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
