Fundamental AI Research Scientist – FAIR

Summary:

Meta is seeking a Research Scientist to join the Fundamental AI Research (FAIR) team, a research organization focused on advancing the state-of-the-art in AI. Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, computational linguistics, and applied mathematics, particularly including topics such as deep learning, reinforcement learning, representation learning, multimodality, multilingual language models, AI safety, foundations of generative modeling and social implications of AI. The ideal candidate will have a keen interest in producing new science to understand intelligence and technology towards achieving advanced machine intelligence.

Required Skills:

Fundamental AI Research Scientist – FAIR Responsibilities:

1. Perform research to advance the science and technology of intelligent machines.

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

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

4. Influence progress of relevant research communities by producing publications.

5. Open source high quality code and produce reproducible research.

Minimum Qualifications:

Minimum Qualifications:

6. Bachelors degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

7. A PhD in AI, computer science, data science, or related technical fields.

8. Experience holding an industry, postdoctoral, faculty, or government researcher position.

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

10. Research publications reflecting experience in theoretical or empirical research.

11. 2 years of Experience holding an industry, faculty, or government researcher position.

Preferred Qualifications:

Preferred Qualifications:

12. Research and engineering experience demonstrated via publications, grants, fellowships, patents, internships, work experience, open source code, and / or coding competitions.

13. First-authored publications at peer-reviewed conferences, such as ICML, NeuRIPS, ICLR, ACL, EMNLP, CVPR, FacCT, CCS, IEEE S&P, and other similar venues.

14. Experience solving complex problems and comparing alternative solutions, trade-offs, and diverse points of view.

15. Experience collaborating in a team environment on research projects.

16. Experience communicating research findings to public audiences of peers.

Public Compensation:

$143,000/year to $208,000/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.