Principal Machine Learning Engineer

• Drive alignment across teams on ML strategy, standards, and long-term technical direction by serving as a technical leader for Lime's ML Center of Excellence
• Guide recommendations for ML infrastructure, tooling, and architecture (training, serving, feature stores, experimentation, monitoring)
• Define and evolve ML development processes, including model review, experimentation rigor, deployment, optimization, and operations
• Establish best practices for ML monitoring, observability, alerting, and model performance health in production

This role contributes to building a future where transportation is shared, affordable and carbon-free by improving Lime's electric bikes and scooters through machine learning systems that enhance product, operations, and efficiency.

• 8+ years of professional experience in software engineering or applied ML, with a record of delivering production level systems
• Fluency in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (e.g. SQL, pandas, spark, airflow)
• Strong foundation in ML fundamentals, including model evaluation, experimentation, optimization, production deployment, and operations
• Strong system design skills and comfort working with distributed systems

The base salary range is determined by objective factors such as the candidate's location and relevant skills and experience. Total compensation package may also include discretionary annual performance bonus opportunities and equity, subject to applicable plan terms and eligibility requirements.

Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents, on a mission to build a future where transportation is shared, affordable and carbon-free through electric bikes and scooters.