Researcher, Alignment Interpretability
San Francisco, CAFull-time$295–500K/yrPosted 1w agoStill listed 1w ago
Most applications go out cold — see where you stand first. No sign-up to start.
Watch jobs like this. New roles like this one near San Francisco, CA, by email.
Don't just apply. Show up ready.
Olive works from this exact posting.
At a glance
Olive lists jobs from US employers, including remote roles you can work from the United States.
Job overview
OpenAI seeks a researcher to advance mechanistic interpretability of deep networks, developing scalable infrastructure and publishing findings. The role collaborates across teams to guide research toward useful, long‑term AI safety, leveraging OpenAI's resources to ensure future models remain safe and aligned with humanity's benefit.
Skills & qualifications
Skills
Qualifications
Full job description
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 alignment 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 of ensuring AGI benefits all of humanity, and are aligned with OpenAI’s charter.
-
Show enthusiasm for long-term AI safety & alignment, and have thought deeply about technical paths to safe AGI.
-
Bring experience in the field of AI safety & alignment, 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. 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.
Similar jobs, posted recently
Open roles like this one, listed in the last 30 days.
Staff+ Software Engineer, Infrastructure, InterpretabilityAnthropic · San Francisco, CA (Hybrid) · $405–485K/yrPosted 3w agoPosted 3w agoApplied ResearcherPhysical Intelligence · San Francisco, CAPosted 4w agoPosted 4w ago
- ML Researcher - PosttrainingKrea · San Francisco, CAPosted 1w agoPosted 1w ago
Staff+ Researcher, Cybersecurity ProductsAnthropic · San Francisco, CA (Hybrid) · $405–485K/yrPosted 4w agoPosted 4w ago
- ML Researcher - Image / Video DiffusionKrea · San Francisco, CAPosted 1w agoPosted 1w ago
You've read the whole posting — now see how you match it.