2027AIDU-智能体算法研究员(J102506)
Core
Research and develop production-grade agent systems for high-value industrial decision-making tasks, focusing on operations research optimization, marketing strategy, and scientific algorithm experiments.
Role type
Senior Research Scientist (Agent Algorithms & Operations Research)
Builds
Production-level Agent systems with closed-loop strategy evolution for complex business decisions
Domain
Artificial Intelligence, Operations Research, Strategic Decision Making
Deliverable
production ML models
Required skills
Operations research optimization, Reinforcement learning, Constraint solving, Heuristic search, Program synthesis, Algorithm evolution, Python engineering, Experimental design
Preferred skills
Multi-agent collaboration, Large model reasoning, Automated parameter tuning
Responsibilities
Design and implement agent architectures for task decomposition, strategy generation, and tool invocation; Build auditable evaluation systems including task evaluators and failure mode analysis; Explore self-evolution mechanisms combining search algorithms and optimization to iteratively improve strategies; Collaborate on fusing large models with optimization algorithms for business feedback loops.
