Applied Scientist - Monetization Technology - Global Frontier Tech Recruitment Program - 2027 Start (PhD)

What you'll do

• Explore recommendation and advertising foundation-model scaling laws and build unified multimodal models.
• Develop ad placement systems optimized for long-term user value and ROAS while balancing commercial value and user experience.
• Improve foundation-model training and online inference to balance compute costs with real-time performance.

What they ask for

• Completing or recently completed a PhD in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
• Modeling experience in at least one of Ads, Search engine, Recommender System, NLP/CV.
• Solid LLM algorithm foundation, including learning and practical experience with single-modal LLM application and deployment.
• Strong publication record at top conferences, such as ICLR, NeurIPS, ICML, ACL, EMNLP, CVPR, ICCV, or ECCV.

Tools

Large Recommender Models, Large Language Models (LLMs), foundation models, unified multimodal semantic modeling, NLP/CV, AIGC

AI focus

Research and develop foundation models for advertising and recommendation, including scaling laws, multimodal modeling, intelligent ad placement, and model training and inference.