Black Forest Labs

👥 20-100💰 $30,202,193 Seed 7 months agoArtificial Intelligence (AI)Media and EntertainmentGenerative AISoftware💼 Private Company
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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:

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📍 Germany, USA, UK

🔍 Generative AI

  • 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.
  • 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 19 days ago
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🔥 Head of Finance
Posted about 1 month ago

📍 Germany, USA, UK

🔍 AI, generative image and video models

  • 5-10 years of relevant FP&A experience, with a very deep mastery of all nuances of accounting, and ideally at a fast growing B2B company.
  • Strong understanding of multi-entity, international financial operations.
  • Deep expertise in financial modeling, planning, and analysis.
  • Experience in scaling finance operations and implementing ERP systems in high-growth environments without a large team around you.
  • Knowledge of transfer pricing principles and their impact on financial reporting.
  • Professional accounting qualification (CPA, ACCA, or equivalent), Advanced degree in Finance, Accounting, or related field.
  • Outstanding communication abilities with both technical and non-technical stakeholders.
  • Excitement about working in a fast-paced, dynamic environment and adapt well to change.
  • Experience working with both API and licensing based revenue models.
  • Drive core strategic financial and planning processes at the corporate and functional levels, including budgeting, forecasting, and performance analysis.
  • Design and implement scalable financial controls and accounting infrastructure.
  • Lead financial strategy and consolidated reporting across multiple business entities while ensuring regulatory compliance.
  • Oversee all aspects of financial operations including AR/AP, bookkeeping, and tax declarations.
  • Manage cash flow planning and optimization.
  • Lead annual audit processes.
  • Establish efficient processes that can scale with BFL's growth.

Financial ManagementAccountingBudgetingFinancial analysis

Posted about 1 month ago
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🔥 Developer Relations
Posted about 1 month ago

📍 Germany, USA, UK

🔍 AI/Deep Learning

  • Familiarity with AI/Deep Learning ML tooling (e.g., PyTorch, transformer architectures).
  • Understanding of basic ML concepts and deep learning architectures.
  • Familiarity with basic frontend development and demo tools.
  • Experience with AI orchestration tools and open-source communities.
  • Exceptional communication skills in explaining technical concepts.
  • Analytical, data-driven mindset and adaptable team player.
  • Passion for AI and continuous learning.
  • Design technical content, including documentation, tutorials, and product demonstrations.
  • Create developer-focused content showcasing product capabilities.
  • Develop sample code and integration guides.
  • Lead community development initiatives and nurture the developer community.
  • Lead developer relations programs and provide technical support.
  • Represent the company at industry events and conferences.

Frontend DevelopmentMachine LearningPyTorchREST APITechnical support

Posted about 1 month ago
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📍 Germany, USA

🔍 Generative image and video models

  • 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.
  • 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 3 months ago
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📍 Germany, USA

🔍 Generative image and video models

  • 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.
  • 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 3 months ago
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📍 Germany, USA

🔍 Generative image and video models

  • 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
  • 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 3 months ago
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