Member of Technical Staff - ML Infrastructure Engineer

Overview

Black Forest Labs is a cutting-edge startup pioneering generative image and video models. Our team, which invented Stable Diffusion, Stable Video Diffusion, and FLUX.1, is seeking a strong candidate to join us in developing and maintaining our ML infrastructure, including large GPU training and inference clusters.

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

Ideal Experience

Nice to have

EEO and Privacy

Black Forest Labs is an equal opportunity employer. We do not discriminate on the basis of any protected status under applicable law. Employment is contingent on compliance with applicable laws and regulations. Voluntary self-identification of disability information is requested for government reporting purposes; participation is voluntary and will not affect hiring decisions. Any information provided is confidential.

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