This role pays less than
52%
of similar roles. Most pay
$195,000–$249,750
— the shaded band above.
At the midpoint, this role pays about
$211k
versus about
$222k
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
800 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 795 roles with salary data.
As a Lead Machine Learning Engineer at Capital One's Risk Tech team, you will work closely with cross-functional teams including data scientists and product managers to develop AI-powered solutions that enhance risk management and customer experience. Your day-to-day responsibilities include designing, testing, deploying, and supporting machine learning components, fine-tuning models, and collaborating on the long-term technical vision for AI systems. You will leverage a broad stack of open-source and SaaS technologies while ensuring your ML infrastructure decisions are informed by deep understanding of modeling techniques. Ideal candidates possess extensive experience in Python, Scala, or Java, building scalable ML systems, and deploying solutions in public clouds like AWS Bedrock, Google Cloud, or Azure. This role demands strategic thinking aligned with business needs, technical maturity, and a collaborative mindset to drive impactful AI innovations at scale.