European Tech Recruit

Research Engineer - Robot Learning / VLA Models / RL / Imitation Learning

Stellenbeschreibung:

Overview

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You will be joining a cutting-edge research team within a world-leading technology company at their lab Munich .

As a Research Engineer your responsibilities will include:

Responsibilities

  • Conduct & lead research in robot learning methods (reinforcement, imitation, deep learning)
  • Work with engineers & researchers to implement solutions in practical robotic platforms
  • Publish results in leading journals & conferences
  • Guide & support junior team members, fostering innovation & collaboration
  • Monitor emerging trends in robotics & AI, applying new insights to ongoing projects

As a Research Engineer your skills will include:

Qualifications

  • PhD in Robotics, Computer Vision, Computer Science, Simulation, IT, or a related field
  • Strong background in robot learning with a proven record of publications
  • Skilled in Python & C++, with hands-on experience using ML frameworks (TensorFlow, PyTorch)
  • Solid problem-solving & analytical abilities; capable of working independently & in teams
  • Excellent written & verbal communication, able to explain complex concepts clearly
  • Experience with robotic simulators & deployment on physical robotic systems

Feel free to also refer someone you may know who could be good for the role. If they are successfully placed, we offer a great referral scheme!

Key words – Robot Learning / Vision Language Action Models / Reinforcement Learning / Imitation Learning / Robot Manipulation / Robotic Arms / Deep Learning / AI / Robotic Simulations / Robotic Systems

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Seniority level

  • Associate

Employment type

  • Full-time

Job function

  • Research, Engineering, and Other
  • Industries: Research Services, Robotics Engineering, and Engineering Services

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EnglishEN: Please refer to Fuchsjobs for the source of your application
DeutschDE: Bitte erwähne Fuchsjobs, als Quelle Deiner Bewerbung

Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    05 Nov 2025
  • Standort:

    München

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