Staff Machine Learning Engineer, Supply

• Own the technical vision and roadmap for ML systems powering forecasting, supply positioning, and fleet optimization.
• Lead end-to-end execution of complex, cross-functional ML initiatives from problem framing through production impact.
• Act as the primary technical decision-maker, setting architecture, modeling approaches, and engineering standards.
• Mentor and develop engineers, raising the overall bar for ML and software engineering excellence.

This role directly enables Lime's mission to provide shared, affordable, and carbon-free transportation by optimizing vehicle deployment and rebalancing, reducing car dependency and emissions in cities worldwide.

• 7+ years of experience in software engineering and machine learning with a track record of leading large, complex ML systems in production.
• 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.
• Strong coding skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (SQL, Spark).

Base salary range determined by location and experience; total compensation may include discretionary annual performance bonus opportunities and equity. Remote work within Canada.

Lime is a global leader in micromobility on a mission to build a future where transportation is shared, affordable, and carbon-free. It has powered more than one billion rides in close to 30 countries.