Research Scientist
1 week ago
Meta was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Meta offers countless ways to make an impact in a fast growing organization. We are seeking Research Interns to join Meta’s Fundamental AI Research (FAIR) group. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as embodied AI, robotics (navigation, manipulation), AR/VR/MR, egocentric computer vision, grounded 3D perception, simulation and sim2real transfer, pre-training for embodied agents from offline data, digital agents, planning based LLMs, multi-agent coordination, and human-AI interaction. Candidates should have background knowledge from foundational areas such as deep learning, reinforcement learning, computational statistics, and applied mathematics. Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Responsibilities- Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence.
- Invent and/or improve novel data driven paradigms for embodied intelligence.
- Explore and conceptualize ways to leverage various data modalities (images, video, text, tactile, etc) and the roles they play in various levels of embodied reasoning and decision making.
- Enable long-horizon reasoning for Embodied AI tasks (navigation, mobile manipulation, instruction following, question answering, goal and intent prediction, egocentric activity recognition, collaboration with humans) in human environments given natural-language instructions.
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
- Publish research results and contribute to research that can be applied to Meta product development.
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