# Machine Learning Engineer, Prediction & Planning Source: https://realanalystjobs.com/job/machine-learning-engineer-prediction-and-planning-waymo-17875653 Machine Learning Engineer, Prediction & Planning at Waymo, an on-site role based in Mountain View, California, USA. Experience level: 2+ Years. Pay stated in the posting: $175,000 to $215,000. Posted on 28 April 2025, read from Waymo's own careers page (Greenhouse), which RealAnalystJobs re-checks daily and removes the role when it closes. Waymo has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Waymo](https://realanalystjobs.com/companies/waymo) - Location: Mountain View, California, USA - Work mode: On-site - Pay stated in the posting: $175,000 to $215,000 - Posted: Apr 28, 2025 - Employment type: Full time - Experience level: 2+ Years - Source: Waymo's careers page (Greenhouse), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python) ## Visa sponsorship The posting does not say. Waymo had H-1B petitions approved for 271 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/waymo#h1b-record) ## About this role Waymo is an autonomous driving technology company with the mission to be the world's 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’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. The Predictive Planning team (PrePlan) develops and deploys state-of-the-art machine learning solutions that predict the future state of the world and plan the Waymo Driver’s behavior. Our mission is to transform Waymo's unprecedented scale of driving data into robust, generalizable, and performant deep neural networks. These models enable the autonomous vehicle to navigate complex environments safely and efficiently. In this hybrid role, you will report to a manager on our PrePlan team. Team matching happens after you've completed your onsite interviews. You will: • Develop the next-generation ML-powered prediction and planning system to enhance the performance and capabilities of the ML driver and support the rapid scaling of Waymo’s business. • Frame open-ended, real-world challenges as well-defined ML problems; research, develop, and apply cutting-edge ML techniques, including foundation models and reinforcement learning, for the planning and prediction tasks of autonomous vehicles. • Collaborate with world-class researchers, engineers and product owners to create safe, smooth planning behaviors for all road users and to meet product requirements. • Develop and evaluate large models, and integrate them into Waymo’s production planning software for real-world applications through close partnership with the Planner and Research teams. You have: • BS in Computer Science, ML, Robotics, similar technical field of study • 2+ years of experience in Machine Learning modeling and/or Autonomous Vehicles • Demonstrated contributions to the ML community through publications, open-source projects, or significant industry impact • Hands-on experience with modern deep learning libraries (eg: TensorFlow, JAX, Pytorch) • Proficient programming skills (eg: Python, C/C++) • Strong analytical and debugging skills We prefer: • MS or PhD in Computer Science, Machine Learning, Robotics, or a related field • Publications in top-tier conferences such as ICML, NeurIPS, CVPR, ICCV, ECCV, ICLR, IROS, CoRL, ACL, or EMNLP • General software engineering experience solving motion planning or related robotics problems • Experience applying or evaluating ML-based systems in production environments • Experience with performance optimization of deep models, including with respect to specific hardware architectures \#LI-Hybrid 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 $175,000 - $215,000 USD Description from Waymo's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/machine-learning-engineer-prediction-and-planning-waymo-17875653) and use Apply now there to reach the employer's application. The listing is re-checked against Waymo's careers page daily and removed when it closes. ## Waymo 4 open analyst roles on Real Analyst Jobs. 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