Staff Machine Learning Engineer, Lime

• 7+ years of experience in software engineering and machine learning, with a track record of leading large, complex ML systems in production
• Demonstrated experience acting as a technical lead or de facto team lead, driving projects across multiple engineers and stakeholders
• Strong system design skills, including architecture of scalable ML systems, data pipelines, and real-time or batch inference systems
• Proven ability to translate ambiguous business problems into clear technical strategies and deliver measurable impact
• Experience mentoring and developing engineers, with a track record of raising team performance and influencing engineering culture
• Strong coding skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (SQL, Spark)

Desirable

• 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
• 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
• This is a remote position with a requirement for candidates to reside in Canada to maintain effective collaboration across teams
• 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