Remote Staff Machine Learning Engineer, Positioning

Summary

Join us at Lime, a global shared electric vehicle company, to tackle complex machine learning challenges and contribute to optimizing scooter and bike deployment in cities worldwide.

Requirements

• 7+ years of industry professional software engineering and/or ML experience with a track record of building and maintaining successful products
• Experience employing a variety of machine learning techniques
• Collaboration skills when working cross-functionally with product managers, operations teams and other stakeholders to translate business requirements into technical solutions
• Passion for helping your teammates grow and influencing the technical culture
• Ability to set a technical vision and execute against it
• Sense of urgency to get things done and deliver incrementally

Responsibilities

• Contribute directly to improving Lime’s demand forecasting and positioning algorithms
• Help set and execute a multi-year ML strategy, incorporating state-of-the-art technologies, processes and techniques
• Collaborate closely across engineering, product, data science, operations and more to make the best technical and product decisions
• Coach engineers and data scientists

Preferred Qualifications

• Specific experience in forecasting demand
• Specific experience with reinforcement learning
• Specific experience with online learning
• Experience or interest in experimenting with LLMs

Benefits

• Competitive salaries, performance-based annual bonus and pre-IPO equity
• Health and wellness offerings for all team members starting day one including access to top-tier fitness and mindfulness apps
• Flexible vacation policies with ample paid holidays tailored to country of residence
• Fully-paid leave following the birth or adoption of a child and financial, medical and educational support for Limers pursuing parenthood
• Support for retirement and financial goals with unlimited access to financial advisors
• Unlimited, complimentary use of our vehicles in hundreds of cities around the world
• Professional growth opportunities through quarterly learning days and top-tier tools