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Robotics Engineer - Vision Language Action Model

Berlin / Potsdam, DEСкор undefined/1001нед назад
Стек
c++opencvpythontransformers
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Описание
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials are extracted, moved, and processed. Its automation system transforms heavy machines into intelligent, automated robots powered by Physical AI and vertically integrates them into the full production environment: from the machine and safety infrastructure to network infrastructure, site processes, and operational interfaces. Co-developed with customers, sensmore is backed by Point Nine Capital, leading industry investors, the State of Brandenburg, and the European Union. Role Overview: We are looking for a skilled Robotics Engineer specialized in Vision Language Action Models to join our team. The ideal candidate will possess expertise in integrating vision, language understanding, and action generation to develop AI systems that enhance robotic interaction and autonomy in complex environments. Key Responsibilities Design and develop AI systems that combine vision, language, and motor control to improve the autonomy of robotic platforms. Work on the implementation of Vision-Language Action Models that allow robots to perform tasks based on verbal and visual cues. Test and refine models under real-world conditions to ensure reliability and effectiveness. Collaborate with software engineers and roboticists to integrate these systems into larger automation solutions. Contribute across all phases of the development lifecycle, from initial research to deployment and ongoing optimization. Required Qualifications Bachelor’s or Master’s degree in Robotics, AI, Computer Science, or a related field. Strong programming skills in Python and familiarity with C++. Proven expertise in machine learning, especially in vision-language models and robotic control systems. Experience with vision and language processing frameworks such as OpenCV and transformers. Ability to tackle complex, interdisciplinary technology challenges. Preferred Skills: Pr
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