Agent算法实习生（J97505）
Core
Develop self-evolving decision Agent systems for prediction and optimization in complex industrial scenarios.
Role type
Intern, algorithm engineer (RL/optimization/LLM Agents)
Builds
Decision-making frameworks (Planner/Solver/Evaluator/Memory) and strategy evaluation modules
Domain
Industrial automation, complex system optimization, AI
Deliverable
production ML models
Required skills
Python engineering, Reinforcement Learning (RL/MARL), Evolutionary algorithms, LLM Agent frameworks, Algorithm modeling, System implementation
Preferred skills
Research experience, Competition experience, Self-driven learning
Technologies
Python, Reinforcement Learning, Evolutionary Algorithms, LLM frameworks
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