> Markdown version of [/jobs/ext/2390486-ai-engineer-human-to-robot-learning-human](https://www.wearedevelopers.com/jobs/ext/2390486-ai-engineer-human-to-robot-learning-human). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI Engineer - Human-to-Robot Learning (human)

- **Company:** Neura Robotics GmbH
- **Location:** Riederich, Germany
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Machine Learning, Tensorflow, Large Language Models, Information Technology
- **Published:** August 7, 2026
- **Apply:** https://www.adzuna.de/details/5834803658

## About the Role

* Master's or PhD in Computer Science, Machine Learning, Robotics, or comparable.
 * Real, hands-on experience with multimodal foundation models (VLA, video-action, or similar).
 * Experience with cross-embodiment transfer, RL based retargeting.
 * Deep understanding of low-level robotics control.
 * Strong grounding in imitation learning, representation learning, and self-supervised learning across sensor modalities.
 * Fluency in modern machine learning frameworks and large-scale training infrastructure.
 * A communicator who moves easily between researchers, engineers, and hardware teams.
 * Fluent English, German a plus.

## Description

* Bridge Two Bodies: Solve cross-embodiment transfer, translating human motion and interaction into action spaces a robot with a completely different body can use.
 * Build Foundation Models That Act: Design pretraining and fine-tuning strategies for robotic foundation models.
 * Prove It Works: Build the benchmarks that separate models that merely mimic from models that generalize.
 * Shape What Gets Captured Next: Turn model blind spots into sharp, concrete requirements for data capturing devices.
 * Cross-Functional Collaboration: Work shoulder to shoulder with hardware and systems engineering teams while staying laser-focused on the data and AI side.


## Related Videos

- [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs)
- [Robots Among us: Advances in AI for Everyday Androids](https://www.wearedevelopers.com/videos/100230-robots-among-us-advances-in-ai-for-everyday-androids)
- [Model Based Systems Engineering in an Agile Product Development Process](https://www.wearedevelopers.com/videos/68-model-based-systems-engineering-in-an-agile-product-development-process)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [Robots are coming into the wild! Full-Stack Robotics Engineers, be ready!](https://www.wearedevelopers.com/videos/479-robots-are-coming-into-the-wild-full-stack-robotics-engineers-be-ready)
- [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [WWC24 Talk - Scott Hanselman - AI: Superhero or Supervillain?](https://www.wearedevelopers.com/magazine/469-wwc24-talk-scott-hanselman-ai-superhero-or-supervillain)