Senior Machine Learning Engineer, Planning

Waymo • Mountain View, CA

76d • $204,000 - $259,000

About The Position

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.

Requirements

• BS in Computer Science, ML, Robotics, similar technical field of study, or equivalent practical experience
• 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
• 5+ years of experience in Machine Learning modeling and/or Autonomous Vehicles

Nice To Haves

• 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.
• Prior software development or ML research industry experience (including internships).
• 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.

Responsibilities

• 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.

Benefits

• Incredible maternity leave
• Health care
• Retirement planning
• Discretionary annual bonus program
• Equity incentive plan
• Generous Company benefits program

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Bachelor's degree
• Number of Employees: 1,001-5,000 employees