Fullstack Engineer, Safety Engineering
About the Team The Safety Systems org is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transp
What this role actually needs.
Fullstack Engineer, Safety Engineering at OpenAI in San Francisco. UpJobz keeps this listing high-signal for applicants targeting serious high-tech roles across the United States, Canada, and Mexico. About the Team The Safety Systems org is responsible for various safety work to ensure our best models can be safely deployed to the real world to benefit the society and is at the forefront of OpenAI's mission to build and deploy safe AGI, driving our commitment to AI safety and fostering a culture of trust and transp
Day-to-day expectations
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- 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.
- Have 5+ years of relevant engineering experience at tech and product-driven companies
What a strong candidate brings
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- 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.
- 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 (we use Python)
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- Tailor your resume around ai and machine-learning instead of sending a generic application.
- Use the first two bullets of your application to connect your background directly to fullstack engineer, safety engineering is a high-signal on-site role in san francisco, and it is most realistic for united states residents.
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- Use united states residents as part of your positioning so the recruiter does not have to infer it.
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