Lead AI Engineer (AI Foundations)
Not Disclosed•Full-TimeOn-site
location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
About the Mission
At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, we have been an industry leader in using machine learning to create real-time, personalized customer experiences. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
About the Team
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 partners across the company to advance the state of the art in science and AI engineering. 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.
About the Role
In this role, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses. 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.
You will be a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown. You will thrive on bringing clarity to big, undefined problems, digging deep to uncover root causes, and articulating findings with clarity. You will have the courage to share new ideas even when they are unproven, while taking pride in the quality of your work and sharing our passion to do the right thing.
Hiring Process
Capital One is committed to a fair and inclusive recruiting process. If you require an accommodation during the application or interview process, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information provided will be kept confidential and used only to the extent required to provide needed reasonable accommodations.
Equal Opportunity
Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. We promote a drug-free workplace and consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws. We are committed to building a diverse and inclusive workforce where everyone can do their best work.
Work location
Work model: On-site
NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
New York, New York
Key Responsibilities
- check_circleDesign, develop, test, deploy, and support AI software components including foundation model training and LLM inference
- check_circlePartner with cross-functional teams to deliver AI-powered products that enhance customer and associate experiences
- check_circleInvent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput
- check_circleLeverage Open Source and SaaS AI technologies such as AWS, Huggingface, VectorDBs, and PyTorch
- check_circleContribute to the technical vision and long-term roadmap of foundational AI systems
- check_circleImplement AI governance, model evaluation, experimentation, and observability frameworks
Requirements
- verifiedBachelor's degree in CS, AI, EE, or related fields plus 4 years AI/ML experience
- verifiedMaster's degree in CS, AI, EE, or related fields plus 2 years AI/ML experience
- verified4+ years experience programming with Python, Go, Scala, or Java
- verified6 years experience deploying scalable AI solutions on cloud platforms (preferred)
- verifiedExperience designing and supporting AI services (preferred)
- verifiedExperience developing AI/ML algorithms using Python, C++, C#, Java, or Golang (preferred)
- verifiedExperience optimizing training and inference software (preferred)
Nice to Have
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.
Benefits & Perks
check_circleEligible to earn performance-based incentive compensation including cash bonuses and/or long-term incentives
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Skills, education and keywords
Skills: Machine Learning, Ai, Aws, Huggingface, Vectordbs, Nemo Guardrails, Pytorch, LLM Optimization, Python, Go.
Education: Bachelor's degree in CS, AI, EE, CE, or related fields with 4+ years experience; Master's degree in CS, AI, EE, CE, or related fields with 2+ years experience.
Frequently asked questions about Lead AI Engineer (AI Foundations) at Capital One
What does a Lead AI Engineer (AI Foundations) at Capital One do?expand_more
A Lead AI Engineer (AI Foundations) at Capital One is responsible for the following: Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference; Partner with cross-functional teams to deliver AI-powered products that enhance customer and associate experiences; Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput; and Leverage Open Source and SaaS AI technologies such as AWS, Huggingface, VectorDBs, and PyTorch.
What are the requirements for this Lead AI Engineer (AI Foundations) role?expand_more
Capital One is looking for candidates who meet the following requirements: Bachelor's degree in CS, AI, EE, or related fields plus 4 years AI/ML experience; Master's degree in CS, AI, EE, or related fields plus 2 years AI/ML experience; 4+ years experience programming with Python, Go, Scala, or Java; 6 years experience deploying scalable AI solutions on cloud platforms (preferred); Experience designing and supporting AI services (preferred); and Experience developing AI/ML algorithms using Python, C++, C#, Java, or Golang (preferred).
Where is the Lead AI Engineer (AI Foundations) role at Capital One located?expand_more
Lead AI Engineer (AI Foundations) at Capital One is based in NYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States. This is a on-site role.
Is this Lead AI Engineer (AI Foundations) job remote, hybrid, or on-site?expand_more
Capital One has listed this Lead AI Engineer (AI Foundations) role as on-site.
How much experience is required for this Lead AI Engineer (AI Foundations) role?expand_more
Lead AI Engineer (AI Foundations) at Capital One typically requires 4+ years of relevant experience at the lead level.
What skills do you need for the Lead AI Engineer (AI Foundations) role at Capital One?expand_more
Key skills for Lead AI Engineer (AI Foundations) at Capital One include Machine Learning; Ai; Aws; Huggingface; Vectordbs; Nemo Guardrails; Pytorch; and LLM Optimization.
What education is required for Lead AI Engineer (AI Foundations) at Capital One?expand_more
Educational requirements for this role: Bachelor's degree in CS, AI, EE, CE, or related fields with 4+ years experience; and Master's degree in CS, AI, EE, CE, or related fields with 2+ years experience.
What category does the Lead AI Engineer (AI Foundations) role belong to?expand_more
Lead AI Engineer (AI Foundations) at Capital One is part of the it job category on Recrutus.