Job Description
Transform transportation solutions as a Lead Machine Learning Engineer at Lyft. Engage with massive data to drive innovations in ride-sharing technology.
As part of the Rider Applied AI team, this hybrid role requires strategic thinking and technical implementation to design and develop advanced machine learning systems. Ideal candidates will have a robust background in creating machine learning models and will thrive in cross-functional collaborations that push the boundaries of current technologies.
Key Responsibilities:
• Design, train, and deploy real-time machine learning models
• Create and maintain scalable ML pipelines integrated with existing systems
• Work closely with engineering and product teams for alignment
• Investigate and implement new algorithms and technologies
• Mentor peers, fostering a learning culture within the team
Requirements:
• 5+ years experience in machine learning or data science
• Deep knowledge of ML methods and libraries<...
As part of the Rider Applied AI team, this hybrid role requires strategic thinking and technical implementation to design and develop advanced machine learning systems. Ideal candidates will have a robust background in creating machine learning models and will thrive in cross-functional collaborations that push the boundaries of current technologies.
Key Responsibilities:
• Design, train, and deploy real-time machine learning models
• Create and maintain scalable ML pipelines integrated with existing systems
• Work closely with engineering and product teams for alignment
• Investigate and implement new algorithms and technologies
• Mentor peers, fostering a learning culture within the team
Requirements:
• 5+ years experience in machine learning or data science
• Deep knowledge of ML methods and libraries<...