Research Scientist - Search/Recommendation/Ads - Global Frontier Tech Recruitment Program - 2027 Start (PhD)
Core
Developing state-of-the-art machine learning models and strategies to improve user consumption experience, specifically focusing on recommendation large models, unified multimodal semantic spaces, and agentic recommendation frameworks.
Role type
Research Scientist (Search/Recommendation/Ads)
Builds
Recommendation large models, unified multimodal semantic spaces, and agentic recommendation agents
Domain
AI, Machine Learning, Recommendation Systems, Multimodal Learning
Deliverable
production ML models
Required skills
Doctoral degree in AI/CS/Math, strong programming skills, data structures and algorithms, machine learning, deep learning, reinforcement learning, NLP, multimodal learning
Preferred skills
Publications in top-tier conferences (ACL, EMNLP, NeurIPS, ICML, ICLR, CVPR)
Technologies
Algorithmic and engineering frameworks
Responsibilities
Address gradient convergence and representation drift in ultra-long behavioral sequences, explore alignment across video, image-text content, and user intent, develop recommendation agents with self-reflection and long-horizon planning capabilities
Seniority
PhD level, Research Scientist
