Senior Lead Machine Learning Engineer (Intelligent Foundations and Experiences)

Capital One Financial

Actively hiring Verified listing
McLean, VA · Cambridge, MA · Richmond, VA · New York, NY Posted 10 days ago $229,900$262,400 / year

At a glance

AI generated

TL;DR

As a Senior Lead Machine Learning Engineer in the Intelligent Foundations and Experiences team, you will lead dedicated pods of engineers to build AI/ML capabilities for Credit and Financial Risk Management products. Your day-to-day responsibilities include designing and delivering AI-powered solutions that solve real-world business problems through model experimentation, LLM inference, similarity search, and agentic AI. You will collaborate with cross-functional teams to develop and scale these products, enhancing associate performance and customer value. The role requires expertise in Python, Scala, or Java, along with experience in deploying scalable ML solutions on public clouds like AWS Bedrock, Google Cloud, or Azure. Additionally, you must stay current with the latest ML research and have a strong background in building and optimizing ML systems at scale.

Skills

Python Scala Java AWS Google Cloud Azure RAG CI/CD Docker Kubernetes Terraform PostgreSQL Redis Elasticsearch Prometheus Grafana Git Jenkins GitHub Swagger RESTful APIs OpenAPI Specification

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 and LLM inference.
  • Scale AI-powered products to optimize associate performance and enhance customer value.
  • Mentor team members on core technologies and best practices in machine learning.
  • Stay current with the latest ML research and apply novel techniques in production.
  • Deploy scalable AI/ML solutions in public cloud environments like AWS Bedrock.

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 in public clouds like AWS Bedrock.

Market check

Salary context

This $229,900–$262,400 range sits above 79% of similar postings on FindRole.

Peer median band

$175,950$261,300

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$183,306$246,150

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 489 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 483 roles with salary data.

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View all roles at Capital One Financial

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