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 workplace.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 TensorFlow, PyTorch, or similar frameworks
- Strong understanding of statistical concepts and performance metrics
- Expertise in Python or Golang programming languagesUtilize your machine learning expertise to drive impactful solutions at Lyft, enhancing ride-sharing experiences.
📌 Senior Machine Learning Engineer At Lyft (Toronto)
🏢 Lyft
📍 Toronto