Build full-stack internal tools to enhance OpenAI model safety, focusing on mental health protections and policy workflows. Requires 5+ years experience with JavaScript/React, Python, and databases.
210k – 325k/yr
On-site5+ YOEFullstack Engineering
About the role
In this role, you will:
Own the end-to-end development of internal tools that help improve the safety of OpenAI’s models (with a focus on areas like mental health and other vulnerable-user protections)
Partner closely with Safety Systems researchers, engineers, and model policy creators to understand workflows, pain points, and requirements—and translate them into durable product solutions
Build full-stack experiences to support core model policy workflows, such as labeling and inspecting data, analyzing and reviewing failure cases, and surfacing insights for iteration
Optimize internal applications for usability, speed, and scale to increase team velocity and reduce time-to-fix for safety issues
Transform successful AI assisted safety workflows into external facing safety products, that empowers developers to build safer AI, uplift the industry standard for AI safety, and prepare the world for more capable AGI.
You might thrive in this role if you:
Have 5+ years of relevant engineering experience at tech and product-driven companies
Are proficient with JavaScript, React, and other web technologies
Are proficient with at least one backend language (Python)
Have experience with relational databases like Postgres/MySQL
Have an interest in AI/ML (direct experience not required)
Are excited to partner closely with researchers and policy writers to ship tools that directly improve the safety of OpenAI’s models
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