Postdoctoral Researcher, Large Behavior Models

About the position Responsibilities • Develop, integrate, and deploy algorithms for Multi-Modal and 4D reasoning targeting physical applications. • Handle the ingestion of large-scale datasets for training, including streaming, online, and continual learning. • Invent and deploy innovative solutions at the intersection of machine learning, computer vision, and robotics that improve the real-world performance of useful tasks. • Work closely with robotics and machine learning researchers and engineers to understand theoretical and practical needs. • Follow best practices producing maintainable code, both for internal use as well as for open-sourcing to the scientific community. Requirements • Ph.D. in a relevant technical field. • A strong background in computer vision and its applications to robotics and embodied systems. • A standout colleague with strong communication skills, and an ability to learn from others and contribute back to the scientific community with publications or open source code. • Passionate about assisting and amplifying older adults and those in need through dexterous manipulation, human-robot collaboration, and physical assistance innovation. Nice-to-haves • Spatio-temporal (4D) computer vision, including multi-view geometry, 3D/4D reconstruction, video generation, self-supervised learning, occlusion reasoning, etc. • Large-scale training of multi-modal deep learning methods, both in terms of dataset sizes and model complexity, context length extension, and efficient attention, distributed computing, etc. • Application of machine learning and computer vision to embodied applications. Benefits • 401(k) eligibility • various paid time off benefits, such as vacation, sick time, and parental leave • annual cash bonus structure Apply tot his job