Member of Technical Staff - ML Engineer (Moderation)

Freiburg im Breisgau, Baden-Württemberg, Germany, San Francisco, California, United States

Black Forest Labs

Amazing AI models from the Black Forest.

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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 currently looking for a ML Engineer to join us and focus on moderation.

As our ML Engineer for moderation you will be spearheading our efforts to ensure our models are best-in-class for being robust and free from the possibility of generating potentially dangerous, harmful or inappropriate (NSFW) content. 

The Role:

  • Design and implement real-time inference services and batch filters to automatically flag, block or triage user-generated content
  • Train, fine-tune and deploy state-of-the-art text and vision moderation models in production pipelines
  • Partner directly with enterprise clients to translate their content‐policy requirements into technical specifications and custom moderation rules
  • Collaborate with data-science and annotation teams to build, maintain and continuously improve high-quality datasets
  • Build monitoring, alerting and reporting dashboards to measure model performance (precision/recall, latency, drift) and operational health of implemented moderation measures
  • Research, prototype and integrate emerging techniques to develop novel moderation tools

Ideal Experience:

  • ML/AI experience, with a strong track record deploying deep‐learning models in production (text & computer-vision)
  • Hands-on expertise in PyTorch, MLOps tools, containerization (Docker/K8s) and REST serving
  • Familiarity with diffusion or flow-matching model families along with their moderation challenges
  • Strong software engineering skills: clean code, testing, CI/CD, scalable services
  • Excellent communicator—comfortable scoping requirements with non-technical stakeholders and translating them into technical deliverables
  • Experience working with large-scale datasets, active-learning frameworks and annotation tooling
  • Passion for working in a small, cross-functional team: willing to wear multiple hats, iterate quickly and help out in adjacent areas

Nice to have:

  • Familiarity with cloud platforms (AWS/GCP/Azure) and serverless architectures
  • Experience working in proven content moderation organisations 
  • Published work or open-source contributions in generative modelling or content moderation
  • Familiarity with visual generative AI community spaces and content

What we offer you:

  • The opportunity to contribute to frontier AI technology and join some of the pioneers and leaders in image generation.
  • Work alongside some of the most talented individuals in AI.
  • Competitive salary and equity programme.
  • Hybrid working environment from our HQ in Freiburg or San Francisco.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture AWS Azure CI/CD Docker Engineering GCP Generative AI Kubernetes Machine Learning MLOps Open Source Pipelines PyTorch Research Stable Diffusion Testing

Perks/benefits: Competitive pay Equity / stock options Startup environment

Regions: Europe North America
Countries: Germany United States

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