Software Engineer, Scaled Abuse

Written by the T&S Network from OpenAI's posting.

Engineering work on fraud and abuse detection for OpenAI's platform and APIs, building backend and data systems for real-time detection, investigation workflows, and enforcement at scale. The Scaled Abuse team sits within the Fraud Engineering team in Applied Engineering and works with Trust & Safety, Security, and Product to harden defenses against fraudulent and abusive actors.

• Fraud and scams

What you'd do

• Design and build fraud detection and remediation systems that balance fraud loss, implementation cost, and customer experience.
• Coordinate with finance, security, product, research, and T&S ops to counter fraud and abuse on the platform.
• Translate emerging attack patterns and messy signals into clear system behavior.
• Track new techniques and tools to stay ahead of well-resourced adversaries.
• Use GPT-5 and future models to improve fraud and abuse detection.
• Navigate and improve an unfamiliar codebase end to end, proposing changes that make the stack more resilient.

What it asks for

• Five or more years building backend and data systems as a software engineer.
• Two or more years working on fraud or abuse analysis, investigations, or operations.
• Experience with machine learning techniques (preferred).

Our best summary of the posting, and it can be wrong. The employer's posting is what counts: read it in full on OpenAInorth_east before you apply. If we got something wrong, report this listing.