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Lime

Building a future where transportation is shared, affordable and carbon-free. Join us! www.li.me/careers

Principal Machine Learning Engineer

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteLeadTeam 501-1,000Since 2017H1B SponsorCompany SiteLinkedIn

Location

Canada

Posted

110 days ago

Salary

CA$192K - CA$264K / year

Seniority

Lead

Job Description

Principal Machine Learning Engineer

Lime

• 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

Job Requirements

  • 8+ years of professional experience in software engineering or applied ML
  • 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
  • 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

Benefits

  • Offers Equity
  • Offers Bonus

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