Software Engineer, Ads Integrity

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.

You might thrive in this role if you:

• 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. This is a plus, but not a requirement.
• Are excited to build the integrity foundation for a new product area rather than inherit a mature system.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.

Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.

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