Lead AI Engineer
Not Disclosed•Full-TimeOn-site
location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States
About Capital One and AI
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 building world-class applied science and engineering teams to deliver industry-leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. 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.
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 team builds and deploys 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.
The Role and Culture
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. You will be a resilient trailblazer, forging new paths to achieve business goals when the route is unknown.
We are looking for individuals who love to build systems, take pride in the quality of their work, and share our passion to do the right thing. You will adapt quickly and 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 staying abreast of the latest research to judiciously apply novel techniques in production.
Hiring Process and Application
This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
If you require an accommodation to apply for a position or need assistance during the recruiting 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 and Commitment
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 will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
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_circlePartner with cross-functional teams to deliver AI-powered products
- check_circleDesign, develop, test, deploy, and support AI software components
- check_circleDevelop similarity search, guardrails, model evaluation, and observability systems
- check_circleInvent and introduce state-of-the-art LLM optimization techniques
- check_circleImprove scalability, cost, latency, and throughput of production AI systems
- check_circleImplement foundation model training and large language model inference
- check_circleContribute to the technical vision and long-term roadmap of foundational AI systems
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)
- verifiedWillingness to accept employment authorization sponsorship
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 applying novel techniques in production.
Benefits & Perks
check_circleEligible for performance-based incentive compensation including cash bonuses and/or long-term incentivescheck_circleComprehensive, competitive, and inclusive set of health, financial, and other benefits
Similar Job Opportunities
Skills, education and keywords
Skills: Machine Learning, Ai, Python, Go, Scala, Java, C++, Golang, Aws.
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 at Capital One
What does a Lead AI Engineer at Capital One do?expand_more
Day-to-day, the Lead AI Engineer at Capital One will partner with cross-functional teams to deliver ai-powered products; design, develop, test, deploy, and support ai software components; develop similarity search, guardrails, model evaluation, and observability systems; and invent and introduce state-of-the-art llm optimization techniques.
What are the requirements for this Lead AI Engineer role?expand_more
To qualify for the Lead AI Engineer at Capital One position, applicants should have: 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 role at Capital One located?expand_more
Lead AI Engineer 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 job remote, hybrid, or on-site?expand_more
Capital One has listed this Lead AI Engineer role as on-site.
How much experience is required for this Lead AI Engineer role?expand_more
Lead AI Engineer at Capital One typically requires 4+ years of relevant experience at the lead level.
What skills do you need for the Lead AI Engineer role at Capital One?expand_more
Key skills for Lead AI Engineer at Capital One include Machine Learning; Ai; Python; Go; Scala; Java; C++; and Golang.
What education is required for Lead AI Engineer 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 role belong to?expand_more
Lead AI Engineer at Capital One is part of the it job category on Recrutus.