OpenAI11 дней назад
Software Engineer, Ads Integrity
Зарплата не указана
Полная занятостьУдалёнка
Обязанности
- 01Design and build real-time and offline systems that detect harmful, deceptive, fraudulent, or policy-violating ads, advertisers, creatives, and landing experiences
- 02Develop scalable risk-signal pipelines, rules and model-serving infrastructure, decision systems, and enforcement workflows across the ads lifecycle
- 03Build advertiser-verification, account-risk, abuse-prevention, and fraud-detection capabilities that raise the cost of adversarial behavior
- 04Create review and investigation tools that help operations and policy teams make fast, consistent, and explainable decisions
- 05Design feedback loops, labeling systems, and integrity metrics that improve detection quality while managing false positives and user impact
- 06Partner with Ads Delivery and Ads ML to integrate integrity checks into retrieval, ranking, auctions, pacing, and serving without compromising reliability or latency
- 07Engineer resilient systems that adapt to changing adversarial tactics and support safe experimentation and effective incident response
- 08Define the technical strategy and roadmap for ads integrity across OpenAI's monetization stack
- 09Operate systems with high engineering rigor through testing, observability, auditability, privacy and security reviews, and strong operational practices
Требования
- 0110+ years of experience building and operating large-scale distributed systems
- 02Experience in ads integrity, trust and safety, anti-abuse, fraud, security, risk, or an adjacent domain
- 03Understanding of adversarial systems and experience building detection, decisioning, enforcement, verification, or investigation capabilities
- 04Experience combining rules, heuristics, machine-learning signals, human review, and feedback loops into dependable production systems
- 05Ability to reason about precision and recall, false positives, explainability, auditability, appeals, and operational effects of automated enforcement
- 06Experience building low-latency, high-throughput services or data pipelines with demanding reliability, correctness, privacy, and security requirements
- 07Comfort partnering with policy, operations, legal, safety, security, product, and machine-learning teams on ambiguous and sensitive problems
- 08Ability to think holistically across threat models, architecture, data quality, observability, user impact, and advertiser trust
- 09Ability to define technical direction in an ambiguous 0→1 environment and independently drive complex work across teams
- 10Clear communication skills and ability to make technical decisions grounded in safety, fairness, system health, and long-term ecosystem quality
Условия
- 01Role based in San Francisco
- 02Relocation assistance to new employees