Black Forest Labs

Research role focused on leading large-scale pretraining experiments for multimodal foundation models (image, video, audio), involving architecture, objective functions, and training algorithms. Requires prior experience leading pretraining for production models and strong distributed training skills.

Research role focused on developing and integrating state-of-the-art vision-language models (VLMs) into the FLUX generative AI stack, innovating on architectures and improving multimodal understanding for enhanced generation quality and controllability.

This role focuses on the post-training pipeline for multimodal generative models, including data strategy, reward modeling, preference optimization, distillation, and safety tuning. The goal is to improve model quality and align them with human intent, with a strong emphasis on shipping these improvements to users.

Research role focused on training and fine-tuning large-scale diffusion models for image and video generation, involving rigorous experimentation, ablation studies, and understanding speed-quality tradeoffs in production settings.

Solutions Architect role focused on bridging the gap between generative AI research and customer production integrations. Responsibilities include customer onboarding, guiding on prompting, inference optimization, evaluation, and finetuning, creating technical enablement resources, and translating customer feedback to engineering and research teams. Requires deep understanding of generative AI, experience serving models in production, Python proficiency, and strong communication skills.

Designs, deploys, and maintains ML infrastructure for training and inference clusters, optimizing for researcher iteration speed and production inference performance. Focuses on cloud platforms, Kubernetes, Slurm, IaC, and CI/CD for ML workflows.

Infrastructure Engineer role focused on building and maintaining the large-scale training platforms and research infrastructure that powers generative AI model development, including scaling compute clusters, ensuring reliability, and optimizing performance.

Account Executive role at an AI company (known for Stable Diffusion, FLUX models) focused on selling generative AI products (API access, weight licensing) to SMBs, startups, and enterprises. The role involves full-cycle sales, account management, and collaboration with technical teams.

This role is for a Strategic Finance/FP&A professional at an AI company focused on generative models (Stable Diffusion, Latent Diffusion). The individual will build financial planning processes, models, and decision frameworks to support resource allocation in a rapidly evolving market. Responsibilities include owning the planning cycle, building financial models for various revenue streams and compute costs, delivering business reviews, leading scenario planning for strategic initiatives, and collaborating with engineering on GPU infrastructure. The role requires experience in high-growth environments, advanced modeling skills, fluency in SaaS metrics, and curiosity about AI-powered finance workflows.

Infrastructure engineer focused on building and optimizing data systems for large-scale AI model training runs at peta-to-exabyte scale, involving scalable data loaders, efficient storage, and multi-cloud object storage abstraction.

This role is for a Senior Account Executive at Black Forest Labs, a company known for generative AI models like Stable Diffusion. The primary focus is on driving adoption of their AI technologies across enterprise and strategic partners, managing complex sales cycles involving APIs, on-prem deployments, and custom licensing. The role requires translating technical interest into long-term partnerships and working closely with internal teams to guide customers from evaluation to production.

This role focuses on architecting the commercial layer of generative AI technologies, specifically in image and video creation. The Senior Partnerships Manager will drive business growth through strategic partnerships, develop innovative pricing models for rapidly evolving products, and identify new distribution channels. The role requires deep technical fluency to translate complex AI capabilities into commercial value propositions and collaborate with technical teams, finance, and legal on complex deals. It is a product-focused role aimed at commercializing advanced AI technologies.