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

Neura Robotics GmbH
Riederich, Germany
28 days ago
Apply on www.adzuna.de
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, German
Job source
www.adzuna.de

Tech stack

Artificial Intelligence Systems Engineering Machine Learning Tensorflow Large Language Models Information Technology

Job 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.

Requirements

  • 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.adzuna.de
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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1:39 min

Fundamentals of tensors and the TensorFlow library

Håkan Silfvernagel · LIVE

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Hauke Brammer · World Congress 2021

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Sergio Perez Sergio Perez · World Congress 2026 Europe

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