Staff Machine Learning Engineer, Supply

This is a fully remote position, open to applicants in United States.

📋 Description

• Define the technical vision and roadmap for machine learning systems that support forecasting, supply positioning, and fleet optimization.

• Oversee the complete execution of intricate, cross-functional machine learning initiatives from problem identification to production impact.

• Ensure that machine learning initiatives are aligned with business objectives.

• Serve as the main technical decision-maker, establishing architecture, modeling techniques, and engineering standards.

• Mentor and develop engineering talent.

• Collaborate with product and operations leadership to formulate strategy and prioritize investments.

• Establish best practices for machine learning development, deployment, monitoring, and scaling iterations.

• Identify and pursue high-leverage opportunities while balancing immediate impacts with long-term platform and modeling investments.

• Contribute directly to essential aspects of the codebase.

• Write clean, maintainable, and well-tested code utilizing AI-assisted development workflows, while adhering to validation, security, and ownership standards.

• Transform ambiguous, high-stakes mobility challenges into actionable strategies and plans.

• Guide engineers in delivering scalable, high-impact systems that influence supply and fleet optimization for Lime’s shared micromobility operations.

⛳️ Requirements

• A minimum of 7 years of experience in software engineering and machine learning.

• Proven track record of leading large, complex machine learning systems in production environments.

• Experience in a technical lead role or as a de facto team lead.

• Experience managing projects involving multiple engineers and stakeholders.

• Strong skills in system design.

• Experience in architecting scalable machine learning systems, data pipelines, and real-time or batch inference systems.

• Ability to convert ambiguous business challenges into distinct technical strategies and achieve measurable results.

• Experience mentoring and developing engineering professionals.

• Proficiency in coding with Python.

• Familiarity with modern machine learning frameworks such as PyTorch and TensorFlow.

• Experience with data tools like SQL and Spark.

• Familiarity with AI-assisted development tools for coding, debugging, testing, documentation, technical exploration, and analysis.

• Ability to validate AI-assisted outputs, identify risks and failure modes, safeguard sensitive information, and assess when deeper manual review is necessary.

• Preferred: experience in owning or leading machine learning platforms or systems at a company or organization-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 selection 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 contributions.

• Paid parental leave for both birthing and non-birthing parents.

• Fertility and family-forming benefits.

• Unlimited vacation policy.

• Paid leaves.

• 10 recognized company holidays.

• Complimentary access to Lime vehicles in participating cities.

• Monthly phone allowance.

• Designated learning and development days.

• Access to One Medical, Wellhub, and Headspace.

• Opportunities for discretionary annual performance bonuses.

• Equity, subject to applicable plan terms and eligibility criteria.