Staff Machine Learning Engineer, Supply

As the largest global shared micromobility business, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free. A Time Magazine 100 Most Influential Company, Lime has powered more than one billion rides in close to 30 countries across five continents, spurring a new generation of clean alternatives to car ownership. Learn more at li.me.

At Lime, our mission is to ensure a scooter or bike is ready for you at the right place and the right time. Achieving this requires solving one of the most complex optimization problems in mobility: how to deploy and continually rebalance vehicles across a dynamic, ever-changing city. The Supply Machine Learning team is central to this mission, building forecasts, recommending deployment strategies, and creating models that directly influence millions of rides worldwide.

As a Staff Machine Learning Engineer, you will serve as the technical leader for Lime’s ML-powered Supply & Fleet Optimization Systems. You will define the long-term technical direction, lead execution across multiple ML initiatives, and ensure we are building scalable, high-impact systems that drive business outcomes. This role combines deep technical expertise with strong ownership and mentorship, acting as a force multiplier for the team. We are looking for engineers who thoughtfully integrate modern AI tools into their work: using them to raise quality, solve problems and move faster while maintaining strong engineering judgment and ownership.

You’ll partner closely with product, operations, and engineering leadership to translate ambiguous, high-stakes problems into clear strategies and executable plans, while guiding a team of engineers to deliver at a high bar.

This is a remote position with a requirement for candidates to reside in the United States to maintain effective collaboration across teams.

What You’ll Do

* Own the technical vision and roadmap for ML systems powering forecasting, sup