Staff Tech Lead, Perception, Pre-training & Distillation

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.

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

5+ years experience in Machine Learning and/or Computer Vision

Fluent in Python

In-depth experience with ML frameworks like PyTorch or JAX

Publications at top-tier conferences like CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, PAMI

Experience with C++

Experience with real-time system design

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.