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.
As a Senior Machine Learning Engineer, you will design, build, and scale ML systems that power these decisions. You’ll partner with data scientists, operators who know their cities block-by-block, and engineers across the stack to deliver solutions that bridge cutting-edge algorithms with real-world execution.
What You’ll Do:
Build and improve Lime’s demand forecasting and vehicle positioning algorithms to ensure riders have access to a scooter or bike when and where they need it.
Drive execution of Lime’s multi-year ML strategy, applying state-of-the-art technologies, processes, and techniques to production systems at global scale.
Collaborate with product managers, data scientists, engineers, and operations leaders to make high-impact technical and product decisions.
Mentor and coach engineers, raising the bar on ML expertise and engineering excellence across the team.
About You:
5+ years of professional software engineering and ML experience, with a track record of building and scaling successful products.
Strong coding skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (SQL, Spark, Pandas).
Skilled at turning data exploration and insights into business-impacting projects, including applying machine learning to drive measurable value.
Experienced in taking ML models from prototype to production, including deployment, monitoring, and iteration.
Strong collaborator who thrives in cross-functional environments, partnering with product, operations, and engineering teams to translate business needs into technical solutions.
Passionate about mentoring and raising the technical bar, helping teammates grow and shaping team culture.
Preferred Experience:
Expertise in time-series modeling and demand forecasting at scale.
Background in optimization or operations research, particularly applied to logistics, scheduling, or large-scale planning problems.
Familiarity with A/B testing, causal inference, or other experimentation methods to evaluate ML-driven impact.
Experience with geospatial or spatiotemporal data in applied ML.
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If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page.
Lime is an Equal Opportunity Employer, but that’s just the start. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to hiring and developing the most talented and globally diverse team – which includes individuals with different backgrounds, abilities, identities and experiences. Applicants who require a reasonable accommodation for any part of the application or hiring process can email [email protected] for assistance.
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