Black Forest Labs
Multimodal · Flux image-generation foundation models (Berlin)
Black Forest Labs currently has 8 active AI-related job listings. The listings are evenly distributed across post-training, pre-training, and data stages, each representing 25% of the open roles. Engineering is the most frequent function, with 5 roles, while Research has 3. The company is hiring for roles that frequently mention multimodal, fine-tuning, and model serving technologies. Over the last 30 days, Black Forest Labs has seen a 100% decrease in new AI roles, with 0 new listings compared to 2 in the previous 30-day period.
Currently tracking 8 active AI roles, down 29% versus the prior 4 weeks. Primary focus: Serve · Engineering. Salary range $180k–$300k (avg $240k).
Black Forest Labs currently has 8 active AI-related roles in our index. The most common open titles are: Forward Deployed, Robotics Engineer, Member of Technical Staff - Image / Video Generation, Member of Technical Staff - Infrastructure Engineer, Member of Technical Staff - Model Serving / API Backend Engineer, Member of Technical Staff - Post Training. Most positions are in Engineering and Research.
Black Forest Labs's active AI hiring is concentrated in: post-training (25%), pre-training (25%), data (25%). 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 mention: Generative AI, Image Generation, Video Generation, Scalability, PyTorch.
In the past 30 days, Black Forest Labs has posted 0 new AI-related roles.
Multimodal · Flux image-generation foundation models (Berlin)
| Title | Stage | AI score |
|---|---|---|
| Member of Technical Staff - Research Engineer This role focuses on optimizing and stabilizing large-scale training systems for multimodal generative models. It involves deep work on GPU performance, distributed training, low-precision techniques, and debugging complex training issues, bridging the gap between research ideas and production reality. | DataPretrain | 9 |
| 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 |