Black Forest Labs

👥 20-100💰 $30,202,193 Seed 8 months agoArtificial Intelligence (AI)Media and Entertainment Generative AI Software💼 Private Company

Website LinkedIn Twitter

Black Forest Labs is a cutting-edge startup pioneering the development of generative image and video models. We're the team behind groundbreaking innovations like Stable Diffusion, Stable Video Diffusion, and FLUX.1, pushing the boundaries of what's possible in AI-driven visual content creation. Our impact resonates throughout the industry, shaping the future of digital art, entertainment, and more. We offer a fast-paced, collaborative environment where talented individuals can make significant contributions. Our technology stack is built upon a foundation of Python, PyTorch, Kubernetes, and various cloud platforms (AWS, Azure, or GCP), emphasizing efficient infrastructure management and cutting-edge model optimization. We employ a robust CI/CD pipeline, ensuring rapid iteration and deployment of high-quality models. While the exact employee count isn't publicly available, we operate as a dynamic, collaborative team focused on innovation and pushing the boundaries of generative AI. We are actively seeking talented individuals to join our mission. Our engineering culture values both independent contribution and team collaboration. We foster an environment of continuous learning and improvement, providing opportunities for professional development and growth. Our open approach to development and deployment ensures high quality, robust and scalable solutions. We actively seek to improve our infrastructure and tooling, and encourage engineers to contribute ideas and suggestions to this process. We believe in building a strong, cohesive team working together to achieve ambitious goals. Black Forest Labs is at the forefront of the generative AI revolution. We're expanding rapidly and looking for driven individuals who want to be part of something truly transformative. We prioritize innovation and creating impactful products. While specific funding details aren't disclosed, our consistent progress and the impact of our technology demonstrate significant market traction.

Jobs at this company:

Apply

🔥 Member of Technical Staff - Multimodal VLM/LLM Researcher

Posted 2 months ago

📍 Germany, USA, UK

🔍 Generative AI

🔧 Requirements

Demonstrated expertise in training and fine-tuning large-scale vision-language models.
Strong publication record or practical experience with relevant projects in multimodal AI research.
Proficiency in PyTorch or similar deep learning frameworks.
Experience with distributed training systems and large-scale model optimization.
Track record of implementing and scaling AI models in production environments.

💡 Responsibilities

Run the development and training of state-of-the-art multimodal vision-language models within the FLUX technology stack.
Design and implement specialized fine-tuning strategies for VLMs.
Drive innovation by integrating VLM/LLM capabilities into our media generation pipeline.
Conduct research to combine vision and language models for enhanced capabilities.
Maintain cutting-edge knowledge in multimodal AI and LLM research.
Evaluate emerging models for potential integration.
Collaborate with cross-functional teams for model implementation and deployment.
Contribute to architectural and technical planning.
Document and share research findings.

Machine LearningPyTorch

Posted 2 months ago

Apply

🔥 Member of Technical Staff - Image / Video Data Engineer

Posted 4 months ago

📍 Germany, USA

🔍 Generative image and video models

🔧 Requirements

Proficiency in Python and various file systems for data-intensive manipulation and analysis.
Familiarity with cloud computing platforms (AWS, GCP, or Azure) and Slurm/HPC environments for distributed data processing.
Experience with image and video processing libraries (e.g., OpenCV, FFmpeg).
Demonstrated ability to optimize and parallelize data processing workflows across CPUs and GPUs.
Familiarity with data annotation and captioning processes for ML training datasets.
Knowledge of machine learning techniques for data cleaning and preprocessing.

💡 Responsibilities

Develop and maintain scalable infrastructure for large-scale image and video data acquisition.
Manage and coordinate data transfers from various licensing partners.
Implement and deploy state-of-the-art ML models for data cleaning, processing, and preparation.
Implement scalable and efficient tools to visualize, cluster, and deeply understand the data.
Optimize and parallelize data processing workflows to handle billion-scale datasets efficiently.
Ensure data quality, diversity, and proper annotation for training readiness.
Get training data from alternative sources into trainable format.
Work closely in the model development loop to update data as required by training.

AWSPythonGCPHadoopMachine LearningOpenCV

Posted 4 months ago

Apply

🔥 Member of Technical Staff - Pretraining / Inference Optimization

Posted 5 months ago

📍 Germany, USA

🔍 Generative image and video models

🔧 Requirements

Familiarity with effective techniques in optimizing inference and training workloads.
Knowledge in optimizing for both memory-bound and compute-bound operations.
Understanding of GPU memory hierarchy and computation capabilities.
Deep understanding of efficient attention algorithms.
Experience implementing forward and backward Triton kernels with a focus on correctness and floating-point errors.
Ability to integrate custom-written kernels into a PyTorch framework using tools like pybind.

💡 Responsibilities

Finding ideal training strategies for various model sizes and compute loads.
Profiling, debugging, and optimizing single and multi-GPU operations using tools such as Nsight.
Reasoning about speed and quality trade-offs of quantization for model inference.
Developing and improving low-level kernel optimizations for state-of-the-art inference and training.
Innovating new ideas to maximize GPU performance.

PythonSoftware DevelopmentArtificial IntelligenceGitMachine LearningNumpyPyTorchAlgorithmsGoLinux

Posted 5 months ago

Apply

🔥 Member of Technical Staff - Model Serving / API Backend

Posted 5 months ago

📍 Germany, USA

🔍 Generative image and video models

🔧 Requirements

Strong proficiency in Python and its ecosystem for machine learning, data analysis, and web development
Extensive experience with RESTful API development and deployment for ML tasks
Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
Knowledge of cloud platforms (AWS, GCP, or Azure) for deploying and scaling ML services
Proven track record in rapid ML model prototyping using tools like Streamlit or Gradio
Experience with distributed task queues and scalable model serving architectures
Understanding of monitoring, logging, and observability best practices for ML systems

💡 Responsibilities

Develop and maintain robust APIs for serving machine learning models
Transform research models into production-ready demos and MVPs
Optimize model inference for improved performance and scalability
Implement and manage user preference data acquisition systems
Ensure high availability and reliability of model serving infrastructure
Collaborate with ML researchers to rapidly prototype and deploy new models

AWSDockerPythonData AnalysisFrontend DevelopmentGCPKubernetesMachine LearningVue.JsAzureAngularReactCI/CD

Posted 5 months ago

Apply

🔥 Member of Technical Staff - ML Infra

Posted 5 months ago

📍 Germany, USA

🔍 Generative image and video models

🔧 Requirements

Strong proficiency in cloud platforms (AWS, Azure, or GCP) with focus on ML/AI services.
Extensive experience with Kubernetes and Slurm cluster management.
Expertise in Infrastructure as Code tools (e.g., Terraform, Ansible).
Proven track record in managing and optimizing network-based cloud file systems and object storage.
Experience with CI/CD tools and practices (e.g., CircleCI, GitHub Actions, ArgoCD).
Strong understanding of security principles and best practices in cloud environments.
Experience with monitoring and observability tools (e.g., Prometheus, Grafana, Loki).
Familiarity with ML workflows and GPU infrastructure management.
Demonstrated ability to handle complex migrations and breaking changes in production environments.

💡 Responsibilities

Design, deploy, and maintain cloud-based ML training (Slurm) and inference (Kubernetes) clusters.
Implement and manage network-based cloud file systems and blob/S3 storage solutions.
Develop and maintain Infrastructure as Code (IaC) for resource provisioning.
Implement and optimize CI/CD pipelines for ML workflows.
Design and implement custom autoscaling solutions for ML workloads.
Ensure security best practices across the ML infrastructure.
Provide developer-friendly tools and practices for efficient ML operations.

AWSGCPKubernetesAzureGrafanaPrometheusCI/CDTerraform

Posted 5 months ago

Apply

🔥 Member of Technical Staff - Image / Video Researcher

Posted 5 months ago

📍 Germany, USA

🔍 Generative image and video models

🔧 Requirements

Training large scale Diffusion models for image and video data.
Finetuning Diffusion models for applications like upscalers and in/out painting models.
Deep understanding of evaluating image and video generative models.
Strong proficiency in PyTorch and other NN architectures.
Understanding of training techniques such as FSDP, low precision training, and model parallelism.

💡 Responsibilities

Training large scale Diffusion (transformer) models for image and video.
Rigorously ablating design choices and communicating results & decisions with the broader team.
Reasoning about the speed and quality trade-offs of neural network architectures.

PythonSoftware DevelopmentGitJavaJavascriptMachine LearningNumpyPyTorchAlgorithmsGo

Posted 5 months ago

Apply