Drimva

Meta

Research Scientist Intern, FAIR - Multimodal Foundations (PhD)

Bellevue, WA +4 · Internship · Posted Oct 20, 2026

Location
Bellevue, WA
Menlo Park, CA
Boston, MA
New York, NY
San Francisco, CA
Experience
No minimum number of years stated.
Education
Currently has or is in the process of obtaining a PhD in a listed field, or equivalent.
Visa sponsorship
Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment.

About the job

Conduct research on multimodal AI, developing and testing methods for machines to understand text, audio, images, video, and other data, and communicate findings that may support Meta products.

What you'll do

  • Review research, develop prototypes, and run experiments against meaningful benchmarks.
  • Analyze results, verify conclusions, and draft or polish research reports and publications.
  • Present research outcomes and contribute research applicable to Meta products.

What they ask for

  • Currently pursuing or already holds a PhD in Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent.
  • Research or work experience in LLMs, Speech Processing, Computer Vision, Machine Learning, Deep Learning, or equivalent.
  • Experience with Python, C++, or other related languages.
  • Must obtain and maintain work authorization in the country of employment; intends to return to the degree program after the internship.

Nice to have

  • Track record of significant results, such as grants, fellowships, patents, or publications at leading AI conferences.
  • Experience advancing AI, analyzing large-scale complex data, applying theoretical and empirical research, and working cross-functionally.

Pay

$7,650/month to $12,667/month (base salary)

Tools

Python, C++

AI focus

Fundamental multimodal AI research, including frontier model training, transfer learning, multimodal understanding, reasoning and generation, generative modeling, and modeling for the physical world.

Model-written summary · the original posting is authoritative

First seen Oct 23, 2026 · Last verified Nov 5, 2026 (UTC)