Elevate your career with Lyft as a Senior Machine Learning Engineer focused on recommendations. Engage in problem-solving with state-of-the-art AI and ML technologies in a hybrid environment.
Lyft seeks a Senior Machine Learning Engineer to spearhead the development of transformative models for their Rider AI team. This role demands balancing architectural strategy with hands-on execution and collaboration across various departments. Successful candidates will excel in translating complex ML research into scalable applications and guiding teams with data-driven insights.
Key Responsibilities:
• Research and implement cutting-edge machine learning models
• Design scalable ML systems that integrate seamlessly




• Investigate new technologies and algorithms to enhance capabilities
• Collaborate across teams to drive alignment on goals
• Mentor junior engineers while ensuring code quality
Requirements:
• M.S. or Ph.D. in Computer Science or akin field
• Minimum of 5 years experience in machine learning
• Proficiency in frameworks like TensorFlow and PyTorch
• Robust programming skills in Python or Golang
• Robust analytical and interpersonal skills
Bring your machine learning expertise to Lyft and help redefine the ride-sharing landscape.
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📌 Machine Learning Engineer Role at Lyft (Toronto)
🏢 Lyft
📍 Toronto