Research Scientist Graduate (TikTok Recommendation-Agentic AI) - 2026 Start (PhD)
Core
Design reinforcement learning datasets, optimize RL algorithms, and research agentic recommendation systems and generative models for TikTok's recommendation engine.
Role type
Research Scientist (Reinforcement Learning & Agentic AI)
Builds
Scalable training and inference frameworks for next-generation recommender systems
Domain
Recommendation Systems, Reinforcement Learning, Large Language Models
Deliverable
production ML models
Required skills
Reinforcement Learning, Agent Development, LLM Post-training, Dataset Construction, Algorithm Optimization, Research Translation
Preferred skills
Publications in top-tier AI conferences, Experience with RL/Agent-based systems, LLM alignment expertise
Technologies
Multimodal Large Language Models (MLLMs), Reinforcement Learning frameworks
Responsibilities
Design and construct reinforcement learning datasets tailored for recommendation scenarios; Explore and optimize reinforcement learning algorithms; Develop scalable training and inference frameworks; Conduct research on agentic recommendation systems and generative recommendation models
Seniority
Graduate Researcher (PhD)
