Member of Technical Staff - Post Training
Black Forest Labs - Freiburg (Germany)
Posted Apr 20, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
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About this role
Member of Technical Staff - Post Training Freiburg (Germany) About Black Forest Labs We're the team behind Latent Diffusion, Stable Diffusion, and FLUX - foundational technologies that changed how the world creates images and video. Our models power the tools used by millions of creators, developers, and businesses worldwide, and FLUX is among the most advanced generative systems in the world. Headquartered in Freiburg, Germany with a growing presence in San Francisco, we're scaling fast while staying true to what makes us different: research excellence, open science, and building technology that expands human creativity. Why This Role Post-training is where a foundation model becomes a product. In this role, you'll own the post-training pipeline for our multimodal models end to end - from data strategy and reward modeling to preference optimization, distillation, and safety tuning - across image, editing, and video. You'll drive measurable gains in model quality, build the infrastructure that lets the whole research team iterate fast, and push the state of the art in what it means to align a generative model to human intent. This is a Staff / Senior IC role. We're looking for someone who has shipped post-training for a frontier model before and wants to do it again. What You'll Work On - Own the full post-training pipeline end to end - from data curation and reward modeling through fine-tuning, preference optimization, distillation, safety tuning, evaluation, and deployment - Advance techniques across the post-training stack: SFT, RLHF, RLAIF, DPO, preference learning, and reward
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