大模型Multi-Agent Harness工程师 - Seed Model
Core
Develop Long-Running Multi-Agent Harness and build infrastructure for Multi-Agent Reinforcement Learning (RL) agents.
Role type
Senior IC Machine Learning Engineer (Multi-Agent Systems)
Builds
Long-Running Multi-Agent Harness, Multi-Agent RL Agent infrastructure
Domain
Artificial Intelligence, Reinforcement Learning, Multi-Agent Systems
Deliverable
production ML models
Required skills
Engineering framework development, OS-level multi-task scheduling, multi-process efficiency optimization, asynchronous framework optimization, Coding Agent framework implementation details, full-stack development, containerization, sandboxing
Preferred skills
Language models, Reinforcement Learning theory
Technologies
Multi-Agent RL frameworks, Coding Agents (Claude Code, Codex), Containerization, Sandboxing
Responsibilities
Collaborate with ML colleagues to develop Long-Running Multi-Agent Harness; Assist algorithm teams in building large-scale complex RL environments; Ensure stability of Multi-Agent scenario training and evaluation.
