Full Stack Software Engineer

Responsibilities

• Design, build, and launch end-to-end product experiences for image generation and image editing within ChatGPT.
• Develop highly interactive frontend experiences that make sophisticated AI capabilities feel intuitive, fast, and delightful.
• Build scalable backend services, APIs, and workflows that power image creation, editing, storage, sharing, and retrieval.
• Partner closely with researchers to rapidly prototype and productionize new multimodal capabilities.
• Collaborate with Product, Design, Data Science, and Engineering teams to identify high-impact opportunities and execute against them.
• Own projects from concept through launch, including technical design, implementation, experimentation, measurement, and iteration.
• Optimize performance across the stack, from frontend responsiveness and rendering to backend latency, reliability, and scalability.
• Design systems that can support millions of users generating and interacting with visual content simultaneously.
• Leverage experimentation and user insights to improve engagement, usability, quality, and product outcomes.
• Contribute to engineering best practices around architecture, testing, observability, developer productivity, and operational excellence.
• Help define the future roadmap for AI-powered creative tools and visual experiences.

Requirements

• Experience building and shipping production-grade applications across both frontend and backend systems.
• Comfortable working with modern web technologies such as React, TypeScript, and contemporary frontend frameworks.
• Experience building scalable backend services, APIs, and distributed systems.
• Strong product instincts and ability to think deeply about how users interact with technology.
• Highly analytical and comfortable using experimentation, metrics, and user feedback to drive decision-making.
• Ability to thrive in fast-moving environments where priorities evolve quickly.
• Experience collaborating with cross-functional partners including researchers, designers, product managers, and data scientists.

Nice-to-Haves

• Experience with media platforms, creative tools, image processing, content creation products, or AI-powered applications.