Staff Machine Learning Engineer (Supply)

Join Lime as a Staff Machine Learning Engineer, where you will lead the technical direction for ML-powered Supply & Fleet Optimization Systems. You will execute complex, cross-functional ML initiatives, mentor and develop engineers, and partner with product and operations leadership to shape strategy and drive measurable outcomes. This remote position requires candidates to reside in Canada.

• Definir la dirección técnica a largo plazo y liderar la ejecución de múltiples iniciativas de aprendizaje automático.
• Actuar como el principal tomador de decisiones técnicas para el equipo, estableciendo la arquitectura, los enfoques de modelado y los estándares de ingeniería.
• Mentorizar y desarrollar ingenieros, proporcionando orientación técnica y elevando el nivel general de excelencia en aprendizaje automático y ingeniería de software.
• 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)
• 7+ years of experience in software engineering and machine learning, with a track record of leading large, complex ML systems in production
• 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
• Demonstrated experience acting as a technical lead or de facto team lead, driving projects across multiple engineers and stakeholders
• 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