豆包大模型算法研究员（Data AML） - 火山方舟
Core
Researching and optimizing core intelligence capabilities for Large Language Model (LLM) Agents to handle complex, autonomous tasks in real-world productivity scenarios.
Role type
Senior Research Scientist (LLM Agents & Reinforcement Learning)
Builds
Autonomous Agents for high-value tasks including coding, data analysis, search, and long-horizon planning.
Domain
Artificial Intelligence / Large Language Models / Reinforcement Learning
Deliverable
production ML models
Required skills
Reinforcement Learning, LLM Agent development, Python, System debugging, Experimental design, Data analysis, Trajectory generation, Reward modeling, Self-improvement algorithms
Preferred skills
Publications in NeurIPS/ICML/ICLR/ACL/EMNLP, Experience in ACM/ICPC/Top Coder/Kaggle competitions
Technologies
Python, LLM frameworks, Reinforcement Learning libraries
Responsibilities
Explore and enhance Agent capabilities for General and Coding scenarios; Optimize planning, tool use, context management, and verification; Develop training methods including RL and self-improvement; Construct scalable task environments from real workflows; Analyze execution trajectories to close the loop on model optimization.
