Job Description
📋 Description Build scalable systems for training and fine-tuning large-scale models to evaluate driving behaviors Work at the intersection of data engineering, model development, and simulation Own large, complex systems driving architectures that meet objectives Contribute to production and optimization of ML models for Waymo fleet Design and scale distributed systems for ML lifecycle and planet-scale datasets Collaborate cross-functionally to derive requirements and measurable deliverables 🎯 Requirements MS or PhD in CS/ML or related field, or equivalent experience 5+ years in ML infrastructure (data to model): training, deployment, optimization Contributions to tooling/frameworks (PyTorch, Jax, TensorFlow, Ray) with API and internals knowledge Strong distributed training expertise and profiling to optimize ML on accelerators 🎁 Benefits Waymo discretionary annual bonus program and equity incentives Generous benefits package for employees Flexible schedule and career growth opportunities
