Machine Learning Engineer, Prediction & Planning

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, or equivalent practical experience

Added 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

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

#LI-Hybrid

Our benefits are held Alphabet-Wide, inclusive of incredible maternity leave, health care, and retirement planning.

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.