Research Scientist Intern - Physical Engineering AI
MetaAdded 3h ago
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Quick summaryby newgrad.ai
What you'll do
- Develop foundational AI for physical engineering and hardware design.
- Perform large-scale data processing and integrate complex simulation environments.
- Create new algorithms for robotic, semiconductor, and vehicle engineering.
What they're looking for
- Background in mechanical, electrical, aerospace, or civil engineering.
- Experience with reinforcement learning, LLM post-training, and 3D computer vision.
- Proficiency in self-supervised learning and representation learning techniques.
Pay and perks
- Internship durations range from 12 to 24 weeks.
- Flexible start dates available throughout the year.
Meta's Fundamental AI Research (FAIR) lab is seeking Research Interns to join our team, which drives foundational research aimed at advancing physical engineering AI capabilities. Our goal is to generate advanced engineering designs such as robotic hardware, vehicles, and novel semiconductors. This internship involves heavy software research engineering, including large-scale data manipulation and simulator integration. Our interns have the opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale.
We're especially interested in candidates with expertise across physical engineering (mechanical, electrical and aerospace engineering) design, simulation, reinforcement learning, and LLM post-training, including:
- Novel post-training paradigms for LLMs using reinforcement learning
- LLM post-training recipes using 3D data
- Integration of large-scale simulation into LLM post-training
- Computer vision (3D), representation learning, and self-supervised learning
- Modeling for the physical world across mechanical, aerospace, civil, and other engineering domains
Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year. To learn more about our research, visit https://ai.meta.com/research/.
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