2 hours ago
Base Salary
$251k - $310k/yr
Responsibilities
- Train multi-billion-parameter spatio-temporal foundation models on multi-billion-frame datasets.
- Deliver pre-trained models for production use, ideally in real-time systems.
- Develop self-supervised learning methods for image/video encoders, 3D point cloud encoders, spatio-temporal reconstruction or future prediction, and vision-language contrastive learning.
- Develop multi-teacher distillation recipes.
- Evaluate latent representation quality and collaborate with post-training teams on world knowledge representations.
- Develop methods to curate and effectively use diverse training datasets.
- Contribute to technical roadmaps.
Requirements
- MS or PhD in Computer Science or a similar discipline, or an equivalent amount of deep learning experience.
- At least 5 years of experience in Machine Learning and/or Computer Vision.
- Fluency in Python.
- In-depth experience with machine learning frameworks such as PyTorch or JAX.
- Preferred: publications at top-tier conferences including CVPR, ICCV, ECCV, ICLR, ICML, ICRA, RSS, NeurIPS, AAAI, IJCV, or PAMI.
- Preferred: experience with C++.
- Preferred: experience with real-time system design.
Benefits
- Eligible employees may participate in a discretionary annual bonus program and equity incentive plan.
- Generous company benefits program, subject to eligibility requirements.
- Full-time position; salary range and potential remote-location details vary by work location.
Categories
AI ResearchML Engineering
About Waymo
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