Lime is the largest global shared micromobility business, operating in close to 30 countries across five continents. We’re on a mission to build a future where transportation is shared, affordable and carbon-free. Our electric bikes and scooters have powered more than one billion rides in cities around the world. Named a 2025 Time 100 Most Influential Company, Lime continues to set the pace for shared micromobility globally, spurring a new generation of clean alternatives to car ownership.
Lime is hiring a Principal Machine Learning Engineer to join the Data Science & Analytics team and build our Machine Learning Center of Excellence. In this role, you will be a senior individual contributor reporting to the Head of Data and partnering with senior software engineering leadership across Lime’s technology teams. This role will be responsible for shaping how machine learning is built, deployed, and operated across Lime. You will set technical direction and standards for ML infrastructure, featured development, and model lifecycle management. This role blends deep hands-on work with significant cross-team leadership and influence.
This is a remote position with a requirement for candidates residing in Canada to maintain effective collaboration across teams.
What you’ll do:
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
Drive reusable feature development patterns and shared ML capabilities that enable teams to move faster and more safely
Partner with platform, data, and product engineering teams to ensure ML systems are reliable, scalable, and cost effective
Identify and prioritize opportunities where ML will improve Lime’s product, operations, or efficiency
Act as a force multiplier by mentoring data scientists and machine learning engineers, raising the quality bar for machine learning across Lime
About you:
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
Track record of influencing ML architecture and practices across multiple teams
Preferred Experience:
Background in domains relevant to Lime (e.g., forecasting, optimization, pricing, marketplace dynamics)
Prior experience building a ML platform or center of excellence through defining ML standards, governance, or shared tooling at scale
The base salary range listed reflects what Lime reasonably expects to offer for this role, with the final base salary determined by objective factors such as the candidate’s location and relevant skills and experience. Depending on the position, the total compensation package may also include discretionary annual performance bonus opportunities and equity, subject to applicable plan terms and eligibility requirements.
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If you want to make an impact, Lime is the place for you. Not sure if you meet all the qualifications? If this role excites you we encourage you to apply. Explore all opportunities on our career page.
Lime is proud to be an Equal Opportunity Employer. We believe different perspectives help us grow and achieve more. That’s why we’re dedicated to building and developing a team that reflects a wider range of backgrounds, abilities, identities, and experiences. If you require a reasonable accommodation during the application or hiring process, please email [email protected] for assistance.
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