Meta
ML Innovation for Products, PhD Research Intern
Sunnyvale, CA +1 · Internship · Posted Oct 28, 2026
- Location
- Sunnyvale, CA
Menlo Park, CA - Education
- Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Artificial Intelligence, Computer Science, Information or Multimedia Retrieval, Computer Vision, Natural Language Processing, Reinforcement Learning, Optimization, Computational Statistics, Applied Mathematics, or related technical fields.
- 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 applied machine learning research and develop, evaluate, and scale algorithms and systems for Meta’s ads retrieval, ranking, and recommendation products.
What you'll do
- Conduct research and develop novel ML algorithms and systems, including using LLMs and agentic pipelines.
- Improve the efficiency, scalability, and stability of deployed algorithms; collaborate across disciplines and communicate research progress.
- Publish research and contribute to work applicable to Meta products.
What they ask for
- Currently pursuing or obtaining a Ph.D. in a listed or related technical field.
- Experience with deep learning frameworks such as Pytorch or Tensorflow and with a programming language such as Python, C++, C, or Java.
- Research and system-building experience using machine learning or deep learning; intent to return to the degree program after the internship.
- Must obtain and maintain work authorization in the country of employment; demonstrated research record, software engineering experience, quantitative problem-solving, large-scale data analysis, and cross-functional communication.
Pay
$7,650/month to $12,667/month (base salary)
Tools
Pytorch, Tensorflow, Python, C++, C, Java, LLMs
AI focus
Research and build ML systems for ads recommendation, including memory-based models, billion-node graph learning, LLM and multimodal fusion, agentic AI, and reinforcement learning.
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