Senior Machine Learning Engineer position at Waymo to develop ultra-realistic sensor data and perception simulation for autonomous vehicles. Apply deep ML expertise in Generative AI to push the boundaries of simulation realism and influence autonomous driving technology advancement.
Requirements
- 5+ years of experience with ML engineering and applied Deep Learning
- 5+ years of experience simulating sensor data (Camera, Lidar or Radar), 2+ years using Multi-modal Generative Models, including diffusion models or autoregressive foundational world models
- 5+ years of experience with machine learning based 3D Reconstruction rendering techniques preferably 2+ years 3D Gaussian Splatting (3DGS) and Neural Radiance Field (Nerf), depth estimation models
- 5+ years of experience with high productivity in Python, with experience developing ML software using frameworks such as PyTorch, TensorFlow and Jax/Flax
- PhD in Computer Science, Machine Learning (ML), Robotics, or similar technical field of study, or equivalent practical experience
- 3+ years of experience with sensor data processing (Lidar, Camera, or MIMO Radar)
- Experience with autonomous systems including robotics or autonomous vehicles (L4, L3+)
- 3+ years of experience in C++, particularly in integrating ML models into a production system
- 3+ years of experience training large-scale models on GPU/TPU clusters
Benefits
- Discretionary annual bonus program
- Equity incentive plan
- Generous Company benefits program