$269,000 — $373,000 USD/yr

Director, Machine Learning Engineering

United StatesUnited States·San Franciscoexecutive
Machine LearningData & AI
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Quick Summary

Overview

About the role Chime's Data Science & Machine Learning team powers decisions across the company, from how we protect members to how we build products for them.

Technical Tools
Machine LearningData & AI

About the Role

~1 min read

Chime's Data Science & Machine Learning team powers decisions across the company, from how we protect members to how we build products for them. We're looking for a Director to lead that team through its biggest shift yet: moving from traditional models to a modern, AI-driven approach built on transformers and foundation models. You'll lead managers and staff-level engineers, define what great ML looks like at Chime's scale, and rebuild the practice around it. If you want to shape the future of ML at a company where it directly affects members' financial lives, this is the role.

  • Lead and grow Chime's ML organization, managing managers and staff-level engineers across all of Chime's ML work.
  • Set the vision and roadmap for moving Chime's models from traditional approaches to transformer- and foundation-model-based systems.
  • Coach your managers to build strong, high-performing teams, and raise the technical bar across the practice.
  • Shape the architecture of Chime's ML platform, including how we train, fine-tune, serve and scale models on a modern GPU-based stack.
  • Define what good ML looks like at Chime: standards for model development, evaluation, deployment and monitoring.
  • Partner with product, engineering, risk and business leaders to turn ML into measurable impact for members.
  • Make the call on when to build, buy or fine-tune, and explain the trade-offs clearly to executives.
  • Deep machine learning expertise, with a well-formed point of view on transformer and foundation models and where they do (and don't) beat traditional approaches.
  • Familiarity with GPUs and the modern ML stack, from training and fine-tuning to serving models in production at scale.
  • Experience managing managers and staff-level ICs, with the technical credibility to earn their trust.
  • A track record of building or transforming an ML practice: hiring, setting standards and growing leaders.
  • Experience setting a multi-year ML strategy and turning it into shipped results.
  • Clear communication with executives and cross-functional partners; you can make complex ML trade-offs easy to follow.
  • Bonus: experience applying ML in fintech or another regulated industry.

#LI-Onsite #LI-DA1

Below is the base salary offered for this role and level of experience. Full-time employees may also be eligible for bonus(es), competitive equity, and benefits. For commissioned roles, the base salary listed in this job description does not include incentive/variable pay. The actual base salary offered may be higher, depending on your location, skills, qualifications, and experience.

Wage Notice
$269,000—$373,000 USD

At Chime, we believe that everyone can achieve financial progress. We created Chime—a financial technology company, not a bank*—on the premise that core banking services should be helpful, easy, and free. Through our user-friendly tools and intuitive platforms, we empower our members to take control of their finances and work towards their goals. Whether it's starting a savings account, purchasing a first car or home, launching a business, or pursuing higher education, we're proud to have helped millions unlock their financial potential.

We're a team of problem solvers, dreamers, and builders with one shared obsession: our members. From day one, Chimers have worked tirelessly to out-hustle and out-execute competitors to bring our mission to life. Their grit and determination inspire us to work harder every day to deliver the very best experience possible. We each bring an owner's mindset to our work, refusing to be outdone and holding ourselves accountable to meet and exceed the highest bars for our teams, our company, and our members.

We believe in being bold, dreaming big, and taking risks, while also working together, embracing our diverse perspectives, and giving each other honest feedback. Our culture remains deeply entrepreneurial, encouraging every Chimer to see themselves as stewards of our mission to help everyday Americans unlock their financial progress. 

We know that to achieve our mission, we must earn and keep people's trust—so we hold ourselves to the highest standards of integrity in everything we do. These aren't just words on a wall—our values are embedded in every aspect of our business, serving as a north star that guides us as we work to help millions achieve their financial potential.

Because if we don't—who will?

*Chime is a financial technology company, not a bank. Banking services provided by The Bancorp Bank, N.A. or Stride Bank, N.A., Members FDIC.

What We Offer

~2 min read
✓🏢 Our in-office work policy is designed to keep you connected - with four days a week in the office and Fridays from home for those near one of our offices, plus team and company-wide events depending on location.
✓💻 Benefits that support your work and life, including backup child, elder, and pet care and subsidized commuter benefits for eligible employees.
✓✨ Comprehensive health, financial, and wellbeing benefits designed to support you at every stage of life.
✓🏝 Generous vacation policy and company-wide paid days off
✓🫂 1% of your time off to support local community organizations of your choice
✓👟 Annual wellness stipend to use towards eligible wellness related expenses
✓👶 Up to 22 weeks of paid parental leave for birthing parents and 12 weeks of paid parental leave for non-birthing parents
✓👪 Access to family planning reimbursement
✓💚 A challenging and fulfilling opportunity to join one of the most experienced teams in FinTech and help millions unlock financial progress

Location & Eligibility

Where is the job
San Francisco, United States
On-site at the office
Who can apply
US

About this job

Pay per year
$269,000–$373,000 a year
49% above the $215,000 median for Machine Learning jobs on Jobera (147 salaries).
Who can apply
United States
Posted
Today
Employer
has 72 open jobs on Jobera.

Listing Details

Posted
November 13, 2026
First seen
November 13, 2026
Last seen
November 13, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
79%
Scored at
November 13, 2026

Signal breakdown

freshnesssource trustcontent trustemployer trust

We’re changing the way people feel about banking.

Employees
501-1,000
Domain
View company profile
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Director, Machine Learning Engineering$269,000 — $373,000 USD