Senior Machine Learning Engineer, Runtime & Optimization

Waymo is an autonomous driving technology company with the mission to be the most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo One, a fully autonomous ride-hailing service, and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over one million rider-only trips, enabled by its experience autonomously driving tens of millions of miles on public roads and tens of billions in simulation across 13+ U.S. states. The ML Platform team at Waymo provides a set of tools to support and automate the lifecycle of the machine learning workflow, including feature and experiment management, model development, debugging & evaluation, optimization, deployment, and monitoring. These efforts have resulted in making machine learning more accessible to teams at Waymo, including Perception, Planner, Research and Simulation, ensuring greater degrees of consistency and repeatability, and addressing the "last mile" of getting models into production and managing them once they are in place. We are looking for a Senior engineer with model optimization expertise to help us improve compute performance on our car. In this hybrid role, you will report to our Head of Model Optimization. You will:

Work across the entire ML framework/compiler stack (e.g. JAX, XLA, Triton, and CUDA), and system-efficient deep learning models. Deep dive into the whole stack of ML software stack, from custom ops, framework/ ML compiler, to low-level libraries. Apply model optimization and efficient deep learning techniques to models and optimized ML operator libraries. You have:

M.S. in CS, EE, Deep Learning or a related field. 3+ years of experience on model optimization or efficient deep learning techniques. Strong Python or C++ programming skills. Solid experience with designing, training and debugging deep learning models to achieve the highest scores/accuracies. We prefer:

PhD in CS, EE, Deep Learning or a related field. Deep knowledge on system performance, GPU optimization or ML compiler. 5+ years of experience on model optimization or efficient deep learning techniques. The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process. Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements. Salary Range: $192,000 — $243,000 USD

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