Fullstack Software Engineer, Child Safety Tools & Systems
OpenAI
- Pay
- $266k–$385k
- Workplace
- On-site
- Location
- San Francisco · California · United States
- First seen
- 2 hours ago
- Last seen
- 2 hours ago
- Board
- Ashby
Summary
About the Team The Intelligence & Investigations Engineering team builds systems that detect, analyze, and disrupt abuse across OpenAI’s products.
- python
- typescript
- sql
- spark
- kafka
Posting
About the Team The Intelligence & Investigations Engineering team builds systems that detect, analyze, and disrupt abuse across OpenAI’s products. We partner closely with the Child Safety team and cross-functional groups to protect users while advancing OpenAI’s goal of developing AI that benefits everyone. About the Role As a Fullstack Engineer focused on child safety, you’ll build data-intensive, AI-powered applications and infrastructure that enable operators and investigators to work effectively and responsibly. You’ll adapt quickly in ambiguous, fast-moving environments to deliver well-crafted, reliable tooling for high-severity safety work. This role is based in San Francisco, CA. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. Candidates should understand this role involves exposure to sensitive and egregious content. In this role, you will: - 4+ years of experience as a software engineer - Prototype, build, and maintain intelligence systems that detect, triage, and enable efficient human review of possible high severity harm - Work hand in hand with operators and investigators, designing and delivering systems that enable them to do their work faster, more accurately, and more safely. - Develop across the stack: UIs, services, pipelines, and anything else required to solve the problems we face. - Interact with partners across Product Policy, Platform Integrity, Safety Systems, and Research - Contribute to the team’s technical strategy, especially for child safety related tools and systems - Report on impact in a data-driven fashion You might thrive in this role if you: - Have a strong software engineering foundation and enjoy owning systems end-to-end—from infrastructure and data ingestion to frontend tooling - Are energized by working at the frontier of AI capabilities, integrating new models and APIs into practical systems - Have experience building and operating large-scale data pipelines or search/retrieval systems - Are proficient in Python and/or TypeScript, and familiar with tools like Spark, Kafka, Flink, data warehouses, and SQL - Take a product-minded approach, design with user workflows in mind, and iterate quickly based on feedback - Favor pragmatic solutions and can ship in hacky, low-support environments when needed - Are comfortable navigating ambiguity and open-ended problem spaces with evolving goals - Have prior experience work