Machine Learning Engineer, Prediction & Planning

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.

• 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

Nice to have

• 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