Senior ML Engineer

Lime

86d

About The Position

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.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 501-1,000 employees