Sr. Lead Machine Learning Engineer
Capital One Financial
Quick summary
Market check
How this pay compares to similar roles
This role pays less than 84% of similar roles. Most pay $197,925–$249,750 — the shaded band above. At the midpoint, this role pays about $174k versus about $224k for comparable roles.
Based on 240 similar postings.
Employer
U.S. Bank (U.S. Bancorp) is the fifth-largest bank in the United States, providing retail banking, corporate and commercial banking, wealth management, and payment services to millions of customers. Industry: Banking & Financial Services
US Bank currently has 34 open roles on FindRole.
Listed pay typically runs $119,765–$140,900 across 34 roles with salary data.
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At a glance
The Machine Learning Engineering Director at U.S. Bank leads the strategic development and delivery of enterprise-level AI platforms across various use cases, overseeing a team of engineers to ensure secure, scalable, and high-performing solutions on Azure and AWS. This role involves setting technical vision, managing engineering managers, and establishing governance models while driving cross-functional collaboration with product, risk, security, and business stakeholders. Key responsibilities include designing cloud-native platforms, ensuring compliance with enterprise standards for data privacy and Responsible AI practices, and maintaining operational rigor through Agile methodologies and Jira management. The ideal candidate has over 10 years of software engineering experience, including at least five in managing engineering teams, with expertise in large-scale distributed systems, MLOps, and implementing security frameworks in highly regulated industries like financial services.
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