Senior Machine Learning Engineer, Predictive Planner, Systems Arch
waymo · Mountain View, CA, USA; San Francisco, CA, USA ·
- Seniority
- Senior
- Employment
- Contract
- Category
- ML ai
- Experience
- 4+ years
- Salary
- USD 213,000 – 263,000 / year
waymo · Mountain View, CA, USA; San Francisco, CA, USA ·
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Senior ML engineer on Waymo's Predictive Planning team designs and deploys deep learning models that predict the future state of the world and plan the autonomous vehicle's behavior, working across data, modeling, metrics, and planner system architecture using TensorFlow/JAX/PyTorch on Google's data infrastructure.
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.
The system architecture team handles the onboard contract of the model with the system, including kinematics, interfaces and representations. Our team’s mission is to work across the stack, building the best setup for the model to drive. We tackle this through projects in data, modeling, metrics, and the overall planner system.
In this role, you will report to a Technical Lead Manager.
You will:
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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.
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