Member of Technical Staff - Post Training

Black Forest Labs
Freiburg
Workplace: OnsiteFull timeFunction: Education & TrainingSkills: ["Problem-solving","Communication","Collaboration"]

Owner of the post-training pipeline for frontier multimodal models, delivering data curation, reward modeling, fine-tuning, and safety tuning end-to-end. Drives improvements across SFT, RLHF/RLAIF, distillation, and personalization, building high-throughput infrastructure for rapid research iteration across image, editing, and video modalities.

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FursaFursa
Black Forest Labs
Black Forest Labs
3 months ago

Member of Technical Staff - Post Training

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Owner of the post-training pipeline for frontier multimodal models, delivering data curation, reward modeling, fine-tuning, and safety tuning end-to-end. Drives improvements across SFT, RLHF/RLAIF, distillation, and personalization, building high-throughput infrastructure for rapid research iteration across image, editing, and video modalities.
Location: Freiburg
Workplace: Onsite
Employment Type: Full time
Job Function: Education & Training

Key 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.

Key Requirements

  • •Own post-training for a frontier generative model through release with measurable quality wins on human prefs or benchmarks.
  • •Deep experience across the post-training stack (reward modeling, preference learning, RLHF/RLAIF, personalization).
  • •Comfortable working across modalities (text-to-image, image editing, multi-reference, video).
  • •Strong PyTorch fluency; write research code that others can build on.
  • •Experience with distillation or building high-throughput evaluation pipelines is a strong plus.
Experience:Artificial intelligenceMachine learning
Skills:Problem-solvingCommunicationCollaboration
Languages:English
Tech Stack:PyTorchSFTRLHFRLAIFDPODistillationEvaluation pipelines

Company Brief

Black Forest Labs
Develops AI-driven solutions and provides machine learning consultancy to help businesses integrate advanced models and data-driven workflows. Focuses on prototyping, model deployment, and bespoke AI services to address industry-specific problems.
Industry: Consulting
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