<div><p>Waymo is an autonomous driving technology company with the mission to be the worlds most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The Worlds Most Experienced Driver™—to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo’s fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.</p></div><p>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 Worlds 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.</p> <p> </p> <p>The ML Data Infra team, part of the Waymo ML Platform team, builds tools &amp; infrastructure that empower all ML dataset generation at Waymo. These systems include solutions for data selection, data extraction, token generation, model inference, feature store, ML data storage, and distillation. This team also partners closely with the rest of the ML Platform team that provides an end-to-end solution for anyone at Waymo to do ML at scale. We are looking for a senior TLM to lead &amp; manage the Waymo ML data infra team to continue to shape our next generation data infra at Waymo.</p> <p><strong>You Will:</strong></p> <ul> <li>Manage the team that builds the next generation of ML data infra at Waymo, including feature store, data extraction framework, inference solution, and model distillation workflow</li> <li>Create the data flywheel for Waymo by ingesting driving data into ML data continuously</li> <li>Support the continuing scaling of Waymo’s ML data in support of the foundation model development</li> <li>Collaborate with ML modeling teams in understanding their data needs &amp; design infra solutions that solve their problems</li> </ul> <p><strong>You Have:</strong></p> <ul> <li>Master’s degree or PhD in Computer Science, Engineering, or a related technical field</li> <li>10+ years of professional experience in the field of software engineering</li> <li>3+ years of experience in team management role</li> <li>Proficiency in C++ or Python</li> <li>Experience in designing distributed systems processing data at scale</li> <li>Passionate about building world-class ML infrastructure</li> <li>Strong communication skills</li> </ul> <p><strong>Nice To Have:</strong></p> <ul> <li>Experience with designing &amp; scaling ML data infra</li> <li>Experience with productionizing large scale inference workload</li> <li>Experience in building ML Infra for in the domain of autonomous driving</li> <li>Familiarity with the entire ML development cycle &amp; corresponding challenges</li> </ul><div><div><div><p><span>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. </span></p> <p><span>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. </span></p></div><div>Salary Range</div><div><span>$281,000</span><span>—</span><span>$356,000 USD</span></div></div></div>