Robotic Foundation Model Engineer Intern

NEURA Robotics; Riederich; Vor Ort; EUR 70.000 - 110.000; Vollzeit

Zusammenfassung

NEURA Robotics in Germany seeks a skilled ML/robotics engineer to drive cognitive robotics applications via the NeuraGym platform. You will train and fine-tune foundation models, pushing robotic intelligence from data to deployment and validating performance in real-world tasks.

You will collaborate with multidisciplinary teams, leading data strategy, pipeline reviews, and model improvements while enabling customers and shaping product roadmaps in a fast-paced environment.

Qualifikationen

• Hands-on machine-learning experience in robotics - strong in at least one of: vision-based manipulation, reinforcement/imitation learning, or multimodal models - and keen to learn the rest.
• Demonstrable experience fine-tuning large pretrained models for robotics or another domain: PEFT/LoRA and full fine-tunes, dataset curation, distillation, and evaluation.
• Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow and with real robot hardware and middleware.

Aufgaben

• Drive the development of cognitive robotics applications through Physical AI and the NeuraGym platform.
• Training & Fine-tuning cutting-edge models to production-ready robotic intelligence within the NeuraGym pipeline.
• Hands-on robotics: collaborate with multidisciplinary teams to design, build, and optimize intelligent robotic systems powered by AI.
• Customer enablement & support: onboard users, review training pipelines and scripts, troubleshoot model behavior.
• Cross-functional collaboration: act as interface between Cloud and AI teams to ensure alignment.
• Translate field feedback into actionable inputs for product and research roadmaps.

Kenntnisse

Machine-learning in robotics

Python

C++

PyTorch

TensorFlow

Cloud computing (AWS/Azure/GCP)

Robotics middleware

Ausbildung

Master's degree in Computer Science, Robotics, Electrical Engineering or related field

Tools

PEFT/LoRA

OpenVLA ecosystem

IsaacSim

MuJoCo

Jobbeschreibung

Your mission & challenges

• Drive the development of cognitive robotics applications through Physical AI and the NeuraGym platform.




• Training & Fine-tuning cutting-edge models: Take foundation models to production-ready robotic intelligence by executing the full NeuraGym pipeline — including teleoperation, data annotation, training, simulation, deployment, and validation — tailored to real-world robotics applications. Define the data strategy that makes a fine-tune work and own the full post-training loop inlcuding hyperparamter interation, data mixture, LoRA and a honest evaluation.




• Hands-on robotics: Collaborate closely with multidisciplinary engineering teams to design, build, and optimize next-generation intelligent robotic systems powered by AI.




• Customer Enablement & Support: Guide and onboard users to NeuraGym by reviewing training pipelines and scripts, identifying data quality issues, troubleshooting model behavior, and providing hands-on support to resolve persistent blockers.




• Cross-Functional Collaboration: Serve as a key interface between the Cloud and AI teams, ensuring smooth collaboration, technical alignment, and efficient problem-solving across domains.




• Product & Research Feedback Loop: Translate field experience and customer insights into actionable feedback for both the NeuraGym product roadmap and the Neura core AI roadmap

What we can look forward to

• Master's degree in Computer Science, Robotics, Electrical Engineering or related field




• Hands-on machine-learning experience in robotics - strong in at least one of: vision-based manipulation, reinforcement/imitation learning, or multimodal models - and keen to learn the rest




• Demonstrable experience fine-tuning large pretrained models for robotics or another domain: PEFT/LoRA and full fine-tunes, dataset curation, distillation, and evaluation. Familiarity with the open VLA and policy-learning ecosystem (e.g. π0/π0.5, OpenVLA, LeRobot, diffusion policies) is a strong plus




• Solid Python skills (C++ a plus); practical experience with PyTorch or TensorFlow
  Comfortable working directly with real robot hardware and associated middleware




• Cloud experience (AWS, Azure, or GCP) and experience with robotic simulation tools (IsaacSim, MuJoCo, etc.) is a plus




• Proven problem-solving abilities and ability to handle multiple projects in parallel




• Strong bias toward execution and a high level of personal commitment: you take deployments personally, work through setbacks, and measure yourself by what runs at the customer




• Clear communicator who can translate between researchers, engineers and end-users. You have a good command of English and German language (B2 - C1 level)