Drive innovation at Lyft as a Senior Machine Learning Engineer in a hybrid role. Leverage your expertise in AI and ML to impact ride-sharing solutions and streamline processes.

As part of the Rider Applied AI team, you'll focus on designing and deploying advanced machine learning models. This position requires a blended skill set, including experience in deep learning technologies such as TensorFlow or PyTorch, alongside strategic planning. Collaborate with cross-functional teams to align on business objectives and discover impactful ML applications.

Key Responsibilities:



• Design and deploy real-time machine learning models • Architect scalable ML pipelines that integrate with backend systems • Explore and evaluate emerging algorithms and technologies • Collaborate across teams to drive ML initiatives • Mentor junior engineers and maintain code quality

Requirements: • M.S. or Ph.D. in Computer Science or related field ��� 5+ years of machine learning experience • Proficiency in Python or Golang • Understanding of statistical concepts • Ability to deliver solutions for ambiguous problems

Utilize your expertise in machine learning and collaboration to redefine transportation with Lyft in this agile role.

📌 Senior Machine Learning Engineer At Lyft Toronto
🏢 Socotra
📍 Toronto