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OpenAI

Software Engineer, Scaled Abuse

San Francisco$230k–$385kfulltimemidAdded 1 month ago

About this role

Join OpenAI's Scaled Abuse team to build backend systems that detect and prevent fraud at scale. You'll work at the intersection of engineering and abuse expertise, collaborating with trust & safety and security teams to protect OpenAI's products from sophisticated adversaries while maintaining a great user experience.

What you'll do

  • Design and build fraud detection and remediation systems balancing loss prevention, implementation costs, and user experience
  • Collaborate with finance, security, product, and trust & safety teams to combat fraudulent and abusive actors
  • Monitor emerging attack patterns and continuously improve system defenses
  • Leverage GPT-5 and advanced models to enhance fraud detection capabilities
  • Develop investigation workflows and enforcement mechanisms
  • Stay ahead of sophisticated, well-resourced adversaries through continuous learning

What they're looking for

  • Backend and data systems engineering (5+ years)
  • Fraud or abuse analysis and operations (2+ years)
  • Python programming
  • Database systems (Postgres)
  • Kubernetes and infrastructure as code (Terraform)
  • System design and architecture
  • Machine learning techniques (preferred)
  • Ability to learn and quickly master unfamiliar codebases
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

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Likely interview questions

  • Walk us through your experience building fraud detection or abuse prevention systems. What were the key signals you used, and how did you handle false positives versus false negatives?
  • Describe a time you had to investigate and remediate a complex fraud or abuse pattern. How did you balance speed of response with accuracy?
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