Staff Machine Learning Engineer, Supply
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Job Description
Staff ML Engineer leading forecasting, supply positioning, and fleet optimization systems. Shaping technical strategy for Lime’s shared micromobility platform serving cities worldwide.
Responsibilities:
- Define the technical vision and roadmap for ML systems powering forecasting, supply positioning, and fleet optimization
- Lead end-to-end execution of complex, cross-functional ML initiatives from problem framing through production impact
- Ensure ML initiatives align with business goals
- Act as the primary technical decision-maker, setting architecture, modeling approaches, and engineering standards
- Mentor and develop engineers
- Partner with product and operations leadership to shape strategy and prioritize investments
- Establish best practices for ML development, deployment, monitoring, and iteration at scale
- Identify and drive high-leverage opportunities while balancing short-term impact with long-term platform and modeling investments
- Contribute hands-on to critical parts of the codebase
- Write clean, maintainable, well-tested code using AI-assisted development workflows while maintaining validation, security, and ownership standards
- Translate ambiguous, high-stakes mobility problems into executable strategies and plans
- Guide engineers to deliver scalable, high-impact systems influencing supply and fleet optimization for Lime’s shared micromobility business
Requirements:
- 7+ years of experience in software engineering and machine learning
- Track record of leading large, complex ML systems in production
- Experience acting as a technical lead or de facto team lead
- Experience driving projects across multiple engineers and stakeholders
- Strong system design skills
- Experience architecting scalable ML systems, data pipelines, and real-time or batch inference systems
- Ability to translate ambiguous business problems into clear technical strategies and deliver measurable impact
- Experience mentoring and developing engineers
- Strong coding skills in Python
- Experience with modern ML frameworks such as PyTorch and TensorFlow
- Experience with data tools such as SQL and Spark
- Experience using AI-assisted development tools for coding, debugging, testing, documentation, technical exploration, and analysis
- Ability to validate AI-assisted outputs, identify risks and failure modes, protect sensitive information, and determine when deeper manual review is required
- Preferred: experience owning or leading ML platforms or systems at company or org-wide scale
- Preferred: background in time-series modeling, forecasting, optimization, or operations research applied to real-world systems
- Preferred: familiarity with experimentation frameworks, causal inference, and decision-making under uncertainty
- Candidates must reside in and work remotely from the United States
Benefits:
- A choice of medical, dental, and vision plans
- Company-paid life and disability insurance
- Company-funded mental health benefits
- 401(k) plan with pre-tax and Roth options
- Health Savings Account (HSA) with monthly company contribution
- Paid parental leave for birthing and non-birthing parents
- Fertility and family-forming benefits
- Unlimited vacation
- Paid leaves
- 10 company holidays
- Complimentary use of Lime vehicles in participating cities
- Monthly phone allowance
- Dedicated learning and development days
- Access to One Medical, Wellhub, and Headspace
- Discretionary annual performance bonus opportunities
- Equity, subject to applicable plan terms and eligibility requirements
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