Staff Machine Learning Engineer - Jobs in Canada {{REMOTE}}

Job Description

About the roleAs 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 teamYou?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 barThis is a remote position with a requirement for candidates to reside in Canada to maintain effective collaboration across teamsOwn the technical vision and roadmap for ML systems powering forecasting, supply positioning, and fleet optimizationLead end-to-end execution of complex, cross-functional ML initiatives, from problem framing through production impact, ensuring alignment with business goalsAct as the primary technical decision-maker for the team, setting architecture, modeling approaches, and engineering standardsMentor and develop engineers, providing technical guidance and raising the overall bar for ML and software engineering excellencePartner with product and operations leadership to shape strategy, prioritize investments, and ensure ML solutions drive measurable outcomesEstablish best practices for ML development, deployment, monitoring, and iteration at scaleIdentify and drive high-leverage opportunities, balancing short-term impact with long-term platform and modeling investmentsServe as a hands-on technical leader, contributing to critical parts of the codebase while enabling others to execute effectivelyBenefitsDisability insurance401(k)- Experience mentoring and developing engineers, with a track record of raising team performance and influencing engineering cultureStrong coding skills in Python and experience with modern ML frameworks (e.g., PyTorch, TensorFlow) and data tools (SQL, Spark)7+ years of experience in software engineering and machine learning, with a track record of leading large, complex ML systems in productionStrong system design skills, including architecture of scalable ML systems, data pipelines, and real-time or batch inference systemsProven ability to translate ambiguous business problems into clear technical strategies and deliver measurable impactDemonstrated experience acting as a technical lead or de facto team lead, driving projects across multiple engineers and stakeholdersExperience owning or leading ML platforms or systems at company or org-wide scaleBackground in time-series modeling, forecasting, optimization, or operations research applied to real-world systemsFamiliarity with experimentation frameworks, causal inference, and decision-making under uncertainty.