Eagle program–MachineLearningEngineer (2026grads)

Responsibilities: Responsible for designing, developing, and optimizing intelligent agents and multi-agent systems for cutting-edge AI application scenarios. Develop and implement core agent algorithms including but not limited to: reasoning (CoT, ToT), planning, tool use (function calling), and memory management. Build robust frameworks for agent evaluation, monitoring, and iterative improvement; Responsible for LLM training/finetuning, benchmark & selection, and application . Collaborate with cross-functional teams to understand product requirements and translate them into scalable and reliable agentic diagram.

Qualifications: Graduate with a background in Computer Science, Artificial Intelligence, or a related technical discipline. Rich experiences and strong skills in the following areas: multi-agent systems, reinforcement learning (GRPO, PPO), and LLM training & application development. Strong computer science fundamentals, with proficient coding skills in Python/Java and experience with frameworks like LangChain, LlamaIndex, or AutoGen. Excellent problem-solving abilities, a proactive mindset, and strong communication skills. Candidates with publications in top conferences (NeurIPS,KDD, ICML, EMNLP, AAAI) or significant contributions to open-source ai projects are highly preferred.