Black Forest Labs
Multimodal · Flux image-generation foundation models (Berlin)
Black Forest Labs currently has 9 active AI-related job listings. The company is hiring across multiple stages of AI development, with serving infrastructure roles making up 33% of the openings, followed by post-training, pre-training, and data roles, each at 22%. Engineering is the most frequent function, with 6 positions, while research accounts for 3. The majority of these roles are located in the United States. Frequent technical tags include fine_tuning, model_serving, vision, and multimodal.
Multimodal · Flux image-generation foundation models (Berlin)
Currently tracking 8 active AI roles, up 17% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $180k–$300k (avg $240k).
Black Forest Labs currently has 9 active AI-related roles in our index. The most common open titles are: Developer Experience Engineer, Forward Deployed Machine Learning Engineer, Member of Technical Staff - Image / Video Generation, Member of Technical Staff - Infrastructure Engineer, Member of Technical Staff - Large Scale Data Infrastructure. Most positions are in Engineering and Research.
Black Forest Labs's active AI hiring is concentrated in: serving infrastructure (22%), post-training (22%), pre-training (22%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Black Forest Labs is hiring AI talent in: United States (1 role).
Job postings at Black Forest Labs most frequently reference: model serving, fine tuning, vision, multimodal, frontier research.
In the past 30 days, Black Forest Labs has posted 1 new AI-related role.
| Title | Stage | AI score |
|---|---|---|
| Member of Technical Staff - Pretraining 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. | Pretrain | 10 |
| Member of Technical Staff - VLM 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. | PretrainPost-train | 9 |
| Member of Technical Staff - Post Training 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. | Post-train | 9 |
| Forward Deployed Machine Learning Engineer Machine Learning Engineer focused on deploying and optimizing generative AI models (specifically diffusion models) in production environments for customers. This involves deep product integrations, inference optimization, fine-tuning, and diagnosing performance bottlenecks. | ServePost-train | 9 |
| Member of Technical Staff - Image / Video Generation 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. | Post-train | 9 |
| Senior Solutions Architect 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. | ServePost-train | 8 |
| Member of Technical Staff - Infrastructure Engineer 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. | Data | 7 |
| Developer Experience Engineer This role focuses on enhancing the developer experience for Black Forest Labs' generative AI platform, FLUX. The engineer will own the end-to-end developer experience, ensuring it's seamless for both human developers and AI agents. This involves working on API contracts, SDKs, dashboards, and agent-specific features to make BFL the preferred platform for visual AI development. | Agent | 5 |
| Commercial Counsel Commercial Counsel for Black Forest Labs, a company specializing in generative AI models like Stable Diffusion. The role involves drafting and negotiating commercial agreements (API licensing, SaaS, model access), supporting US and EU go-to-market deals, and advising on AI-specific legal matters such as IP, training data rights, and regulatory compliance. Requires 7+ years of legal experience in technology transactions, with a preference for AI/ML or foundational model licensing experience. | — | 5 |
| Account Executive 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. | — | 5 |
| Member of Technical Staff - Large Scale Data Infrastructure 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. | Data | 5 |
| Senior Account Executive 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. | — | 5 |
| Senior Partnerships Manager 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. | — | 5 |
| People Partner This is a People Partner role at an AI company (Black Forest Labs, known for Latent Diffusion, Stable Diffusion, FLUX). The role focuses on HR functions like performance management, leadership coaching, workforce planning, employee relations, and core People Operations processes (onboarding, offboarding, compliance, HRIS). The ideal candidate has 6+ years of HR experience, preferably in tech (deep tech preferred), with experience in or alongside European-headquartered companies. They need a strong understanding of US employment law and the ability to operate strategically and hands-on. The company values research excellence and open science. | — | 0 |