Robot Learning Research Engineer

rosendahl nextrom gmbh • Austria

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AI Summary

Design, implement, and evaluate novel machine learning algorithms for humanoid and industrial robots. Develop models that enable robots to understand the world and acquire new skills. Master's or PhD in Robotics, Computer Science, Machine Learning, or a related field required.

Key Highlights

Design, implement, and evaluate novel machine learning algorithms for humanoid and industrial robots

Develop models that enable robots to understand the world and acquire new skills

Master's or PhD in Robotics, Computer Science, Machine Learning, or a related field required

Key Responsibilities

Develop and apply Vision Language Action (VLA) models, multimodal transformers, and large foundation models to enable advanced robot perception, reasoning, and decision-making

Research and implement state-of-the-art robot learning methods, including reinforcement learning (RL), imitation learning, policy optimization, and sim-to-real transfer

Build scalable pipelines for robot data collection, sim-to-real transfer, and continual learning across digital twins and real-world deployment

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Technical Skills Required

Python PyTorch TensorFlow

Benefits & Perks

Competitive salary

Benefits

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Nice to Have

Experience working with humanoid robots or dexterous manipulation

Familiarity with embedded systems and edge AI deployment

Familiarity with tools for distributed and large-scale training

Job Description

Building on our long-standing expertise in advanced production technologies, Rosendahl Nextrom is expanding into AI-driven robotics with a forward-thinking research and engineering team dedicated to developing adaptive industrial robots—an advancement that will transform industrial automation, manufacturing, logistics, and beyond.

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