Safety Systems Engineer: Build AI Safety Tools

OpenAI; San Francisco (CA); On-site; USD 207,000 - 385,000; Full time

Job summary

OpenAI is seeking a Software Engineer for Safety Engineering in San Francisco to build internal tools that improve the safety and reliability of our models. You will work across product engineering, data, and policy to ship durable solutions.

The role involves end-to-end development of internal tooling, collaboration with researchers and policy writers, and turning AI safety workflows into scalable products.

Qualifications

• 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).
• Have experience with relational databases like Postgres/MySQL.
• Are excited to partner with researchers and policy writers to ship tools that directly improve the safety of OpenAI’s models.

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.

Skills

JavaScript

React

Python

PostgreSQL/MySQL

Job description

OpenAI is seeking a Software Engineer for Safety Engineering in San Francisco to build internal tools that improve the safety and reliability of our models. You will work across product engineering, data, and policy to ship durable solutions.

The role involves end-to-end development of internal tooling, collaboration with researchers and policy writers, and turning AI safety workflows into scalable products.