Researcher, Recursive Self-Improvement Safety

Models are becoming increasingly capablemoving from tools that assist humans to agents that can plan execute and adapt in the real world. Mitigating the frontier risks resulting from these capabilities is paramount to OpenAIs ability to continue deploying models safely.

The Preparedness team is dedicated to addressing these critical risks. Our work includes:

1. Measurement. Monitoring and predicting the evolving capabilities of frontier AI systems.

2. Mitigation. Keeping misalignment safeguards alignment tools and on track to adequately address extreme threats that might arise in the future.

3. Coordination. Setting mitigation targets by maintaining OpenAIs 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.

Preparedness is hiring strong technical executors to support preparations for accelerated AI development which may culminate in recursive self-improvement. This work relies on anticipating misalignment risks that might exist in the future but might not exist now; so its especially important that people in this role are tasteful and strategic.

The role is wide-ranging covering any mitigation for loss of control risk spanning the design and implementation of better pre-deployment risk-assessment control measures RSI-relevant training interventions and turning ones technical work into established institutional practices and external-facing communications.

Below is a subset of our focus areas:

• Scalable oversight: Establishing practices for model misbehavior monitoring and oversight which remain effective in superhuman model capability regimes with a focus on bridging from todays monitoring approaches to future-proof ones.

• Automated auditing: As model capabilities increase well increasingly rely on automated approaches for finding the most severe forms of model misalignments. Well both need to sift through large swaths of production traffic to find the most egregious misalignments and reliably elicit tail risks before deployment.

• Rigorous monitorability: Rigorous testing and red-teaming of our measurements of model misbehavior related to loss-of-control (e.g. reward hacking sandbagging scheming). This includes better understanding monitorability and e.g. preparing for potential losses of Chain-of-Thought monitorability.

• Model behavior science: Design experiments and evaluations to understand the extent to which models are problematically misaligned or their safety-relevant capabilities lag behind dangerous capabilities. This may include training model organisms of misbehavior for behaviors not currently present in production or training interventions to increase safety-relevant capabilities.

• Coordination and verification: Prototype technical mechanisms for verifying compliance with potential future AI safety agreements.

• AI R&D risk measurement: Track progress toward automation of technical staff to inform OpenAIs near-term investments in alignment and security.

• Maintaining and strengthening RSI safety cases: Were especially interested in identifying and addressing blindspots of mitigation areas which we may have missed.

Generally our team alternates between performing rigorous hypothesis-driven research and turning our insights into interventions or control systems which impact production models with occasional support of engineering teams.

• Carefully consider the problems OpenAI might face in the future and how to prepare for them.

• Turn an open-ended objective like prepare for future misalignment threats into a much more concrete direction (e.g. stress-test monitors for scheming) prioritizing the work that is most useful to start right now.

• Execute quickly building scrappy prototypes and then improving them iteratively until they become established components of our safety pipelines.

• Secure buy-in from other staff at OpenAI when necessary and communicate your work clearly.

• Collaborate with or manage other staff as needed since we might need to rapidly scale to tackle these problems quickly.

• Are an exceptional technical executor.

• Have strong strategic and research taste: you can prioritize effectively in domains with weak feedback loops.

• Are passionate about mitigating the risks associated with recursive self-improvement.

• Are driven by a desire to do whatever work most positively impacts the future of AI development.

• Bonus: you have already done work in one of the domains listed above (ML research AI alignment AI verification etc).

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.

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