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 cutting-edge ML practices in a creative work setting. 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 engineers Requirements:
M.S. or Ph.D. in Computer Science or related field
5+ years of experience in machine learning modeling
Proficiency in TensorFlow, PyTorch, or similar frameworks
Solid understanding of statistical concepts and performance metrics
Expertise in Python or Golang programming languages Utilize your machine learning expertise to drive impactful solutions at Lyft, enhancing ride-sharing experiences.

📌 Senior Machine Learning Engineer At Lyft Toronto
🏢 Lyft
📍 Toronto