Research Scientist / Engineer – Agentic RL

Research Scientist / Engineer – Agentic RL Locations: Beijing · Shanghai · Shenzhen · Singapore · Silicon Valley Mission Invent the next leaps in agentic, multi-agent RL—algorithms, environments, infrastructure—that will carry Kimi K2 and its successors into real-world autonomy. Core Requirements • Deep mastery of RL: policy-gradient, actor-critic, self-play, meta-RL, MARL. • Proven delivery of large-scale training & serving stacks (thousands of GPUs, low-latency rollouts). • Expert-level systems coding (Python/C++/Rust) and distributed infra design. • Track record of shipping or publishing on agentic RL, tool-use agents, or multi-agent systems. Nice-to-have • Experience with code-execution sandboxes, program synthesis, or simulator security. Apply with GitHub, papers, or a concise write-up of your coolest RL system. 研究科学家 / 工程师 – Agentic RL Moonshot AI · Kimi K2 及下一代模型 工作地点：北京 · 上海 · 深圳 · 新加坡 · 硅谷 使命 在 Agentic、多智能体 RL 的算法、环境与基础设施上取得突破，把 Kimi K2 及后续模型的自主能力推向真实世界。 核心要求 • 精通 RL：策略梯度、Actor-Critic、Self-Play、Meta-RL、MARL。 • 具备千卡级训练与低延迟推理的落地经验。 • 系统级编程与分布式架构设计能力（Python / C++ / Rust）。 • 有 Agentic RL、工具调用或多智能体系统的发表或上线记录。 加分项 • 代码沙箱、程序合成、仿真器安全相关经验。 请附上 GitHub、论文或你最自豪的 RL 项目简介。