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
Design, build, and scale ML systems that power deployment and rebalancing decisions for Lime’s shared electric vehicles
Requirements
5+ years of professional software engineering and ML experience
Strong coding skills in Python
Experience with modern ML frameworks (e.g., PyTorch, TensorFlow)
Experience with data tools (SQL, Spark, Pandas)
Skilled at turning data exploration and insights into business-impacting projects
Experience taking ML models from prototype to production, including deployment, monitoring, and iteration
Strong collaborator; experience partnering with product, operations, and engineering teams
Passionate about mentoring and raising technical bar
Expertise in time-series modeling and demand forecasting at scale (preferred)
Background in optimization or operations research, particularly applied to logistics, scheduling, or large-scale planning problems (preferred)
Familiarity with A/B testing, causal inference, or other experimentation methods (preferred)
Experience with geospatial or spatiotemporal data in applied ML (preferred)
Benefits
Annual performance bonus
Equity (stock/equity may be provided)
Benefits (unspecified, part of compensation package)
Offers Equity
Offers Bonus
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.