About the Team

OpenAI’s mission is to ensure that general-purpose artificial intelligence benefits all of humanity. We believe that achieving our goal requires real world deployment and iteratively updating based on what we learn. 

The Intelligence and Investigations team supports this by identifying and investigating misuses of our products – especially new types of abuse. This enables our partner teams to develop data-backed product policies, and build scaled safety mitigations. Precisely understanding abuse allows us to safely enable users to build useful things with our products. 

About the Role

As a technical investigator on the Intelligence and Investigations team, you will be responsible for prototyping strategies to find misuse of our products, writing and scaling detection to find abuse cases, and investigating abuse trends on OpenAI’s products. You will also respond to critical incidents, especially those that are not caught by our existing safety systems. 

This role is based in our San Francisco office and includes participation in an on-call rotation that may involve resolving urgent incidents outside of normal work hours. Some investigations may involve sensitive content, including sexual, violent, or otherwise-disturbing material. 

In this role, you will:

• Detect, respond to, and escalate safety incidents
• Develop new ways to scale our detection, especially using language models to improve and automate our coverage
• Improve our response processes, especially alerting, triage, and incident management
• Collaborate with policy, legal, and product teams to set data-backed policies that appropriately manage risk
• Collaborate with engineering, enforcement, and security teams to build solutions that appropriately mitigate abuse at scale

You might thrive in this role if you:

• Have at least 4 years of experience doing technical analysis, especially in SQL and Python
• Have at least 2 years of experience developing innovative detection solutions and conducting open-ended research to solve real-world problems
• Have at least 2 years of experience scaling and automating processes, especially with language models
• Have experience in trust and safety and/or have worked closely with policy, enforcement, and engineering teams
• Have experience with basic data engineering, such as building core tables or writing data pipelines (not expected to build infrastructure or write production code)