Meta

Research Scientist Intern, Language and Multimodal Research (PhD)

Menlo Park, CA

Found: November 20, 2025

This internship is based in Menlo Park, CA and focuses on advancing artificial intelligence technologies.

Compensation:

$7,650 to $12,134 per month + benefits

Responsibilities:

  • Develop novel generative AI algorithms using deep learning techniques.
  • Analyze and improve the efficiency and scalability of algorithms.
  • Conduct research to advance intelligent machine technologies.
  • Collaborate with researchers and communicate research plans and results.
  • Disseminate research findings and contribute to product development when applicable.

Minimum Qualifications:

  • Currently pursuing or obtained a Ph.D. in Computer Science, AI, or relevant field.
  • Experience with programming languages such as Python, C++, C, or Java.
  • Work authorization in the country of employment.
  • Experience building systems based on machine learning or deep learning methods.

Preferred Qualifications:

  • Intent to return to degree program after internship.
  • Track record of significant results in AI research.
  • Experience in cross-functional team environments.

Get jobs like this in your inbox daily

Fresh FAANG jobs, every day, filtered for your role and location.

Apple Google Amazon Meta OpenAI Microsoft Nvidia Stripe TikTok Netflix Uber Airbnb Booking Spotify Canva Pinterest
or use email

Similar Big Tech Jobs - Posted in the Past 24h

🎵 TikTok

Product Development Business Management Project Intern (TikTok Shop - US Operation) - 2026 Start (BS/MS)

Seattle
Stanislav Prigodich

Hey, I'm Stan

Software Developer & Creator of Top Jobs Today

I'm a software developer, and over time I realized I cared mostly about roles at big tech companies - not just whatever happened to show up on LinkedIn or generic job boards. But those sources weren't enough - some roles were delayed, or never posted at all.

So I built this website to solve that. It scrapes fresh job postings directly from official company sites, figures out what kind of roles they really are, and sends them as email alerts - simple, fast, and focused.

Hope it makes your search easier too. Wishing you the best of luck - and I'm really glad you're here!