{
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    "job": {
        "job_title": "Research Scientist / Engineer – Agentic RL",
        "job_level": "",AI生成
        "work_category": "全职",AI生成
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        "work_mode": "",AI生成
        "job_category": "算法类/AI"AI生成
    },
    "company": {
        "company_name": "月之暗面",
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        "responsibilities": "Research Scientist / Engineer – Agentic RLLocations: Beijing · Shanghai · Shenzhen · Singapore · Silicon ValleyMissionInvent the next leaps in agentic, multi-agent RL—algorithms, environments, infrastructure—that will carry Kimi K2.7 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.Welcome partners with SOTA capabilities in one of the above aspects to join us.研究科学家 / 工程师 – Agentic RLMoonshot AI · Kimi K2.7 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 K2.7 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。欢迎在以上某一方面具备SOTA能力的小伙伴加入",
        "requirements_text": "",
        "skills": [],AI生成
        "preferred_qualifications": "",
        "job_highlights": ""
    },
    "contact": {
        "recruiter_name": "",
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    },
    "posting": {
        "posting_id": "5fd59e02-c6f7-4673-8e4d-723d03b12710",
        "post_date": "2026-07-10",
        "hire_time": "",
        "update_date": "",
        "job_url": "https://app.mokahr.com/campus-recruitment/moonshot/148507#/job/5fd59e02-c6f7-4673-8e4d-723d03b12710"
    },
    "fulltext": "Research Scientist / Engineer – Agentic RLLocations: Beijing · Shanghai · Shenzhen · Singapore · Silicon ValleyMissionInvent the next leaps in agentic, multi-agent RL—algorithms, environments, infrastructure—that will carry Kimi K2.7 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.Welcome partners with SOTA capabilities in one of the above aspects to join us.研究科学家 / 工程师 – Agentic RLMoonshot AI · Kimi K2.7 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 K2.7 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。欢迎在以上某一方面具备SOTA能力的小伙伴加入"
}