远程工作雷达

研究工程师, 隐私

Research Engineer, Privacy

开发工程未标注地域
公司Openai
薪资$500,000
工作地点San Francisco
地域资格未标注地域
时区要求无特别要求
用工类型FullTime
发布时间2026-07-14
数据来源Ashby
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关于团队
OpenAI的隐私工程团队致力于将隐私作为OpenAI推进通用人工智能(AGI)使命的基础要素。我们的重点是所有处理用户数据的OpenAI产品和系统,努力保持最高标准的数据隐私和安全。

我们构建关键的生产服务,开发新颖的隐私保护技术,并为跨职能的工程和研究合作伙伴提供必要的工具,以确保负责任的数据使用。我们对负责任数据使用的优先考虑是OpenAI安全引入能带来广泛益处的AGI使命的重要组成部分。

关于职位
作为隐私工程团队的一员,你将在保障用户数据的第一线工作,同时确保我们的AI系统的可用性和效率。你将帮助我们理解并实现隐私增强技术的最新研究成果,如差分隐私、联邦学习和数据记忆。此外,你将专注于研究隐私与机器学习之间的相互作用,开发创新技术以改进数据匿名化,并防止模型逆向和成员推理攻击。

该职位位于旧金山。提供搬迁协助。

在这一职位中,你将:
- 设计和原型化可部署在OpenAI规模的隐私保护机器学习算法(例如差分隐私、安全聚合、联邦学习)。
- 评估并加强模型对隐私攻击(如成员推理、模型逆向和数据记忆泄露)的鲁棒性——在实用性与可证明的保证之间取得平衡。
- 开发内部库、评估套件和文档,使前沿的隐私技术对工程和研究团队可访问。
- 领导对大型模型的隐私-性能权衡进行深入调查,发布影响模型训练和产品安全决策的见解。
- 定义并规范化隐私标准、威胁模型和审计流程,指导整个机器学习生命周期——从数据集整理到部署后监控。
- 与安全、政策、产品和法务团队合作,将不断变化的监管要求转化为实际的技术防护措施和工具。

如果你具备以下条件,可能会在这个职位中表现出色:
- 有隐私增强技术(PETs)的实际研究或生产经验。
- 精通现代数据科学和机器学习框架,如Python、PyTorch、TensorFlow等。
- 具备良好的沟通能力,能够与不同背景的团队有效协作。
- 对隐私技术有热情,持续关注该领域的最新进展。

查看英文原文

About the Team

The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAI's mission of advancing Artificial General Intelligence (AGI). Our focus is on all OpenAI products and systems handling user data, striving to uphold the highest standards of data privacy and security.

We build essential production services, develop novel privacy-preserving techniques, and equip cross-functional engineering and research partners with the necessary tools to ensure responsible data use. Our approach to prioritizing responsible data use is integral to OpenAI's mission of safely introducing AGI that offers widespread benefits.

About the Role

As a part of the Privacy Engineering Team, you will work on the frontlines of safeguarding user data while ensuring the usability and efficiency of our AI systems. You will help us understand and implement the latest research in privacy-enhancing technologies such as differential privacy, federated learning, and data memorization. Moreover, you will focus on investigating the interaction between privacy and machine learning, developing innovative techniques to improve data anonymization, and preventing model inversion and membership inference attacks.

This position is located in San Francisco. Relocation assistance is available.

In this role, you will:

- Design and prototype privacy-preserving machine-learning algorithms (e.g., differential privacy, secure aggregation, federated learning) that can be deployed at OpenAI scale.

- Measure and strengthen model robustness against privacy attacks such as membership inference, model inversion, and data memorization leaks—balancing utility with provable guarantees.

- Develop internal libraries, evaluation suites, and documentation that make cutting-edge privacy techniques accessible to engineering and research teams.

- Lead deep-dive investigations into the privacy–performance trade-offs of large models, publishing insights that inform model-training and product-safety decisions.

- Define and codify privacy standards, threat models, and audit procedures that guide the entire ML lifecycle—from dataset curation to post-deployment monitoring.

- Collaborate across Security, Policy, Product, and Legal to translate evolving regulatory requirements into practical technical safeguards and tooling.

You might thrive in this role if you:

- Have hands-on research or production experience with PETs.

- Are fluent in modern deep-learning stacks (PyTorch/JAX) and comfortable turning cutting-edge papers into reliable, well-tested code.

- Enjoy stress-testing models—probing them for private data leakage—and can explain complex attack vectors to non-experts with clarity.

- Have a track record of publishing (or implementing) novel privacy or security work and relish bridging the gap between academia and real-world systems.

- Thrive in fast-moving, cross-disciplinary environments where you alternate between open-ended research and shipping production features under tight deadlines.

- Communicate crisply, document rigorously, and care deeply about building AI systems that respect user privacy while pushing the frontiers of capability.

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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