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  1. Home
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  5. Senior Lead AI Engineer (LLM Customization and Finetuning)
Capital One logo

Senior Lead AI Engineer (LLM Customization and Finetuning)

Not Disclosed•Full-TimeOn-site

location_onNYU Paulson Center, 181, Mercer Street, University Village, Manhattan, New York County, New York, 10012, United States

Apply Now

About the Team

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. The Intelligent Foundations and Experiences (IFX) team sits at the center of bringing this vision to life. We work hand-in-hand with partners across the company to advance the state of the art in science and AI engineering, building and deploying 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.

About the Role

You will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses. 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 be expected to 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. As a resilient trailblazer, you will forge new paths to achieve business goals when the route is unknown, contributing to the technical vision and long-term roadmap of foundational AI systems at Capital One.

Hiring Process

Capital One is committed to a fair and transparent 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 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 will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws. We are committed to building world-class applied science and engineering teams to deliver industry-leading capabilities with breakthrough product experiences.

Work location

On-site

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Skills, education and keywords

Skills: Machine Learning, Python, Go, Scala, Java, Aws, Google Cloud, Azure, Huggingface, Vector DBS.

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.

Frequently asked questions about Senior Lead AI Engineer (LLM Customization and Finetuning) at Capital One

What does a Senior Lead AI Engineer (LLM Customization and Finetuning) at Capital One do?expand_more
Day-to-day, the Senior Lead AI Engineer (LLM Customization and Finetuning) at Capital One will 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 ultraclusters, huggingface, vectordbs, and pytorch.
What are the requirements for this Senior Lead AI Engineer (LLM Customization and Finetuning) role?expand_more
To qualify for the Senior Lead AI Engineer (LLM Customization and Finetuning) at Capital One position, applicants should have: Bachelor's degree in CS, AI, EE, or related field plus 6 years AI/ML experience; Master's degree in CS, AI, EE, or related field plus 4 years AI/ML experience; 6+ years experience with Python, Go, Scala, or Java; 7 years experience deploying scalable AI on cloud platforms (AWS, GCP, Azure); Experience with LLM Inference, VectorDBs, Guardrails, Memory; and Experience optimizing training/inference for hardware utilization, latency, throughput, cost.
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Work model:
location_on

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 Ultraclusters, Huggingface, VectorDBs, and PyTorch
  • check_circleImplement model evaluation, experimentation, governance, and observability for production AI systems
  • check_circleContribute to the technical vision and long-term roadmap of foundational AI systems

Requirements

  • verifiedBachelor's degree in CS, AI, EE, or related field plus 6 years AI/ML experience
  • verifiedMaster's degree in CS, AI, EE, or related field plus 4 years AI/ML experience
  • verified6+ years experience with Python, Go, Scala, or Java
  • verified7 years experience deploying scalable AI on cloud platforms (AWS, GCP, Azure)
  • verifiedExperience with LLM Inference, VectorDBs, Guardrails, Memory
  • verifiedExperience optimizing training/inference for hardware utilization, latency, throughput, cost

Nice to Have

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.

Benefits & Perks

check_circleEligible to earn performance based incentive compensation including cash bonuses and/or long term incentives
Capital One logo
Company

Capital One

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

6+ yrs (Lead)

Education

Bachelor's degree in CS, AI, EE, CE, or related fields with 6+ years experience

Job Type

Full-Time

Skills Required

Machine LearningPythonGoScalaJavaAws
$230k-286karrow_forward
Where is the Senior Lead AI Engineer (LLM Customization and Finetuning) role at Capital One located?expand_more
Senior Lead AI Engineer (LLM Customization and Finetuning) 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 Senior Lead AI Engineer (LLM Customization and Finetuning) job remote, hybrid, or on-site?expand_more
Capital One has listed this Senior Lead AI Engineer (LLM Customization and Finetuning) role as on-site.
How much experience is required for this Senior Lead AI Engineer (LLM Customization and Finetuning) role?expand_more
Senior Lead AI Engineer (LLM Customization and Finetuning) at Capital One typically requires 6+ years of relevant experience at the lead level.
What skills do you need for the Senior Lead AI Engineer (LLM Customization and Finetuning) role at Capital One?expand_more
Key skills for Senior Lead AI Engineer (LLM Customization and Finetuning) at Capital One include Machine Learning; Python; Go; Scala; Java; Aws; Google Cloud; and Azure.
What education is required for Senior Lead AI Engineer (LLM Customization and Finetuning) at Capital One?expand_more
Educational requirements for this role: Bachelor's degree in CS, AI, EE, CE, or related fields with 6+ years experience; and Master's degree in CS, AI, EE, CE, or related fields with 4+ years experience.
What category does the Senior Lead AI Engineer (LLM Customization and Finetuning) role belong to?expand_more
Senior Lead AI Engineer (LLM Customization and Finetuning) at Capital One is part of the it job category on Recrutus.
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