Member of Technical Staff - Image / Video Generation

Overview

About Black Forest Labs 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 ge

What you'll do

• About Black Forest Labs 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.
• 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.
• Why This Role You'll train large-scale diffusion models for image and video generation, exploring new approaches while maintaining the rigor that helps us distinguish meaningful progress from incremental tweaks.
• This isn't about following established recipes-it's about running the experiments that clarify which architectural choices matter and which are less impactful.
• What You’ll Work On Trains large-scale diffusion transformer models for image and video data, working at the scale where intuitions break and empirical evidence matters Rigorously ablates design choices-running experiments that isolate variables, control for confounds, and produce insights you can actually trust-then communicating those results to shape our research direction Reasons about the speed-quality tradeoffs of neural network architectures in production settings where both constraints matter simultaneously Fine-tunes diffusion models for specialized applications like image and video upscalers, inpainting/outpainting models, and other tasks where general-purpose models aren't enough What We’re Looking For You've trained large-scale diffusion models and developed strong intuitions about what matters.
• You know that at research scale, every design choice has tradeoffs, and the only way to know which ones are worth making is through careful ablation.
• You're comfortable debugging distributed training issues and presenting research findings to the team.
• You likely have: Hands-on experience training large-scale diffusion models for image and video data, with practical knowledge of common failure modes and what matters most in training Experience fine-tuning diffusion models for specialized applications-upscalers, inpainting, outpainting, or other tasks wher.

Requirements

• Practical experience with Research.
• Relevant academic or project background for a Member of Technical Staff - Image / Video Generation role.
• Strong written and verbal communication in English.
• Comfortable working on-site in Remote.

Skills