Member of Technical Staff - Post Training
Black Forest Labs, Freiburg (Germany)
What you will do
- 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
- Strong PyTorch fluency; you write research code that others can build on. You work fluently with coding agents to move faster, and have the depth to verify their output and own the result.
- Experience running multi-agent workflows: you know which tasks to hand off and which to keep yourself, and you use the speed-up to raise the quality bar, not lower it.
- Build personalization and customization capabilities that let users adapt our models to their own creative style