Staff ML Engineer, Generative Model Performance & Efficiency

Highlights

• Optimize generative models powering high-fidelity simulation for the Waymo Driver.
• Build dynamic 3D virtual worlds modeling agents, roads, weather and sensors.
• Advance simulation fidelity, scalability and richness to validate autonomous driving.

What they offer

• Discretionary annual bonus program
• Equity incentive plan
• Generous Company benefits program

Ideal candidate

A performance-obsessed ML engineer who thrives on making large generative systems faster and leaner to power real-world autonomy and large-scale simulation.

Requirements

• MS or PhD in Computer Science, Machine Learning, Robotics, or related field
• 5+ years of experience with deep learning architectures, algorithms, and optimization techniques
• Proficiency in JAX, Flax, and potentially TensorFlow/PyTorch
• Expertise in using profiling tools to diagnose performance issues in ML workloads
• Hands-on experience with quantization, pruning, distillation, and other model compression methods
• Strong programming skills in Python and potentially C++