Lead Machine Learning Engineer (Manager IC)

Capital One Financial

Quick summary

Work type: On-site
Location: McLean, VACambridge, MARichmond, VA
Salary: $197,300–$225,100 / yr
Posted: 8 days ago
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $223k

This role $211k

$171k most similar roles pay here $272k

This role pays less than 55% of similar roles. Most pay $197,193–$249,750 — the shaded band above. At the midpoint, this role pays about $211k versus about $223k 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 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead Machine Learning Engineer (Manager IC)

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As a Lead Machine Learning Engineer at Capital One’s Risk Tech division, you will join an innovative team focused on transforming risk management through cutting-edge AI technologies. Your role involves collaborating with cross-functional teams to develop and deploy advanced AI solutions that enhance customer value and operational efficiency. Day-to-day responsibilities include designing and implementing machine learning models, conducting model evaluation and experimentation, and leveraging large language models for similarity search and guardrails. You will also contribute to the long-term technical vision of pioneering AI systems at Capital One, ensuring robust ML infrastructure decisions are made using a deep understanding of modeling techniques. Ideal candidates possess extensive experience in developing scalable AI/ML solutions on public clouds like AWS Bedrock or Google Cloud, along with proficiency in Python and Retrieval Augmented Generation (RAG) technologies.

Skills

Python AWS Google Cloud Azure Machine Learning Retrieval Augmented Generation RAG CI/CD Agile Open Source SaaS ML Infrastructure Model Evaluation Large Language Model Inference Similarity Search Guardrails Observability Kubernetes Docker

What you'll do

Design and develop AI software components using machine learning models.
Test, deploy, and support proprietary solutions for risk management powered by AI.
Fine-tune and evaluate machine learning and foundation models continuously.
Contribute to the long-term technical vision of pioneering AI systems at Capital One.
Collaborate with cross-functional teams to deliver innovative AI-powered products.

What we're looking for

7+ years of experience designing and delivering AI services at scale.
Deep technical expertise in developing AI/ML algorithms using Python.
Experience with Retrieval Augmented Generation (RAG) technologies.
Proven ability to deploy scalable AI/ML solutions on public clouds like AWS, Google Cloud, or Azure.
Strong communication skills for explaining complex technical concepts to non-technical stakeholders.
Passionate about staying current with the latest AI research and applying novel techniques in production.

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