Research Engineer, Privacy
Research Engineer, Privacy
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USD 380000 - 460000
1 Vacancy
Job Description
About the Team
The Privacy Engineering Team at OpenAI is committed to integrating privacy as a foundational element in OpenAIs 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 OpenAIs 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 leaksbalancing 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 privacyperformance 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 lifecyclefrom 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 modelsprobing them for private data leakageand 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 OpenAIs Affirmative Action and Equal Employment Opportunity Policy Statement.
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law including the San Francisco Fair Chance Ordinance the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. 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.
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.
Employment Type
Full-Time
