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 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 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
- Strong 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