Machine Learning Engineer / Applied Scientist, Prediction & Planning

Highlights

• Design generative models to predict the future and plan autonomous driving.
• Power Waymo's fully autonomous ride-hail service trusted across 15+ U.S. states.
• Turn unprecedented real-world driving data into safe, smooth planning behaviors.

What they offer

• Annual bonus program
• Equity incentive plan
• Company benefits program

Ideal candidate

Research-driven ML scientist passionate about autonomous driving who turns open-ended real-world challenges into safe, scalable systems and thrives collaborating with world-class engineers to bring cutting-edge research to production.

Requirements

• PhD in Computer Science, Machine Learning, Robotics, or related field or equivalent experience
• Proven publication record in top-tier conferences such as NeurIPS, ICML, ICLR, CVPR, and CoRL
• Demonstrated impact on ML community via influential research, open-source projects, or industry contributions
• Hands-on expertise with modern deep learning frameworks such as JAX or PyTorch
• Proficient in Python and/or C++ with strong analytical and debugging abilities