Research Engineer - (Seed Model - Infra Platform - Agent Systems & AI Coding Environment)

职位描述

The Seed Infrastructures team oversees the distributed training, reinforcement learning framework, high-performance inference, and heterogeneous hardware compilation technologies for AI foundation models.

Responsibilities

- Build agent harness and execution environments for AI coding and knowledge tasks (code execution, tool integration, sandboxing, system interaction)

- Develop scalable orchestration frameworks for multi-step agent workflows (planning, tool use, memory, coordination)

- Design evaluation and benchmarking systems to measure agent performance across complex, long-horizon tasks

- Improve agent performance via prompting, data curation, and post-training in collaboration with model and RL teams

- Partner with research and product teams to productionize agent systems

任职要求

Minimum Qualifications

- Bachelor’s degree or above in Computer Science or a related field

- Strong programming skills (Python or similar) and solid system-building experience

- Experience with LLM-based systems, pipelines, or tool-integrated workflows

- Understanding of system design and building scalable infrastructure

- Experience building agent harness / runtime systems or AI coding environments

- Experience with Docker, Kubernetes or similar orchestration systems, distributed job execution, and containerized/sandboxed code execution environments

Preferred Qualifications

- Familiarity with evaluation frameworks, prompting / finetuning / RL, or large-scale experimentation