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
Train multi-billion parameter spatio-temporal foundation models on multi-billion frame data sets.
Deliver pre-trained models for production usage, ideally for usage in real-time systems.
Develop self-supervised learning, including image/video encoder, 3D point: cloud encoder, spatio-temporal reconstruction or future prediction, and vision-language contrastive learning.
Develop multi-teacher distillation recipes.
Develop methods to understand and evaluate the quality of latent: representations from pre-training. Collaborate with the post-training team to ensure pre-training delivers the world knowledge representation needed for the multitude of post-training tasks.
Develop methods to curate and effectively use diverse datasets in training.
What they're looking for
- Be a key contributor to technical roadmaps.
- MS or PhD in Computer Science or a similar discipline, or an equivalent amount of deep learning experience
- + years experience in Machine Learning and/or Computer Vision
- Fluent in Python
