11 hours ago
Base Salary
$293k - $385k/yr
Responsibilities
- Design and build large-scale backend systems that detect and prevent harmful, deceptive, fraudulent, and policy-violating activity across the ads ecosystem.
- Build low-latency integrity infrastructure, risk-signal pipelines, decision systems, rules, and enforcement systems.
- Develop advertiser onboarding, business verification, account-risk, fraud-detection, content-safety, spam-prevention, and abuse-prevention capabilities.
- Integrate ML-based signals into real-time and asynchronous production integrity systems in partnership with ML engineers and researchers.
- Build feedback loops, review systems, integrity metrics, investigation tooling, and infrastructure for operations and policy teams.
- Engineer systems that adapt to changing adversarial tactics and support experimentation, monitoring, incident response, reliability, latency, and product quality.
- Define technical strategy and architecture for Ads Integrity while partnering across Ads, Engineering, Product, Policy, Safety, Security, Operations, and ML teams.
Requirements
- Significant experience building and operating large-scale backend or distributed systems.
- Experience in integrity, trust and safety, anti-abuse, fraud, risk, security, business verification, or another domain involving sophisticated or evolving adversaries.
- Experience building production detection, decisioning, enforcement, verification, investigation, or risk infrastructure.
- Understanding of how rules, heuristics, risk signals, ML-based signals, and human review work together in dependable production systems.
- Experience building low-latency, high-throughput services or data pipelines with demanding reliability, correctness, privacy, and security requirements.
- Ability to reason about false positives, adversarial behavior, explainability, auditability, threat models, data quality, observability, and operational impact.
- Ability to define technical direction in an ambiguous 0-to-1 environment and independently drive complex cross-team work.
- Clear communication and effective collaboration across engineering, product, policy, safety, security, operations, and machine-learning teams.
- Experience with ads, ads integrity, advertiser systems, or ads fraud is a preferred qualification but not required.
Benefits
- The role is based in San Francisco.
- Relocation assistance is offered to new employees.
Categories
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.