Job Overview
Location
San Francisco
Job Type
Full-time
Category
Software Development
Date Posted
July 21, 2026
Full Job Description
đź“‹ Description
- • 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.
- • Define the technical strategy and roadmap for ads integrity across OpenAI’s monetization stack.
- • Operate systems with high engineering rigor through testing, observability, auditability, privacy and security reviews, and strong operational practices.
🎯 Requirements
- • 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.
- • Understand adversarial systems and have built detection, decisioning, enforcement, verification, or investigation capabilities.
- • Have combined rules, heuristics, machine-learning signals, human review, and feedback loops into dependable production systems.
- • Can reason about precision and recall, false positives, explainability, auditability, appeals, and the operational effects of automated enforcement.
- • Have built low-latency, high-throughput services or data pipelines with demanding reliability, correctness, privacy, and security requirements.
- • Are comfortable partnering with policy, operations, legal, safety, security, product, and machine-learning teams on ambiguous and sensitive problems.
- • Think holistically across threat models, architecture, data quality, observability, user impact, and advertiser trust.
- • Can define technical direction in an ambiguous 0→1 environment and independently drive complex work across teams.
- • Communicate clearly and make technical decisions grounded in safety, fairness, system health, and long-term ecosystem quality.
🏖️ Benefits
- • Relocation assistance to new employees.
- • Competitive salary and benefits package.
- • Opportunity to work on cutting-edge AI technology.
- • Collaborative and dynamic work environment.
- • Access to professional development opportunities.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About OpenAI, Inc.
OpenAI is a San Francisco-based artificial intelligence research and deployment company founded in 2015. It develops large-scale AI models such as GPT, DALL-E, and Codex, providing cloud APIs and consumer applications like ChatGPT. Originally established as a non-profit, it later created a capped-profit subsidiary to attract capital while maintaining its mission to ensure artificial general intelligence benefits all of humanity.
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