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前向部署工程师 - 东京

机器翻译
查看雇主原标题Forward Deployed Engineer - Tokyo

OpenAI · Tokyo, 日本

职位信息来自雇主公开的招聘页面。申请前请务必在雇主官网核实详情。

为什么值得关注?

发现指数 60/100,仅依据与该职位一起存储的证据计算。

60/100 发现指数
  • 新的雇主官方职位
  • 远程职位
  • 检测到搬迁支持关键词

分数构成

  • 时效性 (随职位发布时间变化)+18
  • 雇主官方来源+15
  • 远程职位+8
  • 提及搬迁+6
  • 稀有职位+5
  • 公司来源健康度+8

该职位未包含:已披露薪资、提及签证担保、未出现在监控的职位板上。

这些理由来自雇主自己的职位描述与我们核实过的来源检查结果。除了已存储的信号之外,我们不做任何推测。

职位描述

机器翻译

关于团队 OpenAI 的前沿部署工程团队与客户合作,将研究突破转化为生产系统。我们处于客户交付与核心平台开发的交汇点。 关于该职位 前沿部署工程师(FDE)与我们的最重要客户一起,主导前沿模型在生产环境中的复杂端到端部署。你将负责需求发现、技术范围界定、系统设计、构建和生产上线,并直接与客户工程和领域团队合作。 你将通过生产采用率、可衡量的工作流影响,以及能够改变产品和模型路线图的评估驱动反馈来衡量成功。你将与我们的产品、研究、合作伙伴关系、GRC、安全和 GTM 团队密切合作。 该职位位于东京。我们采用每周 3 天到办公室的混合工作模式,并为新员工提供搬迁协助。该职位预计需要出差,主要在日本境内。 要在该职位上取得成功,你必须具备双语能力——日语和英语均流利(口语和书面)。请注意,你的简历必须以英文提交,面试流程将包括两种语言的对话。 在该职位中,你将 • 负责多个部署中的技术交付,从首个原型到稳定生产

• 构建全栈系统,为客户创造价值并提升我们的学习方式

• 与客户团队紧密协作,理解他们的需求,并引导他们采用你构建的成果

• 界定工作范围、安排交付顺序,并尽早清除障碍

• 在范围、速度和质量之间做出权衡;调整计划以保障交付

• 当进展或清晰度取决于此时,直接参与代码贡献

• 将工作模式固化为他人可使用的工具、手册或构建模块

• 分享一线反馈,帮助研究和产品团队了解模型在哪些方面表现出色、哪些方面可以改进

• 通过清晰沟通和跟进落实推动团队前进

如果你具备以下条件,你可能会在该职位中如鱼得水 • 拥有 5 年以上工程或技术部署经验

岗位职责

前沿部署工程师(FDE)与我们的最重要客户一起,主导前沿模型在生产环境中的复杂端到端部署。你将负责需求发现、技术范围界定、系统设计、构建和生产上线,并直接与客户工程和领域团队合作。 你将通过生产采用率、可衡量的工作流影响,以及能够改变产品和模型路线图的评估驱动反馈来衡量成功。你将与我们的产品、研究、合作伙伴关系、GRC、安全和 GTM 团队密切合作。 该职位位于东京。我们采用每周 3 天到办公室的混合工作模式,并为新员工提供搬迁协助。该职位预计需要出差,主要在日本境内。 要在该职位上取得成功,你必须具备双语能力——日语和英语均流利(口语和书面)。请注意,你的简历必须以英文提交,面试流程将包括两种语言的对话。 在该职位中,你将 • 负责多个部署中的技术交付,从首个原型到稳定生产

• 构建全栈系统,为客户创造价值并提升我们的学习方式

• 与客户团队紧密协作,理解他们的需求,并引导他们采用你构建的成果

• 界定工作范围、安排交付顺序,并尽早清除障碍

• 在范围、速度和质量之间做出权衡;调整计划以保障交付

• 当进展或清晰度取决于此时,直接参与代码贡献

• 将工作模式固化为他人可使用的工具、手册或构建模块

• 分享一线反馈,帮助研究和产品团队了解模型在哪些方面表现出色、哪些方面可以改进

• 通过清晰沟通和跟进落实推动团队前进

如果你具备以下条件,你可能会在该职位中如鱼得水 • 拥有 5 年以上工程或技术部署经验,其中包括面向客户的工作

• 在快速变化或模糊不清的环境中界定并交付过复杂系统

• 使用 Python、JavaScript 或类似技术栈编写并审查前端和后端生产级代码

• 构建或部署过由 LLM 或生成式模型驱动的系统,并理解模型行为如何影响产品体验

• 简化复杂性,并在压力下做出快速、稳妥的决策

• 与工程师、产品团队和客户利益相关者清晰沟通

• 尽早发现风险,并在不减速的情况下做出调整

• 在事关重大时保持冷静与判断力

关于 OpenAI OpenAI 是一家 AI 研究与部署公司,致力于确保通用人工智能造福全人类。我们不断拓展 AI 系统能力的边界,并寻求通过我们的产品将其安全地部署到世界各地。AI 是一种极其强大的工具,其创造必须以安全和人类需求为核心;为实现我们的使命,我们必须包容并重视构成人类完整光谱的众多不同视角、声音和经历。 我们是提供平等机会的雇主,不因种族、宗教、肤色、国籍、性别、性取向、年龄、退伍军人身份、残疾、遗传信息或其他适用的受法律保护特征而歧视任何人。 如需更多信息,请参阅 OpenAI 的平权行动与平等就业机会政策声明。 对申请人的背景调查将依据适用法律进行,对于美国候选人,有逮捕或定罪记录的合格申请人将依据相关法律获得就业考虑,包括《旧金山公平机会条例》、《洛杉矶县雇主公平机会条例》和《加州公平机会法》。对于未建制洛杉矶县的员工:我们合理认为,犯罪历史可能与以下工作职责存在直接、不利和负面的关系,并可能导致有条件录用通知被撤回:保护委托给你的计算机硬件免遭盗窃、丢失或损坏;在雇佣终止或任务结束时归还你持有的所有计算机硬件(包括其中包含的数据);以及维护专有、机密和非公开信息的保密性。此外,工作职责要求访问受保护的安全信息技术系统,并承担相关的数据安全义务。 如需通知 OpenAI 你认为该职位发布不合规,请通过此表单提交报告。与职位发布合规无关的询问将不会得到回复。 我们致力于为残障申请人提供合理便利,可通过此链接提出请求。 OpenAI 全球申请人隐私政策 在 OpenAI,我们相信人工智能有潜力帮助人们解决巨大的全球挑战,我们希望 AI 带来的益处能够被广泛共享。加入我们,共同塑造技术的未来。

以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。

查看雇主原文

职位描述

About the team OpenAI’s Forward Deployed Engineering team partners with customers to turn research breakthroughs into production systems. We operate at the intersection of customer delivery and core platform development. About the role Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel is expected in this role, mainly within Japan. To succeed in this position you must be bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages. In this role you will • Own technical delivery across multiple deployments from first prototype to stable production

• Build full-stack systems that deliver customer value and sharpen how we learn

• Embed closely with customer teams, understand their needs, and guide adoption of what you build

• Scope work, sequence delivery, and remove blockers early

• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery

• Contribute directly in the code when progress or clarity depends on it

• Codify working patterns into tools, playbooks, or building blocks that others can use

• Share field feedback that helps Research and Product understand where the models succeed and where they can improve

• Keep teams moving through clarity and follow-through

You might thrive in this role if you • Bring 5+ years of engineering or technical deployment experience

岗位职责

Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. This role is based in Tokyo. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Travel is expected in this role, mainly within Japan. To succeed in this position you must be bilingual—fluent in both Japanese and English (spoken and written). Please note that your resume must be submitted in English, and the interview process will include conversations in both languages. In this role you will • Own technical delivery across multiple deployments from first prototype to stable production

• Build full-stack systems that deliver customer value and sharpen how we learn

• Embed closely with customer teams, understand their needs, and guide adoption of what you build

• Scope work, sequence delivery, and remove blockers early

• Make trade-offs between scope, speed, and quality; adjust plans to protect delivery

• Contribute directly in the code when progress or clarity depends on it

• Codify working patterns into tools, playbooks, or building blocks that others can use

• Share field feedback that helps Research and Product understand where the models succeed and where they can improve

• Keep teams moving through clarity and follow-through

You might thrive in this role if you • Bring 5+ years of engineering or technical deployment experience that includes customer-facing work

• Have scoped and delivered complex systems in fast-moving or ambiguous environments

• Write and review production-grade code across frontend and backend using Python, JavaScript, or comparable stacks

• Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience

• Simplify complexity and make fast, sound decisions under pressure

• Communicate clearly with engineers, product teams, and customer stakeholders

• Spot risks early and adjust without slowing down

• Model calm and judgment when the stakes are high

About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

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