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AI/ML Engineers - Vaccine Research. As an AI Science Engineer you will work shoulder-to-shoulder with leading Scientists Immunologists and Clinicians to translate complex biology into differentiated vaccine work will go beyond proofofconcept models - your AI systems will directly inform scientific

Description Location:Remote - Must have a 6 hour overlap with EST Remote Full-time Compensation:$150K - $225K We are hiring on behalf of our client who is a technical infrastructure firm specializing in the delivery of massive-scale web data to organizations developing advanced artificial intelligence models. The organization supports high-capacity bandwidth-sharing networks and operates a distributed crawler capable of accessing high-quality public web data at a global scale. Additionally the team has engineered sophisticated pipelines for the ingestion segmentation and annotation of billions of multimedia files facilitating dataset creation for frontier research labs. The organization operates as a lean technical team that prioritizes speed and direct execution. As a Research Crawling Engineer the successful candidate will design and operate large-scale web data acquisition systems. This role encompasses distributed systems scraping infrastructure and data pipelines focusing on providing high-quality inputs for research and model development. Key Responsibilities • Construct and maintain large-scale web crawlers across diverse domains., • Design high-throughput fault-tolerant systems for data collection managing volumes ranging from millions to billions of URLs per day., • Navigate anti-bot systems rate limits and dynamic JavaScript-heavy websites., • Develop robust pipelines for data cleaning deduplication filtering and normalization., • Build and maintain datasets specifically structured for research and machine learning model training., • Monitor and optimize crawl performance coverage and data quality through rapid iteration., • Collaborate with research teams to ensure data collection efforts align with modeling requirements., • Optimize infrastructure to ensure cost-efficiency low latency and reliability. Requirements • Extensive programming experience in one or more of the following: Go Rust Python Java or C., • Proven experience in building web crawlers or large-scale data pipelines., • Solid understanding of HTTP networking protocols and browser behavior., • Familiarity with distributed systems and parallel processing techniques., • Experience handling large datasets ideally at the terabyte to petabyte scale., • Demonstrated ability to debug and maintain systems within unstable or adversarial environments. Preferred Qualifications: • Experience with NLP pipelines or dataset curation for machine learning., • Familiarity with LLM pre-training data or retrieval systems., • Practical experience with headless browsers (e.g. Playwright Puppeteer or Chrome DevTools Protocol)., • Knowledge of proxy systems IP rotation and large-scale request orchestration., • Background in data quality evaluation or benchmarking., • Experience running workloads on cloud or bare-metal infrastructure. Benefits • Impactful Opportunity: Contribute to the development of a web-scale crawler and knowledge graph at the forefront of AI data accessibility., • High-Performance Culture: Join a lean low-ego team that prioritizes high output and professional growth., • Remote Work: This position is part of a fully remote team offering flexibility and autonomy., • Competitive Compensation: A package including a competitive salary comprehensive benefits and equity commensurate with experience and the ability to operate at scale. Interview Process • Recruiter Coordination Call, • Hiring Manager Interview, • Founder / CEO Interview, • Secondary Executive Interview, • Final Interview Due to the high volume of applications we anticipate we regret that we are unable to provide individual feedback to all candidates. If you do not hear back from us within 4 weeks of your application please assume that you have not been successful on this occasion. We genuinely appreciate your interest and wish you the best in your job search. Commitment to Equality and Accessibility: At MLabs we are committed to offer equal opportunities to all candidates. We ensure no discrimination accessible job adverts and providing information in accessible formats. Our goal is to foster a diverse inclusive workplace with equal opportunities for all. If you need any reasonable adjustments during any part of the hiring process or you would like to see the job-advert in an accessible format please let us know at the earliest opportunity by emailing MLabs Ltd collects and processes the personal information you provide such as your contact details work history resume and other relevant data for recruitment purposes only. This information is managed securely in accordance with MLabs Ltds Privacy Policy and Information Security Policy and in compliance with applicable data protection laws. Your data may be shared only with clients and trusted partners where necessary for recruitment purposes. You may request the deletion of your data or withdraw your consent at any time by contacting Required Experience: IC Employment Type : Full Time Experience: years Vacancy: 1 Monthly Salary Salary: 150 - 225

Role: Senior Software Engineer Duration: 6+ months (Temp to Perm Hire) Location: Newark, NJ - Hybrid (3 days onsite per week) About the Opportunity: Are you interested in building capabilities that enable the organization with innovation, speed, agility, scalability and efficiency? The Global Technology team takes great pride in our culture where digital transformation is built into our DNA! When you join our organization, you'll unlock an exciting and impactful career - all while growing your skills and advancing your profession at one of the world's leading financial services institutions. Your Team & Role: As a Senior Software Engineer on the Group Insurance team, you will partner with product owners, tech leads, designers, engineers and delivery professionals to improve and enhance our Onboarding Platform. You will code, test and debug new and existing applications as you implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. What You Can Expect on a Typical Day: • Build applications ensuring that the code follows latest coding practices and industry standards, using modern design patterns and architectural principles; actively code against the roadmap, • Develop high quality, well documented and efficient code adhering to all applicable client's standards., • Collaborate with product owners in understanding needs and defining feature stories, tech leads in defining technical design and other team members to understand the system end-to-end and deliver robust solutions that bring about business impact., • Write unit, integration tests and functional automation; research problems discovered by quality assurance or product support, developing solutions to address the problems., • Bring an applied understanding of relevant and emerging technologies, identify opportunities to provide input to the team and coach others, and embed learning and innovation in the day-to-day., • Work on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors., • Bachelor of Computer Science or Engineering or experience in related fields., • Leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization, • Experience with agile development methodologies and Test-Driven Development (TDD), • Knowledge of business concepts, tools and processes needed for making sound decisions in the context of the company's business, • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges, • Programming Languages: Python, Java or JavaScript; distributed systems, object oriented programming, design patterns and design methodology; Java services using Spring CLI, Maven, Microservices, multi-threading, concurrency and parallel processing, • Frameworks: React, Spring Boot, Node.js (Full / MEAN / MERN stack), • Data Store: NoSQL or Relational Data structures; MongoDB; BPM tools, • Data Streaming: SQS, Kinesis, • APIs: Consumption & Development; implementing service oriented architecture (SOA) patterns; REST, JSON, SOAP, XML, JDBC, MySQL, • Testing: Unit, interface and end user testing concepts and tooling (functional & non-functional); automated testing, • Accessibility: Accessibility awareness and compliance, • Security: Secure coding, web application security and DevSecOps; authentication, authorization, encryption, digital signatures, JWT, SSL, web service proxies, firewalls, SAML 2.0, OpenID Connect, OAuth2.0, • DevOps Tools & Practices: Branching techniques and usage of GitHub, Bitbucket or Subversion; DevOps, Jenkins, • SDLC: Monitoring and logging techniques, • AWS Development, • Architecture Patterns, • Design Thinking, • Financial / Insurance industry knowledge is a plus, not a must

From Concept to Completion: Manage, Design, and Deliver Impactful Projects Nationwide This Jobot Job is hosted by: Amanda Cohen Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $80,000 - $115,000 per year A bit about us: We’re a one-stop engineering and consulting firm based in Cary, NC, delivering multi-disciplinary solutions in civil, environmental, structural, mechanical, electrical, and instrumentation engineering. Since 1993, we’ve helped public and private clients across the U.S. bring projects to life—everything from water and wastewater systems to full-scale site development. Located just 10 miles from downtown Raleigh in the Research Triangle, our collaborative team thrives on innovation, high-quality work, and projects that make a real impact. Why join us? As a Civil Engineer / Project Manager on our team, you’ll have the chance to work on projects of all scales—from local developments to national and international initiatives. You’ll collaborate directly with clients, lead multi-disciplinary projects, and grow your career in land development, water resources, and environmental engineering. This is an ideal opportunity for someone seeking both professional growth and the satisfaction of seeing their designs come to life. Why You’ll Love Working Here Diverse Projects: Work with clients across industries, from municipal utilities to private developers, on projects big and small—local, national, and even international. Career Growth: Take ownership of projects and grow your expertise in land development, water resources, and environmental engineering. Hands-On Impact: See your designs built in the real world, from concept through construction. Collaborative Culture: Join a tight-knit, supportive team that values your ideas and encourages professional development. Job Details Responsibilities Collaborate with project managers and team members to define project goals, schedules, and deliverables. Plan, design, and oversee construction of water, wastewater, and utility projects for municipal, industrial, and private clients. Prepare site layouts, roadways, grading, erosion control, and stormwater management system plans. Develop exhibits, construction drawings, and specifications for projects. Perform fundamental engineering calculations and analyses. Serve as a key point of contact for public and private clients throughout project execution. Basic Qualifications Bachelor’s degree in Civil Engineering, Environmental Engineering, or a closely related field. 4–10 years of relevant engineering experience. Demonstrated interest or experience in land development, water resources, or environmental engineering. Strong communication skills and ability to work collaboratively across teams. Interested in hearing more? Easy Apply now by clicking the "Apply" 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-policy

About Us At Selective, we don't just insure uniquely, we employ uniqueness. Selective is a midsized U.S. domestic property and casualty insurance company with a history of strong, consistent financial performance for nearly 100 years. Selective's unique position as both a leading insurance group and an employer of choice is recognized in a wide variety of awards and honors, including listing in Forbes Best Midsize Employers in 2025 and certification as a Great Place to Work in 2025 for the sixth consecutive year. Employees are empowered and encouraged to Be Uniquely You by being their true, unique selves and contributing their diverse talents, experiences, and perspectives to our shared success. Together, we are a high-performing team working to serve our customers responsibly by helping to mitigate loss, keep them safe, and restore their lives and businesses after an insured loss occurs. Overview Selective is seeking a Principal Network Infrastructure Engineer, to partner with Architects and Engineers in the IT network infrastructure, supporting our business platforms and continuously improving to meet the evolving needs of our business community. The Engineer will provide technical leadership to the team to help drive the strategic initiatives, and "Cloud First" direction of Selective Insurance. The network engineer is also required to document designs and creations and share their findings with others. Responsibilities • Provide leadership in IT for the development of highly appropriate, tightly integrated, consistently available, secure, flexible, and fault-tolerant solutions, • Ability to Design and implement standardized methodologies to deploy and maintain routing and switching, LAN/WAN, wireless network, load balancers, cloud infrastructure networking components, network monitoring tools, WAN acceleration, SD WAN and other relevant technologies, • Ability to lead network implementation by taking ownership of a project and being accountable for its success, including providing executive summary status reports, • Ability to design enterprise network routing architectures using protocols such as Open Shortest Path First (OSPF), Border Gateway Protocol (BGP), and Enhanced Interior Gateway Routing Protocol (EIGRP)., • Knowledge of SDN concepts and familiarity with Python, REST, model-driven programmability, containers and other modern aspects of network engineering, • Strong background in data center networking technologies like Cisco IOS, NXOS, Cisco VPC, Spine-Leaf designs, OTV and VXLAN layer2 extensions, etc., • Work with architecture team to prepare recommendations and supporting details for formal project proposals for network connectivity and configurations, • Perform as SME escalation in support of IT operational organization during complex highly impactful outages that can cross multiple functional domains, involving chronic recurring problems, vendor product bugs and other critical network functionality, • Ensure all engineered solutions have sufficient design documentation available including HLD and LLD documents., • Ensure all engineered solutions and features take operational needs into account and provide the Operations team with sufficient documentation, training and standard operating procedures that support daily operation, maintenance, upgrades and support escalations for the solution., • Identify areas for enhanced efficiency through automation, suggested process improvements and streamlined workflow., • College degree in Computer Science or a related field preferred., • 10 + years of relevant experience in a fast-paced, enterprise-level environment including leadership roles, • Ability to create accurate network diagrams and documentation for design and planning network layout and communication systems., • Experienced in Azure Cloud networking, • Advanced level knowledge of many of the following technologies: Cisco Catalyst and Nexus switches; Cisco routers; Cisco Meraki wireless LAN; Cisco ISE; F5 LTM, APM and iRules; Palo Alto firewalls, including Prisma Access; Cloud based technologies (Azure, AWS and GCP) is required, with a strong understanding of and experience with Azure; Palo Alto SD WAN; SolarWinds., • Network certifications required from leading network vendors: Cisco (CCNA, CCNP, CCIE); F5; Microsoft Azure., • Ability to work with vendors and research product offerings to determine appropriate solutions. Ability to review, evaluate and make recommendations on vendor SOW's, BOM's and proposals., • Demonstrated ability to successfully communicate to all levels of IT, including producing status reports interface with stakeholders and report to IT leadership., • Drive alignment of network engineering initiatives with business objectives and measurable KPIs., • Mentor and coach less senior engineers to build team capability and foster professional growth., • Champion Agile, DevOps, and modern delivery practices within network engineering projects., • Engage proactively with business stakeholders and cross-functional teams to ensure solutions meet enterprise needs., • Lead innovation efforts by identifying technical debt, proposing modernization strategies, and implementing automation., • Collaborate with leadership to define success metrics and report progress against KPIs., • Promote diversity, equity, and inclusion within the team and contribute to an inclusive culture., • Advocate continuous learning and career development opportunities for team members. Total Rewards Selective Insurance offers a total rewards package that includes a competitive base salary, incentive plan eligibility at all levels, and a wide array of benefits designed to help you and your family stay healthy, achieve your financial goals, and balance the demands of your work and personal life. These benefits include comprehensive health care plans, retirement savings plan with company match, discounted Employee Stock Purchase Program, tuition assistance and reimbursement programs, and 20 days of paid time off. Additional details about our total rewards package can be found by visiting our ___. The actual base salary is based on geographic location, and the range is representative of salaries for this role throughout Selective's footprint. Additional considerations include relevant education, qualifications, experience, skills, performance, and business needs. Pay Range USD $150,000.00 - USD $192,000.00 /Yr. Additional Information Selective is an Equal Employment Opportunity employer. That means we respect and value every individual's unique opinions, beliefs, abilities, and perspectives. We are committed to promoting a welcoming culture that celebrates diverse talent, individual identity, different points of view and experiences - and empowers employees to contribute new ideas that support our continued and growing success. Building a highly engaged team is one of our core strategic imperatives, which we believe is enhanced by diversity, equity, and inclusion. We expect and encourage all employees and all of our business partners to embrace, practice, and monitor the attitudes, values, and goals of acceptance; address biases; and foster diversity of viewpoints and opinions. For Massachusetts Applicants It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

At Anaplan, we are a team of innovators focused on optimizing business decision-making through our leading AI-infused scenario planning and analysis platform so our customers can outpace their competition and the market. What unites Anaplanners across teams and geographies is our collective commitment to our customers' success and to our Winning Culture. Our customers rank among the who's who in the Fortune 50. Coca-Cola, LinkedIn, Adobe, LVMH and Bayer are just a few of the 2,400+ global companies who rely on our best-in-class platform. Our Winning Culture is the engine that drives our teams of innovators. We champion diversity of thought and ideas, we behave like leaders regardless of title, we are committed to achieving ambitious goals, and we love celebrating our wins - big and small. Supported by operating principles of being strategy-led, ___-based and disciplined in execution, you'll be inspired, connected, developed and rewarded here. Everything that makes you unique is welcome; join us and let's build what's next - together! ABOUT THE ROLE This role sits within Anaplan's IT Customer Experience organization and is focused on transforming how Anaplanemployeeswork. You will design, build, and scale AI tools, agents, and capabilities that drive productivity, smarter decision-making, and operational efficiency across our global workforce. Anaplan is building its Enterprise AI Center of Excellence (COE) - a one-stop shop for all internal AI at Anaplan - and is looking for an AI Principal Architect to lead it from a technical standpoint. This is a senior, newly created role at the intersection of hands-on enterprise AI engineering, internal system architecture, technical leadership, and workforce enablement. The AI Principal Architect will own the technical vision for Anaplan's internal AI - designing the reference architecture for LLMs, agentic AI, and Gemini Enterprise; setting engineering standards; evaluating emerging platforms; and ensuring every employee-facing initiative is built with rigor, scalability, and responsible design. This role carries a hybrid profile: deep individual technical contribution combined with team leadership influence. You will mentor engineers, guide architectural decisions, serve as the primary technical escalation point, and contribute a forward-looking perspective to the 2-3 yearAI technology roadmap - without necessarily holding formal management authority over all contributors. You will report directly to the Director, IT Customer Experience, who co-leads the Enterprise AI COE alongside the Financial Flexibility Lead and a GTM Champion as a 3-in-a-box. You will collaborate closely with Technical/Engineering teams (dotted-line, foragent development and delivery) and the Transformation & Financial Flexibility team (toidentifyAI-driven cost-saving opportunities). KEY RESPONSIBILITIES Reference Architecture & Enterprise AI Engineering • Own and publish the reference architecture for Anaplan's internal AI - covering LLMs, agentic AI frameworks, Gemini Enterprise integrations, and data pipelines., • Architect end-to-end internal enterprise AI solutions designed for the scale, security, and reliability requirements of a global workforce., • Set and enforce AI engineering standards, coding practices, code review processes, and technical guardrails across all internal AI projects., • Lead hands-on technical design reviews and guide implementation decisions from intake through production deployment., • Evaluate, select, and onboard new enterprise AI platforms and tools - providing technical recommendations grounded in internal workforce needs., • Design the LLM abstraction layer and multi-model strategy tooptimizecost, performance, and flexibility., • Define andmaintaintechnical evaluation criteria for the AI intake process - assessing feasibility,buildcomplexity, security risk, and integration requirements for employee-facing tools., • Ensure all internal AI initiativespassengineering, security, compliance, and responsible AI review before development begins., • Maintain enterprise AI technical policies, engineering standards, and responsible AI guardrails in partnership with Security and Compliance., • Translate approved internal use cases into clear technical specifications and hand off to engineering teams with full architectural context., • Define enterprise AI data layer and integration architecture across core systems (Salesforce, ServiceNow, Gainsight, Workday)., • Integrate with ServiceNow AI Control Tower to track all AI use cases, agents, and realized business value., • Implement human-in-the-loop, explainability, and auditability frameworks for all decision-impacting AI systems., • Partner with Finance to define and measure AI-driven ROI, ensuring alignment with enterprise value targets., • Provide technical direction, coaching, and mentorship to engineers across the AI Governance & Enablement and AI Operations & Insights teams., • Serve as the primary technical escalation point for complex internal AI delivery challenges and architecture decisions., • Partner with Technical/Engineering teams (dotted-line) on agent architecture, build quality, and delivery timelines., • Help define the technical bar for AI team hiring and contribute to onboarding and skills development programs., • Oversee the technical deployment and operationalization of AI agents and solutions, ensuring production readiness and stability for Anaplan employees., • Drive Gemini Enterprise adoption and lead AI Friday sessions with genuine technical depth., • Build andmaintainengineering dashboards tracking internal AI system performance, adoption rates, and ROI metrics., • Research and prototype emerging AI/ML techniques, large language models, agent frameworks, and enterprise tooling toidentifyinternal productivity and cost-saving opportunities., • Design and lead proof-of-concept pilots thatvalidatenovel internal use cases beforecommitting tofull engineering investment., • Build andmaintainthe AI innovation pipeline - a living backlog of high-potential experiments., • Work hand in hand with the Transformation & Financial Flexibility team toidentifyand technicallyvalidateAI-driven cost-saving opportunities in Anaplan's internal operations., • Act as technical advisor and AI subject matter expert to business unitsidentifyinginternal AI use cases., • Support the 3-in-a-box COE co-leadership (IT, Finance, GTM) with technical analysis, architecture reviews, and feasibility assessments., • 7+ years of software or AI/ML engineering experience, with at least 3 years in a technical lead, staff engineer, or principal-level role - ideally with exposure to enterprise IT or internal tooling environments., • Deep hands-onexpertiseacross the AI/ML stack: LLMs, retrieval-augmented generation (RAG), agent frameworks, orMLOpspipelines - with experience in enterprise or workforce deployment contexts., • Proven experience architecting and deploying enterprise-scale internal AI systems from design through production, including reliability, observability, and performance engineering., • Proficiencyin Python and enterprise cloud AI platforms (GCP Vertex AI, Azure AI, or AWS SageMaker) and AI orchestration tooling., • Hands-on experience with Google Workspace AI and Gemini Enterprise, or equivalent enterprise AI platforms (e.g., Microsoft Copilot, OpenAI Enterprise)., • Demonstrated ability toprovidetechnical leadership, mentorship, and architectural guidance to engineering teams without formal management authority., • Ability to manage competing priorities, dependencies, and delivery timelines across multiple workstreams., • Strong business acumen and communication skills - able to translate complex enterprise AI/ML concepts into business value narratives for C-level audiences., • Experience with AI governance frameworks, responsible AI principles, or enterprise AI policy and risk management for internal deployments., • Familiarity with ServiceNow or similar ITSM platforms and integration patterns., • Background in enterprise change management, internal AI enablement, or large-scale digital transformation programs., • Experience working with cross-functional finance or business transformation teams on AI-driven cost optimization., • Prior experience in an internal IT or enterprise technology function at a high-growth SaaS company. We believe attracting and retaining the best talent and fostering an inclusive culture strengthens our business. DEIB improves our workforce, enhances trust with our partners and customers, and drives business success. Build your career in a place where diversity, equity, inclusion and belonging aren't just words on paper - this is what drives our innovation, it's how we connect, and it contributes to what makes us a market leader. We believe in a hiring and working environment where all people are respected and valued, regardless of gender identity or expression, sexual orientation, religion, ethnicity, age, neurodiversity, disability status, citizenship, or any other aspect which makes people unique. We hire you for who you are, and we want you to bring your authentic self to work every day! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive equitable benefits and all privileges of employment. Please contact us to request accommodation. Fraud Recruitment Disclaimer It has come to our attention that fraudulent and fictitious job opportunities are being circulated on the Internet. Prospective candidates are being contacted by certain individuals, mainly through telephone calls, emails and correspondence, claiming they are representatives of Anaplan. The main purpose of these correspondences and announcements is to obtain privileged information from individuals. Anaplan does not: • Extend offers to candidates without an extensive interview process with a member of our recruitment team and a hiring manager via video or in person.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts. Job Description/Preferred Qualifications We are seeking a motivated Technical Support Engineer (TSE) to join our team. TSE's are responsible for resolving complex technical issues that go beyond the scope of first-line product support. This role involves both remote troubleshooting and on-site support at customer locations, requiring deep system knowledge and sound judgment in applying broadly defined practices and policies. Key Responsibilities: * Independently resolve advanced system-level issues in mechanical, electrical, and electrochemistry domains. * Detail system problems and coordinate with the service organization to drive resolution. * Collaborate with Applications and Engineering teams to determine optimal solutions. * Host and driveService Alert Meetings (SAM)to address critical service issues. * Document technical findings and problem-solving processes in8D formatpostmortem reports. * SupportContinuous Improvement Projects (CIP)and contribute to procedural enhancements. * Develop and refineBest Known Methods (BKMs)and training materials. * Act as a technical liaison fornew product developmentinitiatives. * Assist withsystem installations and upgrades, ensuring smooth deployment and integration. * The position requires 20-30% travel domestically and internationally Minimum Qualifications * 5 years of related experience with a Bachelors degree; or 3 years experience with a Master's degree; or PHD without work experience; or equivalent experience Base Pay Range: $41.69 - $70.87 Per Hour Primary Location: USA-NJ-Totowa-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at___ or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched ___ for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to ___ to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

At Henderson, we're about more than just buildings We're about the people, experiences, and longevity of a building. We're a company of problem-solvers and innovators known for our technical excellence and ability to provide come up with out-of-the-box solutions when it comes to design and construction. We love the process of bringing buildings to life - and keeping them in shape long after the doors open. As an ESOP, each of our employee-owners are an essential part of our mission to lead the industry in innovation, sustainability, and client experience. With a vision to build a better world, Team Henderson has a people-first culture and diverse portfolio of world-class facilities. It's What We Do We provide total building system design and construction services across multiple high-growth markets throughout the country for industry leaders. You'll get to use your talent to work on projects for some of the biggest names in mission-critical, higher education, sports, healthcare, grocery, restaurant, and retail within the sectors we serve in business, community, grocery, health, retail, and venue. It's How We're Different We're about more than just buildings. We're about you. You, and the hundreds of passionate employee-owners who make us who we are. We've always been committed to providing an inclusive workplace where people can bring their full self to work and helps people reach their full potential - both as professionals and individuals. Together, we provide dream up innovative solutions for our clients industry-wide problems, design and construct spaces that become landmarks, and toast the good life at our happy hours. Take a peek into what makes us different here: ___ Position Summary: A Senior Fire Engineer in our Business sector, designs the most complex advanced building systems, prepares design documents and performs engineering calculations in coordination with project teams and multiple disciplines. They solve the most complex engineering problems and train, mentor and provide senior leadership to design staff which may include directly supervising others. Senior Engineers are heavily involved in business development, corporate operations and risk management activities. Key Responsibilities: • Directs and oversees the preparation of simple to the most complex design documents, system layouts, detailed drawings, schematics and specifications., • Leads project and design efforts from concept design through completion., • Reviews shop drawings for conformance to plans and specifications., • Performs research and makes recommendations as to the feasibility of systems or equipment. Evaluates and recommends products for their application., • Responsible for producing solutions to the most complex engineering problems and complicated design challenges through direct involvement or in an advisory capacity., • Ensures that production of drawings, specifications, reports and analyses meet scope, schedule, cost and quality requirements., • Proactively advises and mentors less experienced designers and engineers across teams or practices, providing oversight and technical guidance. Takes responsibility for the success of those under their direct supervision., • Makes recommendations on project staffing., • Directs the activities of project technical and administrative staff., • Strives to continuously develop and expand personal knowledge and the knowledge of others., • Assists Technical Managers and directors with establishing and implementing goals, policies, objectives and standards at the practice and/or sector level. Carries out and champions directives from technical and other leaders., • Influences the development of tools, resources and company practices., • Implements and reinforces design and engineering standards at the team or practice level., • Oversees the quality of projects and designs through the quality review process and regular check-ins, including providing final reviews for projects under purview., • Takes the lead in developing, establishing and maintaining relationships with strategic partners and customers in support of and to expand business opportunities., • Participates in client, company and/or industry events to build and maintain professional relationships., • Fosters a client-centric mindset and approach individually and within their team., • Communicates with clients as needed for the development and coordination of requirements and scope of work. Maintains proactive communications throughout the project cycle., • Anticipates and answers questions from clients and architects. Acts as a resource to others and directs in fact-finding and/or assists with answering questions., • Visits job sites to verify existing conditions and observe construction progress., • Resolves conflicts involving owners, architects and contractors as needed., • Identifies and seeks to fill gaps in industry and/or discipline knowledge on a continuous basis., • Identifies, understands and shares emerging technologies and industry trends and stays up to date on evolving codes and standards., • Proactively shares information and updates and related ideas and suggestions for technical and process improvements with peers and leaders., • Understands, teaches and applies Henderson's design guidelines, standards, policies and procedures., • Performs a range of project management responsibilities in alignment with the expectations of design leads overseeing discipline staff or technical consultants. Asks questions when performing unfamiliar tasks and acts as a resource for project coordination., • Responsible for or delegates and oversees project coordination activities for their discipline such as managing emails, coordinating scope and schedule, coordinating design team, attending client meetings, ensuring project quality, responding to client questions and coordinating project delivery., • Consistently performs to a higher standard of industry-wide expectations associated with carrying a PE license and being enabled as an Engineer of Record (EOR), including making reasonable engineering decisions and delivering the highest quality of work and accountability to projects., • May be enabled as an Engineer of Record, having additional involvement, oversight, responsibility and accountability for the overall signing and sealing of the project. Qualifications: • Bachelor's degree in relevant field of engineering (i.e., mechanical, electrical, fire protection, or architectural) preferred. 12 years of relevant experience and high school diploma or equivalent is required., • PE license required and may be counted toward 1 year of relevant experience., • Additional certifications and accreditations aligned with the relevant technical field (e.g., BEMP, CPD, CDP, NICET, RCDD, etc.) required., • Completion of the Fundamentals of Engineering (FE) exam preferred., • Certifications and accreditations aligned with sustainability backgrounds (e.g., CDP, LEED, WELL, etc.) preferred., • Expert knowledge and proficiency in engineering design, A&E industry, codes, design guides and standards relating to a broad range of practices, projects and/or program types required., • Working knowledge of earned value, contracts and construction processes and methods required., • Working knowledge of Revit and Bluebeam Revu required., • High technical aptitude: ability to learn, understand and utilize various systems and processes. Comfortability with training others on systems and processes., • Effective verbal and written communication skills; ability to communicate with designers at all levels in a clear and concise manner., • Effective critical thinking and problem-solving skills., • Team oriented and willingness and ability to function in a highly collaborative environment, in group projects and leading less experienced designers. Ability to also work independently as needed., • Adapts to changing work environments, priorities and organizational needs., • Ability to prioritize, execute and/or direct multiple tasks in a dynamic environment., • Ability to give and receive constructive feedback and adjust to coaching., • Proficiency with Microsoft Office suite and engineering design software applicable to your discipline or focus., • Must be a self-starter, proactive and willing to teach, manage and/or help others as needed., • Must be trustworthy and capable of handling sensitive information. We take care of our people. As a Henderson employee, you'll enjoy some pretty awesome perks. Trust us, your friends will all have work envy. Culture • Flexible Work Hours (Because we all need to balance work and life.), • Casual Dress Code (Be yourself, please.), • Paid Volunteer Time (We literally pay you to volunteer.), • Paid Parental Leave (Because we know both parents deserve to be there for a new child.), • Health and Wellness Initiatives (Get Fit and Stay Fit.), • Receptive and Forward-Thinking Leadership (Our doors are always open.), • Clear Career Path Options (We want you to excel.) Benefits • Industry-leading 401K match and profit sharing (When the company succeeds, we all share in that success.), • Employee Stock Ownership Plan (Yes, our employees are the owners.), • Paid Training for Professional Development (We'll pay for the time you take getting better at what you do.), • Performance Bonuses (When you do well, we reward you for your work.), • Comprehensive and Extensive Insurance (We've got you covered.), • Paid Term Life and Disability (We've got your family covered, too.), • Health Savings Account & Flexible Spending Accounts (We'll help you take advantage of tax savings.), • Paid Time Off and Sick Time off (Take a break. You deserve it!), • Financial Wellness & Coaching Program (Financial security makes you a happier team member.) More information can be found here - ___. Henderson Engineers, Inc. and Henderson Building Solutions are EEO Employers/Vet/Disabled and participate in the E-Verify program. Applicants for positions with Henderson Engineers/Henderson Building Solutions must be legally authorized to work in the United States, and verification of eligibility will be required at the time of commencement of employment. All offers will be contingent upon completion of the hiring process including verifications and background checks as required for employment. To all recruitment agencies: Henderson does not accept unsolicited resumes from search firms or agencies. Any resume submitted to any employee of Henderson without a prior written search agreement will be considered unsolicited and the property of Henderson. Please, no phone calls or emails. NOTICE TO CANDIDATES: RECRUITMENT FRAUD ALERT Henderson representatives conduct all email communications exclusively through a company email address that ends with @. We extend offers of employment only after a comprehensive interview process and will never ask you for a payment of any sort nor offer one for any reason. Henderson will not ask any applicant to purchase equipment, nor offer to reimburse any applicant for expenses incurred prior to employment. We will not request personal information until a legitimate offer of employment has been extended. If you suspect a recruitment attempt is fraudulent, you should cease communications. All legitimate job opportunities are posted on our company website's careers page.

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey. Position: Software Engineer Type: Contract Compensation: $40$63/hour Commitment: 30 hours/week Role Responsibilities • Configure development environments to support open-source projects in Rust., • Resolve dependency issues across various codebases to ensure seamless integration., • Ensure all tests pass consistently across different environments., • Work independently and asynchronously to meet project deadlines. Must-Have • Expertise in Rust with 2 years of industry experience., • Familiarity with setting up development environments., • High attention to detail., • Upload resume, • AI interview based on your resume, • For details about the interview process and platform information please check: Employment Type : Full Time Experience: years Vacancy: 1

This is an incredible opportunity to be part of a company that has been at the forefront of AI and high-performance data storage innovation for over two decades. DataDirect Networks (DDN) is a global market leader renowned for powering many of the worlds most demanding AI data centers in industries ranging from life sciences and healthcare to financial services autonomous cars Government academia research and manufacturing. DDNs A3I solutions are transforming the landscape of AI infrastructure. IDC The real differentiator is DDN. I never hesitate to recommend DDN. DDN is the de facto name for AI Storage in high performance environments - Marc Hamilton VP Solutions Architecture & Engineering NVIDIA DDN is the global leader in AI and multi-cloud data management at scale. Our cutting-edge data intelligence platform is designed to accelerate AI workloads enabling organizations to extract maximum value from their data. With a proven track record of performance reliability and scalability DDN empowers businesses to tackle the most challenging AI and data-intensive workloads with confidence. Our success is driven by our unwavering commitment to innovation customer-centricity and a team of passionate professionals who bring their expertise and dedication to every project. This is a chance to make a significant impact at a company that is shaping the future of AI and data management. Our commitment to innovation customer success and market leadership makes this an exciting and rewarding role for a driven professional looking to make a lasting impact in the world of AI and data storage. Were looking for a Senior Data Engineer to own and evolve the infrastructure and data ingestion layer that powers DDNs enterprise data platform. Youll be responsible for the systems that move data from source to warehouse and the platform reliability that analytics engineers and business stakeholders depend on not the modeling or dashboarding itself but everything underneath it. Youll work closely with analytics engineers data analysts and business stakeholders across Sales Finance Product and other areas. • Data ingestion manage batch ingestion tools (Fivetran) build custom pipelines where needed and design and implement real-time/streaming ingestion for product telemetry and event data, • Infrastructure & architecture manage and extend our GCP platform (BigQuery Composer IAM networking) using Terraform shape the technical direction of the platform as needs evolve and maintain CI/CD pipelines for safe deployments across repos, • Platform reliability keep production systems healthy monitor pipeline quality investigate failures and reduce technical debt, • Collaboration partner with analytics engineers on dbt and BI platform infrastructure needs; drive technical conversations about provisioning and scaling strategy, • 5 years in data engineering or platform/infrastructure engineering roles, • Strong hands-on experience with GCP especially BigQuery Cloud Composer (managed Airflow) IAM, • Proficiency in Terraform (or equivalent IaC) for managing cloud resources across environments, • Strong Python skills with demonstrated ability to build integrations automation and data pipelines, • Expert SQL and understanding of data warehouse patterns (schemas partitioning access controls), • Experience with CI/CD for data infrastructure, • Experience integrating data from diverse sources including SaaS platforms on-prem systems and cloud-hosted product infrastructure using both managed tools (e.g. Fivetran) and custom pipelines, • Experience with real-time / streaming data with demonstrated experience building and operating event-driven pipelines (Pub/Sub Kafka Dataflow or similar), • Bachelors degree in Computer Science Engineering or equivalent practical experience, • Experience with Sigma Computing or similar BI tool administration/API integration, • Familiarity with data quality frameworks (e.g. Elementary Great Expectations), • Experience with data governance tooling access controls column-level security policy enforcement, • Familiarity with dbt from a platform perspective how it runs how its deployed what it needs from infrastructure DDN has a very strong orientation towards these 4 characteristics and any successful employee will demonstrate these capabilities: Self-Starter - Takes independent action to identify and solve problems. Seeks out relevant information needed to make decisions. Gets involved with new initiatives. Success/Achievement Orientation - Delivers quality results consistently. Targets achieves (or exceeds) measurable results. Sets challenging goals focuses on critical priorities and is accountable. Problem Solving - Recognizes problems and responds with a systematic assessment that identifies and addresses cause of issue. Practical realistic and resourceful. Innovative - Builds and improves key business processes that enhance the effectiveness of DDN. Generates new ideas challenges the status quo and solves problems creatively. DataDirect Networks Inc. is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race color religion gender gender identity gender expression transgender sex stereotyping sexual orientation national origin disability protected Veteran Status or any other characteristic protected by applicable federal state or local law. Required Experience: Senior IC Employment Type : Full-Time Experience: years Vacancy: 1 Monthly Salary Salary: 105400 - 195700

DOBs Concrete Enforcement Engineering unit performs engineering reviews and field response for concrete-related projects. The unit audits licensed concrete testing addition to concrete projects the unit conducts audits on a variety of structures and foundations. The intern will work alongside seasoned professionals to gain valuable experience training and mentoring in the research and review of plans for concrete-related projects. Job Description Under the direction and supervision of a Licensed Professional Engineer the Concrete Enforcement Engineering Intern will: -Assist with a code compliance review of structural foundation support of excavation demolition and construction equipment drawings -Assist with site visits and inspections -Assist with concrete laboratory inspections and review of laboratory submission documents -Draft violations and prepare evidence packets -Conduct code research and building/application research -Be introduced to fundamental structural analysis concepts -Provide graphic support for various presentations and internal documents -Participate in administrative tasks REMOTE WORK When working a 35 hour/week schedule this position may be eligible for remote work up to 2 days per week pursuant to the Remote Work Pilot Program. WORK HOURS Up to 17 hours/week when school is in session Up to 35 hours/week during school break -Assist in writing technical reports COLLEGE AIDE (ALL CITY DEPTS) - 10209 Qualifications : For Assignment Level I: Matriculation at an accredited college or graduate school. Employment is conditioned upon continuance as a student in a college or graduate school. For Assignment Level II (Information Technology): Matriculation at an accredited college or graduate school. Employment is conditioned upon continuance as a student in a college or graduate school with a specific course of study in information technology computer science management information systems data processing or closely related field including or supplemented by 9 semester credits in an acceptable course of study. For Assignment Level III (Information Technology Fellow): Matriculation at an accredited college or graduate school. Employment is conditioned upon continuance as a student in a college or graduate school with a specific course of study in information technology computer science management information systems data processing or other area relevant to the information technology project(s) assigned including or supplemented by 9 semester credits in an acceptable course of study. Appointments to this Assignment Level will be made by the Technology Steering Committee through the Department of Information Technology and Telecommunications. SPECIAL NOTE Maximum tenure for all Assignment Levels in the title of College Aide is 6 years. No student shall be employed more than half-time in any week in which classes in which the student is enrolled are in session. Students may be employed full-time during their vacation periods. Additional Information : The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic including but not limited to an individuals sex race color ethnicity national origin age religion disability sexual orientation veteran status gender identity or pregnancy. Remote Work : No Employment Type : Part-time Experience: years Vacancy: 1

OpenAIs Forward Deployed Engineering (FDE) org sits at the intersection of product engineering research and go-to-market. Platform Engineer is a role within Forward Deployed Engineering (FDE) for strong software and ML engineers who want to build new platform capabilities from scratch grounded in re

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey. Position: Senior Agent Engineer Type: Contract Compensation: $500/hour Location: Remote Role Responsibilities • Develop and ship production AI agents including orchestration frameworks and eval harnesses., • Design and implement tool-use runtimes and multi-step workflows for agent systems., • Evaluate and improve retrieval systems that agents utilize for enhanced performance., • Collaborate on both frontier-lab and applied-product projects to innovate AI solutions. Must-Have • Experience in building in-house agent frameworks or cloud-agents runtime., • Expertise in eval infrastructure for agents including offline and online systems., • Proficiency with tool-use MCP or orchestration layers., • 20 mins async AI screen covering agent architectures and eval practices., • Upload resume, • AI interview based on your resume, • For details about the interview process and platform information please check: Employment Type : Full Time Experience: years Vacancy: 1

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey. Position: Software Engineer Type: Contract Compensation: $40$50/hour Role Responsibilities • Develop MCP servers using Python and FastMCP to enhance the RL Studio platform., • Integrate web or desktop applications into RL Studio for seamless operation., • Work with APIs Docker and Linux environments to ensure robust service configuration., • Implement hooks for app state management to maintain app stability and testability., • Test applications locally and debug build runtime and permission issues to meet platform standards. Must-Have • Strong Python skills., • Experience with APIs backend systems and debugging., • Familiarity with Docker Linux and local testing workflows., • Ability to work with configuration files and deployment pipelines., • Experience with FastMCP or similar frameworks., • Experience integrating third-party apps or developer tools., • Upload resume, • AI interview based on your resume, • For details about the interview process and platform information please check: Employment Type : Full Time Experience: years Vacancy: 1

About Us: Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice and patients accessing high-quality care. Powered by technology we are a three-sided marketplace that empowers providers augments insurance payors and serves patients. Following the mass increase in depression and anxiety the need for accessibility is more important than ever. To make our vision for mental healthcare a reality were building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021 weve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. Weve raised more than $178mm of funding from Sequoia Capital Transformation Capital TCV SignalFire and others. The Opportunity: Were looking for a Frontend Platform Engineer to build the platform that powers consumer-grade product experiences at scale. This role sits at the intersection of design product and engineering focusing on the core systems architecture and tooling that enable teams to move faster with confidence. Youll own the horizontal infrastructure that makes our web applications fast reliable accessible and easy to develop on from web architecture and performance to experimentation frameworks design system infrastructure localization and developer experience. Your work will enable every product team to ship high-quality consistent experiences without reinventing the foundation. This is a foundational role on a new team. Youll shape how web engineering scales at Grow as we launch a major new brand with significant marketing investment behind the web experience you build. What Youll Be Doing: • Build and maintain our core design system used by both engineers and designers owning architecture governance and extensibility, • Own web application architecture including SSR strategy build tooling dependency management and CI/CD for frontend, • Drive performance and reliability across all web surfaces Core Web Vitals caching frontend observability, • Develop scalable reusable frontend components and frameworks that power consistent high-quality experiences, • Establish and drive best practices across accessibility performance localization and responsiveness, • Build experimentation infrastructure at the web layer so product teams can run A/B tests with confidence, • Improve UI consistency and reduce regressions through strong abstractions testing and tooling, • Partner with product and engineering teams to integrate platform capabilities into their workflows, • Help shape an AI-forward development approach accelerating and democratizing frontend development, • 5 years of frontend or full-stack engineering experience ideally on platform infrastructure or developer experience teams, • Experience building and scaling design systems component libraries or developer platforms, • Fluent in modern frontend technologies (JavaScript/TypeScript React CSS systems), • Comfortable leveraging AI-assisted development workflows, • Strong understanding of web performance (Core Web Vitals caching bundle optimization) and frontend observability, • Experience with experimentation frameworks feature flagging or A/B testing infrastructure, • Collaborate effectively with designers and engineers across the product lifecycle, • Deep understanding of accessibility (WCAG) and localization at a systems level, • Think in systems identifying patterns simplifying complexity and designing for reuse, • Communicate clearly and influence product and UI decisions, • Youve built experimentation infrastructure or feature flagging systems from scratch, • You have experience with localization (i18n) frameworks or accessibility auditing tooling, • Youve worked with monorepo tooling (Turborepo Nx) or frontend build optimization, • You were once a product engineer before moving into platform you understand both sides As we scale maintaining a consistent high-quality user experience becomes increasingly complex and increasingly important. This role ensures we can move fast without sacrificing quality by building the foundation that every team relies on. Youll play a critical role in shaping our products technical identity strengthening the partnership between design and engineering and delivering a consumer-grade experience that sets a new standard in healthcare. Role Details: Employment Type: Full Time Exempt Base Compensation: The base compensation range for this position is: The base compensation for this role will vary depending on several factors including relevant experience qualifications and the candidates working location. Full Time Employee Benefits: • Comprehensive Health Coverage: Medical dental and vision insurance plus life and disability coverage., • Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend., • Financial Wellness: 401(k) program and equity opportunities., • Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals with tailored perks for both remote and in-office employees., • Time Off to Recharge: Flexible PTO 12 paid holidays and a full winter break week., • Wellness & Development: Annual stipends to put towards personal & professional growth., • Mental & Physical Health Support: No-costaccess to therapy through the Grow platform weekly flexible hours for self-care (Mental Health Mornings/Afternoons) and memberships to leading wellness apps (such as One Medical Headspace and Talkspace). Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories consistent with legal requirements. Use of AI Tools: By submitting your application you acknowledge and consent to the use of automated tools as part of our recruitment process. Specifically we use a third-party AI tool________________________

About Us: Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice and patients accessing high-quality care. Powered by technology we are a three-sided marketplace that empowers providers augments insurance payors and serves patients. Following the mass increase in depression and anxiety the need for accessibility is more important than ever. To make our vision for mental healthcare a reality were building a team of entrepreneurs and mission-driven go-getters. Since launching in February 2021 weve empowered more than ten thousand therapists and hundreds of thousands of clients across the country and insurance landscape. Weve raised more than $178mm of funding from Sequoia Capital Transformation Capital TCV SignalFire and others. The Opportunity: Were looking for a Frontend Engineer to build the platform that powers consumer-grade product experiences at scale. This role sits at the intersection of design product and engineering and focuses on developing the core components systems and tooling that enable teams to move faster with confidence. Youll play a key role in shaping our design system and frontend architecture owning both strategy and hands-on implementation. Your work will enable teams to ship high-quality consistent user interfaces without regressions or is a foundational role in building a world-class product surface and raising the bar for frontend craftsmanship as we scale. What Youll Be Doing: • Build and maintain our core design system used by both engineers and designers, • Develop scalable reusable frontend components that power consistent high-quality experiences, • Prototype and experiment rapidly to validate ideas before they are codified into the system, • Establish and drive best practices across accessibility performance localization and responsiveness, • Improve UI consistency and reduce regressions through strong abstractions testing and tooling, • Partner with product and engineering teams to integrate design system components into their workflows, • Create clear documentation guidelines and governance to support adoption and extensibility, • Raise the bar for visual polish interaction quality and overall frontend craft, • Have 5 years of frontend or fullstack engineering experience ideally in product-driven environments, • Have experience building and scaling design systems component libraries or developer platforms, • Are fluent in modern frontend technologies (JavaScript/TypeScript React CSS systems), • Are comfortable leveraging AI-assisted development workflows, • Collaborate effectively with designers and engineers across the product lifecycle, • Can quickly prototype and turn ambiguous ideas into polished interfaces, • Have a strong understanding of accessibility (WCAG) and performance best practices, • Think in systems identifying patterns simplifying complexity and designing for reuse, • Communicate clearly and influence product and UI decisions, • Care deeply about crafting intuitive consumer-grade user experiences The base compensation for this role will vary depending on several factors including relevant experience qualifications and the candidates working location. Full Time Employee Benefits: • Comprehensive Health Coverage: Medical dental and vision insurance plus life and disability coverage., • Parental Leave & Family Support: Up to 18 weeks paid leave and a new child stipend., • Financial Wellness: 401(k) program and equity opportunities., • Meals & Home Office Support: Stipends for home office setup and ongoing funds for meals with tailored perks for both remote and in-office employees., • Time Off to Recharge: Flexible PTO 12 paid holidays and a full winter break week., • Wellness & Development: Annual stipends to put towards personal & professional growth., • Mental & Physical Health Support: No-costaccess to therapy through the Grow platform weekly flexible hours for self-care (Mental Health Mornings/Afternoons) and memberships to leading wellness apps (such as One Medical Headspace and Talkspace). Grow Therapy is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race color ancestry religion sex national origin sexual orientation age citizenship marital status disability gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories consistent with legal requirements. Use of AI Tools: By submitting your application you acknowledge and consent to the use of automated tools as part of our recruitment process. Specifically we use a third-party AI tool________________________

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco our investors include Benchmark General Catalyst Peter Thiel Adam DAngelo Larry Summers and Jack Dorsey. Position: MLOps Engineer (JAX PyTorch Pallas/Triton) Type: Contract Compensation: $90$130/hour Location: Remote Role Responsibilities • Guide research and engineering teams to close knowledge gaps and improve AI model performance in MLOps training infrastructure and ML framework-level topics., • Design challenging domain-relevant tasks across multiple specializations. Write accurate and well-structured solutions to MLOps and ML systems problems., • Evaluate MLOps tasks and solutions. Provide clear written technical feedback., • Develop guidelines and detailed rubrics/evaluation frameworks to assess training pipeline design distributed systems reasoning and kernel-level optimization across tasks. Must-Have • 5 years of dedicated professional experience in ML infrastructure MLOps or ML systems engineering at a recognized top-tier organization., • Hands-on production experience with JAX and/or PyTorch at scale including distributed training strategies (FSDP tensor parallelism pipeline parallelism) memory optimization and framework-level debugging., • Experience writing or optimizing custom GPU kernels using Pallas (JAX) or Triton including tiling strategies memory layout design and kernel fusion., • Demonstrable career progression., • Ability to engage reliably for at least 30 hours/week during weekdays., • W-2 employment with Cincinnatus LLC., • Upload resume, • AI interview based on your resume, • For details about the interview process and platform information please check: Employment Type : Full Time Experience: years Vacancy: 1

Perceptas mission is to transform critical institutions with applied AI. We care that industries that power the world (healthcare manufacturing energy) benefit from frontier technology. We collaborate with industry-leading customers to drive AI transformation. We bring: * Forward-deployed expertise in engineering product and research * Mosaic our in-house toolkit for rapidly deploying agentic architectures * Strategic partnerships with Anthropic McKinsey AWS and the General Catalyst portfolio Our team is a fast-growing group of Applied AI Engineers Embedded Product Managers and Researchers motivated by getting frontier AI into the places that actually run the world. Percepta is a direct partnership with General Catalyst. Were hiring an AI Infrastructure Engineer to own the infrastructure deployment and operational reliability that powers Perceptas AI systems including the autonomous agents at the core of what we ship. Part of the work is hardening what exists: tightening our Terraform footprint strengthening deployment pipelines bringing more rigor to how we manage infrastructure across regions and providers. Part of it is building whats missing. And part of it is genuinely new territory figuring out what SRE means when the systems youre operating make autonomous decisions. The infrastructure patterns for the agentic systems of the future dont exist yet. Youll help define them. * Youre deploying autonomous systems. The infrastructure contract changes when your workloads have agency. * Observability means understanding why an agent made a decision not just whether a pod is healthy. * The gap between research and production is real here. Our teams move optimization algorithms and AI systems from research environments into production and youll be part of that handoff. MLOps experience isnt required but youll be closer to that boundary than most infra roles. * Small team. Real ownership. Youre making foundational decisions not inheriting someone elses. * Define infrastructure patterns for multi-agent systems that need to be observable controllable and recoverable in ways traditional apps dont require * Own and evolve our IaC stack: Terraform and Kubernetes across AWS GCP and Azure * Build observability primitives for agentic workflows tracing agent decisions and execution paths not just service latency and pod health * Design and maintain CI/CD pipelines that give teams fast trustworthy feedback from commit to production * Build operational foundations: monitoring alerting incident response and the new patterns that emerge when AI systems are participants in that response * Work across engineering teams to meet the reliability and compliance requirements of the institutions we serve (SOC 2 HIPAA regulated environments in healthcare and energy) * 5 years building and operating production infrastructure in DevOps or SRE roles * The kind of engineer who sees a manual process and cant rest until its automated well not just scripted * Strong hands-on Terraform experience * Deep experience with at least 1 major cloud provider (AWS GCP or Azure): networking IAM cost management the operational realities of production workloads * Solid Docker and Kubernetes experience in production. We run managed clusters across all 3 major clouds; this is a core part of the role * Experience designing and maintaining CI/CD pipelines (GitHub Actions GitLab CI or similar) * Scripting proficiency in Python Bash or similar * High agency: you dont wait for a ticket to fix whats broken but you communicate collaborate and bring the team along * Genuine curiosity about AI systems not just the infrastructure running them. You want to understand what youre operating * You find it interesting (not alarming) that some systems youll operate will be making decisions on their own * Multi-region and multi-cloud experience across 2 providers * Experience with single-tenant or on-prem deployments alongside multi-tenant SaaS * Familiarity with GitOps patterns and progressive delivery * Familiarity with the Grafana stack (Prometheus Grafana Loki) or equivalent * Experience with compliance frameworks (HIPAA SOC 2) and how they shape infrastructure decisions in regulated environments * Background supporting ML or research workflows moving to production: model deployment pipeline orchestration or similar * Youve thought about what observability means for non-deterministic systems and have opinions about it The infrastructure patterns for autonomous AI systems are still being written. If you want to be one of the people writing them lets talk. Dream bigger: We have the unique privilege of taking on the most ambitious problems and we should chase them with optimism responsibility and genuine belief that we can make it happen. We have to embrace the hard things when no one else will. Heart in the game: What were doing matters and we have to give a shit. Internally that means fixing badness when you find it. Externally it means honoring the trust our customers place in us with their most important problems. This isnt a 9-5 nor is it a job were ever going to monitor your hours. We promise to put work in front of you that matters and in return we ask you to promise to care. Win for the customer: Everyone is an engineer and the job of an engineer is to deliver outcomes not outputs. Everything we dothe products we build the partnerships we launch the strategy we setexists to make our customers successful. Delivery is the strategy. Make the call: Organizations are only as strong as the pace at which they make decisions. Everyone at Percepta should feel empowered to commit and shape the ambiguity in front of them. But make the call cuts both ways: make the decision and make the phone call. High-agency decision-making only works with high-bandwidth communication and we commit to never operate in silos. Intensity with kindness: We believe in excellence in execution candor in feedback ruthlessness in prioritization and survivalist urgency. We also believe you dont need to be an asshole to deliver on any of this. The trust built through shared kindness and vulnerability is what makes the intensity sustainable. Required Experience: IC Employment Type : Full-Time Department / Functional Area: Engineering Experience: years Vacancy: 1 Monthly Salary Salary: 180 - 300

Job Locations US-NJ-Paramus ID 2026-1947 Category Information Technology Type Regular Full-Time The AI Engineer, Biz Ops will build the AIpowered services that form the backbone of our decisionintelligence platform. In this role, you will take AI models developed by AI Scientists and transform them into scalable, productionready applications by designing inference pipelines, APIs, and supporting data flows. You will work closely with Data Engineers to integrate model pipelines with the broader data ecosystem and collaborate with business operations and commercial teams to convert manual, step-driven workflows into AInative services. This includes building reliable batch and realtime inference systems that generate measurable impact across business operations-not limited to any specific domain. This is a highimpact role for engineers who enjoy turning research into products, hardening systems for realworld use, and building the engineering layer that enables AI to operate at scale. While not required, an interest in or exposure to MLOps practices is strongly preferred. Productionize AI/ML models into scalable services (e.g., APIs, batch inference, streaming inference) with strong standards for reliability and performance. • Collaborate with AI Scientists to convert research prototypes into productionready components (feature computation, preprocessing, post-processing, evaluation loops)., • Integrate models with data pipelines built by Data Engineers and ensure seamless endtoend flow from raw data to AIdriven output., • Build and maintain inference pipelines using Python and orchestration frameworks (e.g., Airflow), supporting deployment across cloud and onprem environments., • Implement CI/CD, containerization, and automated testing to ensure safe, repeatable, and automated model deployments., • Establish monitoring and observability for models and services (system metrics, data drift, performance regression, alerting)., • Partner with BizOps and Commercial stakeholders to transform manual workflows into AIenabled services that improve operational decisionmaking., • Optimize end-to-end model serving latency, throughput, and cost using packaging strategies, scaling policies, caching, and parallelization., • Contribute to documentation, reusable templates, and engineering best practices to accelerate AI adoption across the organization., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related technical field., • Experience: 3+ years of software engineering experience, including building or deploying AI systems in production environments., • Skills:, • Strong proficiency in Python for services, pipelines, and ML tooling., • Experience deploying AI models in production across onprem or cloud environments (AWS or Azure)., • Experience with bigdata and orchestration frameworks (e.g., Spark, Airflow) for scalable pipelines., • Strong understanding of software engineering best practices including CI/CD, containerization (Docker, Kubernetes), automated testing, and version control., • Experience with model optimization techniques such as ONNX / ONNX Runtime, model quantization, or other performanceoriented inference tooling. Strongly Preferred • Interest or exposure to MLOps concepts (model registries, feature stores, experiment tracking, automated retraining, monitoring)., • Master's degree or higher in a relevant field., • Experience in regulated industries (e.g., biopharma, healthcare, and finance)., • A portfolio of launched AI/ML projects or contributions to production of AI systems., • Proficiency in SQL and familiarity with modern data warehouses such as Snowflake. Who Thrives in This Role • Engineers who enjoy transforming research into resilient, userfacing products., • Builders who balance rapid iteration with productiongrade engineering standards., • Collaborators who can partner with business teams to convert manual workflows into scalable AI services., • Pragmatic problemsolvers who can operate autonomously and drive impact in ambiguous, crossfunctional settings.

Job Locations US-NJ-Paramus ID 2026-1965 Category Information Technology Type Intern The AI Engineer Intern will support the design and implementation of AI-driven solutions for pharmaceutical and biotech applications, with a focus on drug discovery. This internship offers hands-on experience in applying artificial intelligence to real-world R&D challenges while working alongside experienced scientists and engineers. The intern will gain exposure to the drug discovery process and contribute to projects that explore how AI can improve efficiency and innovation. • Architect and manage agent-based systems that collaborate to execute drug discovery workflows, • Coordinate multiple AI agents (e.g., PI, modeling, simulation, optimization, critic) to enable automated discovery, • Assist in identifying opportunities within drug discovery where AI can enhance processes and outcomes, • Support the development and implementation of machine learning and deep learning models for research applications, • Reproduce and evaluate existing AI models and research papers to understand their applicability, • Help adapt and optimize AI solutions for new use cases within R&D workflows, • Contribute to building scalable and practical AI tools under guidance from senior team members, • Stay current with emerging AI trends and technologies and share insights with the team, • Collaborate with cross-functional teams to understand scientific problems and translate them into AI-driven approaches, • Currently pursuing a Bachelor's, Master's or PhD degree in Computer Science, Artificial Intelligence, Data Science, Bioinformatics, or a related field, • Experience with LLMs, agent frameworks, or workflow orchestration tools (e.g., LangChain, AutoGen, BioNemo, etc.), • Familiarity with coding tools (e.g., Codex, Claude Code, etc.), • Interest in pharmaceutical or biotech applications, particularly drug discovery, • Experience with academic or personal AI/ML projects, • Exposure to analyzing or reproducing research papers, • Coursework or projects related to life sciences, bi Strong analytical and problem-solving skills, • Willingness to learn and adapt in a fast-paced, innovative environment, • Effective communication and teamwork skills, • Ability to translate technical concepts into practical applications, • Bioinformatics, or computational biology, • Prior experience in drug discovery or AI research is a plus but not required, • Professional-level English communication skills are preferred

At Eisai, satisfying unmet medical needs and increasing the benefits healthcare provides to patients, their families, and caregivers is Eisai's human health care (hhc) mission. We're a growing pharmaceutical company that is breaking through in neurology and oncology, with a strong emphasis on research and development. Our history includes the development of many innovative medicines, notably the discovery of the world's most widely-used treatment for Alzheimer's disease. As we continue to expand, we are seeking highly-motivated individuals who want to work in a fast-paced environment and make a difference. If this is your profile, we want to hear from you. Eisai's Global Digital Business Transformation Team (GDBT) is looking for a motivated summer Intern to support AWS Cloud Optimization. The Intern will learn to review, analyze, and recommend optimization approaches to enhance overall cloud infrastructure services while reducing overall cost of ownership of all Cloud services and maintaining the cloud environment secure and protected from internal and external security threats. Moreover, in this role, the intern will have the opportunity to learn Infrastructure as a Code practice while helping to transition legacy and manual deployed cloud workload to Terraform code. Additionally, the intern will be exposed to learn methods to re-platform legacy solutions to Cloud Native services while we look to extend the migration of additional applications from on premises to the cloud. What You'll Do • Work with Cloud Architects and Engineers to determine cloud optimization opportunities, analyze resource utilization stats, identify overutilized resources, provide and implement recommendations to enhance the delivery of cloud services., • Work with Cloud Security engineer and operation resources to identify critical security items impacting the cloud ecosystem and work with BRMs and ITSOs to schedule time to remediate the security findings., • Complete review and analysis of all deployed Cloud Services to identify manually deployed services. Collaborate with Cloud Engineers to transfer the manually deployed services to Terraform Code, • Work with the Datacenter Operation Team and collaborate with ITSOs and BRMs to identify legacy applications that can be re-platformed and migrate to the cloud, • Work with Cloud and Infrastructure teams to become familiar with routine Cloud, Datacenter and Overall infrastructure Operation Management, • Work on special projects as assigned, including new Cloud Service Deployment and adoptions of GenAI in Cloud Operations., • Currently enrolled in a bachelor's or graduate degree program at an accredited academic institution in a relevant field (Information Systems Management, Computer Science, Data Science, or related discipline), • AWS Cloud Practitioner, • Code Development/Scripting, • Ability to explain complex or technical topics in plain language, • Strong organizational skills, • Solid analytical and critical thinking, • Eligible to work in the United States, • Must be a rising junior or senior, • Ability to work onsite at our Nutley, NJ office three days per week (Tuesday-Thursday), • Local candidates preferred due to the onsite requirement Eisai Salary Transparency Language: The hourly rate for the IT Intern, Cloud and Infrastructure is : $25. Eisai is an equal opportunity employer and as such, is committed in policy and in practice to recruit, hire, train, and promote in all job qualifications without regard to race, color, religion, gender, age, national origin, citizenship status, marital status, sexual orientation, gender identity, disability or veteran status. Similarly, considering the need for reasonable accommodations, Eisai prohibits discrimination against persons because of disability, including disabled veterans. Eisai Inc. participates in E-Verify. E-Verify is an Internet based system operated by the Department of Homeland Security in partnership with the Social Security Administration that allows participating employers to electronically verify the employment eligibility of all new hires in the United States. Please click on the following link for more information:

Job Description CNC Machine Maintenance Engineer - Massapequa, NY About our Client: Our Client is a global provider within a wide range of areas, including but not limited to aerospace and defense platforms, automation and manufacturing, and the medical and healthcare fields, all aiming toward advancing cutting-edge research and development. Higher Talent Group values its reputation for finding high-quality people, which is why we will conduct a screening to determine if this is a good fit for you. We will share further details such as the culture, how progression works within the company, etc. SUMMARY OF POSITION The CNC Machine Maintenance Engineer position is responsible for performing highly diversified duties to install, troubleshoot, repair, and maintain production and facility equipment according to safety, predictive, and productive maintenance systems and processes to support the achievement of the site’s business goals and objectives. ESSENTIAL DUTIES AND RESPONSIBILITIES The essential duties and responsibilities of this position are listed below. This list is not all-inclusive and may be amended from time to time. • Perform highly diversified duties to install and maintain production machines and the plant facility’s equipment., • Provide emergency/unscheduled repairs of production equipment during production and perform scheduled maintenance repairs of production equipment during machine service. Must have experience with Vacuum Braze Ovens., • Perform simple machinist duties and responsibilities., • Perform mechanical skills, including, but not limited to, mechanical, electrical, pneumatic, hydraulic, troubleshooting, and repair of production machines., • Read and interpret equipment manuals and work orders to perform required maintenance and service., • Diagnose problems, replace or repair parts, test, and make adjustments., • Perform regular preventive maintenance on machines, equipment, and plant facilities., • Perform a variety of plumbing maintenance and carpentry functions., • Use a variety of hand and power tools, electric meters, and material handling equipment in performing duties., • Detect faulty operations, defective material, and report those and any unusual situations to proper supervision., • Comply with safety regulations and maintain clean and orderly work areas. QUALIFICATIONS, KNOWLEDGE, SKILLS, AND EXPERIENCE REQUIRED • Technical Capacity., • Good Troubleshooting Ability., • Ethical Conduct., • Communication Proficiency., • Results Driven., • Initiative., • Valid Driver’s License., • Experience with the maintenance of CNC Machines or Vacuum Braze Ovens EDUCATION AND/OR EXPERIENCE • High school diploma/GED and completion of a craft apprenticeship, or an equivalent number of years of education and production maintenance experience., • 2+ years of manufacturing experience; some hydraulic, pneumatic, mechanical, and industrial skills with PLC experience, Industrial and Commercial electric, and HVAC., • AA in mechanical or electrical Engineering or a Certificate in Analytical Troubleshooting preferred. 5+ years in manufacturing/facilities maintenance preferred. PHYSICAL DEMANDS • While performing the duties of this job, the employee is regularly required to talk and hear. This position is very active and requires standing, walking, bending, kneeling, stooping, crouching, crawling, and climbing all day. The employee must frequently lift and/or move items over 50 pounds., • Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Fine manipulation and repetitive motion may be required for some duties. OTHER • Due to contracts with the United States Government, the candidate must be either a U.S. citizen or a Green card holder. COMPENSATION The anticipated salary range for this position is $110,000 to $125,000 annually. This range reflects the base salary for candidates who meet the requirements of the role, including experience, education, and location. Salary Disclaimer: Where a specific pay range is noted, it is a good-faith estimate only. At the time of this posting, the actual salary offered will be based on experience, skills, qualifications, market/business considerations, and geographic location. BENEFITS • Medical Plan, • Telehealth, • Prescription Drug Program, • Employee Assistance Program (EAP), • Dental Plan, • Vision Plan, • Retirement Plan with company match, • Paid Time Off, • Health Savings Account and/or Flexible Spending Accounts, • Life and AD&D Insurance, • Disability Insurance (Short and Long Term offerings) NOTE The above is presented as a matter of occupational information and guidance only; all other reasonable tasks, duties, and responsibilities that management may deem necessary for satisfactory performance may be included. ABOUT HIGHER TALENT GROUP Higher Talent Group offers candidates full-time opportunities at companies hiring nationwide. We also provide resume and career coaching services for individuals who require assistance in getting back into the workforce or for candidates who want to start looking for a new opportunity discreetly. Want to learn more? Check out our website for additional information.

Job Locations US-NY-New York Job ID 2026-13721 # of Openings 1 Category Engineering Benefit Type Salaried High Fringe/Full-Time LMI is seeking a C-UAS Engineer to lead planning and execution of test and evaluation projects for our DHS client. Candidates should have strong project management abilities to lead planning and execution of test and evaluation and C-UAS projects for our DHS client in collaboration with other federal agencies (FBI, DOD, other). This is an on-site position in the New York City area and requires the ability to obtain a Secret clearance. You must be a U.S. citizen. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Provide engineering support to NUSTL's Counter-Unmanned Aircraft Systems (C-UAS) Research, Development, Test and Evaluation (RDT&E) Programs and Projects • Integrate C-UAS systems from commercial and government off-the-shelf component sensors, • Provide hands on set-up and operations of C-UAS technology systems for demonstration including set-up and tear-down, logistical support and system operations support, • Develop accompanying documentation (e.g., system specifications and CAD drawings), • Work hands-on with customers to build C-UAS systems in the laboratory and support product integrations in customer/partner environments, • Assist with gathering and validating customer requirements, • Assist in the development of test strategies for anticipated test activities involving a variety of sensor modalities, including radars, electro-optical and infra-red (EO/IR), passive and active RF, and acoustic sensors, • Assist in the drafting of test planning documents, • Assist in the planning and execution of tests, field assessments, and other test events, • Collect and analyze test data in R, Python, or other languages / tools, • Assist with drafting and editing of test reports and other technical documents, • Develop project documents such as project charters, project management plans, weekly and monthly reports, and other reporting documents, • Bachelor's degree in applicable engineering discipline, • 3+ years of relevant engineering and technical experience; 1+ years of relevant experience with a master's degree, • Interdisciplinary engineering skillsets is preferred, • Knowledge of geospatial analysis tools (ArcGIS Pro, ArcGIS API for Python), • Part 107 UAS Certification is desired but not required, • Demonstrated analytical and problem-solving capabilities, • Ability to effectively collaborate with internal and external customers, • Strong team player with customer-focused attitude, • Occasional travel required to various test sites, • Ability to pass a DHS background investigation and obtain a Secret clearance

Job Locations US-NJ | US-PA | US-DE | US-NY ID 2026-19201 Job Function Service & Support As one of the world's leading analytical instrumentation companies, Bruker covers a broad spectrum of advanced solutions in all fields of research and development. All our systems and instruments are designed to improve safety of products, accelerate time-to-market and support industries in successfully enhancing quality of life. We've been driving innovation in analytical instrumentation for 60 years now. Today, worldwide more than 10,000 employees are working on this permanent challenge, at over 90 locations on all continents. Please note this position that does require frequent travel within the region. We do require our Field Engineers to reside within the region. The specified region will be the states of VA, WV, MD, DE, NJ, PA, NY, CT, VT,MA, ME, and NH. New opportunity for a Field Service Engineer to install and support high technology equipment in research, pharmaceutical, university and government labs for Bruker BioSpin, a leading manufacturer of nuclear magnetic resonance (NMR), magnetic resonance imaging (MRI) and compact magnetic resonance (CMR) spectroscopy instruments and accessories. The Field Service Engineer works with highly complex equipment that requires advanced understanding of these instruments to perform installation, maintenance, troubleshooting, and repair service activities. Install new or modified systems or accessories at customer facilities and ensure full functionality according to specifications. • Provide on-site technical assistance to install, service, and repair equipment., • Familiarize and train customers for basic operation of the equipment., • Secure customer acceptance of installation and repair sign-off., • Re-qualify the entire instrument after service repair by running complex compounds for verification., • Serve as a supportive and effective communication link between the customer and company to ensure customer service satisfaction., • Actively attend and participate in life science technology and product training., • B.S. in Physics, Electrical Engineering, Electronics, Biotech, Biology or Chemistry discipline., • Minimum 3 years' work experience diagnosing and repairing complex mechanical, electromechanical and/or electronic equipment., • Knowledge of NMR and MRI, analog electronics, high voltage circuitry/circuits, cryogenics, and ultra-high vacuum technology is highly desirable., • Strong technical skills involving analytical instrumentation., • Excellent customer focus with ability to reliably respond to inquiries, communicate and interact with Scientists that possess a Ph.D. (or Master's Degree) in Biochemistry, Biophysics or Microbiology., • English fluency with strong oral, reading, written, MS Office, computer, technical data, and networking communication and presentation skills, with ability to communicate complex technical issues in an easy to understand manner., • Excellent organizational skills with ability to work independently, prioritize, multi-task, follow through, and meet deadlines within an entrepreneurial and customer-focused work environment., • Ability to satisfactorily complete position compliance and training requirements, • Attend and actively participate in quarterly scientific technical training programs, • Ability to lift up to 50 lbs., transport equipment and tools in excess of 300 lbs., • This position requires lifting heavy objects and maneuvering large bulky items (examples: tools, mechanical pumps, rigging equipment, power supplies, field mapper)., • This position requires reasonable dexterity to perform manual functions in confined spaces., • Proven ability to follow safety standards, practices, and codes., • Valid Driver License in good standing, issued by resident state, with reliable transportation., • U.S. Citizenship or U.S. Permanent Resident status required., • Maintain a valid passport with flexibility for domestic and international travel., • May be required to pass security clearance investigation. At Bruker, the base salary is part of our total compensation. The estimated base salary range for this full-time position is between $60,750 and $108,000 and provides an opportunity to progress as you grow and develop within a role. The base salary for the role will depend on several job-related factors, including, but not limited to, education, training, experience, the geographic location of the successful candidate, skills, competencies, job-related knowledge, and travel requirements for this position. Full-time employees may also be eligible for a performance-related incentive in addition to a full range of benefits, including 401(k) with company match, an employee stock purchase plan, medical and dental plans, life insurance, short-term and long-term disability insurance, employee assistance program and paid time off including vacation, sick time and holidays, and more. Bruker is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, national origin, disability, veteran status, and other protected characteristics. Certain positions at Bruker require compliance with export control laws and as a result, all interviewed candidates for all positions will be screened pre-interview to determine their eligibility in light of export control restrictions.

Product Support Engineer Cooley is seeking a Product Support Engineer to join the Product team, which is part of the larger Innovation group at the firm. About Cooley: Cooley is a global law firm with an expansive practice and more than 3,000 employees and partners worldwide. We value and celebrate diverse perspectives and strive to create a workplace where every individual can thrive. At the core of Cooley's success is the exceptional talent and unwavering spirit of our people. We embrace individuality while fostering a 'one-firm' culture where collaboration and creativity thrive. Our people are the foundation of our success and the driving force behind everything we do. Hybrid Schedule: As part of the Cooley culture, we recognize and appreciate the value of being together, in person, to build comradery with others in the office and to be a contributing member of the Cooley office. However, we also appreciate the benefits and flexibility that come from remote working. As such, the default assumption for employees and partners is a hybrid schedule: some in-office presence and some work from home days absent certain essential in-office roles that require five (5) days/week in-office. Position summary: As a leading technology law firm, Cooley is committed to becoming a leader in the digital practice of law. To support this mission, the Product Support Engineer plays a critical role within the support team by serving as the primary escalation point for complex and technically challenging product issues across Cooley's application portfolio. Under the direction of the Manager of Support and Training, and with guidance from the Associate Director of Product, the Product Support Engineer bridges support and engineering by triaging, analyzing, and investigating unresolved or recurring issues. This role focuses on identifying root causes, validating resolutions, and determining appropriate next steps before escalating issues to product and development teams for final resolution, helping to improve product stability, performance, and quality over time. Specific duties and responsibilities include, but are not limited to, the following: Position responsibilities: Advanced Support & Escalation • Serve as the Level 2+ escalation owner for issues unsolved by product support specialists, • Perform structured triage, including replication, rootcause hypothesis, impact assessment, and recommended next step, • Resolve issues directly when feasible (configuration, small fixes, scripts, workflows), • For issues requiring engineering intervention, create highquality development tickets with clear problem statements, logs, reproduction steps, and acceptance criteria, • Act as connective tissue between support, product, engineering, and training, • Communicate trends, recurring defects, and product gaps to product managers, • Participate in agile ceremonies when requested (backlog grooming, sprint planning, bug triage) Quality, Stability & Readiness • Identify patterns in escalations and proactively recommend improvements to documentation, training materials, support workflows, or product features, • Contribute to release readiness reviews by validating bug fixes and contributing acceptance notes, • Share knowledge with support specialists and participate in their skill development under guidance of the product support & training manager, • All other duties as assigned or required Skills and experience: Required: • After orientation at Cooley LLP, exhibit proficiency in the Microsoft Office suite, iManage and other firm applications, • Ability to work extended and/or weekend hours, as required, • Ability to travel, as required, • 4+ years directly applicable experience (e.g., application support engineer, technical support engineer, product support engineer, or quality assurance engineer) - Senior level candidates considered with 5+ years' experience with proven ability to operate at an elevated level in terms of scope of responsibility, judgement and autonomy., • Experience supporting SaaS, enterprise web applications, or custom internal tools, • Familiarity with software development practices, including agile/scrum, version control, and CI/CD awareness, • Strong diagnostic skills across APIs, web applications, authentication, data validation, and system integrations, • Hands-on experience with Azure DevOps, Jira, Confluence, or comparable systems, • Ability to read and understand code (e.g., basic familiarity with scripting languages, JSON, XML, SQL) Preferred: • Bachelor's degree, • Experience in Agile/Scrum environments, • Familiarity with cloud platforms (Azure preferred), • Experience writing or maintaining internal troubleshooting documentation, • Background in QA, systems analysis, or light development, • Familiarity with user research methods, experiment design, and A/B testing, • Experience collaborating closely with product teams to launch new features or products, • Technical curiosity and ability to dive into application behavior, data structures, and systems, • Experience working in a legal services environment with preference to experience in AMLAW 200 law firm or in-house legal department with greater than 50 attorneys Competencies: • Excellent communication skills-able to translate technical concepts for nontechnical audiences, • Comfortable with technology and a willingness to learn more, • Highly organized with excellent time management and project management skills and the ability to work independently to meet objectives and deadlines, • Excellent communication skills with all levels of internal and external stakeholders, • Eager to create solutions in addition to identifying problems, • Takes initiative and drives things forward independently, • Deep care for user needs and experience, • Comfortable exploring data to guide recommendations, • Works effectively across teams to achieve shared outcomes, • Comfortable taking responsibility for outcomes and followthrough, • Entrepreneurial by nature, • Excellent attention to detail, • Exceptional interpersonal and communication skills with ability to facilitate and solve problems, • Ability to organize, prioritize and coordinate multiple activities often under tight timelines, • Ability to drive projects to completion and achieve goals, • Strong judgment, • Team-player with collaborative spirit, • Unwavering ability to handle and maintain confidentiality regarding firm information, projects,, • client data, • High level of professionalism at all times, • Proactive, analytical mindset, • Effective presentation skills Cooley offers a competitive compensation and excellent benefits package and is committed to fair and equitable employment practices. EOE. The expected annual pay range for this position with a full-time schedule is $120,000 - $175,000. Please note that final offer amount will be dependent on geographic location, applicable experience and skillset of the candidate. Senior level candidates may be considered for this position and would be eligible for a higher salary range based on experience. We offer a full range of elective benefits including medical, health savings account (with applicable medical plan), dental, vision, health and/or dependent care flexible spending accounts, pre-tax commuter benefits, life insurance, AD&D, long-term care coverage, backup care for children and/or adults and other parental support benefits. In addition to elective benefit options, benefited employees receive firm-paid life insurance, AD&D, LTD, short term medical benefits as well as 21 days of Paid Time Off ("PTO") and 10 paid holidays each year. We provide generous parental leave and fertility benefits. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources.

The goal of a Senior Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers. Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like ___ and ___. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications. • Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers, • Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics, • Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines, • Work with massive datasets to develop both generic models as well as fine tune models for specific products, • Build scalable machine learning infrastructure to automate and optimize our ML services, • Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations, • Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment, • Comfortable with light travel (approximately 10%) for customer interaction and team needs, • This role will require an active security clearance or the ability to obtain a security clearance, • Extensive experience with GenAI, Agentic AI, natural language processing, deep learning and deep reinforcement learning, or computer vision in a production environment, • Solid background in algorithms, data structures, and object-oriented programming, • Strong programing skills in Python, experience in Tensorflow or PyTorch, • Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization, • Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments, • Experience with computer vision, generative AI models, large language models, or agentic systems About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Lead applied ML engineering on Scale's Applied ML team, powering data infrastructure for leading agentic LLMs (ChatGPT, Gemini, Llama). You will build scalable multi-agent systems to validate agentic reasoning and behaviors, scale human expertise, and drive research into real-world agent reliability failures despite strong benchmarks, shipping production fixes. Ideal for exceptional engineers with deep research rigor and a relentless focus on practical, high-impact systems. You will iterate rapidly with data, leverage AI tools to accelerate development, and collaborate tightly across engineering, product, and research. If you excel at turning frontier agent research into reliable deployed systems, we want to hear from you. You will: • Build and deploy multi-agent systems for agentic reasoning validation, • Develop pipelines to detect errors and scale human judgment, • Combine classical ML, LLMs, and multi-agent techniques for reliability, • Lead research into agent failure modes and ship fixes, • Use AI tools to speed prototyping and iteration, • Build data-driven evaluations and deploy rapid improvements, • PhD or MSc in Computer Science, Mathematics, Statistics, or related field, • 3+ years shipping scaled production ML systems, • Demonstrated real-world impact, • Mastery of PyTorch, TensorFlow, JAX, or scikit-learn, • Deep expertise in agentic LLMs and multi-agent systems, • Strong software engineering and microservices (AWS/GCP), • Rapid, data-driven iteration, • Proficiency using AI tools to accelerate work, • Strong research depth with practical bias, • Experience prototyping agent evaluation/reliability systems, • Human-in-the-loop or annotation pipeline work, • Open-source contributions in agents, evaluation, or alignment About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's Pay Transparency provision. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

At Henderson, we're about more than just buildings We're about the people, experiences, and potential found inside. We're a company of problem-solvers and innovators known for our technical excellence and ability to come up with out-of-the-box solutions. We love the process of bringing buildings to life. And we're changing the industry by integrating the building design and construction process. As an ESOP, each of our employee-owners are an essential part of our mission to lead the industry in innovation, sustainability, and client experience. With a vision to build a better world, Team Henderson has a people-first culture and diverse portfolio of world-class facilities. It's What We Do We provide total building system design services across multiple high-growth markets for industry leaders. You'll get to use your talent to work on projects for some of the biggest names in mission-critical, higher education, sports, healthcare, grocery, restaurant, and retail within the sectors we serve in business, community, grocery, health, retail, & venue. It's How We're Different We're about more than just buildings. We're about you. You, and the hundreds of passionate employee-owners who make us who we are. We've always been committed to providing an inclusive workplace where people can bring their full self to work and helps people reach their full potential - both as professionals and individuals. Together, we dream up innovative solutions for industry-wide problems, design spaces that become landmarks, and toast the good life at our happy hours. Take a peek into what makes us different here: ___ Position Overview: As a mid-level refrigeration design engineer at Henderson Engineers, you will have the opportunity to contribute your expertise to our six market various sectors, including Business, Community, Grocery & Distribution, Health, Retail, and Venue. Within each sector, we seamlessly integrate our engineering knowledge with the in-the-field experience of our sister company,___, to deliver a client experience unlike any other in the industry. To learn more about the facilities included in our sectors check out our website: ___ Key Responsibilities: • Performs calculations and designs basic to advanced engineering systems with a high degree of independence., • Prepares basic to advanced electrical system layouts, detailed drawings, and schematics., • Review shop drawings for conformance to plans and specifications., • Performs research and makes recommendations as to the feasibility of systems or equipment. Evaluates products for their application., • Assists with developing, establishing, and maintaining relationships with strategic partners and customers in support of business development and/or pursuit activities., • Proactively seeks opportunities for continuous learning and understanding of industry software, including Revit, Bluebeam Revu, and Microsoft Office Products., • May support or be responsible for project coordination activities such as managing emails, coordinating scope and schedule, attending client meetings, ensuring project quality, responding to client questions, and coordinating project delivery. Mid-Level: • Bachelor's degree in mechanical or architectural engineering preferred and 3 years of relevant experience, or 5 years of experience without degree required. Professional Engineering (PE) license may be counted toward 1 year of direct experience., • Bachelor's degree in mechanical or architectural engineering preferred and 7 years of relevant experience, or 9 years of experience without degree required. Professional Engineering (PE) license may be counted toward 1 year of direct experience., • Have at least 1 year of previous exposure to mechanical/HVAC and refrigeration design capability in commercial project design, retail, or related markets., • Professional Engineering (PE) license., • Completion of FE exam, LEED and/or WELL accreditation. Individual salaries may be higher or lower than the stated range depending on factors unrelated to the applicant's race, color, religion, gender, sexual orientation, gender identity, national origin, ethnicity, age, or disability. Salary can vary from this range based on geographic cost of labor statistical differentials. Salary ranges New York Salary Range: $85,263 - $146,775 Los Angeles Salary Range: $81,070 - $139,556 Denver Salary Range: $76,877 - $132,338 Philadelphia Salary Range: $76,877 - $132,338 Las Vegas Salary Range: $73,382 - $126,323 NOTICE TO CANDIDATES: RECRUITMENT FRAUD ALERT Henderson representatives conduct all email communications exclusively through a company email address that ends with @hendersonengineers.com, @hendersonbuilding.com. We extend offers of employment only after a comprehensive interview process and will never ask you for a payment of any sort nor offer one for any reason. Henderson will not ask any applicant to purchase equipment, nor offer to reimburse any applicant for expenses incurred prior to employment. We will not request personal information until a legitimate offer of employment has been extended. If you suspect a recruitment attempt is fraudulent, you should cease communications. You may contact us at ___ to verify whether a recruitment contact is legitimate. All legitimate job opportunities are posted on our company website's careers page.

• Perform delivery of projects and enhancements in support of the university's various enterprise systems and providing guidance to application developers including business analysis, high level design, detailed design, development, testing, implementation, and on-going maintenance of enterprise systems operations., • Assist with implementing reporting and analysis solutions., • Guide application developers on complex business systems analysis, software development, and information systems implementations and integrations to ensure successful delivery of planned projects., • Operate under firm deadlines managing multiple assignments concurrently and independently with minimal supervision., • Work closely with other teams within the Information Services & Technology division in solving ad-hoc information management issues using the most current information technologies available., • Assess the complexity of the solution, plan and manage the application delivery, guiding the work of other technical team members and managing task dependencies as applicable., • Lead the assessment, installation, configuration, integration, deployment, and ongoing support of the ERP and third party vendor applications, including cloud platforms., • Provide technical leadership and mentorship to application developers as well as perform hands-on technical tasks, collaborate and guide the team to identify, analyze and fix technical issues and challenges.___, • Respond to incidents, service outages and service requests in a timely manner as delegated by the Assistant CIO, CRM and Student Information Systems and the Associate CIO, Enterprise Applications, and collaborate with other technical team members, functional partners and vendors for problem resolutions., • Ensure application systems integrity by performing periodic software audits and maintain appropriate change control, test plans and code review documentation for audit purposes., • Collaborate with the Manager, Architecture and Integration to ensure new software integrations meet functional requirements, system compliance, and interface specifications., • Oversee the daily activities of project teams and liaison with team members, management, and campus partners to ensure the successful and timely delivery of project commitments., • Identify and mitigate risks and form appropriate contingency plans., • Research and propose systems enhancements, vendor solutions, process improvements and automations to address functionality gaps and meet new functionality demands and business needs and prepare documentation of rationale to share with team members and campus partners., • Participate in peer-reviews of solution designs and related code. Package and support deployment of releases. Work with team members in IST for migration of legacy applications., • Ensure quality of deliverables by establishing and following best practices and standards., • Perform other duties as assigned and as needed, including readiness to support after hours and weekends. Requires a Bachelor's degree in Electrical Engineering and 3 years of experience in job offered or 3 years of experience as a Software Engineer or any other job title performing the following job duties:, • Configuring and testing implementation of student information systems and/or patient vitals device capture equipment;, • Supporting the IT and enterprise information system needs of department heads;, • Developing workflows according to business requirements;, • Performing final user acceptance testing;, • Reviewing data quality issues;, • Analyzing and testing system solutions;, • Providing user support and troubleshooting with colleagues;, • Advising staff of system upgrades, releases and patches; and

Job ID 2026-4638 Category Sales Job Locations US-NY-New York Workplace Arrangement Remote Lead HighImpact AV/IT Strategies as a Senior Pre-Sales Solutions Engineer at Shure As a Solutions Engineer, you'll be a key partner to our B2B customers - helping them understand how Shure's industryleading technology can solve realworld challenges. You'll create demand by proactively engaging prospects, uncovering needs, and proposing smart, tailored AV/IT solutions that elevate the customer experience. You'll use your technical insight to engage customers early, understand their challenges, and recommend the best path forward with Shure solutions. We're looking for someone who communicates with confidence, understands AV/IT systems deeply, and thrives in a consultative, relationshipdriven environment. If you enjoy solving problems, educating customers, and driving meaningful business growth, you'll feel right at home here. This role is based in the New York City, NY area. If you are interested in similar roles in other metropolitan areas across the U.S., please view our openings at Identify and Target Prospects: Research and identify potential B2B customers who could benefit from Shure's AV and IT solutions. • Lead Generation: Develop and implement strategies to generate leads through various channels, including webinars, social media, and industry events., • Market Research: Stay updated on industry trends, competitor activities, and customer needs to refine prospecting approaches., • Qualify projects and determine their potential readiness to benefit from Shure's solutions., • Customer Needs Analysis: Understand and document customer business challenges and needs through active listening and strategic questioning., • Product Education: Develop and deliver customized content to educate prospects about Shure's products and solutions, demonstrating how our offerings can address their AV and IT requirements effectively., • Solution Proposal: Lead complex solution design and implementation by delivering tailored recommendations to address end-user needs., • Sales Targets: Meet or exceed assigned sales targets and KPIs through effective management of the sales cycle (Opportunity tracking in Salesforce)., • Proactively monitor expansion and growth opportunities with key accounts., • Team Collaboration: Work closely with the sales team, marketing department, customer success, and technical experts to ensure cohesive and comprehensive customer experiences., • Reporting: Maintain accurate and up-to-date records of prospect interactions, sales activities, and performance metrics using Salesforce CRM tools., • Represent Shure at Industry events and conferences., • Act as a thought leader to drive adoption of new technologies and best practices., • Lead customized end-user engagement activations., • Bachelor's degree in Engineering, Marketing, Communications, or a related field., • 5 or more years of experience using skills as a seasoned, experienced professional with a comprehensive technical knowledge of audio principles and products., • Experience providing audio technical support, audio design, and audio equipment set-up., • Background or experience with 1-2 of the following: Integration, conferencing, or networking., • Understanding of industry practices and/or company policies and procedures., • Excellent communication and presentation skills., • Enjoy meeting and dealing with new people., • Knowledge of audio DSP technology., • Expert troubleshooting skills., • Ability to learn new technologies., • Ability to handle multiple assignments, work independently, and see projects through to successful completion., • Detail-oriented, well-organized, and good time management skills., • 50% travel annually - including some weekends - is required. Applicants for this position must be currently authorized to work in the United States on a full-time basis. Shure will not sponsor applicants for this position for work visas. WHO WE ARE Shure's mission is to be the most trusted audio brand worldwide - and for over a century, our Core Values have aligned us to be just that. Founded in 1925, we are a leading global manufacturer of audio equipment known for quality, reliability, and durability. We engineer microphones, headphones, wireless audio systems, conferencing systems, and more. And quality doesn't stop at our products. Our talented teams strive for perfection and innovate every chance they get. We offer an Associate-first culture, flexible work arrangements, and opportunity for all. Shure is headquartered in United States. We have more than 35 regional sales offices, engineering hubs, distribution centers and manufacturing facilities throughout the Americas, EMEA, and Asia. Join Shure and Amplify Your Impact. Explore our unique culture and learn the key pillars that define our legacy of excellence. THE MIX MATTERS Don't check off every box in the job requirements? No problem! We recognize that every professional journey is unique and are committed to providing an equitable candidate experience for all prospective Shure Associates. If you're excited about this role, believe you've got the skills to be successful, and share our passion for creating an inclusive, diverse, equitable, and accessible work environment, then apply! PAY TRANSPARENCY Shure offers a competitive compensation structure that is reviewed annually to attract, hire, and retain the industry's top talent. Base salaries vary based on qualifications, geography, experience, and expertise in each respective discipline. The range displayed on each job posting reflects the minimum and maximum base salary for the opportunity. The base salary for this position ranges from $93,800 to $159,500 with a midpoint target. This position may also be eligible for our incentive pay program, which varies based on individual and Company performance in the year. If your salary expectations do not align, still apply as we are often flexible on the seniority of posted positions. All positions also include an award-winning benefits package. WE GOT YOU - Our Benefits At Shure, we prioritize the well-being of our Associates. We offer competitive rewards packages to full-time and part-time Associates working 24 or more hours a week that address physical, mental, financial, and overall well-being. Our benefits include comprehensive healthcare, mental health and retirement savings plans, generous paid time off programs, employee discounts, professional development opportunities, work-life balance initiatives, employee recognition programs, and volunteering/community involvement opportunities. To learn more, check out our Benefits At A Glance. #LI-REMOTE IND123

• Job Type: Officer of Administration, • Regular/Temporary: Regular, • Hours Per Week: 35 The Lamont-Doherty Earth Observatory (LDEO) is seeking anIntermediate Linux Systems Engineerfor a full-time career opportunity. Reporting to the Director of Research Computing and Campus Infrastructure, the Intermediate Linux Systems Engineer will manage LDEO's portfolio of Research Computing systems-designing and implementing new solutions as needs arise, while providing ongoing maintenance and operational support. This role is integral to architecting and developing solutions for LDEO's hybrid computing infrastructure, supporting both on-premises and cloud environments. The incumbent will work within the LDEO Information Technology group, supporting research computing and networking across the Palisades campus and beyond. Responsibilities • System Deployment & Administration: Develop and execute system deployment plans tailored to research needs and our core services, aligning with institutional policies., • Linux System Administration: Provide administration and support for Linux-based systems across both cloud-hosted and on-premises virtualized environments., • Hardware & Maintenance: Administer and maintain server hardware, including rackmount servers, storage arrays, and network equipment., • Software Testing & Upgrades: Test new software versions, participate in upgrades, and create documentation such as flowcharts and diagrams., • Operational Support: Perform daily user support, system operations, upgrades, and institutional audits., • Problem Resolution: Ensure timely resolution of all server and client computing/application issues., • Knowledge Development: Develop, maintain, and share knowledge of best practices for troubleshooting recurring issues., • Monitoring & Reporting: Create automated reports, respond to hardware and software alerts, and implement new monitoring processes as needed., • Documentation & Feedback: Provide ongoing documentation of configuration and installation processes, and report resource or knowledge gaps as needed., • Bachelor's degree in Computer Science or related field is required., • Experience: Minimum of 3 years of related professional experience in Linux system administration., • Technical Expertise: Experience installing, configuring, and maintaining Unix/Linux systems on bare-metal, virtualized environments, or public cloud providers., • Data Lifecycle Management processes., • Cloud service providers, particularly Amazon Web Services (AWS)., • UNIX/Linux (RHEL) systems administration., • Backup systems for physical and virtual hardware (e.g., Avamar, Veeam)., • Monitoring tools (e.g., Nagios) NAS/SAN hardware and software., • Ability to prioritize and manage multiple tasks under short deadlines., • Ability to work independently and collaboratively., • Strong attention to detail, with the ability to align IT goals with institutional objectives., • Excellent analytical, oral and written communication, and interpersonal skills., • Experience using ticketing systems (e.g., Osticket, Jira, Bugzilla, ServiceNow)., • Ability to exercise sound judgment, discretion, and tact in a professional setting. Columbia University is committed to the hiring of qualified local residents.

Job Description Job Description Traffic Systems Sales Estimator Company: Intelligent Traffic Supply Products, LLC (ITS) Location: South Plainfield, NJ Industry: Intelligent Transportation Systems (ITS) & Infrastructure We are currently seeking a Traffic Systems Sales Estimator to join our team. In this role, you will analyze intersection construction plans and respond to RFQs to secure the sale of products. Utilize your skills in plan/schematics interpretation, mathematical calculations and data management to define job scopes, detail job requirements, and delivery results to customers. Our team will provide comprehensive training on transportation systems and signal equipment. If you thrive in a collaborative environment, have a keen eye for detail, and are excited to learn and grow within a new industry, this is the role for you! Apply today to be part of a company where your estimating expertise makes a real impact! Key Responsibilities: • Research and respond to public bid opportunities for upcoming government jobs, • Receive and respond to requests for quotes from contractors and municipalities, • Research contracts, job specifications and schematic drawings; prepare quantity and pricing take-offs of material and labor needed for job/order delivery, • Document all calculations and analysis used in estimates, • Work with Purchasing to secure material pricing and ensure material compliance, • Revise/requote documentation to reflect changes in plans and scope of work, • Obtain material approvals from municipal project owners, • Monitor overall sales results to evaluate ROI for orders delivered, • Understand customers business and technical requirements; establish relationships with direct decision-makers and their staff, • Work with internal Project Coordinator, Production, Purchasing and Technical staff to support pre- and post-production activities Qualifications • Bachelors Degree in Manufacturing, Construction Management, Accounting, Engineering or a related field, • 3+ years estimating or engineering experience in construction or manufacturing, • 2+ years successful experience in a business-to-business or business-to-government sales model, • Proficient knowledge of sales estimation and pricing strategies, • Ability to read and interpret specifications and trade drawings, • Expert knowledge Microsoft Excel and electronic file management, • Superb math skills, • Strong customer relationship management, • Ability to organize and utilize large amounts of data, • Ethical judgement and decision-making Company Description Intelligent Traffic Supply Products, LLC Intelligent Traffic Supply Products, LLC (ITSP) is the leading specialized provider for modernizing New Jersey's roadways. We don't just supply traffic equipmentwe engineer and deliver the precision components that form the backbone of Intelligent Transportation Systems (ITS) across the state. We specialize in the expert assembly and distribution of custom-built, high-specification traffic control solutions for a rapidly expanding base of municipal clients. Our comprehensive suite of products is crucial for building safer, smarter, and more efficient urban environments. It includes: Advanced Control Systems: Cubic ITS signal controllers and sophisticated system communications equipment. Infrastructure Components: Traffic signal assemblies, durable traffic poles, and assorted hardware and software. Detection & Safety: Cutting-edge pedestrian and vehicle detection technology, and complete pedestrian crosswalk systems. At ITSP, we are dedicated to building the future of New Jersey's traffic flow, one smart solution at a time. Company Description Intelligent Traffic Supply Products, LLC Intelligent Traffic Supply Products, LLC (ITSP) is the leading specialized provider for modernizing New Jersey's roadways. We don't just supply traffic equipmentwe engineer and deliver the precision components that form the backbone of Intelligent Transportation Systems (ITS) across the state. We specialize in the expert assembly and distribution of custom-built, high-specification traffic control solutions for a rapidly expanding base of municipal clients. Our comprehensive suite of products is crucial for building safer, smarter, and more efficient urban environments. It includes: Advanced Control Systems: Cubic ITS signal controllers and sophisticated system communications equipment. Infrastructure Components: Traffic signal assemblies, durable traffic poles, and assorted hardware and software. Detection & Safety: Cutting-edge pedestrian and vehicle detection technology, and complete pedestrian crosswalk systems. At ITSP, we are dedicated to building the future of New Jersey's traffic flow, one smart solution at a time.

Elevate your career at Marotta Controls, a New Jersey Top Workplace three years running! Dedicated to innovation, quality and excellence, we deliver cutting edge control systems for the Aerospace & Defense industry. At Marotta, we value bold thinking and teamwork, and we empower our employees to push boundaries while delivering top-tier solutions to our customers. Our team fosters a fun, collaborative culture where creativity and technical excellence thrive! Your next big opportunity starts here. Be part of a company where your work supports a mission that makes a difference-apply today! Staff Mechanical Designer Position Profile: The Staff Designer (CAD Designer) plays a crucial role in delivering exceptional computer-aided design and technical drawing support for innovative Space product research and development. This position involves creating cutting-edge designs for new products as well as enhancing our existing product lines. Working closely with design engineers, the designer confidently interprets industry design and drafting standards, military specifications, and internal company procedures to ensure top-quality results. Minimum Required Qualifications: • Associates degree, Mechanical engineering technology degree., • 6-10 years' experience working as a mechanical designer (CAD), • Experience with PTC Technology at least Creo 9.0 and Windchill 12.0. (certificates preferred), • Experience in mechanical design, material properties, fits and finishes, geometric tolerancing (GD&T) is required, • Strong PTC CREO CAD solid modeling experience and understanding of the Windchill change notice creation., • Strong verbal/written communication skills required for multi-faceted interactions with all levels of personnel within the organization, • Highly computer literate, with MS Office/PC expertise, and demonstrated experience with applicable systems, programs, equipment, etc., • Must be a US Citizen Essential or Primary / Key Responsibilities: • Prepare detailed 3D design layouts of complex parts and assemblies, including fits, finishes, tolerances and materials selection, as requested by the project engineer., • Prepare simple design layouts of parts and assemblies, including fits and tolerances as requested by the project engineer or higher level designers, • Prepare detailed manufacturing documentation of parts and assemblies in accordance with all company and industry standards, including a thorough tolerance stack-up to prove out design intent for fit and function., • Support the creation of a standard MCAD library of parts and features for re-use later to support the department's needs., • Maintain existing documentation through the preparation and incorporation of Engineering Change Notices., • Effectively interprets industry design and drafting standards, military specifications and company internal procedures, • Participate in selected PDR and CDR reviews to help present design parameters when required., • Detail checking of assemblies and drawings to company standards. Including redraws., • Must be knowledgeable in the practical application of Geometric tolerances (GTOL)., • Prepare fully annotated drawings of parts and assemblies from 3D Assembly models., • Responsible for utilizing existing Marotta hardware for new designs/redesigns. This would include detail searches using Marotta's business system and custom software., • Own projects from concept through production in an integrated and product development professional team environment., • Analyze designs and determine opportunities for design improvements., • Work with engineers to develop and evaluate the feasibility of designs., • Analyze and apply tolerances on parts in a way that satisfies the design needs while satisfying manufacturing and inspection.(GD&T certificates preferred), • Create as-built drawing package with a high level of efficiency and accuracy., • Performs basic engineering calculations, tolerance stack-ups, and determines the proper fits of moving and stationary parts Additional Duties / Responsibilities: • Conduct research as needed, • Bring initiatives and activities to closure in a timely manner through effective interaction with individuals, both internal and external to the Marotta organization (as required)., • Abide by all safety, quality, housekeeping and company policies/procedures to ensure compliance to all regulatory and internal system requirements., • Contribute to a positive and cooperative work environment through effective communication at all levels internal and external to the organization, • Actively participate in team meetings, improvement initiatives/programs, etc. and support actions to drive company initiatives/goals, • Assist in the training of personnel to perform required technical tasks (as directed), • Consistently demonstrate commitment to company values, • Keep management informed of area activities and of any significant problems. Physical Requirements: • While performing the duties of this job, the employee is regularly required to talk and hear, • The employee is frequently required to reach with hands and arms, and to use hands to finger, handle or feel, • The employee is regularly required to stand, sit, walk, stoop, or crouch, and move about the facility, • The employee may be required to lift and/or move items weighing up to 25 pounds Work Environment: • While performing the duties of this job, the employee is frequently exposed to conditions typical of a manufacturing/machine shop environment, including, but not limited to: fluids, fumes or airborne particles, moving mechanical parts, noise and vibration, • This job interacts both in a professional office environment and a manufacturing/machine shop environment. This role uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines, as well as environments inclusive of the appropriate eye, hearing and foot protection (as required)., • Temperature of work environment may be affected by outside/external temperatures, machining processes, etc., • Flexible Scheduling Options: Days and hours of work are either 10 hours/day (Monday - Thursday) or 9 hours/day (Monday through Thursday), 4 hours (Friday - Remote). Overtime and weekend could be required as job duties demand., • No travel is expected for this position This position is at our Parsippany NJ office location. Pay Range: $95,000 - $110,000 Many of our contracts require proof that you are a U.S. citizen and/or that an export license has been obtained for employees who are citizens of certain countries. Your employment, both initially and continually thereafter, is conditioned on production of such proof of citizenship and/or any export license that may be required to comply with any and all applicable laws, regulations, or executive orders, or required by Federal, State, or local government contracts. At Marotta Controls, we are committed to a fair, performance-driven compensation approach that promotes consistency across all levels of our organization. We ensure that pay decisions are free from bias, based on objective criteria, and are regularly reviewed. Your level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, experience, and internal consistency. Additionally, we offer a highly competitive compensation package for this opportunity, including incentive compensation and a comprehensive suite of premium benefits. These include medical, prescription, dental, vision, life, and disability insurance, a 401(k) plan with company match, tuition assistance, paid vacation, sick and personal days, paid holidays, and flexible scheduling options such as compressed workweeks. We value and reward employee achievements and host multiple engagement events each quarter to foster a strong, supportive workplace culture. If you are looking to grow or accelerate your career and be part of a best in class organization while enjoying a work-life balance, please visit our website at to learn more about us and to apply. Check out all of our openings at VETERANS ARE ENCOURAGED TO APPLY No agencies, please. Pay Range: $95,000 - $110,000 per year

Duties • You will be responsible for ensuring all technical activities related to the NSWCPD mission are conducted with sound engineering practices and with proper controls and management for surface ship, carrier, submarine and vehicle machinery systems., • You will serve as an advocate for NSWCPD engineering interests at PAEs, NAVSEA and across the Warfare Centers for all NSWCPD's project/product reviews to ensure alignment with technical authority., • You will be responsible for oversight and technical guidance for the management of the NSWCPD SUBSAFE Program as well as coordinate with the Quality Manager on assuring the quality of our technical products and engineering processes., • You will provide authoritative technical advice to NSWCPD Technical Director in addition to formulating and communicating Command technical priorities and strategies to include common approaches for risk assessment, analysis and reporting of status., • You will provide expert advice on strong science and technology background in ship and ship systems design technology and machinery system to Fleet Commander, Systems Commands, academia, and others., • You will serve as Technical Warrant Holder as the NSWC Philadelphia Waterfront CHENG, and participate in the Waterfront CHENG Community of Interest/Council of CHENGs representing NSWC Philadelphia.\nRequirements Conditions of employment • Must be a US Citizen., • Must be determined suitable for federal employment., • Must participate in the direct deposit pay program., • New employees to the Department of the Navy will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit e-verify.gov, • Within the Department of War (DoW), the appointment of retired military members within 180 days immediately following retirement date to a civilian position is subject to the provisions of 5 United States Code 3326., • Males born after 12-31-59 must be registered for Selective Service., • You will be required to complete ethics orientation within three months of appointment and submit a Confidential Financial Disclosure Report, OGE-450, within 30 days of appointment., • You will be required to obtain and maintain an interim and/or final security clearance prior to entrance on duty. Failure to obtain and maintain the required level of clearance may result in the withdrawal of a job offer or removal., • This position is covered under the Defense Acquisition Workforce Improvement Act (DAWIA). Certification in the Acquisition Functional Area and category assigned to the position is required within established category timeframes., • This position is a designated Critical Acquisition Position (CAP). You must sign a three-year tenure agreement prior to assuming the position unless a tenure waiver is approved., • Successful completion of a pre-employment drug test (including marijuana) is required. A tentative offer of employment will be rescinded if you fail to report to the drug test appointment or fail the test. You will be subject to random testing., • This position may require travel from normal duty station to CONUS and OCONUS and may include remote or isolated sites. You must be able to travel on military and commercial aircraft for extended periods of time., • Supervisors in the executive branch have a heightened personal responsibility for advancing government ethics. You will be required to review the 14 General Principles of Ethical Conduct at 5 CFR 2635.101.\nQualifications Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Candidates will not be hired based on their race, sex, color, religion, or national origin. To meet the minimum qualification requirements for this position, your resume must show that you possess the Technical Qualifications (TQ) related to this position - NOT TO EXCEED 2 PAGES. Resumes over the 2-page limit will be disqualified. Your resume should include examples of experience, education, and accomplishments applicable to the qualification(s). If your resume does not reflect demonstrated evidence of these qualifications, you may not receive consideration for the position. TECHNICAL QUALIFICATIONS (TQs): Your resume should demonstrate accomplishments that would satisfy the technical qualifications: TQ# 1: Ability to lead a team and coordinate, assess, and validate diverse technical efforts across the Warfare Centers in order to manage, guide and evaluate large, complex, significant and high visibility science. technology and engineering programs. TQ# 2: Ability to establish and maintain relationships with key individuals and organizations such as SYSCOM and PAE Engineering teams and program managers, the Engineering Technical Authority Support Network, and other high ranking, integrated organizations, including industry. Navigates Navy policies and procedures and possesses knowledge of technical capabilities across NSWCPD technical departments. Additional qualification information can be found from the following Office of Personnel Management website: AND Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. Education Applicants must meet the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: For 0801 Professional Engineering Series: A. Degree: Engineering. Successful completion of a bachelor's or higher engineering degree from an accredited college or university. To be acceptable, the program must: (1) lead to a bachelor's degree in a school of engineering with at least one program accredited by ABET ; or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics. Such education must demonstrate the knowledge, skills, and abilities necessary to do the work of the position. -or- B. Combination of education and experience -- college-level education, training, and/or technical experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying engineering, and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following: (I) Professional registration or licensure -- Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration. For example, an applicant who attains registration through a State Board's eminence provision as a manufacturing engineer typically would be rated eligible only for manufacturing engineering positions; or (II) Written Test -- Evidence of having successfully passed the Fundamentals of Engineering (FE) examination or any other written test required for professional registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico; or (III) Specified academic courses -- Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and that included the courses specified in the basic requirements under paragraph A. The courses must be fully acceptable toward meeting the requirements of an engineering program as described in paragraph A; or (IV) Related curriculum -- Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance. Ordinarily there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering-type experience, e.g., in interdisciplinary positions. (The above examples of related curricula are not all inclusive.) An advanced degree of Master's or Ph.D. in one of the educational fields listed above is highly desirable. Additional information Senior Scientific Technical Manager (SSTM) positions are positions which exceed the ND-05 (GS-15 equivalent). SSTMs provide a continuity of technical leadership and oversight that is needed to ensure long term stewardship of an organization's technical capabilities. Typically, applicants for SSTM positions are expected to have a graduate degree, significant research or development experience, and a national or international reputation in his/her field and are recognized throughout the applicable community as a renowned expert. SSTM positions are in the competitive service. This position is not covered by the Department of War Priority Placement Program. Additional vacancies may be filled by this announcement. A tentative offer of employment will be rescinded if the selectee fails to meet the pre-employment requirements, including failure to report to any of the scheduled appointments. Federal annuitant information: The selection of an annuitant is subject to the Department of War and Department of the Navy policy on the employment of annuitants. Policy information may be found at: There are three key documents that contain important information about your rights and obligations. Please read and retain these documents: • Noncriminal Justice Applicant's Privacy Rights, for those who undergo an FBI fingerprint-based criminal history record check for personnel vetting, which includes Rap Back,, • FD-258 Privacy Act Statement - FBI (this is the same statement used when your fingerprints are submitted as part of your background investigation), and, • SEAD-3-Reporting-U.pdf (dni.gov), (applicable to those who hold a sensitive position or have eligibility for access to classified information) Equal Employment Opportunity (EEO) Policy Statement: Employment Information Resources - Resource Center: Males born after 12-31-1959 must be registered or exempt from Selective Service (see )

Senior Lead AI Engineer,(MLX, Agentic AI, 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. McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 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 Distinguished AI Engineer 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 10 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 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 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 enterprise AI systems * Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP 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: $314,800 - $359,300 for Sr. Distinguished AI Engineer McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. 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).

Senior Lead AI Engineer (FM Hosting) 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: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Francisco, CA: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 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).

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 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 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).

Sr. 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: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 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).

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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 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).

Elevate your career at Marotta Controls, a New Jersey Top Workplace three years running! Dedicated to innovation, quality and excellence, we deliver cutting edge control systems for the Aerospace & Defense industry. At Marotta, we value bold thinking and teamwork, and we empower our employees to push boundaries while delivering top-tier solutions to our customers. Our team fosters a fun, collaborative culture where creativity and technical excellence thrive! Your next big opportunity starts here. Be part of a company where your work supports a mission that makes a difference-apply today! Staff Designer, MCAD Position Profile: The Staff Designer (CAD Designer) provides computer aided design and technical drawing support for new product research and development, including derivatives of our existing product lines under the direction of design engineers the designer shall be capable of interpreting industry design and drafting standards, military specifications and company internal procedures. Minimum Required Qualifications: • Associates degree, Mechanical engineering technology degree or Electrical technology degree, • 6-10 years' experience working as an electro-mechanical designer, • Experience with PTC Technology at least Creo 4.0 and Windchill 12.0, • Experience in mechanical design, material properties, fits and finishes, geometric tolerancing (GD&T) is required, • Strong PTC CREO CAD solid modeling experience and understanding of mechanical design principle, • Demonstrated strong knowledge of separating operations such as turning, milling, drilling, boring and tapping metallic and polymer materials, • Knowledge of fluid components, including sealing element designs, bearings and other mechanical elements, electro- mechanical packaging, PCB design, harness design a plus., • Strong verbal/written communication skills required for multi-faceted interactions with all levels of personnel within the organization, • Highly computer literate, with MS Office/PC expertise, and demonstrated experience with applicable systems, programs, equipment, etc., • Must be a US Citizen Essential or Primary / Key Responsibilities: • Prepare detailed 3D design layouts of complex parts and assemblies, including fits, finishes, tolerances and materials selection, as requested by the project engineer., • Prepare simple design layouts of parts and assemblies, including fits and tolerances as requested by the project engineer or higher level designers, • Prepare detailed manufacturing documentation of parts and assemblies in accordance with all company and industry standards, including a thorough tolerance stack-up to prove out design intent for fit and function., • Support the creation of a standard library of parts and features for re-use later to support the department's needs., • Maintain existing documentation through the preparation and incorporation of ECN's and AECN's, • Effectively interprets industry design and drafting standards, military specifications and company internal procedures, • Participate in selected PDR and CDR reviews to help present design parameters., • Must be capable of performing basic trigonometry and solid geometry calculations., • Detail checking of assemblies and drawings to company standards. Including redraws., • Must be knowledgeable in the practical application of Geometric tolerances (GTOL)., • Prepare fully annotated drawings of parts and assemblies from 3D Assembly models., • Responsible for utilizing existing Marotta hardware for new designs/redesigns. This would include detail searches using Marotta's business system and custom software., • Own projects from concept through production in an integrated and product development professional team environment, • Analyze designs and determine opportunities for design improvements., • Work with engineers to develop and evaluate the feasibility of designs., • Analyze and apply tolerances on parts in a way that satisfies the design needs while satisfying manufacturing and inspection.(GD&T certificates preferred), • Create as-built drawing package with a high level of efficiency, • Conduct research as needed, • Bring initiatives and activities to closure in a timely manner through effective interaction with individuals, both internal and external to the Marotta organization (as required)., • Abide by all safety, quality, housekeeping and company policies/procedures to ensure compliance to all regulatory and internal system requirements., • Contribute to a positive and cooperative work environment through effective communication at all levels internal and external to the organization, • Actively participate in team meetings, improvement initiatives/programs, etc. and support actions to drive company initiatives/goals, • Assist in the training of personnel to perform required technical tasks (as directed), • Consistently demonstrate commitment to company values, • While performing the duties of this job, the employee is regularly required to talk and hear, • The employee is frequently required to reach with hands and arms, and to use hands to finger, handle or feel, • The employee is regularly required to stand, sit, walk, stoop, or crouch, and move about the facility, • While performing the duties of this job, the employee is frequently exposed to conditions typical of a manufacturing/machine shop environment, including, but not limited to: fluids, fumes or airborne particles, moving mechanical parts, noise and vibration, • This job interacts both in a professional office environment and a manufacturing/machine shop environment. This role uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines, as well as environments inclusive of the appropriate eye, hearing and foot protection (as required)., • Temperature of work environment may be affected by outside/external temperatures, machining processes, etc., • Days and hours of work are 8 hours/day (Monday through Friday). Overtime and weekend could be required as job duties demand., • No travel is expected for this position We offer a highly competitive compensation package for this outstanding position plus a quarterly bonus along with a full range of top quality benefits and employee services including: medical, prescription, dental, vision, life and disability income insurance programs, 401k retirement plans with company match, generous tuition aid program, paid vacation, sick and personal days, paid holidays and flexible work hours with compressed work week options. We recognize and reward our employee's accomplishments and host several employee engagement events per quarter. This position is at our Parsippany, NJ office location. Many of our contracts require proof that you are a U.S. citizen and/or that an export license has been obtained for employees who are citizens of certain countries. Your employment, both initially and continually thereafter, is conditioned on production of such proof of citizenship and/or any export license that may be required to comply with any and all applicable laws, regulations, or executive orders, or required by Federal, State, or local government contracts. At Marotta Controls, we are committed to a fair, performance-driven compensation approach that promotes consistency across all levels of our organization. We ensure that pay decisions are free from bias, based on objective criteria, and are regularly reviewed. Your level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, experience, and internal consistency. Additionally, we offer a highly competitive compensation package for this opportunity, including incentive compensation and a comprehensive suite of premium benefits. These include medical, prescription, dental, vision, life, and disability insurance, a 401(k) plan with company match, tuition assistance, paid vacation, sick and personal days, paid holidays, and flexible scheduling options such as compressed workweeks. We value and reward employee achievements and host multiple engagement events each quarter to foster a strong, supportive workplace culture. If you are looking to grow or accelerate your career and be part of a best in class organization while enjoying a work-life balance, please visit our website at to learn more about us and to apply. Check out all of our openings at We are an Affirmative Action and Equal Opportunity employer M/F/IWD/Veterans VETERANS ARE ENCOURAGED TO APPLY No agencies, please. Pay Range: $95,000 - $110,000 per year

Summary You will serve as Chief Engineer providing authoritative technical advice across the NSWCPD TCs, NAVSEA HQ and PAE relative to design, integration, outfitting, operation, test and fielding of products, equipment, and systems delivered by NSWCPD. Learn more about this agency Summary You will serve as Chief Engineer providing authoritative technical advice across the NSWCPD TCs, NAVSEA HQ and PAE relative to design, integration, outfitting, operation, test and fielding of products, equipment, and systems delivered by NSWCPD. Learn more about this agency Overview Accepting applications Open & closing dates 04/21/2026 to 05/05/2026 Salary $187,477 - $209,600 per year Pay scale & grade ND 6 Location 1 vacancy in the following location: Naval Business Center, Philadelphia, PA Remote job No Telework eligible Yes-This position is eligible for ad-hoc/situational telework at the discretion of management. Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed Yes-Relocation incentives as described in 5 USC 5753 may be authorized in accordance with applicable regulations. PCS is not authorized. Appointment type Permanent Work schedule Full-time Service Competitive Promotion potential None Job family (Series) Trust determination process Announcement number ST-12939659-26-MCJ Control number 865908100 This job is open to Internal to an agency Current federal employees of the hiring agency that posted the job announcement. Land and base management Current or former employees of a base management agency. Veterans Veterans of the U.S. Armed Forces or a spouse, widow, widower or parent of a veteran, who may be eligible for derived preference Military spouses Military spouses of active duty service members or whose spouse is 100 percent disabled or died on active duty. Individuals with disabilities Individuals who are eligible under Schedule A. Clarification from the agency Current permanent employees of DON and VEOA eligibles. Duties • You will be responsible for ensuring all technical activities related to the NSWCPD mission are conducted with sound engineering practices and with proper controls and management for surface ship, carrier, submarine and vehicle machinery systems., • You will serve as an advocate for NSWCPD engineering interests at PAEs, NAVSEA and across the Warfare Centers for all NSWCPD's project/product reviews to ensure alignment with technical authority., • You will be responsible for oversight and technical guidance for the management of the NSWCPD SUBSAFE Program as well as coordinate with the Quality Manager on assuring the quality of our technical products and engineering processes., • You will provide authoritative technical advice to NSWCPD Technical Director in addition to formulating and communicating Command technical priorities and strategies to include common approaches for risk assessment, analysis and reporting of status., • You will provide expert advice on strong science and technology background in ship and ship systems design technology and machinery system to Fleet Commander, Systems Commands, academia, and others., • You will serve as Technical Warrant Holder as the NSWC Philadelphia Waterfront CHENG, and participate in the Waterfront CHENG Community of Interest/Council of CHENGs representing NSWC Philadelphia. Requirements Conditions of employment • Must be a US Citizen., • Must be determined suitable for federal employment., • Must participate in the direct deposit pay program., • New employees to the Department of the Navy will be required to successfully pass the E-Verify employment verification check. To learn more about E-Verify, including your rights and responsibilities, visit e-verify.gov, • Within the Department of War (DoW), the appointment of retired military members within 180 days immediately following retirement date to a civilian position is subject to the provisions of 5 United States Code 3326., • Males born after 12-31-59 must be registered for Selective Service., • You will be required to complete ethics orientation within three months of appointment and submit a Confidential Financial Disclosure Report, OGE-450, within 30 days of appointment., • You will be required to obtain and maintain an interim and/or final security clearance prior to entrance on duty. Failure to obtain and maintain the required level of clearance may result in the withdrawal of a job offer or removal., • This position is covered under the Defense Acquisition Workforce Improvement Act (DAWIA). Certification in the Acquisition Functional Area and category assigned to the position is required within established category timeframes., • This position is a designated Critical Acquisition Position (CAP). You must sign a three-year tenure agreement prior to assuming the position unless a tenure waiver is approved., • Successful completion of a pre-employment drug test (including marijuana) is required. A tentative offer of employment will be rescinded if you fail to report to the drug test appointment or fail the test. You will be subject to random testing., • This position may require travel from normal duty station to CONUS and OCONUS and may include remote or isolated sites. You must be able to travel on military and commercial aircraft for extended periods of time. Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution. Candidates will not be hired based on their race, sex, color, religion, or national origin. To meet the minimum qualification requirements for this position, your resume must show that you possess the Technical Qualifications (TQ) related to this position - NOT TO EXCEED 2 PAGES. Resumes over the 2-page limit will be disqualified. Your resume should include examples of experience, education, and accomplishments applicable to the qualification(s). If your resume does not reflect demonstrated evidence of these qualifications, you may not receive consideration for the position. TECHNICAL QUALIFICATIONS (TQs): Your resume should demonstrate accomplishments that would satisfy the technical qualifications: TQ# 1: Ability to lead a team and coordinate, assess, and validate diverse technical efforts across the Warfare Centers in order to manage, guide and evaluate large, complex, significant and high visibility science. technology and engineering programs. TQ# 2: Ability to establish and maintain relationships with key individuals and organizations such as SYSCOM and PAE Engineering teams and program managers, the Engineering Technical Authority Support Network, and other high ranking, integrated organizations, including industry. Navigates Navy policies and procedures and possesses knowledge of technical capabilities across NSWCPD technical departments. Additional qualification information can be found from the following Office of Personnel Management website: AND Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., professional, philanthropic, religious, spiritual, community, student, social). Volunteer work helps build critical competencies, knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. Education Applicants must meet the following positive education qualifications requirements of the Office of Personnel Management (OPM) Qualifications Standards Manual: For 0801 Professional Engineering Series: A. Degree: Engineering. Successful completion of a bachelor's or higher engineering degree from an accredited college or university. To be acceptable, the program must: (1) lead to a bachelor's degree in a school of engineering with at least one program accredited by ABET ; or (2) include differential and integral calculus and courses (more advanced than first-year physics and chemistry) in five of the following seven areas of engineering science or physics: (a) statics, dynamics; (b) strength of materials (stress-strain relationships); (c) fluid mechanics, hydraulics; (d) thermodynamics; (e) electrical fields and circuits; (f) nature and properties of materials (relating particle and aggregate structure to properties); and (g) any other comparable area of fundamental engineering science or physics, such as optics, heat transfer, soil mechanics, or electronics. Such education must demonstrate the knowledge, skills, and abilities necessary to do the work of the position. -or- B. Combination of education and experience -- college-level education, training, and/or technical experience that furnished (1) a thorough knowledge of the physical and mathematical sciences underlying engineering, and (2) a good understanding, both theoretical and practical, of the engineering sciences and techniques and their applications to one of the branches of engineering. The adequacy of such background must be demonstrated by one of the following: (I) Professional registration or licensure -- Current registration as an Engineer Intern (EI), Engineer in Training (EIT), or licensure as a Professional Engineer (PE) by any State, the District of Columbia, Guam, or Puerto Rico. Absent other means of qualifying under this standard, those applicants who achieved such registration by means other than written test (e.g., State grandfather or eminence provisions) are eligible only for positions that are within or closely related to the specialty field of their registration. For example, an applicant who attains registration through a State Board's eminence provision as a manufacturing engineer typically would be rated eligible only for manufacturing engineering positions; or (II) Written Test -- Evidence of having successfully passed the Fundamentals of Engineering (FE) examination or any other written test required for professional registration by an engineering licensure board in the various States, the District of Columbia, Guam, and Puerto Rico; or (III) Specified academic courses -- Successful completion of at least 60 semester hours of courses in the physical, mathematical, and engineering sciences and that included the courses specified in the basic requirements under paragraph A. The courses must be fully acceptable toward meeting the requirements of an engineering program as described in paragraph A; or (IV) Related curriculum -- Successful completion of a curriculum leading to a bachelor's degree in an appropriate scientific field, e.g., engineering technology, physics, chemistry, architecture, computer science, mathematics, hydrology, or geology, may be accepted in lieu of a bachelor's degree in engineering, provided the applicant has had at least 1 year of professional engineering experience acquired under professional engineering supervision and guidance. Ordinarily there should be either an established plan of intensive training to develop professional engineering competence, or several years of prior professional engineering-type experience, e.g., in interdisciplinary positions. (The above examples of related curricula are not all inclusive.) An advanced degree of Master's or Ph.D. in one of the educational fields listed above is highly desirable. Additional information Senior Scientific Technical Manager (SSTM) positions are positions which exceed the ND-05 (GS-15 equivalent). SSTMs provide a continuity of technical leadership and oversight that is needed to ensure long term stewardship of an organization's technical capabilities. Typically, applicants for SSTM positions are expected to have a graduate degree, significant research or development experience, and a national or international reputation in his/her field and are recognized throughout the applicable community as a renowned expert. SSTM positions are in the competitive service. This position is not covered by the Department of War Priority Placement Program. Additional vacancies may be filled by this announcement. A tentative offer of employment will be rescinded if the selectee fails to meet the pre-employment requirements, including failure to report to any of the scheduled appointments. Federal annuitant information: The selection of an annuitant is subject to the Department of War and Department of the Navy policy on the employment of annuitants. Policy information may be found at: There are three key documents that contain important information about your rights and obligations. Please read and retain these documents: • Noncriminal Justice Applicant's Privacy Rights, for those who undergo an FBI fingerprint-based criminal history record check for personnel vetting, which includes Rap Back,, • FD-258 Privacy Act Statement - FBI (this is the same statement used when your fingerprints are submitted as part of your background investigation), and, • SEAD-3-Reporting-U.pdf (dni.gov), (applicable to those who hold a sensitive position or have eligibility for access to classified information) Equal Employment Opportunity (EEO) Policy Statement: ...

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: $229,900 - $262,400 for Sr. Lead AI Engineer Cambridge, MA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 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).

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. Sales Territory: $179,400 - $204,700 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer Cambridge, MA: $197,300 - $225,100 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 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 (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration) 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: $197,300 - $225,100 for Lead AI Engineer McLean, VA: $197,300 - $225,100 for Lead AI Engineer New York, NY: $215,200 - $245,600 for Lead AI Engineer San Francisco, CA: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 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 (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 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. New York, NY: $215,200 - $245,600 for Lead AI Engineer San Jose, CA: $215,200 - $245,600 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).

Web Developer III Location: New York, NY Contract Duration: 6 months on W2 with possibility for extension/conversion Pay Rate: $70/hr Benefits: Dental, Health, Vision, PTO Job Overview Were looking for an experienced software engineer with a strong background in building web applications and deep proficiency in Python. In this role, youll help develop the next generation of computer-use agents by expanding anapp simulation pipeline used for training and evaluation. Youll work on a core product: an app simulator for AI agents (OpenApps ecosystem),a system designed to mimic real-world software environments where AI agents can learn and operate. This role sits at the intersection of product engineering and AI research, contributing directly to frontier advancements in AI systems. What Youll Do: • Scale and evolve our app simulation framework used to train computer-use agents, • Design and build applications that simulate real-world user environments, • Partner with researchers to translate experimental ideas into functional systems, • Contribute to the infrastructure powering next-generation AI agents Youll join a team focused on pushing the boundaries of secure, reliable, and scalable AI agents. This is a new initiative centered on advancing computer-use capabilities through high-fidelity simulation. Success in this role is measured by your ability to deliver impactful features that expand the capabilities of the research environment. Must-Have Skills • 57 years of software engineering experience, • Python, • Web Development (Python backend), • Familiarity or interest in AI research, • Experience working in scrappy, fast-moving environments, • Exposure to end-to-end application development Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness, meet client expectations, standards, and accompanying requirements, and safeguard business operations and company reputation. #TMN

Senior Lead AI Engineer (Gen AI Platform Services, 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: $229,900 - $262,400 for Sr. Lead AI Engineer McLean, VA: $229,900 - $262,400 for Sr. Lead AI Engineer New York, NY: $250,800 - $286,200 for Sr. Lead AI Engineer San Jose, CA: $250,800 - $286,200 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).