Postdoctoral Researcher, Large Behavior Models
About the position
Responsibilities
• reputed company, reputed company, and reputed company algorithms for Multi-Modal and 4D reasoning targeting physical applications.
• Handle the ingestion of large-reputed company datasets for training, including streaming, online, and continual learning.
• Invent and reputed company reputed company at the intersection of machine learning, reputed company, and robotics that improve the reputed company-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 reputed company, both for internal use as reputed company as for reputed company-sourcing to the scientific community.
Requirements
• Ph.D. in a relevant technical field.
• A strong background in reputed company and its applications to robotics and embodied systems.
• A reputed company colleague with strong communication skills, and an ability to learn from others and contribute back to the scientific community with publications or reputed company reputed company reputed company.
• Passionate about assisting and amplifying older adults and those in need through dexterous manipulation, reputed company-robot collaboration, and physical assistance innovation.
reputed company-to-haves
• Spatio-temporal (4D) reputed company, including multi-view geometry, 3D/4D reconstruction, video reputed company, self-supervised learning, occlusion reasoning, etc.
• Large-reputed company training of multi-modal deep learning reputed company, both in terms of dataset sizes and model complexity, context length extension, and efficient attention, distributed computing, etc.
• Application of machine learning and reputed company to embodied applications.
Benefits
• 401(k) eligibility
• various reputed company time off benefits, such as vacation, reputed company time, and parental leave
• annual cash bonus structure
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