Machine Learning Engineering Director

US Bank

Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, ILHopkins, MNMinneapolis, MNCupertino, CACharlotte, NC
Salary
$159,970–$188,200 / yr
Posted
2 days ago
Closes
Jun 26, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $224k
This role $174k
$147k most similar roles pay here $278k

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

About US Bank

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.

Most-posted roles

View all roles at US Bank

At a glance

TL;DR · Machine Learning Engineering Director

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.

What you'll do

  • Lead the vision and architecture for enterprise-level AI platforms on Azure and AWS.
  • Develop engineering managers and senior engineers while establishing governance models.
  • Ensure alignment with security, data privacy, compliance, and Responsible AI practices.
  • Drive cross-functional collaboration to enable secure and scalable AI adoption.
  • Maintain strong awareness of team delivery issues and provide technical oversight.

What we're looking for

  • 10+ years of experience in software engineering or platform engineering.
  • Minimum 5 years managing engineering teams with oversight of managers and senior staff.
  • Proven experience designing and delivering large-scale distributed systems and cloud-native platforms.
  • Working knowledge of AI/ML concepts, including LLMs and RAG architectures.
  • Familiarity with MLOps practices, CI/CD for models, monitoring, and lifecycle management.
  • Experience implementing enterprise-grade security, compliance, and data governance frameworks.
  • Demonstrated ability to influence senior technology and business leadership.

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