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# Machine Learning Engineer, Prediction & Planning

- **Company:** Waymo LLC
- **Location:** Mountain View, CA, United States
- **Experience:** Experienced
- **Salary:** $175,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** C++ (Programming Language), Computer Programming, Software Debugging, Python (Programming Language), Machine Learning, Motion Planning, Open Source Technology, Performance Tuning, Enterprise Planning Systems, Tensorflow, Software Engineering, Reinforcement Learning, Pytorch, Deep Learning, Information Technology
- **Published:** September 5, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/83458387/1

## About the Role

* 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

## Description

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.


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