openashbyhqa16z
Researcher, Frontier Biological and Chemical Risks
OpenAI
LocationSan Francisco
EmploymentFullTime
Posted2026-01-20T22:38:33.741+00:00
Last observed2026-06-23 12:12:22.321236
Job ida16z-openai:ashbyhq:3fc46cbc-7e5a-4edc-96dc-ca433e76d181
ABOUT THE TEAM Preparedness is a critical Safety Research team at OpenAI, which is focused on mitigating AI threats to global security https://openai.com/index/updating-our-preparedness-framework/ that could scale to an extreme level of severity. Our work involves: 1. Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems. 2. Mitigation. Keeping misuse safeguards, alignment tools, and security measures on track to adequately address extreme threats that might arise in the future. 3. Coordination. Setting mitigation targets by maintaining OpenAI’s preparedness framework https://openai.com/index/updating-our-preparedness-framework/, and partnering with other staff to achieve these targets. This is urgent, fast-paced work that has far-reaching implications for the company and for society. ABOUT THE ROLE We are looking to hire exceptional research engineers that can push the boundaries of our frontier models. Specifically, we are looking for those that will help us shape our empirical grasp of the whole spectrum of AI safety concerns and will own individual threads within this endeavor end-to-end. You will own the scientific validity of our frontier preparedness capability evaluations—designing new evals grounded in real threat models (including high-consequence domains like CBRN as well as cyber and other frontier-risk areas), and maintaining existing evals so they don’t stale or silently regress. You’ll define datasets, graders, rubrics, and threshold guidance, and produce auditable artifacts (evaluation cards, capability reports, system-card inputs) that leadership can trust during high-stakes launches. IN THIS ROLE, YOU'LL: - Work on identifying emerging AI safety risks and new methodologies for exploring the impact of these risks - Build (and then continuously refine) evaluations of frontier AI models that assess the extent of identified risks - Design and build scalable systems and processes that can support these kinds of evaluations - Contribute to the refinement of risk management and the overall development of "best practice" guidelines for AI safety evaluations YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Are passionate and knowledgeable about short-term and long-term AI safety risks - Demonstrate the ability to think outside the box and have a robust “red-teaming mindset” - Have experience in ML research engineering, ML observability and monitoring, creating large language model-enabled applications, and/or another technical domain applicable to AI risk - Are able to operate effectively in a dynamic and extremely fast-paced research environment as well as scope and deliver projects end-to-end IT WOULD BE GREAT IF YOU ALSO HAVE: - First-hand experience in red-teaming systems—be it computer systems or otherwise - A good understanding of the (nuances of) societal aspects of AI deployment - Excellent communication skills and the ability to work cross-functionally This role may require access to technology or technical data controlled under the U.S. Export Administration Regulations or International Traffic in Arms Regulations. Therefore, this role is restricted to individuals described in paragraph (a)(1) of the definition of “U.S. person” in the U.S. Export Administration Regulations, 15 C.F.R. § 772.1, and in the International Traffic in Arms Regulations, 22 C.F.R. § 120.62. U.S. persons are U.S. citizens, U.S. legal permanent residents, individuals granted asylum status in the United States, and individuals admitted to the United States as refugees. 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 pers
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