Senior MLOps & Data Systems Engineer

• Design, build, and maintain scalable MLOps pipelines for data ingestion, annotation, training, evaluation, and deployment.
• Drive data-centric iteration by analyzing model performance and connecting production signals to annotation workflows.
• Implement CI/CD for ML, experiment tracking, and monitoring systems to ensure reproducibility and continuous improvement.

This role directly advances sustainable transportation by building the data and ML infrastructure that enables safer, more reliable micromobility—reducing car dependency and carbon emissions in cities worldwide.

• 5+ years of industry experience in MLOps, ML infrastructure, or related roles.
• Strong Python skills and experience with ML frameworks like PyTorch or TensorFlow.
• Experience building end-to-end ML pipelines and integrating annotation workflows.
• Familiarity with CI/CD tools (e.g., GitHub Actions), Docker, and cloud-based ML environments (e.g., AWS).

Comprehensive health & wellness plans, 401(k) with pre-tax/Roth options, HSA with company contribution, paid parental leave, unlimited vacation, 10 company holidays, complimentary Lime vehicle use, monthly phone allowance, learning & development days, and perks like One Medical, Wellhub, and Headspace. Base salary range determined by location and experience; total compensation may include bonus and equity.

Lime is the largest global shared micromobility company, operating in nearly 30 countries with a mission to build a future where transportation is shared, affordable, and carbon-free. Named a 2025 Time 100 Most Influential Company, Lime has powered over one billion rides on its electric bikes and scooters.