Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)

Capital One Financial

Actively hiring Posted this week Verified listing
McLean, VA · Cambridge, MA · Richmond, VA · New York, NY Posted 2 days ago $229,900–$262,400 / year
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99+ other roles within 25 mi Near McLean, VA

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $215k
This role $246k
$161k most similar roles pay here $273k

This role pays more than 75% of similar roles. Most pay $183,543–$246,706 — the shaded band above. At the midpoint, this role pays about $246k versus about $215k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 573 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 569 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR

As a Senior Lead Machine Learning Engineer on the Intelligent Foundations and Experiences team, you will lead cross-functional pods to build AI/ML capabilities for Credit and Financial Risk Management products. Your role involves designing and delivering AI-powered solutions that address real-world business challenges through model experimentation, LLM inference, similarity search, and agentic AI. You will collaborate closely with data scientists and engineers to develop scalable AI products that enhance associate performance and deliver superior customer value. The position requires expertise in Python, Scala, or Java, along with experience deploying ML systems on public clouds like AWS Bedrock, Google Cloud, or Azure. Ideal candidates have a Master's degree in Computer Science, AI, Electrical Engineering, or related fields, with extensive experience building and scaling ML solutions at large scale.

Skills

Python Scala Java AWS Google Cloud Azure Retrieval Augmented Generation RAG Distributed Computing Machine Learning AI Services Public Cloud CI/CD Git Jenkins Kubernetes Terraform PostgreSQL MongoDB

What you'll do

  • Lead teams of engineers in developing AI/ML capabilities for financial risk management products.
  • Design and deliver AI-powered solutions using model experimentation, LLM inference, and similarity search.
  • Build scalable ML systems using a broad stack of open-source and SaaS technologies.
  • Optimize associate performance through the development of AI-enabled tools and platforms.
  • Stay current with latest ML research to apply novel techniques in production environments.

What we're looking for

  • At least 8 years of experience designing and building data-intensive solutions using distributed computing.
  • At least 3 years of experience in building, scaling, and optimizing ML systems.
  • 2+ years of experience leading teams developing ML solutions.
  • Master's Degree in Computer Science, AI, Electrical Engineering, or a related field.
  • 6+ years of experience designing, developing, delivering, and supporting AI services at scale.
  • Experience with Python for developing AI and ML algorithms.
  • Experience deploying scalable AI/ML solutions on public clouds like AWS Bedrock.

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