Lead innovations in AI and machine learning with Lyft as a Senior Machine Learning Engineer. Collaborate with cross-functional teams to enhance ride-sharing through data solutions and advanced ML technologies.At Lyft, we seek a strategic thinker to drive the development and deployment of cutting-edge machine learning systems within the Rider Applied AI team. This hybrid role requires expertise in system architecture, real-time ML applications, and collaboration with data scientists and software engineers. You will shape the future of transportation through innovative ML practices in a creative work environment.Key Responsibilities:
• Design and deploy machine learning models for real-time use
• Architect reliable ML pipelines integrated with existing systems




• Explore emerging algorithms and technologies like LLMs
• Collaborate with diverse teams on ML initiatives
• Provide mentorship and technical direction to junior engineersRequirements:
• M. S. or Ph. D. in Computer Science or related field
• 5+ years of experience in machine learning modeling
• Proficiency in Tensor Flow, Py Torch, or similar frameworks
• Solid understanding of statistical concepts and performance metrics
• Expertise in Python or Golang programming languages

📌 Senior machine learning engineer at lyft (Toronto)
🏢 Lyft
📍 Toronto