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OpenAI

Full Stack Software Engineer, ChatGPT ImageGen

San Francisco (Remote)$185k–$385kfulltimemidAdded 1 month ago

About this role

Join OpenAI's Image Generation team as a Full Stack Engineer to build end-to-end AI-powered visual creation experiences within ChatGPT. You'll develop intuitive frontend interfaces and scalable backend systems that enable millions of users to generate, edit, and interact with images through natural language.

What you'll do

  • Design and launch end-to-end product experiences for image generation and editing in ChatGPT
  • Build interactive frontend experiences using modern web technologies
  • Develop scalable backend services, APIs, and workflows for image creation and storage
  • Partner with researchers to prototype and productionize new multimodal capabilities
  • Own projects from concept through launch, including design, implementation, and iteration
  • Optimize performance and design systems supporting millions of concurrent users

What they're looking for

  • Full stack software development (frontend and backend)
  • React and TypeScript
  • Scalable backend services and distributed systems
  • API design
  • Performance optimization
  • Product thinking and user experience design
  • Data analysis and experimentation
  • Cross-functional collaboration
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OpenAI

OpenAI builds AI infrastructure and products, including large-scale data center campuses for AI computing and generative AI applications for enterprise customers. The company is hiring civil engineers, project engineers, electrical design engineers, data center R&D engineers, and AI deployment engineers to expand its infrastructure capabilities and help customers deploy AI solutions.

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Likely interview questions

  • Walk us through a full-stack feature you've shipped end-to-end. How did you approach the technical design across frontend and backend, and what was your biggest challenge?
  • Describe your experience building interactive frontend experiences with React and TypeScript. How do you approach performance optimization when dealing with real-time user interactions?
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