Lime

Staff Machine Learning Engineer, Supply

Canada · Staff+

Sponsorship not specifiedDetected 49 days ago

PythonSQLMachine LearningTensorFlowPyTorchSparkData EngineeringA/B TestingForecastingResearchLeadershipCollaborationMentoring

About the role

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.
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.
As a Staff Machine Learning Engineer, you will serve as the technical leader for Lime's ML-powered Supply & Fleet Optimization Systems.

Lead end-to-end execution of complex, cross-functional ML initiatives, from problem framing through production impact, ensuring alignment with business goals.
Mentor and develop engineers, providing technical guidance and raising the overall bar for ML and software engineering excellence.
Partner with product and operations leadership to shape strategy, prioritize investments, and ensure ML solutions drive measurable outcomes.
Identify and drive high-leverage opportunities, balancing short-term impact with long-term platform and modeling investments.
Demonstrated experience acting as a technical lead or de facto team lead, driving projects across multiple engineers and stakeholders.
Strong system design skills, including architecture of scalable ML systems, data pipelines, and real-time or batch inference systems.
Proven ability to translate ambiguous business problems into clear technical strategies and deliver measurable impact.
Experience mentoring and developing engineers, with a track record of raising team performance and influencing engineering culture.
That's why we're dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences.
As a global leader in micromobility, Lime is on a mission to build a future where transportation is shared, affordable and carbon-free.

Strong coding skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (SQL, Spark).

The base salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by objective factors such as the candidate's location and relevant skills and experience.
Depending on the position, the total compensation package may also include discretionary annual performance bonus opportunities and equity, subject to applicable plan terms and eligibility requirements.

Own the technical vision and roadmap for ML systems powering forecasting, supply positioning, and fleet optimization.
7+ years of experience in software engineering and machine learning, with a track record of leading large, complex ML systems in production.

Lime is proud to be an Equal Opportunity Employer.
If you require a reasonable accommodation during the application or hiring process, please email recruiting-operations@li.me for assistance.

This listing is sourced directly from Lime's careers page and normalized into a canonical job model.