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About the Role
Meta's Fundamental AI Research lab is seeking a Research Scientist to drive foundational research aimed at advancing physical AI capabilities. This role will involve heavy software research engineering, such as large-scale data manipulation and simulator integration.
Responsibilities
- Explore and develop novel post-training paradigms for LLMs using reinforcement learning
- Explore and develop novel LLM post-training recipes using 3D data
- Integrate large-scale simulation into LLM post-training
- Explore mechanical, aerospace, civil, and other engineering disciplines and how to enable LLMs to solve key problems in these domains
Requirements
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Currently has or is in the process of obtaining a PhD degree in Artificial Intelligence, Physical AI, Computer Vision (3D), Machine Learning, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta
- Research experience in at least one of the following research areas: physical AI, simulation, reinforcement learning, representation learning, self-supervised learning, multimodal learning, robotics policy development, computer vision (3D), egocentric perception, embodied AI and/or LLMs, control theory, optimization algorithms
- Experience in C/C++ and Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
- Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment
- Experience integrating and debugging prototype/scientific software-hardware systems including mechanical, aerospace, or civil engineering domain-specific simulation
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, AAAI, JMLR and Computer Vision (CVPR, ICCV, ECCV, TPAMI)
- Prior work experience in the fields of mechanical, aerospace, civil engineering or other engineering domains
- Experience working and communicating cross-functionally in a team environment
Skills
- Physical AI
- Simulation
- Reinforcement Learning
- Representation Learning
- Self-supervised Learning
- Multimodal Learning
- Robotics Policy Development
- Computer Vision (3D)
- Egocentric Perception
- Embodied AI
- LLMs
- Control Theory
- Optimization Algorithms
- C/C++
- Python
- PyTorch
- TensorFlow
- Large-scale data manipulation
- Simulator integration
Education Level
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- PhD degree in Artificial Intelligence, Physical AI, Computer Vision (3D), Machine Learning, relevant technical field, or equivalent practical experience
Salary/Compensations
- $184,000/year to $257,000/year
Benefits
- bonus
- equity
- benefits
About the Company
- Meta's Fundamental AI Research lab is seeking a Research Scientist to drive foundational research aimed at advancing physical AI capabilities.
- We seek to generate advanced engineering designs such as robotic hardware, vehicles, and novel semiconductors.