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.
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