Member of Technical Staff - ML Engineer (Moderation)
Freiburg im Breisgau, Baden-Württemberg, Germany, San Francisco, California, United States
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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
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