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Applied Scientist Intern (Recommendation AI Lab) - 2026 Start (PhD)

San Jose, California · Internship · Posted Oct 28, 2026

Education
Currently pursuing a PhD in Computer Science, Computer Engineering, or a related technical discipline.

About the job

Research and develop foundation-model-based recommendation and advertising systems, including intelligent ad placement and real-time training and inference.

What you'll do

  • Explore recommendation and advertising foundation-model scaling and unified multimodal modeling.
  • Build intelligent ad placement systems that balance long-term commercial value with user experience.
  • Optimize foundation-model training and online inference for computing costs and real-time performance.

What they ask for

  • Currently pursuing a PhD in Computer Science, Computer Engineering, or a related technical discipline.
  • Modeling experience in at least one of Ads, Search engine, Recommender System, or NLP/CV.
  • Solid foundation in LLM algorithms, including learning and practical experience with single-modal LLM application and deployment.

Nice to have

  • Relevant research results and practical experience in natural language processing, computer vision, data modeling, or algorithm optimization.
  • Strong programming skills in data structures and fundamental algorithms; C/C++ for traditional coding roles or Python for intelligent coding roles; publications at top conferences are a plus.

Tools

LLMs, C/C++, Python

AI focus

Research and build foundation models for recommendation and advertising, multimodal semantic modeling, intelligent ad placement, and optimized model training and inference.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 5, 2026 (UTC)