Senior Machine Learning Engineer
About the role
Who you are
- 5+ years of professional software engineering and ML experience, with a track record of building and scaling successful products
- Strong coding skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (SQL, Spark, Pandas)
- Skilled at turning data exploration and insights into business-impacting projects, including applying machine learning to drive measurable value
- Experienced in taking ML models from prototype to production, including deployment, monitoring, and iteration
- Strong collaborator who thrives in cross-functional environments, partnering with product, operations, and engineering teams to translate business needs into technical solutions
- Passionate about mentoring and raising the technical bar, helping teammates grow and shaping team culture
- Expertise in time-series modeling and demand forecasting at scale
- Background in optimization or operations research, particularly applied to logistics, scheduling, or large-scale planning problems
- Familiarity with A/B testing, causal inference, or other experimentation methods to evaluate ML-driven impact
- Experience with geospatial or spatiotemporal data in applied ML
What the job involves
- As a Senior Machine Learning Engineer, you will design, build, and scale ML systems that power these decisions. You’ll partner with data scientists, operators who know their cities block-by-block, and engineers across the stack to deliver solutions that bridge cutting-edge algorithms with real-world execution
- 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
About Lime
Lime is the world's largest shared electric vehicle company. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered 400+ million rides in 250+ cities on 5 continents, replacing an estimated 100+ million car trips. Named a Time 100 Most Influential Company and Fast Company Brand That Matters, we achieved a fully profitable year in 2022, becoming the first in our industry to reach this milestone.
Senior Machine Learning Engineer
About the role
Who you are
- 5+ years of professional software engineering and ML experience, with a track record of building and scaling successful products
- Strong coding skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (SQL, Spark, Pandas)
- Skilled at turning data exploration and insights into business-impacting projects, including applying machine learning to drive measurable value
- Experienced in taking ML models from prototype to production, including deployment, monitoring, and iteration
- Strong collaborator who thrives in cross-functional environments, partnering with product, operations, and engineering teams to translate business needs into technical solutions
- Passionate about mentoring and raising the technical bar, helping teammates grow and shaping team culture
- Expertise in time-series modeling and demand forecasting at scale
- Background in optimization or operations research, particularly applied to logistics, scheduling, or large-scale planning problems
- Familiarity with A/B testing, causal inference, or other experimentation methods to evaluate ML-driven impact
- Experience with geospatial or spatiotemporal data in applied ML
What the job involves
- As a Senior Machine Learning Engineer, you will design, build, and scale ML systems that power these decisions. You’ll partner with data scientists, operators who know their cities block-by-block, and engineers across the stack to deliver solutions that bridge cutting-edge algorithms with real-world execution
- 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
About Lime
Lime is the world's largest shared electric vehicle company. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered 400+ million rides in 250+ cities on 5 continents, replacing an estimated 100+ million car trips. Named a Time 100 Most Influential Company and Fast Company Brand That Matters, we achieved a fully profitable year in 2022, becoming the first in our industry to reach this milestone.