Waymo
Staff ML Engineer, Generative Model Performance & Efficiency
$251K–$310K
Mountain View, California, United States +2 · Staff · Full-time · Posted Jun 29, 2026
- Location
- Mountain View, California, United States
New York City, New York, United States
Mountain View, California, United States - Experience
- 5+ years.
- Education
- MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
About the job
Optimize the performance, efficiency, and scalability of generative ML models and their training and serving systems for realistic autonomous-driving simulation.
What you'll do
- Analyze model architectures and profile training and inference to identify performance bottlenecks.
- Develop and apply model compression, parallelism, hardware optimization, and efficient attention techniques.
- Build high-throughput, low-latency model serving and performance analysis tools; optimize training pipelines.
What they ask for
- MS or PhD in Computer Science, Machine Learning, Robotics, or a related field.
- 5+ years of experience with deep learning architectures, algorithms, and optimization techniques.
- Proficiency in JAX and Flax, and expertise with ML workload profiling tools.
- Hands-on experience with model compression methods; strong programming skills in Python and potentially C++.
Nice to have
- Knowledge of TPU/GPU architectures and familiarity with XLA or other ML compilers.
- Understanding of multi-device and multi-machine training/serving; experience contributing to ML frameworks or libraries.
Pay
$251,000–$310,000 USD base salary
Tools
JAX, Flax, TensorFlow, PyTorch, Python, C++, TPUs, GPUs
AI focus
Improve generative models for simulation through performance profiling, compression, efficient training, and scalable low-latency serving.
Model-written summary · the original posting is authoritative