Drimva

Meta

Research Scientist Intern, Video Recommendations (PhD)

Bellevue, WA +1 · Internship · Posted Oct 22, 2026

Location
Bellevue, WA
Menlo Park, CA
Education
Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Natural Language Processing, Speech Recognition, Sentiment Analysis, Computer Vision, or a relevant technical field.
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

Research and develop machine-learning approaches to improve Facebook video recommendations, connecting product needs with scalable, high-quality systems.

What you'll do

  • Conduct research and develop novel NLP and machine-learning algorithms and systems.
  • Analyze and improve the efficiency, scalability, and stability of deployed systems.
  • Collaborate with research and cross-functional partners, communicate results, and contribute to publications and product development.

What they ask for

  • Currently has or is pursuing a Ph.D. in a named or relevant technical field.
  • Experience with Python, C++, C, Java, or another related language, and with deep-learning frameworks such as Pytorch or Tensorflow.
  • Familiarity with machine learning and common deep-learning architectures.
  • Must obtain and maintain work authorization in the country of employment; intends to return to the degree program after the internship.

Nice to have

  • Research or project experience in reinforcement learning, LLM pre-training and supervised fine-tuning, sequence modeling, diffusion models, or applications in recommendation systems.
  • Demonstrated research achievements, software development experience, and cross-functional communication skills.

Pay

$7,650/month to $12,667/month

Tools

Python, C++, C, Java, Pytorch, Tensorflow

AI focus

Research and build machine-learning systems for video recommendations, including NLP, deep learning, and recommendation applications.

Model-written summary · the original posting is authoritative

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