Job Description & How to Apply Below
Become a pivotal part of Lyft's Rider Applied AI team as a Senior Machine Learning Engineer. Lead innovative projects, utilizing groundbreaking ML and AI systems in a hybrid work environment.
Lyft is searching for an experienced Senior Machine Learning Engineer to take charge of designing and deploying advanced machine learning solutions. This role combines strategic system architecture with hands-on implementation, requiring proficiency in deep learning technologies and collaboration with multi-disciplinary teams. Candidates must be adept at addressing complex business challenges with data-driven insights.
Key Responsibilities:
• Develop and deploy machine learning models for real-time applications
• Architect scalable ML pipelines integrating with existing systems
• Explore and evaluate emerging algorithms and technologies
• Collaborate with engineers and product managers to align initiatives
• Mentor junior engineers and maintain code quality
Requirements:
• M.S. or Ph.D. in Computer Science or related field
• 5+ years in machine learning or related areas
• Experience with Tensor Flow, PyTorch, or similar frameworks
• Proficient in Python or Golang
• Strong analytical and communication skills
Utilize your expertise in machine learning and AI to drive innovation at Lyft, shaping the future of ride-sharing.
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Position Requirements
10+ Years
work experience
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