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Postdoctoral Researcher, Fundamental AI Research…
- Meta (Seattle, WA)
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Summary:
Meta is seeking a Postdoctoral Researcher to join Fundamental AI Research (FAIR), a research organization focused on making fundamental progress in AI. Individuals in this role are expected to conduct cutting-edge research in areas such as artificial intelligence, machine learning, computational statistics, and applied mathematics, particularly including topics such as deep learning, computer perception, natural language processing, representation learning, optimization, reinforcement learning, privacy in machine learning, security of AI systems, foundations of generative modeling, compression and information theory, 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:
Postdoctoral Researcher, Fundamental AI Research (PhD) Responsibilities:
1. Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results
2. Contribute to publications and open-sourcing efforts
3. Work with a large team
4. Help identify long-term ambitious research goals as well as intermediate milestones
5. Prioritize research that can be applied to Meta's product development
6. Mentor other team members. Play a significant role in healthy cross-functional collaboration
Minimum Qualifications:
Minimum Qualifications:
7. Currently has or is in the process of obtaining a PhD degree in Computer Science or a similar field. Degree must be completed prior to joining Meta.
8. Research background in machine learning, natural language processing, computer vision, computational statistics, applied mathematics, or related areas.
9. Track record of recent and consistent publications reflecting expertise in theoretical and/or empirical research.
10. Experience solving analytical problems using analytic and quantitative approaches.
11. Must obtain work authorization in country of employment at the time of hire and maintain ongoing work authorization during employment.
12. 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.
Preferred Qualifications:
Preferred Qualifications:
13. First-authored publications at peer-reviewed conferences (ICML, ICLR, NeurIPS, CVPR, ECCV, ICCV, ACL, NAACL, EMNLP, or similar).
14. Experience communicating research for public audiences of peers. Experience working and communicating cross functionally in a team environment.
15. Experience solving complex problems and comparing alternative solutions, trade-offs, and different perspectives to determine a path forward.
16. Research and engineering experience demonstrated via grants, fellowships, patents, internships, work experience, and/or coding competitions.
Public Compensation:
$117,000/year to $173,000/year + 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].
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