Software Engineer, Ads Integrity
OpenAI · San Francisco
About this role
## About the Team The Integrity team builds the systems that protect OpenAI’s products, users, and ecosystem from abuse. We work across product engineering, infrastructure, safety, and operations to detect and prevent harmful, fraudulent, deceptive, and adversarial activity at global scale. As OpenAI builds new ads experiences, we’re establishing the integrity foundation that will keep the ads ecosystem safe and trustworthy from the start—covering advertiser onboarding, unsafe/policy-violating ad content detection, fraudulent/abusive advertiser behavior prevention, and defenses against spam, manipulation, and other abuse. Ads Integrity is a new, highly cross-functional area partnering closely with Ads, Product, Safety, Policy, ML, Privacy, Security, and operations to build protections directly into the ads platform. ## About the Role We’re looking for an experienced **Software Engineer** to build the backend systems and infrastructure that keep OpenAI’s ads products safe, trustworthy, and resilient to abuse. In this foundational role, you’ll design systems that detect, prevent, and respond to harmful, deceptive, fraudulent, or policy-violating activity across the ads lifecycle—spanning advertiser onboarding and verification, account and behavioral risk, content safety, spam/fraudulent interactions, enforcement infrastructure, and the systems that connect integrity signals and models to real-time product decisions. This is **not** an ML-specialist role, but familiarity with ML for Ads integrity is welcome. You’ll work closely with ML teams to operationalize ML-based signals, while your primary focus is robust backend and distributed systems. **Location:** San Francisco (relocation assistance available). ## What You’ll Do - Design and build large-scale backend systems to detect and prevent harmful, deceptive, fraudulent, or policy-violating activity across the ads ecosystem. - Build low-latency integrity infrastructure to evaluate risk signals and make decisions in/near real time. - Develop scalable risk-signal pipelines, decision systems, rules, and enforcement infrastructure across the advertiser and ads lifecycle. - Build advertiser onboarding, business verification, account-risk, fraud-detection, and abuse-prevention capabilities. - Develop ads-specific content safety systems to detect and enforce unsafe, misleading, deceptive, or policy-violating ads. - Build protections against spam, fraudulent interactions, manipulation, and other adversarial behaviors. - Partner with ML teams to integrate classifiers and model-based signals into production integrity systems (real-time and asynchronous detection). - Create feedback loops, review systems, and integrity metrics to improve detection quality while managing false positives and impact on legitimate advertisers/users. - Build tooling and infrastructure to enable operations and policy teams to investigate abuse and make fast, consistent, explainable decisions. - Engineer systems that adapt as adversaries change tactics, supporting experimentation, monitoring, and incident response. - Partner with Ads Engineering to integrate integrity protections throughout the ads platform without compromising reliability, latency, or product quality. - Help define the technical strategy and architecture for Ads Integrity as the product and threat landscape evolve. ## You Might Thrive If - You have significant experience building and operating large-scale backend or distributed systems. - You’ve w
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