experience:, • BA/BS in Computer Science/Engineering, Information Technology, Electrical Engineering, or related field, • Academic or practical experience with Java and Python, • Demonstrated ability to articulate the value proposition of product functionalitiesAlertus Career Advantages:, • Unlimited Paid Time Off, • Paid Holidays, • 401(k) Retirement Plan, • Medical, Dental, and Vision Plans, • Short-term Disability, Accident, Hospital, and Cancer Insurance, • Live Near Your Work Homebuying Incentive Program, • Employee Referral Bonuses We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior Manager, AI Engineering (People Leader) 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. * Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Make high judgment build-vs-buy decisions across 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. * Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. * 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 1 year of people leadership experience Preferred Qualifications: * 3 years of experience managing and leading an engineering team * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 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 * 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. Mgr, AI Engineering McLean, VA: $225,400 - $257,200 for Sr. Mgr, AI Engineering New York, NY: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Francisco, CA: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Jose, CA: $245,900 - $280,600 for Sr. Mgr, AI Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Successful, growing engineering firm looking to add a Mechanical HVAC Design Engineer to the team. This position includes both design and project management. We work on various building types with a wide range of mechanical and plumbing systems. Responsibilities include: • Perform job site visits – pre-design field work, pre-construction, during construction and final inspection., • Perform mechanical calculations, provide code research and design HVAC and plumbing systems., • Prepare construction drawings using AutoCAD., • Must have 5+ years in mechanical HVAC design, • Proficiency in AutoCAD and MS office suite, • EIT/PE preferred, but not required #MechanicalContractor #HVAC #Libertyjobs #Associate Company DescriptionLibertyjobs.com has become an essential destination site for experienced job seekers. Our recruiters are continually posting active job openings to the website. Feel free to search our database of open positions and apply for your next career move! Hundreds of new jobs are listed on the site every month in a wide range of industries and locations. Last year we had over 900,000 unique job seekers visit our website, which means over 75,000 skilled job seekers search our openings every month. Established in 2003, Liberty Personnel quickly grew into one of the largest technical recruiting agencies on the East Coast. Today, Liberty Personnel has a national presence and a diverse client base. Listed below are a number of the industries and openings we work on: Information Technology, Software Programmers, Engineering, Manufacturing, Legal, Plant Maintenance, Construction, Oil and Gas, Medical Communications, Accounting, Finance, Electronics, Scientific, Medical Device, Sales, Pharmaceutical, Admin, Automation, Controls, Civil, HVAC, Wastewater, Structural, Electrical, Chemists, Validations, Logistics, Food Production, Renewable Energy and Machinists.Libertyjobs.com has become an essential destination site for experienced job seekers. Our recruiters are continually posting active job openings to the website. Feel free to search our database of open positions and apply for your next career move!\n\nHundreds of new jobs are listed on the site every month in a wide range of industries and locations. Last year we had over 900,000 unique job seekers visit our website, which means over 75,000 skilled job seekers search our openings every month.\n\nEstablished in 2003, Liberty Personnel quickly grew into one of the largest technical recruiting agencies on the East Coast. Today, Liberty Personnel has a national presence and a diverse client base. Listed below are a number of the industries and openings we work on:\n\nInformation Technology, Software Programmers, Engineering, Manufacturing, Legal, Plant Maintenance, Construction, Oil and Gas, Medical Communications, Accounting, Finance, Electronics, Scientific, Medical Device, Sales, Pharmaceutical, Admin, Automation, Controls, Civil, HVAC, Wastewater, Structural, Electrical, Chemists, Validations, Logistics, Food Production, Renewable Energy and Machinists.

Job Description At FST we are experiencing an exciting period of growth and are continuing to be a trailblazer in the industry while holding true to our core values: innovation, safety, service, accountability, fellowship and expertise. Our success is a direct reflection of the talent and dedication of our extraordinary team. We are looking for motivated people as we head into this exciting new chapter. Join us in making a positive impact each day in the building construction industry! About the job: • An Electrical Commissioning project engineer reports to a team leader and is responsible for the delivery and execution of our professional services tasks for equipment in electrical, mechanical, plumbing, and associated systems., • Primary activities include completing office assignments, time and expense management, in-field installation validation, field observation reports, functional performance testing, meeting attendance and documentation, on-site and factory witness testing, submittal reviews, and design documentation evaluation., • Additional activities include executing target billable hours, managing tasks within time budgeted, leading cx meetings, assisting the construction team with identifying/solving technical issues when they arise, and maintaining positive relations with existing clients on assigned projects., • Administrative activities include supporting the team leader in coordinating with other project engineers and senior project engineers regarding weekly staff scheduling, training/mentoring team members on proper documentation, field procedures, and equipment usage, and participating in the company-wide safety and training programs., • Completed a Bachelors Degree in HVACR or Electrical Engineering, construction management or an associates degree in engineering technology or related trade school, construction, maintenance, or engineering controls experience, • 5+ years employment in a staff or intern position related to maintenance, construction, or engineering controls or 1+ years in the Cx industry, • 3+ years of experience managing the interconnectivity of building equipment including pumps, fans, motors, air ventilation, chillers, boilers, steam distribution, heat absorption, building automation systems, optimization techniques, electrical distribution, and fire alarm systems., • Knowledge of construction drawings, specifications, bid process, and ancillary industry documents, • Aptitude to solve problems independently and in a team environment, • Affective verbal and written communication skills, • Public speaking and presentation skills, • Adaptability to varying indoor and outdoor working conditions, • Physical fitness, capability to lift at least 30 pounds, and ability to climb ladders, • Trade association involvement, • EIT, ACP, CEM or similar certification from experience, • OSHA 10 or other safe workplace certifications 1O2bfcA1jw

Job Description The Operations Manager for the University of Maryland Express Care (MEC) program is responsible to fill the roles of the MEC Emergency Vehicle Operators (EVOs) first and foremost, and above and beyond is expected to be the mentor, leader, coach, for other MEC EVOs. The Operations Manager for MEC supervises and coordinates daily operations at MEC Baltimore, MEC Easton, and MEC Aberdeen operational bases for all BMT EVOs. The Operations Manager for MEC in coordination with the Operations Supervisor for MEC will share their time between all bases throughout the week, with their primary base being the Baltimore Base, with the expectation that the other bases will be visited no less than three times per month per base, or more as operations require. The Operations Manager for MEC is the leadership designee of Butler Medical Transport (BMT) at MEC. In addition, they will act as an arm of MEC leadership team ensuring the highest level of professionalism is maintained, and all expectations are exceeded in providing the best possible of critical care ground transport service. The Operations Manager for MEC will be the first line of contact for not only EVOs but also the MEC clinical crews to ensure the fleet is always operationally ready. If deficiencies are found, the Operations Manager for MEC will ensure that there is a plan of action in place to rectify them as soon as possible, and that the plan has been effectively communicated to all stake holders. Additionally the Operations Manger for MEC, will work collaboratively with UMMS MEC leadership on projects, analytics, safety, and audits to ensure that the joint venture program continues to operate at its highest level, and is constantly enacting progressive measures for improvement in operational readiness, clinical care, as well as safety. The Operations Manager for MEC leadership shifts will rotate weekly on a four on two off basis, with the Operations Supervisor filling the two days the Operations Manager is off to ensure 7 day a week coverage. While the Operations Manger for MEC is primarily Administrative for eight hours a day, they will be the first point of contact for the entire twenty-four operational period in case of emergency. Qualifications and Education Requirements • Valid driver’s license, • ALS Driving Endorsement within 30 days of hire., • 1-2 years of leadership experience., • Graduation From High School or equivalent., • 19 years old or older at time of hire for insurance purposes., • Successful completion of NREMT certification, • Must maintain a current MD EMT Basic card or higher, • Must maintain a current DC EMT Basic card or higher, (or ability to obtain within 30 days of higher), • Current AHA CPR Card, • Must possess a current driver’s license and be approved and maintain ability to drive company vehicles, • Must lift a minimum of 200lbs without assistance, • Must pass a pre-employment drug screen, and all subsequent random or for cause drug screening, • Ability to pass a pre-employment background check., • Ability to speak, read, and write English., • Must be approved by the MEC Leadership, • Must be available for recall in times of crisis, • Must successfully complete the MEC EVO Orientation Program, • Must be available for 24 hours of call on assigned days to work as the Manager, • 1+ year of experience in a critical care ambulance program, • Minimum of 1 year of prior Supervisory experience with a similar scopeRole and Responsibilities, • Assist in the development and implementation of MEC standard operating practices, policies, and procedures, • Participates in MEC’s shared governance structure and assumes leadership role for projects/programs originating from shared governance., • Reviews and maintains quality improvement records (i.e. tracking of blood products) for MEC operations, as agreed upon by BMT and MEC leadership., • Ensure that all medic units are in constant compliance with local, state, and federal regulations, • Act as an EVO in the event of an EVO vacancy in the schedule because of call-off, lateness, or an EVO leaving early, • In times of emergency, collaborates with MEC leadership team to ensure continuity of operations to include functioning as a EVO, • Ensure that the MEC EVO schedule is always completed and full for a minimum of four weeks in the future, and collaboration with MEC leadership team for schedule development., • Ensure that all EVOs are properly trained and educated on all operations regarding MEC/ BMT; perform retraining and coaching as necessary, • Oversees onboarding of new employees to MEC operations, and ensures all MEC and BMT documentation requirements are complete prior to new hire coming off of orientation, • Verify that daily all EVOs are completing the “EVO Ambulance Checklist” on all ambulances onsite at MEC a minimum of either once a shift for primary units or once daily for backup units, • Oversee all aspects of the maintenance of the ambulances, ensuring that they are regularly serviced no less than every 10k miles for a complete PM by the mechanic, and a replacement is available to ensure continuity of operations. All PM should be communicated in advance to MEC leadership team., • Work to ensure load balancing of all MEC branded ambulances in accordance with a joint plan between both leadership teams, and BMT’s Fleet Manager, • Facilitate the timely movement, and rotation of ambulances as necessary for service by the BMT Fleet Management Department, • Ensure all required clinical equipment is removed from ambulances prior to an ambulance leaving MEC for maintenance, and replacing all equipment when it returns from maintenance, • Investigate any truck technical failures, to include modems, and either corrects or replaces truck technology to appropriate working order, • Investigate all reported ambulance deficiencies, and take the appropriate corrective action, as well as report the corrected action, • Identify any failures of electrical cords and or outlets, and notify engineering on the day of discovery to ensure corrective action, • BMT Samsara facial identification, and team member coaching as necessary, • Prior to daily departure, the operations manager will verify that all ambulances are connected to shorelines. If there are any noted shoreline or shoreline outlet deficiencies, immediately report to engineering for repair., • Prior to daily departure, the operations manager, will ensure that all necessary climate control measures are in place for ambulances not currently engaged in patient care., • Interact with MEC senior management in a respective and professional manner, addressing their concerns in a timely manner and/or notifying a member of BMT senior management of assistance needed within 24 hours, • Ensuring the operational readiness of BMT backup unit onsite, • Coordinating any issues between University of Maryland Access Center and BMT Medical Communications Centers when necessary, • Conduct disciplinary actions for employee's who violate or do not uphold the policies and procedures set forth by BMT and MEC, • Maintain an open line of communication and accessibility by phone during your entire 24-hour shift 8 hours on campus and 16 hours on call for a maximum of 24 hours, • All concerns brought to the operations manager’s attention, will have a plan of action or resolution within 24 hours of notification. The plan of action and resolution will be communicated in a timely fashion to MEC leadership., • Be available for immediate call back in times of extreme weather or local disaster, • Other duties as assignedPreferred Skills, • Excellent leadership and mentoring capabilities, • Problem solving #HP

Job Description LEAD COMPUTER SCIENTIST - PRINCIPAL COMPUTER SCIENTIST - PRINCIPAL ENGINEER - Signal Intelligence - Hanover, MD Who We Are: Ongoing threats to national security require timely intelligence data, including signal intelligence obtained through electronic surveillance. Since the 1940s, Our Client has supported U.S. and friendly foreign governments, as well as commercial clients. Objectives of this Role: • Provide technical leadership/supervision in direct support to USG operations for communications and geolocation systems., • Plan, coordinate, collaborate and assist in controlling the progress of project work in these technical areas to meet client objectives., • Assist in creative, innovative solutions to support operations issues and modernizations through the application of advanced theory, algorithms, concepts, and practices in communications intelligence., • Provide expertise in System Engineering and support for program development in emerging technology which can be applied to Collection and Operations, • Leadership/Technical Supervision of system development for the processing of modern communications signals in the HF and VHF/UHF frequency ranges., • Work with U.S. Government Operations to help gather information in the operation of the HFDF network., • Plan, coordinate, and assist in controlling the progress of project work in various technical areas, in order to meet client objectives., • Prepare and present research and test readiness reports to clients., • Coordinate and prepare technical demonstrations to clients, working directly with the operators and acquisition offices., • Support testing of patches and new baselines for operational systems., • Requires a Bachelors, Masters or a PhD in Computer Science, Systems Engineering, Computer Engineering, Software Engineering, Mechanical Engineering or Electrical Engineering, • Must have a current/active TS/SCI with full scope polygraph., • 10-12 years: Required experience with with RF Systems and geolocation techniques, as well as the associated RF and Geolocation theory and collection techniques and challenges in the RF Spectrum. Experience with USG mission/operations related to HFDF operational systems., • 10-12 years: Highly proficient at writing requirements, design documents, and test plans associated with the requirements. Assisting in the decomposition of the requirements to developers and developing use cases for testing. Reviewing materials and providing valuable input., • 10-12 years: Excellent communicator, both written and verbal, with the ability to communicate at the level of non-technical and technical customers and teammates., • 10-12 years: Highly proficient in requirements databases, project tracking tools such as Atlassian products, highly proficient in Microsoft products., • A valid/clear driver's license is required. Work assignment is in Maryland. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen. Job Locations: Maryland

Job Description Job Title: Electrical Test Technician up to $26 Job Description The Electrical Test Technician will be responsible for conducting comprehensive testing of electrical switchboards and power distribution equipment to ensure compliance with UL standards and customer specifications. This role requires strong technical knowledge, attention to detail, and commitment to maintaining product integrity and safety. Responsibilities • Perform electrical testing on switchboards including dielectric testing, mechanical operation verification, and control wiring validation., • Execute quality control inspections according to UL 891 and NEC standards., • Accurately record inspection results, test data, and any quality-related findings., • Maintain detailed reports for use by management and for compliance purposes., • Monitor production processes to ensure consistency and adherence to approved specifications., • Identify potential issues and deviations early in the process., • Ensure that all products and processes comply with internal quality standards, as well as applicable industry regulations and certifications., • Investigate and resolve quality issues by collaborating with production and engineering teams and identifying root causes., • Recommend corrective and preventive actions., • Participate in quality improvement initiatives, suggesting process adjustments to enhance product quality and reduce waste., • Ensure all testing and inspection equipment is properly calibrated and maintained., • Follow all safety procedures and maintain a safe working environment., • Work closely with production teams and engineers., • Minimum associate degree in electrical technology or significant experience with UL 891 and NEC standards., • NETA certification or similar electrical testing certifications., • Previous experience of minimum 2 years testing industrial electrical equipment., • Experience using Hi-pot testers and multimeters., • Knowledge of basic electricity, current flow, and component functionality., • Knowledge of quality control processes and techniques., • Familiarity with inspection tools and testing equipment., • Ability to read, comprehend, and interpret manufacturing documents, component literature, engineering drawings, and testing procedures., • Understanding of electrical theory and power distribution systems., • Knowledge of NFPA 70E requirements preferred., • Attention to detail with high level of accuracy in inspection and testing procedures., • Strong analytical skills and the ability to troubleshoot and resolve quality-related issues effectively., • Good verbal and written communication skills in English., • Physical ability to stand, walk, sit, reach, stoop, lift, carry, push, pull, and grip. Join a high-growth manufacturing business comprised of three recently merged companies, with opportunities for advancement into different roles including quality and machine operating. Benefit from being part of a team committed to electrifying the world’s infrastructure and enjoy opportunities to transfer within multiple companies under the merged entity. Extensive training and development opportunities are provided, ensuring personal and professional growth. Work Environment The role is based in a brand new facility with about 200-250 people on site once fully operational. Candidates are required to wear steel toed boots, with safety glasses provided, and must wear long pants and long sleeves or cut-resistant sleeves. The work environment is a manufacturing floor, exposing candidates to noise, machinery, and varying temperatures. The position requires standing or walking for long periods and occasionally lifting up to 25–50 lbs. The role operates on a rotating shift, 2-2-3 from 6 am to 6 pm, with a week of training upon starting. Job Type & Location This is a Contract to Hire position based out of Hanover, MD. Pay and Benefits The pay range for this position is $25.00 - $35.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision, • Critical Illness, Accident, and Hospital, • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available, • Life Insurance (Voluntary Life & AD&D for the employee and dependents), • Short and long-term disability, • Health Spending Account (HSA), • Transportation benefits, • Employee Assistance Program, • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully onsite position in Hanover,MD. Application Deadline This position is anticipated to close on Dec 17, 2025. About Aerotek: We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meets their goals, skills and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role solving for companies’ construction, manufacturing and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are everything spirit to the test as your career continues to grow. Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance, health advocacy and employee assistance programs, a 401(k) plan, and employee discounts. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. Company DescriptionWe know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.

Job Description LEAD COMPUTER SCIENTIST - LEAD ENGINEER - RF & Geolocation - Hanover, Maryland Who We Are: Ongoing threats to national security require timely intelligence data, including signal intelligence obtained through electronic surveillance. Since the 1940s, our client has supported U.S. and friendly foreign governments, as well as commercial clients. Objectives of this Role: • Provide technical leadership/supervision in direct support to USG operations for communications and geolocation systems, • Plan, coordinate, collaborate and assist in controlling the progress of project work in these technical areas to meet client objectives, • Assist in creative, innovative solutions to support operations issues and mondernizations through the application of advanced theory, algorithms, concepts, and practices in communications intelligence, • Provide expertise in System Engineering and support for program development in emerging technology which can be applied to Collection and Operations, • Work on developing new areas of work with the Operations areas concerned with system/network performance Daily and Monthly Responsibilities: • Leadership/Technical Supervision of system development for the processing and operations of RF and/or Geolocation systems., • Work with U.S. Government to help gather information on the use, requirements, and modernization of operational collection systems., • Plan, coordinate, and assist in controlling the progress of project work in various technical areas, in order to meet client objectives., • Prepare and present research and test readiness reports to clients., • Coordinate and prepare technical demonstrations to clients, working directly with the operators and acquisition offices., • Support testing of patches and new baselines for operational systems., • Attend technical and vendor symposiums and conferences with the local area. Requirements: • Requires a Bachelors, Masters or a PhD in Computer Science, Systems Engineering, Computer Engineering, Software Engineering, Mechanical Engineering or Electrical Engineering., • Must have a current/active TS/SCI with active polygraph., • 8-10 years: Knowledge of RF and geolocation theory and operational techniques., • 8-10 years: Highly proficient at writing requirements, design documents, and test plans associated with the requirements. Assisting in the decomposition of the requirements to developers and developing use cases for testing. Reviewing materials and providing valuable input., • 8-10 years: Excellent communicator, both written and verbal, with the ability to communicate at the level of non-technical and technical customers and teammates., • 8-10 years: Highly proficient in requirements databases, project tracking tools such as Atlassian products, highly proficient in Microsoft products., • A valid/clear driver's license is required., • Salary Range: $113,360 - $188,968 Special Requirements: Work assignment is in Maryland. Applicant selected will be subject to a government security investigation and must meet eligibility requirements for access to classified information. Applicant must be a U.S. citizen. Job Locations: Maryland

Job Description Procon is a top-ranked construction management and technology consulting firm with 25 years of experience delivering high‑impact projects across the U.S. and worldwide. An ENR Top 100 CM/PM firm for five consecutive years, we specialize in program management, project controls, commissioning, and virtual intelligence—and offer an excellent platform to grow your career while shaping the future of the built environment. Procon now seeks a Mechanical Engineer for a long term opportunity in the Baltimore, MD area. The ideal candidate will review blueprints, monitor construction progress, examine interior/exterior work, utilizing survey instruments to verify completed work, taking photographs and maintaining a log. This role requires various skills and experience as listed below. Requirements Qualifications & Skills • A minimum of 10 years of experience, along with a bachelor's degree in Mechanical Engineering., • Government project experience required., • Skilled in preparing professional correspondence and maintaining accurate, organized construction site records., • Proven experience leading and facilitating meetings to resolve construction project issues, while effectively briefing clients and management teams., • Comprehensive knowledge of construction practices, materials, and installation methods, ensuring high standards of workmanship and compliance., • Extensive experience interpreting construction drawings, blueprints, and specifications to guide project execution., • Proficient in accurately estimating construction costs and schedule impacts for project changes, including performing material take-offs, pricing work, evaluating proposals and bills of materials, and negotiating fair contract adjustments., • Experienced in inspecting materials, workmanship, and installation of building systems—such as fire alarm and safety systems—to ensure compliance with project specifications and quality standards., • Well-versed in construction safety protocols, with a strong understanding of OSHA requirements and best practices for maintaining safe job sites. Responsibilities & Duties • Multi-trade complex building construction and renovation inspector, responsible for scheduling, coordinating, performing general field inspection for all disciplines. Inspects work at the site(s) for contract and code compliance, proficient with construction management software like E-Builder. Recommend approvals or rejections of materials and workmanship as appropriate; monitor labor and safety requirements; complete written inspection reports, records of defects; and omissions; and similar activities., • Responsible for quality assurance of the overall project, including evaluating workmanship, quality of work, and inspecting work per construction documents (drawings/specifications)., • Lead and coordinate on-site inspection activities for government construction projects to ensure full compliance with contract documents, design specifications, and applicable federal, state, and local regulations., • Serve as the primary liaison between the consulting firm, government client representatives, contractors, and design teams to facilitate clear communication and timely resolution of construction issues., • Oversee and document daily construction progress, verifying that all work conforms to approved plans, specifications, and quality standards., • Conduct thorough inspections of materials, workmanship, and installation methods for architectural, structural, mechanical, electrical, plumbing, and life safety systems., • Prepare detailed field reports, non-conformance notices, and photographic documentation to support project records and client deliverables., • Review and interpret drawings, submittals, shop drawings, and Requests for Information (RFIs) to confirm adherence to design intent and contractual requirements., • Evaluate and verify contractor pay applications, change order requests, and construction schedules for accuracy, completeness, and fairness., • Lead and participate in progress meetings, quality control reviews, and safety inspections to promote accountability and project alignment., • Monitor contractor compliance with health, safety, and environmental standards, including adherence to OSHA and government-specific safety regulations., • Provide technical guidance and mentorship to inspection staff, ensuring consistency and quality in inspection procedures and reporting. Salary commensurate with experience. Interested and qualified candidates please submit a cover letter and a resume. Procon offers competitive salaries and a comprehensive benefits package, including full medical/dental insurance and 401(K) plan. Procon is an equal opportunity employer and considers qualified applicants for employment without regard to race, gender, age, color, religion, disability, veteran status, sexual orientation, or any other protected factor.

Job Description FST Technical services commissioning (Cx) division is one of the leading Cx firms in the country. We partner with clients for quality assurance in the design, construction, and post-acceptance phases of building projects. We ensure that equipment in mechanical, electrical, plumbing, and associated systems are designed, installed, and functionally tested to meet the clients requirements and design intent. About the job: • A commissioning project engineer reports to a team leader and is responsible for the delivery and execution of our professional services tasks for equipment in mechanical, electrical, plumbing, and associated systems., • Primary activities include completing office assignments, time and expense management, in-field installation validation, field observation reports, functional performance testing, meeting attendance and documentation, on-site and factory witness testing, submittal reviews, and design documentation evaluation., • Additional activities include executing target billable hours, managing tasks within time budgeted, leading cx meetings, assisting the construction team with identifying/solving technical issues when they arise, and maintaining positive relations with existing clients on assigned projects., • Administrative activities include supporting the team leader in coordinating with other project engineers and senior project engineers regarding weekly staff scheduling, training/mentoring team members on proper documentation, field procedures, and equipment usage, and participating in the company-wide safety and training programs., • Completed a Bachelors Degree in HVACR, Mechanical or Electrical Engineering, construction management or an associates degree in engineering technology or related trade school, construction, maintenance, or engineering controls experience, • 5+ years employment in a staff or intern position related to maintenance, construction, or engineering controls or 1+ years in the Cx industry, • 3+ years of experience managing the interconnectivity of building equipment including pumps, fans, motors, air ventilation, chillers, boilers, steam distribution, heat absorption, building automation systems, optimization techniques, electrical distribution, and fire alarm systems., • Knowledge of construction drawings, specifications, bid process, and ancillary industry documents, • Aptitude to solve problems independently and in a team environment, • Affective verbal and written communication skills, • Public speaking and presentation skills, • Adaptability to varying indoor and outdoor working conditions, • Physical fitness, capability to lift at least 30 pounds, and ability to climb ladders, • Trade association involvement, • EIT, ACP, CEM or similar certification from experience, • OSHA 10 or other safe workplace certifications 7PeR4XVckE

Job Description Yorktel is always seeking new talent to join our team. Therefore, we are advertising some key positions within the company where we can collect and store potential candidates. By submitting your Resume for this specific posting, you agree to have your details kept on file and to be contacted as and when open positions become available. Please ensure your Resume has your most recent experience and up to date contact details. If you do not hear from us, it is because we are not currently recruiting for this position. York Telecom provides state-of-the-art audio-visual collaboration solutions to major government and commercial clients. Offering turn-key managed solutions, York Telecom has a proven track record of success in delivering technology and services such as video conferencing, campus video distribution, distance learning applications, television broadcast facilities, broadcast automation, online interactive multimedia video, network infrastructure, video call management, 24 x 7 maintenance and help desk support. Yorktel is currently seeking a Sr. Field Engineer who is focused on a fast-paced high-volume production and engineering department and staff. The Sr. Field Engineer is also responsible for meeting project commitments (both financial and non-financial) and the overall service of external customers. Responsibilities include but are not limited to strategic or operational planning within the field engineering departments, monitoring the performance of active projects, financial analysis to include job cost monitoring and reporting, staff training, adherence to standard operating practice and processes. Duties and responsibilities: This position regularly works in a team of individuals with varying degrees of expertise and influences internal and external customers to achieve a mutually desirable outcome. This position will trouble shoot issues, make recommendations to internal parties and customers in regard to concerns or issues, and ensure resolution of any problems working closely in conjunction with assigned team. This position must regularly communicate answers to complex questions and respond to detailed inquiries about technical issues and how to resolve these issues. This position handles and is expected to protect all internal and external confidential information and must utilize discretion and judgment based on company policies and procedures. • Provide technical support to the sales team in a comprehensive, thorough, detailed and time sensitive manner., • Intensive interface with clients and job sites to document customer requirements and job site conditions., • Provide and document customer design based on the client requirements and job site conditions., • Work directly with clients, architects, consultants and staff throughout the design development and delivery process with the support of the Supervisor., • Develop Statement of Work for each job based on system design and customer requirements., • Develop system design drawings including, but not limited to, audiovisual system diagrams, drawings and sketches; Design/Build and Bid/Build specifications; and operational capabilities narratives, etc., • Develop accurate job cost estimates for each job., • Provide technical response to the customer RFP/RFQ/RFI., • Be capable of working effectively and efficiently with support from other members of the engineering team., • Maintain complete and accurate project documentation and records., • Communicate effectively with internal staff, client representatives, cooperative trades and subcontractors., • Effectively coordinate and manage multiple system design projects., • Be responsible for successfully completing assignments on time and within budget., • Develop and conform to company technical standards and practices. Correctly interpret multiple formats of technical specifications; schematic drawings and architectural diagrams., • Knowledge of and adherence to York-VCA policies and procedures., • Create Scope of Work documents to reflect solution descriptions, capabilities, and limitations, • Present technical solutions to executive-level audiences at partner and client organizations, • Maintain ongoing knowledge of York-VCA processes and procedures as well as individual customer process’ and procedures, • Participate in transition activities to permit effective information transfer from pre-sales to implementation teams, • Create test plans for testing solutions in York-VCA and customer labs, • Perform testing in York-VCA and customer labs emulating live world environments, • Analyze customer networks to discern visual communications requirements, • Research technical issues involving the network and visual communications equipment, • Provide support for ad hoc and one-of-a-kind projects, • Work with manufacturers and vendors on current and future technologies and products to be able to select applicable technologies and products to present to clients., • Polycom/Tandberg/Cisco certified Videoconference Engineer (TCE/CVE/etc) certification desirable, • InfoComm CTS certification with Advanced CTS-D certification desirable, • Willingness to pursue and attend additional training related to performance of job., • Proficient in the use of computers and MS Suite (Outlook, Project, Excel and Word), • Polycom CVE certification preferred, • Proficiency in video network infrastructure commissioning and support processes, • Knowledge of video and audio-conferencing service standards, • Demonstrated or potential proficiency in the use of AutoCAD or Visio, or similar proficiency in the use of other diagrammatic software tools, • Knowledge of audiovisual, videoconferencing and IT products and applications, • High levels of Professionalism and Integrity, • High ability to work with peers, • Exceptional customer service skills, • Exceptional written, verbal, and interpersonal skills., • Excellent problem-solving skills, • Always maintain a professional attitude and appearance, • Extensive use of business computer systems including Microsoft Office applications such as MS Word, Excel, Outlook, and MS Project., • Domestic travel requiring multi-night stays within and at times outside the local work area, • Valid passport; International travel possible, • Valid U.S. driver’s license, • If permissible by applicable law, may be required as a condition of employment to complete a background check and/or drug test if required by law or by current or future contracts/clients/vendors, etc., • Education:, • A Senior Field Engineer in this role may have a degree in a related field such as audio engineering, electrical engineering, or computer science. A technical degree may not be required, but having one can be beneficial as it demonstrates a strong foundation in technical skills and knowledge. Additionally, certifications in specific AV systems, such as Crestron or AMX, can also be helpful., • Experience:, • A Senior Field Engineer in this role should have several years of experience working with audiovisual equipment and systems. They should have a thorough understanding of various AV systems, including design, installation, and troubleshooting. They should have experience leading a team of technicians and managing projects, including creating project timelines and budgets., • They should also have excellent communication skills and the ability to work well with clients to understand their needs and provide solutions., • Ability to lift and carry objects up to 50 lbs., • Frequent sitting, standing, and walking We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, disability status, Genetic information and testing, family and medical leave, sexual orientation and gender identity or expression, protected veteran status, or any other characteristics protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or otherwise oppose discrimination.

Job Description Location: Linthicum, Maryland Description: This is a cloud engineer position that will be expected to develop, deploy, and manage cloud infrastructure in Amazon Web Services and Microsoft Azure. This position collaborates with application and operational teams to architect technical solutions and write secure Infrastructure as Code (IaC) for provisioning and configuring the appropriate resources. Requirements: • Must be a US Citizen, • Must hold a US government security clearance at the Secret Level or Higher, • Must have a degree in one of the following: Computer Science, Electrical/Computer Engineering, Information Systems/Technology, Cybersecurity, Software Engineering, Data Science, Math or Physics., • Must have a minimum of 3 years professional post-graduation experience related to this position., • Experience with Terraform (preferred) or similar Infrastructure as Code (IaC) technologies, • Experience designing and deploying cloud solutions in Amazon Web Services or Microsoft Azure, • Excellent customer service and communication skills as well as the ability to prioritize and meet deadlines, • Experience deploying and managing resources in government cloud environments such as AWS GovCloud, Azure Government, or similar, • Experience with version control systems such as GitLab, GitHub, or similar, • Experience with CI/CD pipelines such as GitLab CI, GitHub Actions, or similar, • Experience with Configuration as Code (CaC) technologies such as Ansible, Chef, Puppet, or similar, • Experience with application development, • Experience with Kubernetes, • Professional certifications in cloud technologies, • Mission focused work environment, • Subsidized medical/dental/vision insurance, • HSA contributions, • 401k matching, • Holiday and Paid Time Off (PTO), • Monthly WAN parties & quarterly events Salary and other Compensation: The hourly rate of pay ranges from $43.27 - $79.33 The salary range for this position is subject not only to the hire's skills, education, expertise, and years of experience, but also to features of the final position offered to the hire: including, but not limited to the location of the position, clearance required for the position, and the contract associated with the position. See our Perks & Benefits page for a general description of benefits and other potential compensation benefits: About Us: At Cipher Tech Solutions, Inc. (Cipher Tech), we take great pride in supporting some of the most mission critical work in the Department of Defense and the Intelligence Community. The majority of our company is comprised of extremely talented software developers who write production tools which directly support one of two missions: digital forensics and malware reverse engineering. Digital forensics is the practice of extracting and processing evidence from computers, phones, tablets, cameras, flash-drives, and just about any other form of digital media. The results of our work are then used to support federal and military law enforcement, counterintelligence, and counter terrorist activities. Malware reverse engineering is the practice of analyzing malicious code. The goal of a reverse engineer is to understand how the malicious code works and determine facts such as: *How did it infect the victim's computer *What kind of information it is seeking to steal *How is it communicating with the author (actor) *Who that actor might be. Vaccination Notice: Please be aware that you are applying for a position to work as a federal contractor. As such, Cipher Tech will require, and your employment will be subject to, such vaccinations as are required by federal, state, and local law requirements. Important Security Clearance Information: Be aware that you are applying for a job that requires a U.S. Government Security Clearance. The U.S. government will not issue security clearances to recent users of illegal drugs. On your application to us, you must acknowledge that you have not engaged in any illegal drug use within the past twelve months (illegal drug use includes, but is not limited to, the use of illegal substances, the misuse of prescriptions, the misuse of over-the-counter substances, and the use of medical or recreational marijuana that may be deemed legal at the state level but is still considered illegal by the federal government). NOTE: CIPHER TECH WILL NOT DISCRIMINATE AGAINST ANY QUALIFIED APPLICANTS WITH A DISABILITY, INCLUDING ILLEGAL DRUG USERS WHO HAVE RECENTLY SOUGHT PROFESSIONAL TREATMENT FOR A DRUG PROBLEM. -- Cipher Tech is an Equal Opportunity Employer. All hiring and employment decisions are made on the basis of business requirements, performance, and merit with no regard to race, color, religion, sexual orientation, gender, gender identity, national origin, or other protected status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin. Job Posted by ApplicantPro

Job DescriptionSalary: $55$120 Hourly DOE Do you excel at bridging technical details with project execution? Join PEMCCO as a Project Engineer/Technical Analyst, where youll support the integration of engineering, design, and construction data into CPM schedules, risk analyses, and cost controls. In this role, your insights will help ensure projects are planned, monitored, and delivered with accuracy, efficiency, and a strong focus on outcomes. PEMCCO, Inc. is an Information Technology and Information Management (IT/IM) services firm. We assist our customers in maximizing existing and emerging technologies to achieve their desired business productivity objectives. Living the Culture and Making It Happen is the motto we live by. We Live the Culture by carrying out the tenets of our Core Values of Loyalty, Integrity, and Commitment to our Customers and Employees every day. We Make It Happen by following Smart Organization Healthy Organization (SOHO) principles for internal and external communications and the successful execution of projects. Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Essential Functions • Coordinate workbreakdown structure (WBS) alignment between design and construction teams., • Validate design deliverables for milestone consistency and scope completeness., • Support schedule risk modeling, float path analysis, and logic validation., • Manage changeorder and scopechange tracking logs., • Assist in preparing design coordination and submittal schedules. Competencies • Strong understanding of engineering design processes and construction sequencing., • Analytical ability to interpret technical drawings and integrate them into CPM schedules., • Effective communicator across multidisciplinary teams. Required Qualifications • Bachelors degree in Civil, Electrical, or Mechanical Engineering., • 58years of project engineering or technical analysis experience. Preferred Qualifications • EIT or PE license., • Experience with risk and schedule correlation using AcumenRisk or similar tools. Benefits • 15 days of Paid Time Off, • 11 Paid Holidays, • Medical, Dental, and Vision, • Voluntary Short-Term Disability, Life Insurance, Accident, Critical Illness, Hospital Indemnity, Whole Life Plus, Identity Theft, and Law Assure, • 401(k), • Employee Assistance Program (EAP) Compensation $95$120hourly,depending on experience, ability, and capability. The role requires full-time, on-site presence in Baltimore, MD. Candidates must be able to reliably commute; relocation expenses are not provided. PEMCCO, Inc. is an equal-opportunity employer. The Company does not discriminate based on race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, genetic information, military or veteran status, pregnancy, childbirth, and related medical conditions, or any other characteristics protected by applicable federal, state, or local law.

Senior Manager, AI Engineering (People Leader) (GenAI 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. * Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Make high judgment build-vs-buy decisions across 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. * Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example. * 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 1 year of people leadership experience Preferred Qualifications: * 3 years of experience managing and leading an engineering team * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 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 * 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. Sales Territory: $204,900 - $233,800 for Sr. Mgr, AI Engineering McLean, VA: $225,400 - $257,200 for Sr. Mgr, AI Engineering New York, NY: $245,900 - $280,600 for Sr. Mgr, AI Engineering San Francisco, CA: $245,900 - $280,600 for Sr. Mgr, AI Engineering Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Senior Lead Machine Learning Engineer As a Capital One Machine Learning Engineer (MLE), you'll be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You’ll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering. What you’ll do in the role: * The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following: * Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation). * Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment. * Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications. * Retrain, maintain, and monitor models in production. * Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale. * Construct optimized data pipelines to feed ML models. * Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. * Use programming languages like Python, Scala, or Java. Basic Qualifications: * Bachelor’s degree * At least 8 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Scala, or Java * At least 3 years of experience building, scaling, and optimizing ML systems * At least 2 years of experience leading teams developing ML solutions Preferred Qualifications: * Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field * Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform * 4+ years of on-the-job experience with an industry recognized ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow * 3+ years of experience developing performant, resilient, and maintainable code * 3+ years of experience with data gathering and preparation for ML models * 3+ years of people management experience * ML industry impact through conference presentations, papers, blog posts, open source contributions, or patents * 3+ years of experience building production-ready data pipelines that feed ML models * Ability to communicate complex technical concepts clearly to a variety of audiences Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $225,400 - $257,200 for Sr. Lead Machine Learning Engineer New York, NY: $245,900 - $280,600 for Sr. Lead Machine Learning Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 and Agentic AI) 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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, LLM Core and Agentic AI) 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 (Gen AI Platform Services, Agentic Systems) 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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, 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 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 (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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Job Description Protection & Control Engineer/Technician – Field Testing & Commissioning Travel-Heavy Field Role – Up to 80% Join a leading team supporting high-voltage substation projects across transmission, distribution, and generation environments. We’re looking for Protection & Control Field Testing Engineers at all experience levels to perform hands-on testing, commissioning, troubleshooting, and documentation of critical P&C systems. Candidates should expect five 10-hour workdays per week. What You’ll Do: * Test and commission P&C systems on high-voltage substations (15 kV – 500 kV) * Perform protective relay testing (SEL, GE, Basler, Beckwith) with Omicron or Doble test sets * Execute CT/PT verification, relay calibration, control scheme testing, and dynamic/static testing * Interpret electrical drawings, schematics, and logic diagrams; produce detailed field reports * Support Project Leads/Field Supervisors and manage clerical/project documentation What You Bring: * 5+ years in substation field testing (breakers, transformers, instrument transformers, P&C systems) * Proficiency with relay families: SEL-311L, SEL-387, SEL-487, SEL-421, SEL-351S, GE L90/D60, etc. * Experience with NETA, IEEE, NFPA, and related standards * Knowledge of test software: ProTesT, Protection Suite, ENOSERV RTS, Omicron Test Universe, AcSELerator Quickset * Ability to travel extensively (up to 80%) and lift 50+ lbs Preferred: * Bachelor’s in Electrical Engineering/Electrical Technology * Electromechanical relay testing and high-voltage commissioning experience (CTs, CCVTs, PLC/SCADA, DC systems) * IEC 61850 testing and commissioning experience Competitive pay and growth opportunities for skilled P&C engineers. Step into a role where every test, every relay, and every report matters.

Job DescriptionJob Title: Engineering Technician (E-Tech)Locations: Various Job Type: Full-Time Overview:We are seeking an experienced Engineering Technician (E-Tech) with hands-on experience in building batteries and power electronic converters. The ideal candidate will be responsible for assembling, testing, and troubleshooting complex systems with a focus on power electronics and energy storage solutions. This role is crucial to ensuring the efficiency and effectiveness of our products in meeting industry standards. Key Responsibilities:Assemble and test battery systems and power electronic converters.Perform troubleshooting and repairs on electronic components, ensuring the performance and quality of products.Collaborate with engineers to improve and refine designs and assembly processes.Conduct tests and inspections to identify performance issues in electrical and electronic systems.Maintain detailed documentation of procedures, modifications, and test results.Provide support in the design and development of new products, focusing on energy storage and power conversion systems.Ensure compliance with safety standards and protocols. Qualifications:3+ years of experience in building batteries and power electronic converters.Strong hands-on technical skills with a focus on power electronics.Experience in troubleshooting and repairing electronic components.Ability to read and interpret schematics, blueprints, and technical drawings.Familiarity with industry standards for battery systems and power electronics.Excellent problem-solving skills and attention to detail.Good communication and teamwork abilities. Preferred Skills:Knowledge of advanced battery technologies and power conversion methods.Experience in working with high-voltage systems and energy storage solutions.Familiarity with safety regulations in the electronics industry. Education:Associate's degree or technical diploma in Electrical Engineering, Electronics Technology, or a related field. Benefits:Competitive salary and benefits package.Opportunities for professional growth and development.Collaborative and innovative work environment.

Job Description Are you looking to take your career to the next level? If you have leadership skills, experience in electrical design and want to work with one of the fastest growing firms in North America, check out this amazing opportunity! Job Summary: The Lead Electrical Engineer will work in a fast-paced multi-discipline team environment and will be responsible for designing building systems and producing construction documentation for institutional projects in the higher education, government and healthcare markets. We are looking for a highly motivated Lead Electrical Engineer to join our Baltimore, MD team! The ideal candidate will have leadership skills to assist in building and leading their team! This is a great opportunity to move your career to the next level! Duties: • Lead project execution with a multi-disciplined team of engineers and designers., • Design electrical systems including lighting, power, fire alarm, telecom and security., • Develop calculations for lighting systems and associated controls., • Develop electrical system design calculations., • Prepare detailed design documents in REVIT., • Perform QA/QC design work., • Lead a project team and manage projects., • Coordinate with Owners and Architects., • Coordinate work with other disciplines., • Complete code compliance research., • Oversee and provide guidance to junior engineers., • Assist in the procurement of new work, including the development of client relations. Skills: • Excellent work ethic and attitude., • Interpersonal communication skills, combined with organizational skills, the ability to plan, balance and prioritize work., • Ability to lead a team as well as work as part of a team., • Proficiency in Autocad, Revit and MS Office required., • You are familiar with the codes, standards and design guidelines required., • You have experience with complex institutional projects required. Qualifications: • You have a minimum of 10 years’ design experience as a registered engineer., • You have a bachelor’s degree in electrical engineering or a related field., • You possess a Professional Engineer license, PE required., • You have LEED experience; certification is a plus., • Certified Energy Manager (CEM) status is a plus., • Work Authorization/Security Clearance, • Must be a US Citizen for Security Clearance requirements, • Active/Interim or ability to obtain Secret Security Clearance Location: Baltimore, MD - Hybrid (3 days per week in-office) Compensation: $155-170K Travel: 10% - 20% (locally and to other states such as Tennessee, West-Virginia, Pennsylvania, Oregon) About Us: Our clients work across a variety of industries providing integrated engineering and consulting services. Our clients specialized experience includes design for data centers, healthcare, science and technology, high-rise buildings, clean energy, education, and other building types as well as structural and building sciences, infrastructure asset management, advanced robotics, and more. Equal Opportunity Employment Statement: We provide equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state/provincial, or local laws. The client will accommodate the disability-related needs of applicants as required by law. Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. #LI-hybrid

Job DescriptionPosition: Senior Commissioning Project Engineer – Life Sciences & Advanced Manufacturing Company: FST Technical Services – Commissioning (Cx) Division Company Overview FST Technical Services’ Commissioning (Cx) Division is a leading provider of quality assurance in the design, construction, and post-acceptance phases of building projects. Our focus is on ensuring that mechanical, electrical, plumbing, and associated systems are properly designed, installed, and tested to meet client requirements and design intent. Position Summary A Senior Project Engineer is responsible for the planning and execution of multiple projects and resources and potentially serving as a subject matter expert on commissioning and consulting projects within a variety of manufacturing environments. You will gain top notch experience supporting projects in the advanced manufacturing and laboratory environments while interfacing with exciting clients in the pharmaceutical, medical device, microelectronics, semi-conductor and medical device industries. You will be leading projects that ensure reliable processes, promote patient safety and ensure that people live and work in facilities that operate as they are intended. Ideal Candidate Profile The ideal candidate will possess a blend of technical commissioning expertise and have previous experience within construction or upgrade of life sciences or advanced manufacturing projects. You will have the ability to multitask and have previous experience leading and managing multiple projects. RESPONSIBILITIES • Responsible for managing, scheduling and budgeting assigned projects., • Inform other project engineers and senior project engineers regarding staff scheduling., • As appropriate, provide troubleshooting and technical support on a variety of capital projects related to the construction and renovation of manufacturing and laboratory spaces, new / upgraded utility and infrastructure systems, and controls related projects., • Serve as an Owner’s Project Manager on new construction and upgrades within the life sciences and related industries., • Executing and managing commissioning tasks within time budgeted., • Maintain relations with existing clients on assigned projects., • Support the engineering manager in the training and mentoring of team members on proper documentation development, field procedures and equipment usage.REQUIREMENTS / QUALIFICATIONS, • Bachelor’s Degree in Mechanical/ Electrical Engineering with minimum 8 years of experience in engineering or construction/maintenance related experience with a 2 year engineering technology degree, • At least 3 years’ experience working in or supporting the construction or upgrade of manufacturing or related spaces., • EIT or CEM certification preferred, • Understanding of FDA regulated industries is desirable., • Hands-on-experience of HVAC and/or electrical systems, • Must be physically fit and capable of lifting at least 30 pounds and climbing ladders QiFCvlQ1AP

Job Description SENIOR ELECTRICAL ENGINEER - HYBRID - REVIT - P.E. - URGENT NEED! • Serve as Project Lead on a major project and/or several projects of moderate scope with complex features., • Develop electrical design documents and drawings., • Analyze and approve the work of others. Monitor the work performed by the team., • Conceptual and detailed design of low voltage power distribution, lighting, grounding, motor control systems, PLC/PAC, HMI’s process equipment and instrumentation., • Interact with clients, customers, officials, contractors and others., • Lead project meetings and make presentations., • Perform typical electrical calculations including but not limited to voltage drop, short circuit, coordination studies, arch flash, relay settings, conduit fill, lighting, and grounding., • 10+ years of electrical engineering experience, preferably in power, energy, oil and gas or other industrial process industries., • Experience developing one-line drawings, control schematics and wiring diagrams, electrical equipment specifications, power plans, conduit plans, cable schedules, etc., • Working knowledge of technical Codes and Standards: NEC, IEEE, NFPA, IEC, etc., • Proficient using Microsoft Office Excel & Word., • Familiarity with AutoCAD, REVIT or other design software., • Bachelor’s degree in Electrical Engineering from an A.B.E.T. accredited college is required., • PE License required. Hundreds of new jobs are listed on the site every month in a wide range of industries and locations. Last year we had over 900,000 unique job seekers visit our website, which means over 75,000 skilled job seekers search our openings every month. Established in 2003, Liberty Personnel quickly grew into one of the largest technical recruiting agencies on the East Coast. Today, Liberty Personnel has a national presence and a diverse client base. Listed below are a number of the industries and openings we work on: Information Technology, Software Programmers, Engineering, Manufacturing, Legal, Plant Maintenance, Construction, Oil and Gas, Medical Communications, Accounting, Finance, Electronics, Scientific, Medical Device, Sales, Pharmaceutical, Admin, Automation, Controls, Civil, HVAC, Wastewater, Structural, Electrical, Chemists, Validations, Logistics, Food Production, Renewable Energy and Machinists.Libertyjobs.com has become an essential destination site for experienced job seekers. Our recruiters are continually posting active job openings to the website. Feel free to search our database of open positions and apply for your next career move!\n\nHundreds of new jobs are listed on the site every month in a wide range of industries and locations. Last year we had over 900,000 unique job seekers visit our website, which means over 75,000 skilled job seekers search our openings every month.\n\nEstablished in 2003, Liberty Personnel quickly grew into one of the largest technical recruiting agencies on the East Coast. Today, Liberty Personnel has a national presence and a diverse client base. Listed below are a number of the industries and openings we work on:\n\nInformation Technology, Software Programmers, Engineering, Manufacturing, Legal, Plant Maintenance, Construction, Oil and Gas, Medical Communications, Accounting, Finance, Electronics, Scientific, Medical Device, Sales, Pharmaceutical, Admin, Automation, Controls, Civil, HVAC, Wastewater, Structural, Electrical, Chemists, Validations, Logistics, Food Production, Renewable Energy and Machinists.

Company Profile Oceaneering Technologies (OTECH) develops, manufactures, and operates customized marine systems, shipboard equipment, subsea vehicles, and engineered solutions for commercial and U.S. military vessels. Oceaneering Aerospace and Defense Technologies (AdTech) delivers solutions that enable humans to work safely and effectively in harsh environments - from underwater to the outer reaches of space. Our innovative solutions support the development and application of practical, cost-effective systems that meet our customers' challenges - from routine to extreme. Our experience and expertise across multiple industries uniquely positions us as a leader in the government, space, and maritime services markets. Our products and services meet the rigorous demands of the complex environments in which they operate, delivering results without compromising safety or reliability. Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries. Position Summary As a Senior Electrical Engineer (industry equivalent: Electrical Engineer 3), serve as a vital member of the Oceaneering Aerospace and Defense Technologies (ADTECH) engineering team - an engineering center of excellence, and an exciting part of our dynamic, global enterprise. Within our Oceaneering Technologies (OTECH) group, you will be responsible for performing diverse activities associated with the development and implementation of complex power and control systems for unique underwater robotic and electromechanical systems, helping solve our customers' toughest challenges - typically for US Navy and other US Government Department of Defense customers. Most of our projects are one-of-a-kind, which means you will never be stagnant and will always work on something new and compelling. And, by "work," we don't just mean "analyze and design" - most of our engineers do not simply sit behind a desk, but when the design is done choose to "get their hands dirty" assisting with building and testing their creations. At Oceaneering, we are committed to "making it work!" Duties And Responsibilities \n • Given incomplete, high-level requirements for a system or subsystem of moderate complexity, generate proper designs and work to complete tasking with latitude to make decisions under minimal supervision - individually and in a teamwork environment.\n, • Exercise excellent technical judgement, creativity, and initiative with attention to detail consistently throughout your work product, with awareness of the "system" perspective.\n, • Prepare and participate in regular design reviews.\n, • Work closely in concert with mechanical, software, and systems engineers, as well as other cooperative disciplines, to solve problems and constructively architect a working system.\n, • Supervise/mentor junior engineers or technicians, when necessary.\n, • Responsible and accountable for your results, working with considerable autonomy, but also knowing when to ask for assistance.\n ESSENTIAL: \n • Bachelor of Science or advanced degree from an accredited university in Electrical/Electronic Engineering (or related field/curriculum having an Electrical concentration, such as Computer Engineering or Robotics Engineering). Significant commensurate experience may be considered.\n, • Minimum 3 years practical technical experience in the creative (Electrical) engineering process, including participation in the concept, analysis, simulation, design, drawing, assembly, integration, troubleshooting, and testing of complex electrical, electromechanical, and automated/robotic and underwater vehicle systems.\n, • Ability to obtain and maintain a United States Government Department of Defense Security Clearance (active clearances preferred, but not prerequisite).\n, • Experience selecting and integrating varying pieces of high-tech Commercial Off-the-Shelf (COTS) equipment to interoperate well together, including designing necessary interfaces.\n, • Good working knowledge and experience selecting and sizing current and latest available electrical and electronic components and wiring devices, such as signal conditioning, power supplies, control devices, switching devices, SSRs, safety devices, terminal blocks, connectors, DIN rail, wiring, cabling, marshalling, dressing, etc.\n, • Experience selecting and interfacing components of industrial quality embedded microprocessor, single-board computer (SBC) based control systems, including defining necessary signals, sensors, and actuators, and selecting appropriate I/O; may also require custom electrical designs where COTS components are either inadequate or unavailable.\n, • Experience designing, interfacing, translating, and integrating various data communications signaling, such as Ethernet, USB, RS-232, RS-422, RS-485, SPI, I2C, CAN, etc., including their associated media and protocols in high-noise potential environments.\n, • Experience with DC power systems design.\n, • Calculate and estimate system power and energy requirements.\n, • Experience designing, wiring, cabling, grounding for minimizing electrical noise and EMI, as appropriate.\n, • Good electrical drawing/drafting skills - accurately create and read detailed schematics, wiring diagrams, cable drawings, system cabling and block diagrams, etc.\n, • Proficiency in proper use and application of various standard electronic test equipment; e.g., DMM/multimeters, oscilloscopes, power analyzers, spectrum analyzers, communications analyzers, CTDR, OTDR, optical power meters, etc.\n, • Proficiency with advanced Computer Aided Design (CAD), Simulation, and Analysis software packages such as Altium Designer, SPICE, AutoCAD, SolidWorks, SolidWorks Electrical, MathCAD, MATLAB, etc.\n, • Proficiency with common office productivity software such as Microsoft Word, Excel, and PowerPoint, etc.\n, • Experience in the marine (surface or, preferably, underwater) industry and associated technologies, including ROVs, AUVs, and related robotic and electromechanical systems; also sonar systems.\n, • Working knowledge of applicable industry professional, technical, and military standards (IEEE, ANSI, IEC, ISO, NEMA, NEC, MIL, etc.)\n, • Good practical technician skills (assembly, wiring, soldering, cabling, etc.)\n, • Experience with fiber-optics.\n, • Experience with Printed Circuit Board (PCB) design.\n, • Experience with brushless motor drives, robotics, and automation.\n, • Experience designing, analyzing, and tuning closed-loop feedback control systems.\n, • Experience with low-medium voltage, single- and 3-phase power systems (120, 240, 480, 3000+ VAC).\n, • Experience applying machine safety systems and standards.\n, • Experience with programming languages and/or script writing (software).\n This position is Hybrid - Remote and will require commuting to a designated office. Hybrid work schedules are determined by the hiring manager based on business need. PAY, BENEFITS AND WORK SCHEDULE: We offer a comprehensive and competitive benefits package. Employee benefits vary by role, however, may include Health and Wellness, Mental Health, Retirement Savings, Life and Disability, Paid Maternity and Parental Leave, Paid Time Off, Tuition Reimbursement, and an Employee Assistance Program. Annualized pay rate for this position is: $100,000 - $120,000. Equal Opportunity Employer All qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or other non-merit factors. How To Apply Regular full-time employees who apply will be considered along with external candidates. Employees with less than six months with their current position are not eligible to apply for job postings. Please discuss your interest in the position with your current manager/supervisor prior to submitting your completed application. It is highly recommended to apply through the PeopleSoft or Oceanet portals.

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 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 -ML/AI At Capital One, we are changing banking for good by creating responsible and reliable AI-powered systems. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine exceptional products for our customers. In Risk Tech, we provide the foundation for Capital One to thrive in an uncertain world. Our engaged, empowered, and intelligent people produce outstanding products, working toward the common goal of transforming risk management with technology. We build data-driven tools that use machine learning to prevent risks & automatically detect issues before they impact our customers, our business, or our communities. In this role at Risk Tech, you will work with our internal Audit team and partners across the company to build and deploy proprietary solutions that are powered by state-of-the-art AI technology. Our products, enhanced with the transformative power of AI, are central to our business and deliver tremendous customer value. You will: * Partner with a cross-functional team of engineers, data scientists, product managers, and designers to deliver AI-powered products that change how our associates work and provide value to our customers. * Design, develop, test, deploy, and support AI software components utilizing machine learning models, including model evaluation and experimentation, large language model inference, similarity search, guardrails, governance, observability and agentic AI. * Fine-tune, develop and evaluate machine learning and foundation models, * Collaborate as part of a cross-functional Agile team to create and enhance software that utilizes state-of-the-art AI and ML capabilities * Contribute thought leadership and technical vision to the long term roadmap of pioneering AI systems at Capital One. * Leverage a broad stack of Open Source and SaaS AI technologies. * Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues. * Retrain, maintain, and monitor models in production. * Construct optimized data pipelines to feed ML models. * Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * You are a passionate communicator, comfortable with explaining complex technical concepts to non-technical partners across the business, sometimes in front of large audiences. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. * Passion for staying abreast of the latest AI research and AI systems, and judiciously applying novel techniques in production Strategic & Business-Oriented: You think beyond the technology, deeply understanding business needs and how AI can solve them. You don't just build; you strategize and prioritize work that delivers the greatest business value. Highly Collaborative & Transparent: You are a natural partner, working seamlessly across engineering, product, and data science teams. You communicate your progress, blockers, and decisions clearly and proactively, ensuring everyone is aligned. You love sharing knowledge and insights and are committed to the success of the entire team. Technically Mature & Humble: You possess a strong foundation in engineering and mathematics. You are a resilient problem-solver who can bring clarity to complex, undefined problems and articulate your findings concisely. You demonstrate professional maturity by committing to and executing on team decisions. Flexible & Fungible: You are eager to roll up your sleeves and contribute wherever the team needs you most. You are comfortable working across different aspects of the tech stack and adapting to evolving priorities. A Lifelong Learner: You love staying current with the latest AI research and can apply novel techniques to production systems judiciously, always with a focus on business impact. Basic Qualifications: * Bachelor's degree * At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply) * At least 4 years of experience programming with Python, Go, Scala, or Java * At Least 3 years of experience deploying scalable software solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) Preferred Qualifications: * 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 * 6 years of experience designing, developing, delivering, and supporting AI services at scale * 3 years of experience developing AI and ML algorithms or technologies using Python * 2 years of experience with Retrieval Augmented Generation (RAG) * Experience deploying scalable AI/ML solutions in a public cloud such as AWS Bedrock, Google Cloud, Azure * Experience designing, implementing, and scaling complex data pipelines for ML models and evaluating their performance At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer) The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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. 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 and Agentic AI) 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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 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 Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 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 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).

Company Profile Oceaneering Technologies (OTECH) develops, manufactures, and operates customized marine systems, shipboard equipment, subsea vehicles, and engineered solutions for commercial and U.S. military vessels. Oceaneering Aerospace and Defense Technologies (AdTech) delivers solutions that enable humans to work safely and effectively in harsh environments - from underwater to the outer reaches of space. Our innovative solutions support the development and application of practical, cost-effective systems that meet our customers' challenges - from routine to extreme. Our experience and expertise across multiple industries uniquely positions us as a leader in the government, space, and maritime services markets. Our products and services meet the rigorous demands of the complex environments in which they operate, delivering results without compromising safety or reliability. Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries. Position Summary The Project Software Engineer serves as a key member of the Oceaneering Technologies (OTECH) group. Project engineers are expected to function as leads or important contributors on software efforts and proposals. This role is important to producing software solutions that meet electrical, mechanical and CONOPs needs. OTECH produces and maintains unique underwater systems - typically for US Navy and other US Government Department of Defense customers. Our projects are all one-of-a-kind. Projects range from quick burn to lifecycle management of fielded systems. This position would yield a solid depth of understanding of the software lifecycle and how it best applies to the entire fielded system. Duties And Responsibilities \n • Apply working knowledge of software lifecycle to develop and begin leading software efforts.\n, • Implement decisions for designing and maintaining software architecture.\n, • Actively interface with other engineering leads, program managers and external customers.\n, • Key contributor to creation, maintenance and acceptance of project CDRL's. This includes requirements management, software documentation, unit testing, software safety testing, and software qualification testing. \n, • Contribute to trade studies for hardware such as navigation units, board stacks, and power monitors. \n, • Support software testing on the factory floor, offsite, and offshore.\n, • Perform analysis of user requirements, concept of operations documents, and high-level system architectures to develop system requirements specifications.\n, • Guide system development and implementation planning through preparation of concept of operations, interfaces control documents, hazard analysis, and test plans and procedures.\n, • Displays excellent technical judgment, attention to detail, and ability to look at the "big picture" in system design.\n, • Demonstrates ability to devise innovative solutions to problems when conventional solutions are insufficient.\n, • Prepares reports and presents results to management and client.\n, • Schedules can be demanding throughout the year and occasional work outside normal working hours should be anticipated.\n Qualifications ESSENTIAL: \n • BS Degree in Computer Science, Computer Engineering, Mathematics, Electrical Engineering or related technical field.\n, • Commensurate experience will be considered.\n, • 5+ years of practical experience in software engineering.\n, • Experience with one or more of the following programming languages REACT, C, C++, or C#. \n, • Solid written and oral communications skills, including ability to effectively document, convey, and present engineering concepts and products to team members and customers.\n, • Ability to obtain and maintain a United States Government Department of Defense Security Clearance.\n, • Experience developing in underwater vehicle or robotic software frameworks and expanding framework capabilities.\n, • Experience working on Department of Defense software efforts.\n, • Experience with microservices based architectures utilizing containerization and orchestration.\n, • Experience with UI/UX design.\n, • Experience with Linux OS or bare metal firmware.\n, • Experience with microprocessors and single-board computer (SBC) based control systems that interface to sensors and hardware (e.g. cameras, navigation sensors, valve packs, other boards). \n, • Ability to implement and debug communication protocols including: UDP and multicast, TCP, serial protocols, SPI, I2C, CAN, etc.\n, • Experience with Jira and Git.\n, • Ability to setup simple bench testing environments for communication links, board power, analog devices, etc. \n This position is Hybrid - Remote and will require commuting to a designated office. Hybrid work schedules are determined by the hiring manager based on business need. PAY, BENEFITS AND WORK SCHEDULE: We offer a comprehensive and competitive benefits package. Employee benefits vary by role, however, may include Health and Wellness, Mental Health, Retirement Savings, Life and Disability, Paid Maternity and Parental Leave, Paid Time Off, Tuition Reimbursement, and an Employee Assistance Program. Annualized pay rate for this position is : $110,500 - $149,500. Equal Opportunity Employer All qualified candidates will receive consideration for all positions without regard to race, color, age, religion, sex (including pregnancy), sexual orientation, gender identity, national origin, veteran status, disability, genetic information, or other non-merit factors. How To Apply Regular full-time employees who apply will be considered along with external candidates. Employees with less than six months with their current position are not eligible to apply for job postings. Please discuss your interest in the position with your current manager/supervisor prior to submitting your completed application. It is highly recommended to apply through the PeopleSoft or Oceanet portals.

Securitas Technology Corporation (STC) Technology and Solutions groups are experiencing tremendous success, and we currently have an Embedded Technician opening for team-oriented individuals possessing vocational training in electronics or electromechanical engineering. In this role, you will be responsible for providing service on STC products at customer sites. The position provides customer contact for all post-installation problems on security systems and equipment, as well as, special project work, when needed. STC is a leading, global provider of integrated security and facility solutions that contain best-in-class products and award-winning services for an organization's unique needs. STC security solutions include product and service outsourcing that integrate cross-disciplinary functions into comprehensive technology-centered customer solutions on a cloud-based platform spanning hardware and software capabilities. Responsibilities • Services intrusion, CCTV, and access control security systems., • Performs scheduled, routing preventive maintenance on a variety of equipment/systems under contract agreement by inspecting, adjusting, cleaning, and calibrating systems and checking out equipment to ensure it’s in satisfactory working order., • Completes maintenance, within assigned hours, in a manner that reduces emergency calls and results in achieving the goal of zero call backs., • Assists with the start-up of new equipment or system installation and adjusts as needed to ensure the system is operational., • May plan schedules, lay out basic electrical equipment installations, and assist in the start-up and check-out of new systems installations., • Presents a professional image both in personal and vehicle appearance., • Performs work assignments in a safe manner and within specified cost limits., • Promotes, builds, and maintains good customer relations and assists with contract retention., • Maintains company propriety and documentation in accordance with established policies; handles proprietary information in the prescribed manner; adheres to and supports Securitas Technology policies and procedures including all safety requirements., • Keeps abreast of changes and new developments in products and technology., • Attends and completes training programs as requested. Job Requirements • High School diploma or GED required, Vocational/Technical Degree in electrical, security, or computer systems preferred., • Must be EL06 Licensed., • MUST HOLD a minimum of 1-2 years of experience installing and/or servicing Access Control and CCTV, • CCure 900 Certification, • Lenel Certification, • Door Hardware troubleshooting, • Software House Controllers, • Automatic doors openers, • Video, • Victor/Video Edge Certification, • Camera Troubleshooting, • Media Converter Fiber/IP Technology, • Axis IP Camera, • Strong working knowledge of Windows Server and Client environments, • Strong working knowledge of Microsoft Office (Word, Excel, PowerPoint), • Strong written and verbal communications skills, • Working knowledge IP video and addressing, • Excellent problem solving and analytical skills, • Excellent time management skills, • Positive attitude and strong work ethic, • Climb ladders that extend up to 24 ft. in height., • Carry items up to 75 pounds., • Ability to work on-call on a rotational basis covering after hours & weekend emergency calls., • A valid state driver’s license, without restrictions, is required. Securitas Technology offers comprehensive benefits including: • Highly competitive salary, • Company training and industry leading certification program, • Company Vehicle, • Company Cell Phone, • Medical, Dental, Vision, and Life Insurance, • Company Paid Short Term and Long-Term Disability, • 401K with 60% Match up to 6% of salary, • Paid vacation, holiday and sick time, • Educational Assistance, • Exceptional growth opportunities, • Wide variety of employee discounts on travel, equipment, and more! We are a nationwide provider of security solutions, and an equal opportunity employer committed to a diverse workforce. Our core values of Integrity, Vigilance and Helpfulness are proudly demonstrated daily by our employees to our customers and the communities we service.

Securitas Technology Corporation (STC) Technology and Solutions groups are experiencing tremendous success, and we currently have an Embedded Technician opening for team-oriented individuals possessing vocational training in electronics or electromechanical engineering. In this role, you will be responsible for providing service on STC products at customer sites. The position provides customer contact for all post-installation problems on security systems and equipment, as well as, special project work, when needed. STC is a leading, global provider of integrated security and facility solutions that contain best-in-class products and award-winning services for an organization's unique needs. STC security solutions include product and service outsourcing that integrate cross-disciplinary functions into comprehensive technology-centered customer solutions on a cloud-based platform spanning hardware and software capabilities. Responsibilities • Services intrusion, CCTV, and access control security systems., • Performs scheduled, routing preventive maintenance on a variety of equipment/systems under contract agreement by inspecting, adjusting, cleaning, and calibrating systems and checking out equipment to ensure it’s in satisfactory working order., • Completes maintenance, within assigned hours, in a manner that reduces emergency calls and results in achieving the goal of zero call backs., • Assists with the start-up of new equipment or system installation and adjusts as needed to ensure the system is operational., • May plan schedules, lay out basic electrical equipment installations, and assist in the start-up and check-out of new systems installations., • Presents a professional image both in personal and vehicle appearance., • Performs work assignments in a safe manner and within specified cost limits., • Promotes, builds, and maintains good customer relations and assists with contract retention., • Maintains company propriety and documentation in accordance with established policies; handles proprietary information in the prescribed manner; adheres to and supports Securitas Technology policies and procedures including all safety requirements., • Keeps abreast of changes and new developments in products and technology., • Attends and completes training programs as requested. Job Requirements • High School diploma or GED required, Vocational/Technical Degree in electrical, security, or computer systems preferred., • Must be EL06 Licensed., • MUST HOLD a minimum of 1-2 years of experience installing and/or servicing Access Control and CCTV, • CCure 900 Certification, • Lenel Certification, • Door Hardware troubleshooting, • Software House Controllers, • Automatic doors openers, • Video, • Victor/Video Edge Certification, • Camera Troubleshooting, • Media Converter Fiber/IP Technology, • Axis IP Camera, • Strong working knowledge of Windows Server and Client environments, • Strong working knowledge of Microsoft Office (Word, Excel, PowerPoint), • Strong written and verbal communications skills, • Working knowledge IP video and addressing, • Excellent problem solving and analytical skills, • Excellent time management skills, • Positive attitude and strong work ethic, • Climb ladders that extend up to 24 ft. in height., • Carry items up to 75 pounds., • Ability to work on-call on a rotational basis covering after hours & weekend emergency calls., • A valid state driver’s license, without restrictions, is required. Securitas Technology offers comprehensive benefits including: • Highly competitive salary, • Company training and industry leading certification program, • Company Vehicle, • Company Cell Phone, • Medical, Dental, Vision, and Life Insurance, • Company Paid Short Term and Long-Term Disability, • 401K with 60% Match up to 6% of salary, • Paid vacation, holiday and sick time, • Educational Assistance, • Exceptional growth opportunities, • Wide variety of employee discounts on travel, equipment, and more! We are a nationwide provider of security solutions, and an equal opportunity employer committed to a diverse workforce. Our core values of Integrity, Vigilance and Helpfulness are proudly demonstrated daily by our employees to our customers and the communities we service.