Agent算法专家-Commercial AI
Core
Research and implement advanced agent technologies (planning, memory, data synthesis, evaluation, user simulation) and multi-modal capabilities (RAG, COT, Reward models, RL) for commercial AI in recommendation and advertising.
Role type
Senior Research Scientist (Agent & Multi-modal AI)
Builds
Next-generation commercial AI models for transaction and advertising scenarios
Domain
Internet Advertising & Recommendation Systems
Deliverable
production ML models
Required skills
Machine Learning, Computer Vision, AIGC, NLP, Reinforcement Learning, C/C++, Python, Data Structures, Algorithm Design
Preferred skills
Agent research experience, Multi-modal AI expertise, Top-tier conference publications (ACL, CVPR, NeurIPS, etc.), Competitive programming awards (ACM/ICPC, Kaggle)
Responsibilities
Explore frontier technologies in agent planning, memory, and data synthesis; Develop multi-modal advanced capabilities; Deploy research into high-scale commercial scenarios; Solve long-term key challenges in intelligent agent domains
Seniority
Senior, hands-on IC
