Staff Machine Learning Engineer (Supply)

• As a Staff Machine Learning Engineer, you will serve as the technical leader for Lime’s ML-powered Supply & Fleet Optimization Systems.
• You will define the long-term technical direction, lead execution across multiple ML initiatives, and ensure we are building scalable, high-impact systems that drive business outcomes.
• This role combines deep technical expertise with strong ownership and mentorship, acting as a force multiplier for the team.
• We are looking for engineers who thoughtfully integrate modern AI tools into their work: using them to raise quality, solve problems and move faster while maintaining strong engineering judgment and ownership
• You’ll partner closely with product, operations, and engineering leadership to translate ambiguous, high-stakes problems into clear strategies and executable plans, while guiding a team of engineers to deliver at a high bar
• Own 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, ensuring alignment with business goals
• Act as the primary technical decision-maker for the team, setting architecture, modeling approaches, and engineering standards
• Mentor and develop engineers, providing technical guidance and raising the overall bar for ML and software engineering excellence
• Partner with product and operations leadership to shape strategy, prioritize investments, and ensure ML solutions drive measurable outcomes
• Establish best practices for ML development, deployment, monitoring, and iteration at scale
• Identify and drive high-leverage opportunities, balancing short-term impact with long-term platform and modeling investments
• Serve as a hands-on technical leader, contributing to critical parts of the codebase while enabling others to execute effectively
• Write clean, maintainable, well-tested code by thoughtfully leveraging AI-assisted development workflows to improve quality and efficiency while maintaining high standards for validation, security, and ownership

Benefits

• Disability insurance
• 401(k)- 7+ years of experience in software engineering and machine learning, with a track record of leading large, complex ML systems in production
• Experience using AI-assisted development tools to support coding, debugging, testing, documentation, technical exploration, and analysis
• Experience mentoring and developing engineers, with a track record of raising team performance and influencing engineering culture
• Ability to validate AI-assisted outputs, identifying risks and failure modes, protecting sensitive information, and knowing when deeper manual review is required
• Strong system design skills, including architecture of scalable ML systems, data pipelines, and real-time or batch inference systems
• Demonstrated experience acting as a technical lead or de facto team lead, driving projects across multiple engineers and stakeholders
• Strong coding skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (SQL, Spark)
• Proven ability to translate ambiguous business problems into clear technical strategies and deliver measurable impact
• Experience owning or leading ML platforms or systems at company or org-wide scale
• Background in time-series modeling, forecasting, optimization, or operations research applied to real-world systems
• Familiarity with experimentation frameworks, causal inference, and decision-making under uncertainty