The opportunity
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver—The World's Most Experienced Driver™—to improve access to…
What you'll do
Architect, train, and optimize multi-task deep learning models (PyTorch /: JAX) across multi-modal sensor streams.
Build automated data mining pipelines, active learning loops, hard-example: curation, and auto-labeling systems.
Develop high-resolution vision architectures and spatial-temporal transformer backbones.
Leverage multimodal foundation models for automated data curation, synthetic: edge-case generation, and failure triage.
Profile and optimize models for efficient onboard accelerator inference.
–5+ years training and deploying production vision or multi-modal deep learning models.
What they're looking for
- Experience with multi-modal sensor fusion (Camera + LiDAR + Audio),: multi-task learning (MTL), transformer architectures, and PyTorch / JAX.
- Experience building large-scale data curation pipelines, active learning loops, and auto-labeling systems.
- Fluency with modern AI developer tools and foundation model workflows for fast prototyping.
