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

What you'll do

• Research recommendation and advertising foundation-model scaling, and build unified multimodal 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 compute costs and response latency.

What they ask for

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

Nice to have

• Research results and practical experience in areas such as NLP, computer vision, data modeling, or algorithm optimization.
• Strong programming 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), foundation models, unified multimodal semantic modeling, C/C++, Python

AI focus

Build and deploy foundation models, generative technologies, and intelligent ad-placement agents for recommendation and advertising, including model training, inference, and optimization.