OpenAI

Software Engineer, Scaled Abuse

Backend and data engineer building real-time fraud detection, investigation, and enforcement systems to protect OpenAI's products and customers from abusive behavior.

The role

This role sits on the Scaled Abuse team inside the Applied Engineering organization, which guards OpenAI's platform against fraudsters. The engineer will architect and build the next generation of anti-fraud infrastructure. The work requires close collaboration with Trust & Safety, Security, and Product to turn ambiguous attack signals into concrete system changes.

What you would do

  • Build detection and remediation systems that weigh fraud losses, implementation cost, and user experience
  • Partner with finance, security, product, research, and trust and safety operations on coordinated responses to bad actors
  • Track new techniques and tooling to stay ahead of well-funded adversaries
  • Apply the company's latest models to improve fraud and abuse defenses

What they asked for

  • At least five years of software engineering experience on backend and data systems
  • At least two years of hands-on work in fraud or abuse analysis, investigation, or operations
  • Ability to learn an unfamiliar codebase quickly and propose meaningful architectural improvements
  • Strong eagerness to learn new skills and ability to explain technical ideas clearly to others
  • Comfort operating in ambiguous, fast-changing conditions and turning change into structure

Nice to have

  • Experience with machine learning techniques
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