Meta
Research Scientist Intern, AI Core Machine Learning (PhD)
Sunnyvale, CA +2 · Internship · Posted Oct 22, 2026
- Location
- Sunnyvale, CA
Bellevue, WA
Seattle, WA - Education
- Ph.D. in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, or a related technical field; currently has or is in the process of obtaining.
- Visa sponsorship
- Must obtain work authorization in the country of employment by hire and maintain it during employment.
About the job
Conduct and publish machine learning and AI research, develop algorithms and systems, and improve their efficiency, scalability, and stability for applications including monetization ranking and personalized advertising.
What you'll do
- Conduct research and develop novel AI/ML algorithms and systems.
- Analyze and improve deployed algorithms; collaborate with researchers and engineers across disciplines.
- Publish research and contribute to work applicable to Meta products.
What they ask for
- Currently has or is pursuing a Ph.D. in a listed or related technical field.
- Experience with deep learning frameworks such as Pytorch or Tensorflow, and with Python, C++, C, Java, or related languages.
- Research and system-building experience using machine learning and/or deep learning methods.
- Must obtain and maintain work authorization in the country of employment; intends to return to degree program after internship.
Nice to have
- Research achievements such as first-authored publications at leading workshops or conferences, grants, fellowships, or patents.
- Software engineering experience and experience analyzing large-scale, high-volume data.
Pay
$7,650/month to $12,667/month (currency not stated; pay basis not specified)
Tools
Pytorch, Tensorflow, Python, C++, C, Java
AI focus
Research and develop AI/ML methods and systems, including work related to ranking, retrieval, representation learning, optimization, and personalized ads.
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