Product Engineer

blackforestlabs - Freiburg - Global - Construction & Infrastructure

<h2><strong>About Black Forest Labs</strong></h2> <p>We’re the team behind Latent Diffusion, Stable Diffusion, and FLUX—foundational technologies that changed how the world creates images and video. We’re creating the generative models that power how people make images and video—tools used by millions of creators, developers, and businesses worldwide. Our FLUX models are among the most advanced in the world, and we’re just getting started.</p> <p>Headquartered in Freiburg, Germany with a growing presence in San Francisco, we’re scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity.</p> <h2><strong>Why This Role</strong></h2> <p>We're looking for a Product Engineer to build the experiences people meet our models through.</p> <p>You'll work alongside our researchers and infrastructure engineers to turn frontier model capabilities into interfaces that feel fast, considered, and obvious to use.</p> <p>You'll own the surfaces developers and creatives touch first:</p> <ul> <li><a href="https://dashboard.bfl.ai/playground">Playground</a> - where most developers and creatives experience and test our models</li> <li><a href="https://dashboard.bfl.ai">Dashboard</a> - where developers manage keys, usage, and billing</li> <li>Launch demos for new FLUX models, often built against checkpoints nobody outside the lab has seen</li> <li>Reference implementations and starter apps that other developers build on top of</li> </ul> <p>Day to day, that means:</p> <ul> <li>Shipping high-quality web applications end to end, fast</li> <li>Turning research capabilities into product - first prototype through to production</li> <li>Owning frontend architecture and the practices the rest of the engineering team builds on</li> <li>Setting the visual bar - the shared components, interaction detail, and polish that everything else gets held against</li> <li>Designing for genuinely hard interaction problems: long-running generations, iterative editing, large media payloads, real-time inference</li> <li>Driving performance for high-volume media processing and latency that users actually feel</li> <li>Working with research, infra, growth, and design to decide what's worth building at all</li> </ul> <h2><strong>What You’ll Work On</strong></h2> <p>Most of our code is written by agents. The job is deciding what to build, decomposing it so agents can execute well, and reviewing what comes back with enough judgment to catch what's subtly wrong.</p> <p>We care far more about how quickly you can go from idea to working,

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