Build scalable systems for training and fine-tuning large-scale models to evaluate driving
Work at the intersection of data engineering, model development, and simulation. Own large, complex
Contribute to production and optimization of ML models for Waymo’s fleet.
Design and scale distributed ML workflows supporting large datasets and model evaluation.
Collaborate cross-functionally to translate product goals into measurable technical deliverables.

🎯 Requirements

MS or PhD in CS/ML/AI or equivalent practical experience.
3+ years in ML infrastructure: developing, scaling, training, deploying, and optimizing large-scale
Contributions to ML tooling/frameworks (e.g., PyTorch, Jax, TensorFlow, Ray); understand
Strong expertise in distributed training techniques and optimization for scaling across ML

🎁 Benefits

Salary range: $170,000 — $216,000 USD
Discretionary annual bonus, equity incentives, and benefits program

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