Member of Technical Staff - Post Training
Hybrid (Freiburg or SF)€130k - €340kFull-timePosted 6mo ago
About the role
Post-training pipeline lead for multimodal foundation models, spanning data strategy, reward modeling, preference optimization, distillation, safety tuning, and deployment to align models with human intent across image, editing, and video.
Responsibilities
- 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 modeling to align models with human intent and aesthetic judgment
- Work across modalities: text-to-image, image editing, multi-reference, and video post-training
- Build personalization and customization capabilities that let users adapt our models to their own creative style
- Design and maintain high-throughput fine-tuning and evaluation infrastructure to support rapid iteration across the research team
- Identify quality and alignment gaps through rigorous evaluation, then close them through targeted research and engineering
Qualifications
- You've owned post-training for a frontier generative model through release (SFT, preference optimization (DPO or RLHF), distillation, safety tuning) with measurable quality wins on human prefs or standard benchmarks
- Deep experience across the post-training stack, not just one slice: reward modeling, preference learning, RLHF/RLAIF, and personalization
- Comfortable working across modalities: text-to-image, image editing, multi-reference, and ideally video
- Strong PyTorch fluency; you write research code that others can build on
- Experience with distillation (LADD, DMD, consistency models, or similar) or with building high-throughput eval pipelines is a strong plus
- Bias toward shipping: measurable model-quality improvements that reach users, not just papers
Skills
Required:Post-training pipeline ownershipReward modelingPreference learning / RLHF / RLAIF / DPOPyTorch
Nice to have:Distillation
Last updated Aug 12, 2026. Interested? Apply on the company site.
About Black Forest Labs
The frontier AI research lab for visual intelligence.
Cutting-edge generative AI models from Black Forest Labs.
APIenterprise AIgenerative AIimage generationliquid-ai-recruiting-targetmodel deploymentopen weightsphoto-realistic output
More open roles at Black Forest Labs
- Senior Partnerships Manager2mo agoHybrid (San Francisco / US locations) · GTM
- Field Marketing Manager2mo agoMarketing
- IT Engineer2mo agoFreiburg, Germany, Hybrid (San Francisco, USA) · Engineering
- Product Engineer2mo agoHybrid (Freiburg, Germany) · Product
- Management Accountant3mo agoFreiburg · Finance