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Applied Scientist Intern - Monetization Technology - Global Frontier Tech Recruitment Program - 2027 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 advertising and recommendation systems, including intelligent ad placement and efficient training and inference.
What you'll do
- Explore foundation-model scaling laws and build unified multimodal recommendation models.
- Develop ad placement systems optimized for long-term user value and return on ad spend.
- Improve foundation-model training and online inference to balance computing costs with 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 area: Ads, Search engine, Recommender System, NLP/CV.
- Solid foundation in LLM algorithms, including learning and practical experience with single-modal LLM applications and deployment.
Nice to have
- Relevant research results and practical experience in NLP, computer vision, data modeling, or algorithm optimization.
- Strong programming, data structures, and algorithm skills; C/C++ for traditional coding roles or Python for intelligent coding roles. Top-conference publications are a plus.
Tools
Large Recommender Models, Large Language Models (LLMs), C/C++, Python
AI focus
Develop foundation models for advertising and recommendation, intelligent ad placement, and generative technologies across retrieval, ranking, creative generation, and bidding.
Model-written summary · the original posting is authoritative