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Lead Machine Learning Engineer

Capital One

$211,000 - $240,800
Dec 16, 2025
New York, NY, US
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Capital One's Digital Commerce & Innovation organization is seeking a Lead Machine Learning Engineer to reimagine concierge services for the digital age by leveraging AI and emerging technologies. The goal is to enhance customer experience through innovative products and services, such as Velocity Black, which combines AI, human experts, and mobile interfaces to deliver personalized and exclusive services.

Requirements

  • You are deeply technical. You possess a strong foundation in engineering, and your passion for consumer technology and AI enables you to identify and act on user experience optimization opportunities that others miss.
  • You are familiar with Large Language Models (LLMs) and AI integration optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems
  • You have experience integrating solutions into a complex web service & mobile application ecosystem
  • Emphasis on building maintainable, well-tested and resilient solutions.
  • Passion for staying abreast of the latest research, and an ability to intuitively understand highly technical publications and judiciously apply novel techniques in production.

Responsibilities

  • Design, build and deliver meaningful consumer products powered by the latest technology with a focus on applied AI for web and mobile
  • Need to wear the ‘Product hat’ with deep empathy for the customer
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to evolve how our customers interact with Capital One
  • Work within and across teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies
  • Lead the craftsmanship, availability, resilience, and scalability of your solutions

Other

  • Bachelor’s Degree
  • At least 6 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
  • At least 4 years of experience programming with Python, Scala, or Java
  • At least 2 years of experience building, scaling, and optimizing ML systems
  • Capital One will not sponsor a new applicant for employment authorization for this position