AI Research Scientist, Physical AI

Meta; Menlo Park (CA); On-site; USD 184,000 - 257,000; Full time

Job summary

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.

This role will involve heavy software research engineering, such as large-scale data manipulation and simulator integration. Responsibilities include exploring new post-training paradigms for LLMs with reinforcement learning, developing 3D

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• PhD in Artificial Intelligence, Physical AI, Computer Vision (3D), ML or related field preferred.
• Experience with deep learning frameworks (PyTorch, TensorFlow).

Responsibilities

• Explore post-training paradigms for LLMs using RL.
• Develop LLM post-training recipes using 3D data.
• Integrate large-scale simulation into LLM post-training.
• Bridge mechanical, aerospace, civil engineering domains with AI.

Skills

C/C++

Python

Deep learning frameworks

Research RL/3D data

Simulation integration

Education

Bachelor's in CS/CE or equivalent

PhD in AI/Physical AI/ML/3D CV or equivalent

Tools

PyTorch

TensorFlow

Simulation tools

Job description

Summary:

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. This role will involve heavy software research engineering, such as large-scale data manipulation and simulator integration.

Required Skills:

AI Research Scientist, Physical AI Responsibilities:

1. Explore and develop novel post-training paradigms for LLMs using reinforcement learning

2. Explore and develop novel LLM post-training recipes using 3D data

3. Integrate large-scale simulation into LLM post-training

4. Explore mechanical, aerospace, civil, and other engineering disciplines and how to enable LLMs to solve key problems in these domains

Minimum Qualifications:

Minimum Qualifications:

1. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

2. 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

3. 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

4. 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

5. Experience in C/C++ and Python and deep learning frameworks (e.g., PyTorch, TensorFlow)

6. Must obtain work authorization in country of employment at the time of hire, and maintain ongoing work authorization during employment

Preferred Qualifications:

Preferred Qualifications:

1. Experience integrating and debugging prototype/scientific software-hardware systems including mechanical, aerospace, or civil engineering domain-specific simulation

2. 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)

3. Prior work experience in the fields of mechanical, aerospace, civil engineering or other engineering domains

4. Experience working and communicating cross-functionally in a team environment

Public Compensation:

$184,000/year to $257,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affiniti... Meta does not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [e-mail].