研究科学家实习生，FAIR - 物理工程AI

Meta（Meta Platforms）岗位：Research Scientist Intern, FAIR - Physical Engineering AI (PhD) 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.

Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem.

Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions.

Draft and polish research reports and/or publications.

Present research outcomes to internal and/or external audiences.

Contribute research that can be applied to Meta product development.

Currently has or is in the process of obtaining a PhD degree in Artificial Intelligence, Physical AI, Computer Vision (3D), Machine Learning, Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, relevant technical field, or equivalent practical experience

Research and/or work 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

Must obtain work authorization in the 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,

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

Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources

Meta builds technologies that 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 experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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Individual compensation is determined by skills, qualifications, experience, and location.

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Currently has or is in the process of obtaining a PhD degree in Artificial Intelligence, Physical AI, Computer Vision (3D), Machine Learning, Computer Science, Computer Engineering, Mechanical Engineering, Electrical Engineering, a relevant technical field, or equivalent practical experience.