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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

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 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

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.

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).

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).

Sr. Lead AI Engineer Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Sales Territory: $209,000 - $238,500 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 At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years of experience developing AI and ML algorithms or technologies * At least 4 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, delivering, and supporting AI services * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $193,400 - $220,700 for Lead AI Engineer McLean, VA: $193,400 - $220,700 for Lead AI Engineer New York, NY: $211,000 - $240,800 for Lead AI Engineer San Francisco, CA: $211,000 - $240,800 for Lead AI Engineer San Jose, CA: $211,000 - $240,800 for Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (MLX) 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).

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) Overview: At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies * At least 6 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience designing, developing, integrating, delivering, and supporting complex AI systems * Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Cambridge, MA: $225,400 - $257,200 for Sr. Lead AI Engineer McLean, VA: $225,400 - $257,200 for Sr. Lead AI Engineer New York, NY: $245,900 - $280,600 for Sr. Lead AI Engineer San Francisco, CA: $245,900 - $280,600 for Sr. Lead AI Engineer San Jose, CA: $245,900 - $280,600 for Sr. Lead AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead AI Engineer (MLX, Agentic AI, Gen AI platform Services) 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).

Senior 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 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).

Title: Senior Transportation Engineer Department: Civil & Environmental Engineering Reports To: Department Chair, Civil and Environmental Engineering Position Type: Staff Position Summary: Under the supervision of the Chair of the Department of Civil and Environmental Engineering, the Senior Transportation Engineer works with faculty and other research staff on complex transportation planning analysis tasks related to sponsored research projects, focusing on transportation data development and analysis, use of regional travel demand, traffic and simulation models, and ITS engineering. Under the direction of the Department Chair and Principal Investigators on research projects, the Senior Transportation Engineer participates in a variety of research activities, including performing technical analysis work, preparing documentation, assisting with technology transfer activities, and participating in communication with clients. Duties also include needs assessment, implementation and support for research tasks to which the incumbent is assigned. Essential Functions: • Manages one or more tasks for sponsored research projects. The incumbent will focus on areas of transportation modeling and systems analysis, traffic engineering, ITS, and transit systems operations. The incumbent will utilize and apply travel demand modeling, traffic engineering and simulation, GIS, and other transportation and mathematical modeling and analysis software., • Keeps up with the state-of-the-practice in transportation modeling, traffic engineering and operations, and ITS, including innovations in related software tools. Implements this knowledge in research activities. (55%), • Performs (as assigned) literature review, problem identification, data collection and analysis, analysis of solutions, and development of recommendations., • Works with faculty, research staff, and students on preparing technical scopes of work for research projects, and assists the Principal Investigators with developing project schedules., • Assists faculty and other researchers with managing all aspects of the technical work in the areas of transportation modeling and systems analysis, traffic engineering and ITS, including the scheduling and assignment of work tasks. (30%), • Prepares technical memoranda and progress reports summarizing the results of the technical work. The incumbent will also be responsible for preparing sections of the Final Report documents related to the work tasks performed as part of research projects, including printed and electronic data and reports for submission and presentation to research clients. The Senior Transportation Engineer will attend meetings as necessary with NJIT faculty and staff, as well as meetings with research clients., • In coordination with faculty prepares and sends for publication research reports and papers related to conducted research. (10%) Additional Functions: • Assists faculty with graduate student guidance and mentoring by providing expertise and advice in the areas of transportation modeling, engineering, ITS, and data analysis. (5%), • Performs other related duties as assigned by the Chair of the Department of Civil and Environmental Engineering or Principal Investigators on research projects. Prerequisite Qualifications: • Master's degree in Transportation, Urban Planning, or a related field., • Three years related experience in the computer based transportation modeling, simulation, and systems analysis., • Working knowledge of regional and local transportation planning and engineering practices in New Jersey, as well as basic transportation engineering theory and practices nationwide., • Working experience in computer based traffic analysis, preferable using Synchro., • Working experience in computer-based transportation modeling (Cube, TransCAD, or VISUM) and simulation (Paramics, VISSIM, or CORSIM)., • Must have a strong computer background, including high-level proficiency with Microsoft Windows and Office software, including Word, Excel, Power Point, Access, and Visio., • Knowledge and working experience using data analysis tools such as New Jersey Congestion Management System (NJCMS), New Jersey Accident Record Database (NJARD), and Census Transportation Planning Package (CTPP)., • Must have excellent oral and written communication skills, • At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position Preferred Qualifications: -Experience with ITS engineering and systems analysis is preferred. Bargaining Unit: PSA Salary Information: In compliance with the NJ Pay Transparency Law, the negotiated annual salary range for this position is $63,129.05-$113,324.04 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. To learn more about the comprehensive benefits NJIT offers for this position, please visit our benefits page . Range/Band: 22 FLSA: Exempt Full-Time Apply NowShare Save Job

The Department of Biomedical Engineering - Prof. Elham Azizi's Lab, is looking for a Staff Associate III to: Functional Knowledge (35%) - Develop advanced probabilistic and causal generative frameworks linking molecular to clinical data; design interpretable representation spaces for tumor-immune dynamics and therapy response. Technical Expertise (25%) - Engineer LLM and diffusion/flow-matching pipelines; integrate multi-GPU distributed training, experiment tracking, and MLOps automation. Problem-Solving Skills (15%) - Innovate adaptive fine-tuning, multi-task learning, and agentic reasoning strategies to improve generalization and data efficiency. Decision Making/Autonomy (10%) - Lead architectural and data design decisions; prioritize experiments aligned with program milestones; evaluate trade-offs between model accuracy and interpretability. Communication Skills (10%) - Present findings at internal symposia and external conferences; co-author manuscripts; write high-quality documentation and technical reports. Mentorship/Leadership (5%) - Mentor junior engineers and research assistants; provide guidance on causal inference methods and AI-in-loop experimentation. B.S./B.E. (minimum) in Computer Science, Biomedical/Electrical Engineering, Statistics, Bioinformatics, Applied Math, or related field. MS or PhD degree is preferred but not required. Required qualifications • Substantial expertise in training deep learning models and tuning large foundation models., • Expertise with developing efficient data loaders for large datasets and optimizing training workflows., • Deep knowledge of probabilistic modelling, self-supervised learning and representation learning, diffusion/VAE/flow matching architectures, • Strong Python, PyTorch/JAX, containerization & MLOps skills; familiarity with distributed training and modern experiment-tracking stacks, • Experience with AI coding tools (e.g., Copilot, Cursor) Preferred extras • M.S. or graduate-level degree in relevant field, • Experience with single-cell and spatial genomic or imaging data, and multimodal integration, • Expertise in statistical causal discovery and inference, • Publications or open-source contributions in generative models, • Strong interest in applications and driving impact in cancer biology and immunology 6+ years of experience in software engineering including: 3+ yrs hands-on experience training generative AI or large-language models at scale 2+ years experience with statistical or generative modeling Columbia University is an Equal Opportunity Employer / Disability / Veteran Pay Transparency Disclosure The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.

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.

• Job Type: Support Staff - Union, • Bargaining Unit: TWU - B&G, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 40, • Standard Work Schedule: Sunday - Thursday, 2:00pm -10:30pm, • Building: Manhattanville The Head Service is a leadership position in the Facilities Operations department providing high quality and effective work in the maintenance and repair of Columbia University - Manhattanville Campus (CUMVC) equipment, services, and systems. Independently; operate, inspect/round, maintain, and repair equipment and machinery in good workmanlike manner while maintaining a high level of safety, reliability, efficiency, and cost effectiveness. Responsibilities • Ensure the efficient and effective use of staff, facilities, materials, and equipment., • Determine the needs of the customer and respond as necessary in accordance with policy and procedure., • Determine priorities and allocate work to all staff including Maintenance Workers and Apprentices., • Monitor work progress and pursue as necessary., • Advise on best methods or repair and maintenance, and operations., • Ensure all work is carried out to completion and within a realistic time frame., • Communicate with external agencies when necessary to organize and schedule repair work., • Ensure the work areas are maintained as per governing agencies and to CUMVC standards., • Organize and maintain proper preventive maintenance of machinery to prevent premature failure., • Communicate daily with appropriate supervisors of work progress and concerns., • Advanced troubleshooting of equipment and systems., • Work with management to develop and prepare work estimates (time and materials required on specific work tasks)., • When necessary, ensure that the Service Level Agreements are adhered to and proper time and materials are tracked., • Work with management to track, schedule and/or coordinate staff time-off., • Coordinate all time including overtime to ensure appropriate coverage., • May be responsible for Apprentices and Maintenance Workers in association to all said items above., • High School Diploma and/or the equivalent., • One (1) year internal experience as a Service Mechanic - Level 3; or external equivalent of nine (9) years of experience as an HVAC or refrigeration mechanic., • Possess strong leadership skill, • Three (3) years internal experience as a Service Mechanic - Level 2; or external equivalent of eight (8) years of experience as an HVAC or refrigeration mechanic., • Must be a quick learner and exhibit self-motivational skills., • Adequate ability to discern colors for monitoring alarm conditions., • Strong team mentality (ability to work with others)., • Well refined interpersonal skills with the ability to communicate with all levels of staff, customers, clients, students, vendors, and management., • How to read and interpret SDS information., • Understanding of general vivarium, and laboratory rules and restrictions., • How to identify a fire rated barrier and properly install fire-stopping materials., • Must be able to work all shifts as assigned., • Proficient in the fundamentals of maintenance and repair of building systems., • Proficient in troubleshooting of equipment and systems., • How to properly use, install, and inspect fire stopping materials., • Knowledgeable on how to safely operate and interpret a volt ohm meter, and troubleshoot basic electronics., • How to properly utilize lock out-tag out procedures for all energy sources (electrical, thermal, hydraulic, hydronic)., • How to operate and interpret air flow instruments, including but not limited to capture hoods, manometers, and anemometers., • How to properly and safely operate all hand tools, power tools, equipment utilized by facilities maintenance and repair., • Maintain, troubleshoot, and repair refrigeration equipment including condensing units up to 50 tons., • Maintain, troubleshoot, and repair hermetic, semi-hermetic, reciprocating, and scroll chillers under 50 horsepower., • How to properly test and document the operation of a steam trap., • How to perform more advanced sheet metal work such as installing fire/smoke and fire dampers., • Ability and knowledge on how to remove, repair, and install large cooling and heating coils., • Ability to discuss the refrigeration cycle including operation and troubleshooting of its components., • Hold and maintain Certificate of Fitness for Fire Guard (F-60), • Hold and maintain Certificate of Fitness for Using Powder Activated Tools (E-21), • Hold and maintain Certificate of Fitness for Torch Operations (G-60), • Hold and maintain Certificate of Fitness To Operate and Maintain Air Compressors (A-35), • Hold and maintain Certificate of Fitness for City Wide Sprinkler Systems (S-12), • Hold and maintain Certificate of Fitness for City Wide Standpipe Systems (S-13), • Hold and maintain Certificate of Fitness for Standpipe for Multi-Zone Systems (S-14), • Hold and maintain Certificate of Fitness for Supervision of Bulk Oil Plants (P-12), • Hold and maintain Certificate of Fitness for Supervise Fuel-Oil Piping and Storage in Buildings (P-98), • Hold and maintain Certificate of Fitness for Handling, Use, and Storage of Flammable Compressed Gases (G-98), • Responsible for obtaining and maintaining other applicable NYC Certificates of Fitness as required by the FDNY and/or other authorities having jurisdiction., • Hold and maintain PBS (Petroleum Bulk Storage) Class B Operator, • Hold and maintain OSHA 10 Certification, • Hold and maintain EPA 608 Universal Technician Certification, • Hold and maintain two (2) of the NATE Service Specialty certifications listed below, or equivalent certification accepted by CUMVC Management, • Air Conditioning Service, • Air Distribution Service, • Heat Pump (Air to Air) Service, • Must be capable of performing fire brigade duties as assigned., • Knowledge of and/or Training on the following:, • General OSHA standards and requirements., • Use of portable fire extinguisher., • Hazardous waste awareness., • Asbestos hazards and safety., • Computerized Maintenance Management Systems (work order management system), • Confined space entry procedures., • Lock-out/Tag-out procedures., • Description and use of fire stopping materials., • Communication etiquette including phone, radio, and customer service., • Hot work permits., • Must demonstrate knowledge of all CUMVC's safety policies and procedures. Preferred Qualifications The physical and environmental demands described here are representative of those that must be met by an employee to successfully perform the essential responsibilities and functions of the job and are not meant to be all-inclusive. • Use strength to lift and transport items needed to perform the functions of the job, with the ability to lift 50 pounds independently and support team lift with reasonable accommodations., • Sit, stand, bend, kneel, crouch, and squat for prolonged periods of time and/or repeatedly over a required period of time., • Reach with and work with hands and arms overhead., • May work in an environment where a variety of pathogens, chemical substances, and gases are used for research., • Ability to work while wearing a full-face respirator., • Required to be Tuberculosis (TB) negative, submit to periodic TB testing, and a chest x-ray if a positive TB test is read. Equal Opportunity Employer / Disability / Veteran Columbia University is committed to the hiring of qualified local residents.

At EBI we're committed to providing deep technical, industry and commercial real estate expertise to help our clients navigate complexity and realize maximum value for their assets. For 35 years we've been helping investors, lenders, owners, developers, contractors, and property managers mitigate risk and optimize their built facilities for maximum economic, safety, and environmental value. We're unique in our ability to deliver high quality, responsive services across the entire asset lifecycle, from rapid assessments, to advisory, to implementation and verification services, nationwide. Unlike other environmental consulting firms, we provide the full suite of commercial real estate and asset management services through to improvement and verification. Our experts leverage our proprietary assessment methodologies, benchmarking, regulation, and analytics tools across six core domains. EBI is your environmental, sustainability, engineering and health and safety partner, nationwide. Assess. Advise. Improve. Verify. Position Summary EBI is seeking a full-time Senior Project Assessor to conduct Acquisition Property Condition Reports (APCR). APCRs are specialized assessments and deliver a significantly higher standard than a traditional ASTM-level report. APCRs provide real estate investors with actionable information that drives the best investment decisions and customized, relevant solutions based on solid comprehension of the property condition. Our consulting requires greater collaboration between our specialist team and our clients, defining and executing a scope of work unique to the project needs. The successful candidate will perform field assessments of various real estate property types, conduct interviews of onsite representatives, and independent research of local, state, and federal resources. Reporting may also include specialized evaluation of structural systems, roofing, MEP, facade, and other building components. A background/concentration in structural engineering is preferred for this role. This position reports directly to the Senior Program Manager and will be a remote, work from home position. The majority of clients this position will support will be located in or around the New England Region (more so Boston and New York City), so candidates will need to already be established in these markets. This is a field-based position, with upwards of 50% local and regional travel expected. Candidates must have previous experience with travel and be comfortable with this model to be considered. Essential Duties and Responsibilities • Conduct site reconnaissance for a wide variety of real estate property types; including but not limited to office, retail, multifamily, hospitality, and industrial, • Prepare deliverables with quality supporting documentation (site figures, appendices), • Assessment reporting will address the current condition of significant building and site components (i.e., foundations, framing, roof, facade, HVAC, etc.), evaluate effective useful life of key components, and address the need and timing of replacement and/or repair, • Travel on short notice (one week or less) will be required at times, • This position will be a remote location based from a home office Qualifications and Capabilities • Bachelor's degree from accredited college or university in architecture, engineering, construction, or related field (Bachelor's Degree in Structural Engineering or related focus and a Master's Degree is preferred but not required), • Significant professional experience in engineering/structural engineering and due diligence consulting and/or seven or more years in architecture, construction, facilities management, or other real estate consulting service, • This position requires technical writing responsibilities and direct interactions with clients. The successful candidate must possess excellent written and verbal communications skills., • Professional Engineer (PE) or Registered Architect (RA) certification is preferred, however, not required, • Specialized expertise in significant building components such as structural systems, roofing, facades, and/or mechanical systems is desirable, • Valid drivers license and registered vehicle required, • Proficient in Excel, Word, and Outlook, and knowledge of Quire (report writing platform) Application Disclaimer At EBI, we cultivate a welcoming and collaborative culture. We are proud to be an Equal Employment Opportunity employer and encourage diverse candidates to apply. We do not discriminate against qualified individuals based on their status as a protected veteran or individuals with disabilities, nor do we discriminate based on sex, race, color, religion, national origin, age, marital status, gender identity, gender expression, or sexual orientation. All vendors are expected to maintain a working environment free from discrimination or harassment. The reasonable estimate of the salary range for this position is $85,000 - $130,000. The salary range describes the minimum to maximum base salary range for this position across applicable US locations. This position may also be eligible for a bonus whereby total compensation may exceed base salary depending on individual performance. The actual compensation offered will be based on a range of factors that are considered in making compensation decisions including, but not limited to; geographic location, work experience, education, licensure requirements, knowledge, skills/level, qualifications and budget. #LI- New England Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the ___ notice from the Department of Labor.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: The Associate Applied AI Engineer supports the development, deployment, and maintenance of artificial intelligence applications for the Columbia University Irving Medical Center (CUIMC). This role contributes to the design and implementation of AI-enabled solutions that support administrative, research, clinical, and educational operations across the institution. Working closely with senior engineers and cross-functional teams, the Junior Engineer assists in building applications that leverage large language models (LLMs), retrieval-augmented generation (RAG), automation frameworks, and machine learning techniques. This role focuses on implementing AI solutions, supporting application deployment, and ensuring systems operate securely, efficiently, and in alignment with institutional policies and governance standards. Responsibilities Essential Duties: AI Development and Implementation • Design, develop, and maintain AI-enabled applications utilizing retrieval-augmented generation (RAG) techniques to enhance knowledge discovery, automate workflows, and support decision-making across CUIMC operations., • Build scalable AI tools and services that integrate with ___CUIMC administrative, clinical, research, and educational systems., • Develop rapid proof-of-concept prototypes to evaluate ___new technologies and demonstrate solution feasibility to stakeholders., • Troubleshoot AI applications and assist with diagnosing and resolving technical or performance issues in development or production environments., • Monitor emerging developments in artificial intelligence, machine learning frameworks, and generative AI technologies relevant to healthcare and higher education., • Prototype solutions using open-source tools and AI platforms present demonstrations or findings to internal stakeholders., • Support the design and deployment of AI solutions that prioritize privacy, transparency, security, and ethical use of data., • Adhere to CUIMC policies related to data governance, compliance, and institutional review requirements., • Partner with engineers, analysts, data scientists, and institutional stakeholders to design and implement AI-enabled solutions., • Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Statistics, or equivalent combination of education and experience., • Minimum 4 years of professional experience in software engineering, artificial intelligence, machine learning, data engineering, or ___a related technical field., • Experience with at least one programming language commonly used for AI or application development (e.g., Python, JavaScript, TypeScript, Java, or C#)., • Experience developing, testing, and maintaining software applications, data pipelines, or AI-enabled solutions., • Strong analytical and problem-solving skills with the ability to translate technical concepts into practical solutions., • Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Statistics, or ___a related discipline., • Experience developing applications that leverage large language models (LLMs), generative AI tools, or retrieval-augmented generation (RAG)., • Familiarity with AI development frameworks or orchestration tools such as LangChain, LlamaIndex, or similar technologies., • Experience deploying applications or machine learning workflows in cloud environments such as AWS, Google Cloud Platform, or Microsoft Azure., • Exposure to AI platforms such as Amazon Bedrock, Google Vertex AI, or Azure AI Studio., • Experience working with natural language processing (NLP), data extraction, or analytics involving structured and unstructured data. Columbia University is committed to the hiring of qualified local residents.

• Job Type: Officer of Administration, • Bargaining Unit:, • Regular/Temporary: Regular, • End Date if Temporary:, • Hours Per Week: 35, • Standard Work Schedule:, • Building: Morningside The Assistant Director of Graduate Academic Advising supports the academic success and overall experience of Columbia Engineering graduate students. The role enhances advising capacity across master's and doctoral programs, with added emphasis on master's level support. It focuses on providing academic policy guidance, supporting partnership and dual-degree programs, and coordinating responses to student concerns. In addition to advising master's students, the position contributes to selected doctoral processes and assists with routine doctoral student-related inquiries. The Assistant Director works closely with departments and campus partners to ensure students receive consistent information, timely assistance, and a clear path toward degree completion. Responsibilities Graduate Student Advising (50%): Advises graduate students, with an emphasis on MS students, on various aspects of their studies, including school-level degree requirements, academic policies, and procedures. Meets with students individually, responds to their inquiries, and connects them to resources as appropriate. Advises students interested in or enrolled in the school's various MS specializations, such as the Advanced Master's Research specialization. Supports student advising needs for partnership and dual-degree programs, coordinating requirements, documentation, and routine communications with students. Coordinates onboarding and support for incoming partnership and dual-degree program students, including orientation materials and transition guidance. Serves as an advisor for designated Columbia Engineering MS programs, including but not limited to MBAxMS and the MS in AI program. Tracks and provides guidance to students on curriculum requirements, registration issues, and academic planning. Refers students to their respective faculty advisors and Career Placement Officers to address electives, career-related questions, and other issues. Serves as a liaison with Columbia Engineering departments in supporting all aspects of student affairs to ensure student success. Assists with escalated student cases from Columbia Engineering departments on complex academic policy issues, providing high-touch support and case management. Collaborates with other schools, offices, and departments (GSAS, ISSO, Registrar, Health Services, Student Financial Services, and Columbia Residential) on student cases as needed. Maintains a very high level of knowledge of school academic policies and procedures. Attends, assists, and presents at new-student orientation, relevant school-level or program-specific meetings and events, and other events throughout the year. Tracks, assesses, and reports on student data. Identifies students who are not meeting satisfactory academic progress. Recognizes and advises on trends in advising cohorts. Graduate Student Affairs (30%): Assists in monitoring and tracking MS and doctoral students' degree progress, registration status, academic standing, and changes in status. Identifies students who are not meeting satisfactory academic progress. Provides support and coordinates with department student affairs officers on academic plans for students who require monitoring or intervention. Identifies trends on a larger scale and works to address them through school policy and at the program level. Serves on the Engineering Student Affairs graduate student on-call team, providing crisis intervention for graduate students experiencing difficulty. Responsible for engaging with the student/s and then connecting the student to the appropriate resources for further engagement. Assists with responding to urgent situations. Supports key onboarding, orientation, and professional development programs for doctoral students, including Engineer Your PhD (EYP), Three Minute Thesis (3MT), and PhD Connect. Partners with other Engineering Student Affairs teams, including Student Life and Professional Development and Leadership (PDL) teams, to innovate programming to meet evolving student needs. Assists with partnership and dual-degree program student recruitment efforts, such as but not limited to open house events and yield programming. Liaises with admitted students to address admissions, academics, and registration inquiries. Graduate Academic Affairs (15%): Reviews graduation clearances for MS and MPhil degree levels. Maintains advising resources, program guides, and communication templates for both MS and doctoral audiences. Supports departmental outreach by sending reminders about upcoming deadlines, policy changes, and required actions. Additional duties as assigned (5%) Minimum Qualifications • A bachelor's degree and or its equivalent., • A minimum of 2-3 years of related experience is required., • Understand student and academic affairs opportunities and challenges affecting constituents, comprising a diverse population, both domestic and international., • Ability to represent the Program and School professionally at events., • Demonstrated ability to take initiative and work independently, accepting responsibility and accountability for assignments, within a team environment., • Ability to balance multiple tasks with competing deadlines, demonstrated ability to pay strict attention to detail, and exercise discretion in handling confidential information., • Experience working in a team environment, and the ability to work independently., • The ability to interpret and apply standards and the ability to communicate complex policies and procedures to students, faculty, staff, and other stakeholders., • Strong technical competency is required; demonstrate an understanding and appreciation of student services database software and online resources, and the willingness and enthusiasm to respond to students' needs in an increasingly technologically dynamic society., • Proficiency with Google suite of products, MS Office (Excel with pivot tables, vlookup), PowerPoint, publishing software, social media, etc., • Ability to analyze and work with a large volume of student, course, and other types of data., • Must be willing to work on occasional evenings and weekends, on a needed basis, especially when on-call and student crises arise., • Possess excellent interpersonal and administrative skills., • Ability to work independently and under pressure, with a high level of attention to detail., • Candidate must exercise good judgment and flexibility., • Must be able to prioritize multiple tasks with minimal supervision., • Must be able to communicate effectively and tactfully with staff, faculty, students, employers, and alumni in small and large group settings., • Must be able to exercise good judgment, diplomacy, and flexibility, with a student-wellness mindset., • Graduate-level work is preferred., • Knowledge of advising and counseling techniques., • Knowledge of University-specific computer application programs and pertinent databases. Columbia University is committed to the hiring of qualified local residents.

Title: AI Engineer Agent (Hourly) Department: Biomedical Engineering Reports To: Associate Professor Position Type: Staff Position Summary: The candidate will integrate into our AIM (AI+Imaging+Medicine) lab team to conduct research in the field of artificial intelligence in biomedicine and also provide necessary support for other research projects. The focus will be agentic AI research and related technical development in biomedical field, including brain tumor, traumatic brain injury and others. Essential Functions: -The candidate will work on large language model, agentic AI and other AI models and develop applications to biomedical projects. Prerequisite Qualifications: -MS degree in computer science or related field, ideally both MS and BS are in the related field. -Proven record of applying AI technologies in biomedicine. -Being able to integrate into our existing lab team to conduct research. -Excellent communication skills. -At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Salary Information: In compliance with the NJ Pay Transparency Law, the hourly rate for this position is $35.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Non-Exempt Part-Time Apply NowShare Save Job

Job Description 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 D'Angelo, Larry Summers, and Jack Dorsey. Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50–$70/hour Location: Remote Commitment: 30–40 hours/week Role Responsibilities • Review real-world data from deployed networks, including logs, configs, telemetry, and event streams., • Label and classify key behaviors, issues, and anomalies in network data., • Help define schemas and structure for large-scale data pipelines., • Interface directly with the client team to ensure data quality and relevance. Must-Have • Experience working as a network engineer, ideally with enterprise networks (switches, APs, firewalls, etc.)., • Comfort with interpreting logs, events, and time-series metrics., • Upload resume, • AI interview based on your resume

Job DescriptionSalary: $40,000 - $60,000 Premier Managed IT Service Company that delivers IT products and services to small businesses in the United States is looking to add an experienced, on-site Help Desk Engineer in New York for one of our clients. This position will provide growth opportunities to other senior technical client-facing roles of our firm and requires a proactive, hard-working individual with a can-do attitude and the ability to wear multiple hats in a fast-paced environment. We are looking for the best and brightest to join our growing team. We demand people who: • Care about our clients, • Are passionate about what they do, • Are team players, and willing to help other team members, • Believe in doing things right the first time, • Are dedicated to continual improvement, • Embody positivity Everyday Duties • Respond to incoming calls and e-mails regarding information technology problems, using help desk software., • Perform hands-on fixes at the desktop level, including installing and upgrading software, installing hardware, and configuring systems and applications, • Perform basic network administration tasks, such as setting up new user accounts and granting access to network resources., • Communicate with third-party support and PC equipment vendors., • Identify and learn appropriate software and hardware used and supported by the organization., • Provide superior service and customer support, • Diagnose and perform on-site installations, repairs, maintenance, and tasks Qualifications • Previous help desk experience, • Good interpersonal skills, with a focus on rapport-building, listening, and questioning skills, • Highly self-motivated and directed, • Ability to effectively prioritize and execute tasks, • Experience with Windows desktop and server operating systems, including Windows 2016-2022 and Windows 10 - Windows 11, • Experience with Mac OS X Configuration and troubleshooting, • Knowledge of Microsoft Active Directory, • Knowledge of computer hardware, • Good understanding of the organization's goals and objectives, • Experience working in a team-oriented, collaborative environment, • Ability to absorb and retain information quickly, • Ability to present ideas in user-friendly language, • Proven analytical and problem-solving abilities, • Customer service orientation, • Ability to conduct research into a wide range of computing issues as required Education Requirements: Bachelor's degree Preferred Certification Requirements: • A +, • Network +, • Microsoft certifications a plus Job Type: Full-time/ On-Site Salary + Benefits: • $40,000.00 - 60,000.00 /year Some of Our Benefits include • Paid Time Off (PTO), • Access to 401K with match, • Subsidized individual & family health, dental, and vision insurance plans, • Ongoing company-funded professional development & education allowances, • Much more! Must Complete the company Assessment to be considered for hire: #ZR

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated IT Systems Support Engineer to be based at our New Jersey headquarters. As our second IT hire, you will be a key bridge between hands-on user support and deep-tier systems engineering, reporting directly to and collaborating closely with Thea Energy’s Director - IT across all things infrastructure, security, and support. This is a high-impact, high-ownership role for someone who enjoys building robust systems from the ground up. You'll ensure our scientists, engineers, and executives have a frictionless path to the tools they need - with a leading role in shaping how the Company’s digital foundation is built.Key Responsibility Areas:This role spans both strategic and operational IT, from supporting our scientists and engineers day-to-day to building the systems and automation that scale with the Company. • Own day-to-day IT operations as a primary point of contact for user support, while continuously building and improving the underlying infrastructure., • Design and deploy automated workflows to ensure smooth employee onboarding, offboarding, and lifecycle transitions., • Manage physical and virtual server environments, ensuring high availability, consistent patching, and strong security practices., • Optimize cloud environments, manage identity and access, and maintain a strong security posture across the organization., • Maintain office and lab network infrastructure - including VPNs, firewalls, switches, and Wi-Fi - ensuring reliable, low-latency connectivity., • Build and maintain a thorough knowledge base: clear documentation and infrastructure diagrams that the whole team can rely on., • Manage hardware and software lifecycles, including inventory, procurement, and vendor relationships., • Administer and maintain our MDM environment: managing device enrollment, compliance policies, and configuration profiles across Windows and macOS., • Implement and uphold security best practices to protect mission-critical intellectual property and research data., • Proactively identify and reduce technical debt through automation and process improvement.Ideal Experience & Skillsets:, • 5+ years of experience in systems engineering and desktop support across Windows and macOS., • Proficiency in PowerShell, Python, or similar scripting/automation tools., • Experience managing network infrastructure, including firewalls, switches, and access points., • Hands-on experience with at least one major cloud platform (Azure, GCP, AWS, or Google Workspace/O365)., • Experience with modern IT ticketing systems (e.g., ServiceNow, Zendesk, Freshdesk) and structured support workflows., • Strong documentation skills - able to translate complex systems into clear diagrams and written guides., • Excellent communication skills - comfortable explaining technical issues to both engineers and non-technical stakeholders., • A collaborative, low-ego approach: equally comfortable supporting a user with a hardware issue and leading a server migration., • Ability to thrive in a fast-moving, high-growth environment where priorities can shift quickly., • Experience across multiple cloud platforms (Azure, GCP, AWS, Google Workspace/O365)., • Background working in a startup, research, or scientific/engineering environment., • Familiarity with compliance frameworks or security standards (SOC 2, NIST, etc.)., • Experience with email security platforms (e.g. Barracuda, Proofpoint, Mimecast)., • Familiarity with Security Awareness Training tools (e.g. NINJIO, KnowBe4, Proofpoint).Company Benefits:, • Salary range $85,000-$145,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options