Applied Scientist Intern - Monetization Technology - Global Frontier Tech Recruitment Program

About the job

We are looking for talented individuals to join us for an internship in 2027. PhD Internships at our Company aim to provide students with the opportunity to actively contribute to our products and research, and to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and development events, and collaboration with industry experts.

Responsibilities

1. Explore scaling laws for foundation models in recommendation and advertising, and build a foundation model based on unified multimodal semantic modeling.

2. Build an intelligent ad placement system optimized for users' Long-Term Value (LTV) and long-term ROAS, achieving an optimal balance between commercial value and user experience.

3. Optimize the full-process training and online inference framework for foundation models, balance computing power costs and real-time response performance, and resolve the performance-latency trade-off in real-world deployment.

Qualifications

Minimum

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

2. Modeling experience in one or more of the areas: Ads, Search engine, Recommender System, NLP/CV.

3. Have a solid foundation in algorithms related to LLMs, including but not limited to comprehensive learning and practical experience in areas such as single-modal LLM application and deployment.

Preferred

1. Priority will be given to candidates with research results and extensive practical relevant fields, such as outstanding performance in natural language processing, computer vision, data modeling, or algorithm optimization, etc.

2. Excellent programming abilities with a strong command of data structures and fundamental algorithms. For traditional coding roles, proficiency in C/C++ is required; for intelligent coding roles, proficiency in Python is required.