# Member of Technical Staff - Post Training

**Company:** [Black Forest Labs](https://hotfix.jobs/companies/black-forest-labs)
**Location:** Freiburg, Germany
**Role:** ML Engineering
**Salary:** €130k – €340k/yr
**Experience:** 7+ years
**Skills:** PyTorch, Sft, RLHF, Rlaif, Dpo, Reward Modeling, Preference Learning, Distillation, Safety Tuning, Generative Models, Multimodal Models, Evaluation Pipelines, Ladd, Dmd, Consistency Models
**Posted:** 2026-08-13

> Owns end-to-end post-training for frontier multimodal generative models, spanning reward modeling, preference optimization, distillation, safety tuning, evaluation, and deployment. The role requires prior experience shipping post-training improvements and strong PyTorch expertise.

## Job Description

## 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 post-training techniques including **SFT**, **RLHF**, **RLAIF**, **DPO**, preference learning, and reward modeling to align models with human intent and aesthetic judgment.
- Work across text-to-image, image editing, multi-reference, and video post-training.
- Build personalization and customization capabilities that let users adapt models to their creative style.
- Design and maintain high-throughput fine-tuning and evaluation infrastructure for rapid research iteration.
- Identify quality and alignment gaps through rigorous evaluation, then address them through targeted research and engineering.

## Requirements
- Experience owning post-training for a frontier generative model through release, including SFT, preference optimization, distillation, and safety tuning, with measurable quality gains on human preferences or standard benchmarks.
- Deep experience across reward modeling, preference learning, RLHF/RLAIF, and personalization.
- Experience working across modalities, including text-to-image, image editing, and multi-reference; video experience is preferred.
- Strong **PyTorch** fluency and ability to write maintainable research code.
- Bias toward shipping measurable model-quality improvements that reach users.

## Nice to Have
- Experience with distillation techniques such as **LADD**, **DMD**, or consistency models.
- Experience building high-throughput evaluation pipelines.

## Compensation
- Base annual salary: **€130,000–€340,000**, plus equity.

## Similar jobs

- [Senior AI Engineer – Notebooks](https://hotfix.jobs/jobs/fed3b705-a67d-4a63-8cff-b6c19357b4f7) - Datadog - Bordeaux, France
- [Member of Technical Staff - Image / Video Generation](https://hotfix.jobs/jobs/405a95a1-d8ff-49a2-9851-5a5e1cf05ad8) - Black Forest Labs - Freiburg, Germany - €130k – €340k/yr
- [Staff Machine Learning Engineer](https://hotfix.jobs/jobs/2cb6da8f-4a54-448d-a4b6-fc05f1412a12) - Payabli - Remote
- [AI Engineer - New Verticals](https://hotfix.jobs/jobs/4159c72e-536e-4211-969c-6bcb9ad805fd) - Protege - Remote
- [Agent Systems Engineer](https://hotfix.jobs/jobs/2b04a068-018b-4fe0-915f-4fdf80d4c582) - Adaption Labs - San Francisco, CA

**Apply:** https://hotfix.jobs/jobs/e6d896a4-75d3-41e0-ac75-1a73065b0f27
**Canonical:** https://hotfix.jobs/jobs/e6d896a4-75d3-41e0-ac75-1a73065b0f27