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 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 • 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. #J-18808-Ljbffr
📌 Senior Machine Learning Engineer at Lyft (Winnipeg)
🏢 Lyft
📍 Winnipeg