Senior Machine Learning Engineer - Remote

Overview

Lime is the world's largest shared electric vehicle company. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered 700+ million rides in 250+ cities on 5 continents, replacing an estimated 150+ million car trips. Named a Time 100 Most Influential Company and Fast Company Brand That Matters, Lime continues to set the pace for shared micromobility globally.

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 Machine Learning team is central to this mission, building demand forecasts, recommending deployment strategies, and creating models that directly influence millions of rides worldwide.

In Short

• Build and improve Lime’s demand forecasting and vehicle positioning algorithms.
• Drive execution of Lime’s multi-year ML strategy.
• Collaborate with product managers, data scientists, engineers, and operations leaders.
• Mentor and coach engineers to raise the bar on ML expertise.

Requirements

• 5+ years of professional software engineering and ML experience.
• Strong coding skills in Python and experience with modern ML frameworks.
• Skilled at turning data exploration into business-impacting projects.
• Experienced in taking ML models from prototype to production.
• Strong collaborator in cross-functional environments.
• Passionate about mentoring and shaping team culture.

Benefits

• Make an impact in the shared mobility industry.
• Work with a talented and diverse team.
• Opportunity for professional growth and development.