Software Engineer, Ads Integrity
OpenAI · On-site · San Francisco · $293k–$385k
Posted by OpenAI on their careers site · View the original posting
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Open 56 days
backend systems designdistributed systemslarge-scale systemslow-latency infrastructurerisk signal evaluationML operationalizationcross-functional collaborationownershiparchitecture design
In the Atlas
The posting, as OpenAI wrote it
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 are establishing the integrity foundation that will keep the ads ecosystem safe and trustworthy from the start. This includes protecting advertiser onboarding, detecting unsafe or policy-violating ad content, preventing fraudulent and abusive advertiser behavior, and defending the ads ecosystem against spam, manipulation, and other forms of abuse.
Ads Integrity is a new and highly cross-functional area. The team partners closely with Ads, Product, Safety, Policy, ML, Privacy, Security, and operations teams to build protections directly into the ads platform rather than layering them on after the fact. This is an opportunity to define how integrity works for a new ads ecosystem from first principles.
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 will design systems that detect, prevent, and respond to harmful, deceptive, fraudulent, or policy-violating activity across the ads lifecycle. The problems span advertiser onboarding and verification, account and behavioral risk, content safety, spam and fraudulent interactions, detection and 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 always welcome. You’ll work closely with ML engineers and researchers and build systems that consume and operationalize ML-based signals, but your primary focus will be designing and operating robust backend and distributed systems. You’ll help determine how signals, rules, models, and human review come together into reliable integrity protections for advertisements that can operate at OpenAI scale.
This role is particularly well suited to an engineer who has built large-scale systems in integrity, trust and safety, anti-abuse, fraud, risk, security, or a related adversarial domain.
You will have significant ownership over what we build and how we build it, partnering across Integrity and Ads to establish the architecture and technical foundations that will protect OpenAI’s ads ecosystem as it grows.
This role is based in San Francisco. We offer relocation assistance to new employees.
In this role, you will
- 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
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