Software Engineer, Safety Engineering

We’re looking for a self-starter engineer who loves building products in an iterative, fast-moving environment—especially internal tools that unlock real-world impact. In this role, you’ll build full-stack tooling for our Safety Systems teams that directly improves the safety and reliability of OpenAI’s models, including in sensitive areas like mental health and other vulnerable-user protections. Your work will increase the team’s velocity in identifying and fixing safety issues and help tighten the feedback loop between policy, data, and the model training cycle.

Responsibilities

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

Requirements

5+ years of relevant engineering experience at tech and product-driven companies; Proficient with JavaScript, React, and other web technologies; Proficient with at least one backend language (we use Python); Experience with relational databases like Postgres/MySQL; Interest in AI/ML (direct experience not required); Excited to partner closely with researchers and policy writers to ship tools that directly improve the safety of OpenAI’s models

Nice to have

Direct experience in AI/ML