Meta
Research Scientist Intern, Foundational Models for Robotics Research (PhD)
Found: Today
Research Scientist Intern, Foundational Models for Robotics Research (PhD)
Meta is seeking Research Interns to join our Reality Labs in the Robotics Research team. We are committed to advancing the fields of artificial intelligence and robotics by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in areas such as generative modeling, reinforcement learning, robotics, and foundational models.
Responsibilities
- Develop novel state-of-the-art generative AI algorithms and corresponding systems, leveraging various deep learning techniques to robotics.
- Help analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms.
- Perform research to advance the science and technology of intelligent machines.
- Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
- Disseminate research results.
- Contribute to research that can be applied to Meta product development.
Minimum Qualifications
- Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Generative AI, Robotics, or relevant technical field
- Experience with Python, C++, C, or other related languages
- Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
- Experience building systems based on machine learning and/or deep learning methods
Preferred Qualifications
- Intent to return to the degree program after the completion of the internship/co-op
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences
- Experience working and communicating cross functionally in a team environment
- Experience in advancing AI techniques, including core contributions to open source libraries and frameworks