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Summary:

Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team, one of the top industrial AI research organizations in the world. Come join FAIR's efforts to build world models, learning to understand and make predictions about the physical world, especially from video, and develop efficient algorithms for world model-based planning and control.Our team is driving an ambitious agenda to train and use world models for embodied and wearable agents. We innovate across related topics including self-supervised learning from video (e.g., joint-embedding predictive architectures/JEPAs), predictive models, model-based reinforcement learning and model-predictive control. We accomplish this by advancing research across the stack, including data curation, training large-scale state-of-the-art models, and designing robust benchmarks. We are looking for Research Scientists who share our passion for building efficient, scalable, and robust models of the world that will be part of the next paradigm in AI models.

Required Skills:

Fundamental AI Research Scientist, Physical World Models, FAIR Responsibilities:

1. Leading, collaborating, and executing on research that pushes forward the state of the art in artificial intelligence

2. Performing research that enables learning the semantics of data (images, video, text, audio, and other modalities)

3. Working towards long-term research goals, while identifying immediate milestones

4. Influencing progress of relevant research communities by producing publications

5. Collaborating with scientists and engineers in a large cross-functional team

6. Open source high quality code and produce reproducible research

Minimum Qualifications:

Minimum Qualifications:

7. 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

8. PhD degree in AI, computer science, data science, or related technical fields

9. First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, CVPR, ICCV, CoRL, or similar

10. Research background in machine learning, artificial intelligence, computational statistics, applied mathematics, or related areas

11. Experience coding software and executing complex experiments

12. Experience with Python and PyTorch

Preferred Qualifications:

Preferred Qualifications:

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

14. 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), and Computer Vision (CVPR, ICCV, ECCV).

15. Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward.

16. Experience collaborating in a team environment on research projects

17. Experience building systems based on machine learning and/or deep learning methods.

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

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 [email protected].