Sr. 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
At Capital One, we are creating responsible and reliable AI systems to change 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.
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.
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 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.
You will invent and introduce state-of-the-art LLM optimization techniques to improve the performance, scalability, cost, latency, and throughput of large-scale production AI systems. Additionally, you will contribute to the technical vision and the long-term roadmap of foundational AI systems at Capital One.
You love to build systems, take pride in the quality of your work, and share our passion to do the right thing. You want to work on problems that will help change banking for good. You have a passion for staying abreast of the latest research and an ability to intuitively understand scientific publications, judiciously applying 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, articulating your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. You are deeply technical, possessing a strong foundation in engineering and mathematics, with expertise in hardware, software, and AI that enables you to see and exploit optimization opportunities that others miss. You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.
Capital One is committed to a fair and inclusive hiring process. We consider qualified applicants regardless of background. 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.
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 Financial is made up of several different entities, with positions posted in specific regions (e.g., Canada, United Kingdom, Philippines) belonging to the respective local entities.
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
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 applying novel techniques in production. Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.
Skills: Machine Learning, Ai, Python, Go, Scala, Java, C++, Golang, Aws.
Education: Bachelor's degree in CS, AI, EE, CE, or related fields with 6+ years experience; Master's degree in CS, AI, EE, CE, or related fields with 4+ years experience.