Black Forest Labs
generative AI
ForwardDeployedMachineLearningEngineer
“Forward Deployed Machine Learning Engineer at Black Forest Labs. Skills: Forward Deployed Machine Learning Engineering, Generative AI Deployment, Diffusion Models, Production ML Systems, Customer-facing ML Solutions. Ensure FLUX models perform optimally in customer environments. balance the eternal tension between latency and output quality”
What You'll Achieve.
Ensures FLUX models perform optimally in customer environments; bring frontier generative AI into production at scale
Industry & Context.
debugged them, optimized them, served them at scale; diagnose whether it's a model issue, an infrastructure issue, or a fundamental misunderstanding of what the model can do; diagnose performance bottlenecks; translate those findings into solutions
work remotely with a monthly in-person week to stay connected, cover reasonable travel costs to make this possible
What They're Looking For.
Must Have
Direct experience working with customers on generative AI deployment, Hands-on expertise with generative modeling approaches, particularly finetuning, optimizing, and serving deep learning models in production environments, A proven track record as an ML engineer who's shipped models that real systems depend on, Python skills and intuitive understanding of API design, The ability to explain why a diffusion model is slow to an executive and how to fix it to an engineer
Nice to Have
Deep knowledge of diffusion models and/or flow matching, including finetuning and distillation techniques that go beyond standard tutorials, Know the FLUX ecosystem intimately—ComfyUI, common training frameworks, the tools practitioners actually use, Battle-tested experience optimizing inference for transformer-based models, Can architect solutions in complex enterprise environments where "just add more GPUs" isn't an option, Contribute to open-source projects in the diffusion model space and understand the community, Deployed models on cloud platforms using state-of-the-art serving infrastructure
What You'll Do.
Ensure FLUX models perform optimally in customer environments
balance the eternal tension between latency and output quality
Architect deep product integrations
help customers with everything from model hosting and deployment to inference optimization techniques
Customize foundation models for visual media
Sits in technical deep-dives with customers
diagnose performance bottlenecks
translate those findings into solutions
Discovers where generative visual AI should go next by understanding what industries are struggling with problems we could solve
How You'll Work.
Team & Collaboration
Sits in technical deep-dives with customers; translate those findings into solutions (and sometimes into research questions for our core team); figuring these out together; collaboration over hero culture
Communication Scope
explain why a diffusion model is slow to an executive and how to fix it to an engineer—in the same meeting; honest technical conversations
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