OpenAI
Software Engineer, Ads Integrity
San Francisco · Contract
Sponsorship not specifiedDetected 1 day ago
Distributed SystemsMachine LearningData EngineeringA/B TestingResearch
About the role
- This role is well suited to an engineer who has built large-scale systems in ads integrity, trust and safety, anti-abuse, fraud, security, risk, or a related domain-and who wants to apply that experience in an ambiguous 0→1 environment.
- You will work across risk signals, detection and enforcement platforms, review tooling, adversarial resilience, advertiser controls, and integrity measurement.
- We offer relocation assistance to new employees.
Responsibilities
- Design and build real-time and offline systems that detect harmful, deceptive, fraudulent, or policy-violating ads, advertisers, creatives, and landing experiences.
- Develop scalable risk-signal pipelines, rules and model-serving infrastructure, decision systems, and enforcement workflows across the ads lifecycle.
- Build advertiser-verification, account-risk, abuse-prevention, and fraud-detection capabilities that raise the cost of adversarial behavior.
- Create review and investigation tools that help operations and policy teams make fast, consistent, and explainable decisions.
- Design feedback loops, labeling systems, and integrity metrics that improve detection quality while managing false positives and user impact.
- Partner with Ads Delivery and Ads ML to integrate integrity checks into retrieval, ranking, auctions, pacing, and serving without compromising reliability or latency.
- Engineer resilient systems that adapt to changing adversarial tactics and support safe experimentation and effective incident response.
Nice to have
- Have 10+ years of experience building and operating large-scale distributed systems, ideally in ads integrity, trust and safety, anti-abuse, fraud, security, risk, or an adjacent domain.
Benefits
- Have combined rules, heuristics, machine-learning signals, human review, and feedback loops into dependable production systems.
- Are comfortable partnering with policy, operations, legal, safety, security, product, and machine-learning teams on ambiguous and sensitive problems.
Company info
- The Monetization team is a new cross-functional group spanning engineering, product, research, and design.
- We are building the foundational systems that will help OpenAI scale access to intelligence responsibly.
- Our mission is to create user-first, privacy-preserving monetization products-including next-generation ads experiences-that strengthen trust, expand economic opportunity, and support OpenAI's long-term innovation.
- We believe monetization should deliver clear user value, uphold rigorous privacy and safety standards, and sustain a healthy ecosystem for developers and businesses.
- The team operates in a greenfield environment, moving quickly through prototyping, experimentation, and iterative deployment.
- We partner closely across Product, Design, and Research to bring new capabilities into real-world systems at global scale.
This listing is sourced directly from OpenAI's careers page and normalized into a canonical job model.