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 • Strong 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. #J-18808-Ljbffr
Machine Learning Engineer Role at Lyft • Toronto, ON, Canada
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