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$184k–$257k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity, Health Insurance
Posted 1d ago
~40 hrs/week
Responsibilities
The role involves conducting foundational research to advance physical AI capabilities, including the development of robotic hardware and engineering designs. Responsibilities include integrating large-scale simulations into LLM post-training and exploring novel reinforcement learning paradigms.
Requirements
Candidates must hold a PhD in Artificial Intelligence, Physical AI, or a related field, along with research experience in areas like robotics or reinforcement learning. Proficiency in C/C++, Python, and deep learning frameworks is required, alongside the ability to maintain ongoing work authorization.
Full job description
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
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
Minimum Qualifications
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
Preferred Qualifications
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
$184,000/year to $257,000/year + bonus + equity + benefits
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive and intelligent experiences like virtual reality, wearables and AI to help build the next evolution in social technology.
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Offices: 1 Hacker Way, Menlo Park, CA 94025, US · 661 University Ave, Toronto, ON M5G 1M1, CA · 300 W 6th St, Austin, TX 78701, US · 77 King St, Sydney, NSW 2000, AU · 1101 Dexter Ave N, Seattle, WA 98109, US
Meta's mission is to build the future of human connection and the technology that makes it possible.
Our technologies help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive and intelligent experiences like virtual reality, wearables and AI to help build the next evolution in social technology.
To help create a safe and respectful online space, we encourage constructive conversations on this page. Please note the following:
• Start with an open mind. Whether you agree or disagree, engage with empathy.
• Comments violating our Community Standards will be removed or hidden. Please treat everybody with respect.
• Keep it constructive. Use your interactions here to learn about and grow your understanding of others.
• Our moderators are here to uphold these guidelines for the benefit of everyone, every day.
• If you are seeking support for issues related to your Facebook account, please reference our Help Center (https://www.facebook.com/help) or Help Community (https://www.facebook.com/help/community).
For a full listing of our jobs, visit https://www.metacareers.com
Offices: 1 Hacker Way, Menlo Park, CA 94025, US · 661 University Ave, Toronto, ON M5G 1M1, CA · 300 W 6th St, Austin, TX 78701, US · 77 King St, Sydney, NSW 2000, AU · 1101 Dexter Ave N, Seattle, WA 98109, US