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Software Engineer, Ads Integrity

OpenAI· Applied AI
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Hybrid (San Francisco)$293k - $385kFull-timePosted 3mo ago

About the role

Experienced software engineer to design and operate backend systems and infrastructure for protecting OpenAI’s ads ecosystem from abuse, fraud, and policy violations. Focus on large-scale, low-latency backend and distributed systems with potential ML-adjacent collaboration.

Responsibilities

  • Design and build large-scale backend systems that detect and prevent harmful, deceptive, fraudulent, or policy-violating activity across the ads ecosystem.
  • Build low-latency integrity infrastructure capable of evaluating risk signals and making decisions in or 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 that make it harder for malicious actors to enter or exploit the ecosystem.
  • Develop systems that support ads-specific content safety and enable the detection and enforcement of unsafe, misleading, deceptive, or policy-violating ads.
  • Build protections against spam, fraudulent interactions, manipulation, and other adversarial behaviors that threaten the health of the ads ecosystem.
  • Partner with ML teams to integrate classifiers and model-based signals into production integrity systems, including both lightweight real-time protections and more sophisticated asynchronous detection.
  • Build feedback loops, review systems, and integrity metrics that improve detection quality while carefully managing false positives and impact on legitimate advertisers and users.
  • Create tooling and infrastructure that enable operations and policy teams to investigate abuse and make fast, consistent, and explainable decisions.
  • Engineer systems that adapt as adversaries change their tactics and support effective experimentation, monitoring, and incident response.
  • Partner closely 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 both the product and underlying threat landscape evolve.

Qualifications

  • Have significant experience building and operating large-scale backend or distributed systems.
  • Have worked on integrity, trust and safety, anti-abuse, fraud, risk, security, business verification, or another domain where systems must operate against sophisticated or evolving adversaries.
  • Have built detection, decisioning, enforcement, verification, investigation, or risk infrastructure in production.
  • Understand how rules, heuristics, risk signals, ML-based signals, and human review can work together within a dependable production system.
  • Are comfortable building ML-adjacent infrastructure and partnering closely with ML teams without needing to be an ML domain expert.
  • Have built low-latency, high-throughput services or data pipelines with demanding reliability, correctness, privacy, and security requirements.
  • Can reason about false positives, adversarial behavior, explainability, auditability, and the operational impact of automated enforcement.
  • Think holistically about threat models, system architecture, data quality, observability, user impact, and ecosystem health.
  • Can define technical direction in an ambiguous 0→1 environment and independently drive complex work across teams.
  • Communicate clearly and work effectively across engineering, product, policy, safety, security, operations, and machine-learning teams.
  • Have experience with ads, ads integrity, advertiser systems, or ads fraud (a plus, not required).
  • Are excited to build the integrity foundation for a new product area rather than inherit a mature system.

Skills

Required:Backend SystemsReal-time / Low-latency ProcessingRisk & Integrity InfrastructureThreat Modeling / Adversarial Thinking
Nice to have:ML-adjacent Infrastructure

Benefits

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends
Last updated Sep 17, 2026. Interested? Apply on the company site.

About OpenAI

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