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OpenAI's Intelligence & Investigations Engineering team is seeking a Full-Stack Software Engineer to build data-intensive, AI-powered applications and infrastructure for child safety. You will work closely with the Child Safety team and cross-functional partners to detect, analyze, and disrupt abuse across OpenAI's products, protecting users while advancing AI safety.
In this role, you will prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of high-severity harm cases. You'll develop across the full stack—UIs, services, data pipelines, and infrastructure—to deliver reliable tooling for safety operations. You'll work hand-in-hand with operators and investigators to design systems that enable faster, more accurate, and safer work. You'll also interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research, contribute to technical strategy for child safety tools, and report impact in a data-driven fashion.
This role involves exposure to sensitive and egregious content as part of the safety work.
You should have a strong software engineering foundation and enjoy owning systems end-to-end. You'll be energized by working at the frontier of AI capabilities, integrating new models and APIs into practical systems. A product-minded approach is essential—you design with user workflows in mind and iterate quickly based on feedback. You favor pragmatic solutions and can ship in low-support environments when needed. You're comfortable navigating ambiguity and open-ended problem spaces with evolving goals. Prior experience working on engineering for high-severity harms is valuable, as is intuition for the pain points and workflows of operations and investigative teams.
Requirements:
- 7+ years of experience as a software engineer
- Strong proficiency in Python and/or TypeScript
- Experience building and operating large-scale data pipelines or search/retrieval systems
- Familiarity with tools such as Spark, Kafka, Flink, data warehouses, and SQL
- Prior experience working on engineering for high-severity harms
- Bonus: prior knowledge of child-safety-specific challenges such as secure handling of quarantined content and reporting to NCMEC
