远程工作雷达

研究者,可解释性

Researcher, Interpretability

其他限定地区(据职位描述推断)
公司Openai
薪资$380,000 - $500,000
工作地点San Francisco
地域资格限定地区(据职位描述推断)
时区要求无特别要求
用工类型FullTime
发布时间2025-06-15
数据来源Ashby
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注意地域限制:该职位明确限定在 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

关于团队
可解释性团队研究深度学习模型的内部表示。我们致力于利用这些表示来理解模型行为,并通过工程手段使模型具有更易理解的表示。我们特别关注将我们的理解应用于确保强大人工智能系统的安全性。我们的工作风格是协作和以好奇心驱动的。

关于职位
OpenAI正在寻找一位对理解深度网络充满热情的研究人员,具备扎实的工程背景、定量推理能力和研究流程经验。你将在高度积极的团队紧密合作下,制定并执行机械可解释性方面的研究计划。你将在帮助OpenAI确保未来模型在能力提升的同时保持安全方面发挥关键作用。这将对我们在构建和部署安全通用人工智能(AGI)方面的目标产生重大影响。

在此职位中,你将:
- 开发并发表关于理解深度网络表示技术的研究成果。
- 构建用于大规模研究模型内部结构的基础设施。
- 跨团队合作,开展OpenAI独特优势所在的研究项目。
- 引导研究方向朝着可证明的实用性及长期可扩展性发展。

如果你:
- 对OpenAI的使命 https://openai.com/about/ 感到兴奋,即确保通用人工智能惠及全人类,并与OpenAI的章程 https://openai.com/charter/ 一致。
- 对长期人工智能安全充满热情,并深入思考过实现安全通用人工智能的技术路径。
- 在人工智能安全、机械可解释性或相关领域有经验。
- 拥有博士学位或在计算机科学、机器学习或相关领域有研究经验。
- 在涉及大规模人工智能系统的环境中表现出色,并对利用OpenAI在该领域的独特资源感到兴奋。
- 具备2年以上研究工程经验,并精通Python或类似语言。
- 充满好奇心。

关于OpenAI
OpenAI是一家人工智能研究和部署公司,致力于确保通用人工智能惠及全人类。我们不断拓展人工智能系统的能力边界,并通过我们的产品将它们安全地部署到世界。人工智能是一种极其强大的工具,必须以安全性和人类需求为核心进行开发。为了实现我们的使命,我们致力于……

查看英文原文

ABOUT THE TEAM

The Interpretability team studies internal representations of deep learning models. We are interested in using representations to understand model behavior, and in engineering models to have more understandable representations. We are particularly interested in applying our understanding to ensure the safety of powerful AI systems. Our working style is collaborative and curiosity-driven.

ABOUT THE ROLE

OpenAI is seeking a researcher passionate about understanding deep networks, with a strong background in engineering, quantitative reasoning, and the research process. You will develop and carry out a research plan in mechanistic interpretability, in close collaboration with a highly motivated team. You will play a critical role in helping OpenAI ensure future models remain safe even as they grow in capability. This will make a significant impact on our goal of building and deploying safe AGI.

In this role, you will:

- Develop and publish research on techniques for understanding representations of deep networks.

- Engineer infrastructure for studying model internals at scale.

- Collaborate across teams to work on projects that OpenAI is uniquely suited to pursue.

- Guide research directions toward demonstrable usefulness and/or long-term scalability.

You might thrive in this role if you:

- Are excited about OpenAI’s mission https://openai.com/about/ of ensuring AGI benefits all of humanity, and are aligned with OpenAI’s charter https://openai.com/charter/.

- Show enthusiasm for long-term AI safety, and have thought deeply about technical paths to safe AGI.

- Bring experience in the field of AI safety, mechanistic interpretability, or spiritually related disciplines.

- Hold a Ph.D. or have research experience in computer science, machine learning, or a related field.

- Thrive in environments involving large-scale AI systems, and are excited to make use of OpenAI’s unique resources in this area.

- Possess 2+ years of research engineering experience and proficiency in Python or similar languages.

- Are deeply curious.

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 https://cdn.openai.com/policies/eeo-policy-statement.pdf.

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 https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. 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 https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241.

OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf

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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