Lime

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

Senior ML Engineer

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

Location

United States

Posted

165 days ago

Salary

$165K - $227K / year

5 yrs expEnglishPandasPythonPy TorchSparkSQLTensorflow

Job Description

• 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

Job 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

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