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 recent algorithms and technologies
- Mentor peers, fostering a learning culture within the teamRequirements:
- 5+ years experience in machine learning or data science
- Deep knowledge of ML methods and libraries
- Proficiency in cloud services and containerization
- Proven track record of transforming research into applied solutions
- Strong interpersonal skills for team collaborationHarness your engineering skills to elevate Lyft's machine learning initiatives and improve rider experiences.#J-18808-Ljbffr

📌 Lead Machine Learning Engineer At Lyft (Toronto)
🏢 Socotra
📍 Toronto