大模型Agent推荐算法研发工程师（推荐智能体方向） - TikTok短视频
Core
Design and implement LLM-based Agents to automate recommendation algorithm R&D tasks, including requirement analysis, data exploration, feature/model diagnosis, experiment generation, and result attribution.
Role type
Senior IC Machine Learning Engineer (LLM Agents for Recommendation)
Builds
End-to-end automated R&D workflows integrating with data platforms, experiment systems, and model training pipelines.
Domain
Recommendation Systems / Large Language Models / AI Engineering
Deliverable
production ML models
Required skills
Python, Large Language Models, Agent Systems, Recommendation Algorithms, RAG, Prompt Engineering, Model Fine-tuning, Experiment Design, Data Analysis, System Integration
Preferred skills
Production-level Agent/Copilot experience, Search/Ad algorithms, RLHF, Open-source contributions, 0-to-1 technology launch
Technologies
Python, LLM frameworks, Experiment platforms, Data platforms
Responsibilities
Design and build Agents for algorithm R&D tasks; Integrate Agents into existing R&D pipelines; Establish evaluation metrics for Agent correctness and efficiency; Research LLM application methods (RAG, SFT, reasoning); Collaborate with algorithm and product teams to solve real R&D pain points.
Seniority
Senior, hands-on IC
