Summary:

Meta is seeking a Research Scientist to join the Fundamental AI Research organization (FAIR), a research organization focused on making significant progress in AI. As a Research Scientist on the Embodied AI team at FAIR, you will be part of an innovative group of research scientists and engineers working on cutting-edge AI technologies for robotics, AR, and VR, and sharing this research with the world. You will be responsible for pushing the state of the art in dexterous robot manipulation, by developing novel representation learning algorithms to improve a robot’s sense of touch.

Required Skills:

Research Scientist, Embodied AI (PhD) Responsibilities:

1. Conduct research and develop state-of-the-art AI approaches for dexterous robot manipulation that leverages rich sensing capabilities on robot hands.

2. Design and conduct experiments, analyze data, and document the findings in the form of technical reports and publications.

3. Collaborate with the broader team of researchers on the project, and influence project direction based on your area of expertise and experimental findings.

4. Write high quality, readable code that can be used and built upon by team members.

Minimum Qualifications:

Minimum Qualifications:

5. Currently has or is in the process of obtaining a PhD degree in the field of Robotics, Artificial Intelligence, a related field, or equivalent practical experience. Degree must be completed prior to joining Meta.

6. Research experience in representation learning, self-supervised learning, transfer learning, robotic manipulation, tactile sensing.

7. Experience with machine learning models, and frameworks such as PyTorch, TensorFlow, etc.

8. Experience with programming languages such as Python, C++, or similar.

9. Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience. Degree must be completed prior to joining Meta.

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

Preferred Qualifications:

Preferred Qualifications:

11. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), or Computer Vision (CVPR, ICCV, ECCV).

12. Experience working with multi-fingered robot hands, in simulation and/or on real hardware.

13. Experience with leveraging tactile sensing to improve the dexterity of robot manipulation.

14. Familiarity with robotics frameworks such as ROS.

15. Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub).

16. Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.

17. Experience working and communicating cross functionally in a team environment.

Public Compensation:

$117,000/year to $173,000/year + bonus + equity + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do 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 accommodations-ext@fb.com.