AI Research Scientist - Monetization AI at Meta
New York, New York, USA -
Full Time


Start Date

Immediate

Expiry Date

25 Oct, 25

Salary

251000.0

Posted On

25 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Training, Fine Tuning

Industry

Information Technology/IT

Description

Meta is seeking Research Scientists to join its Generative AI (GenAI) organization, focused on making significant advances in AI. We work on the flagship Llama language models and publish state-of-the-art research in Machine Learning.We are currently seeking talented researchers with experience in Language Research to join and work with us on extending the capabilities of large foundation models. Researchers will drive impact by: (1) open sourcing high quality code and reproducible results for the community, and (2) bringing the latest research to Facebook products for connecting billions of users, (3) pushing for state-of-the-art research and publishing papers and technical reports. The chosen candidate(s) will work with a broad and highly interdisciplinary team of scientists, engineers, and cross-functional partners, and will have access to cutting edge technology, resources, and research facilities.

MINIMUM QUALIFICATIONS:

  • First-author publications at peer-reviewed AI conferences (e.g. *ACL, EMNLP, NeurIPS, ICML, ICLR)
  • Experience in training, fine-tuning, and/or experimenting with foundation models beyond black-box use
  • Familiarity with one or more deep learning frameworks (e.g. pytorch, tensorflow, …)
  • Experience to communicate complex research for public audiences of peers
  • Knowledge in a programming language
Responsibilities
  • Work towards long-term ambitious research goals, while identifying intermediate milestones
  • Influence progress of relevant research communities by producing publications, technical reports, and open source code
  • Contribute research that can be applied to Meta product development
  • Lead and collaborate on research projects within a globally based team
Loading...