Waymo
Machine Learning Engineer / Applied Scientist, Prediction & Planning
$175K–$215K
Mountain View, CA USA +3 · Full-time · Posted Oct 8, 2025
- Location
- Mountain View, CA USA
San Francisco, CA USA
Mountain View, California, United States
San Francisco, California, United States - Education
- PhD in Computer Science, Machine Learning, Robotics, or a related technical field, or equivalent practical experience.
About the job
Develop and deploy machine-learning models that predict driving situations and plan safe, efficient behavior for Waymo’s autonomous vehicles.
What you'll do
- Design, implement, and evaluate generative models for vehicle planning and prediction.
- Turn real-world driving challenges into machine-learning problems, including using foundation models and reinforcement learning.
- Build tested, scalable production code and collaborate on planning behavior and research publications.
What they ask for
- PhD in Computer Science, Machine Learning, Robotics, or a related technical field, or equivalent practical experience.
- Track record of publications at top-tier conferences.
- Demonstrated impact through influential research, widely adopted open-source projects, or significant industry contributions.
- Hands-on expertise with modern deep-learning frameworks and programming in Python and/or C++.
Nice to have
- Specialized research experience in deep learning, reinforcement learning, causal reasoning, or foundation models.
- Prior applied ML research or software development experience; motion-planning, prediction, or robotics expertise; or experience with production ML systems.
Pay
$175,000 — $215,000 USD (base salary)
Tools
JAX, PyTorch, Python, C++
AI focus
Generative models, foundation models, and reinforcement learning for autonomous-vehicle prediction and planning.
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