Robotics Engineer - AI
Entwickelt KI-Systeme, die Vision und Sprache für die Autonomie schwerer Robotermaschinen verbinden, und begleitet sie bis zum Produktiveinsatz.
Entwickelt KI-Systeme, die Vision und Sprache für die Autonomie schwerer Robotermaschinen verbinden, und begleitet sie bis zum Produktiveinsatz.
Master s degree or PhD in Computer Science, Information Systems, Robotics, Computer Vision, or a related field.
When travelers are searching for a hotel, we want the obvious choice to be trivago!
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
define and own the data science and AI strategy across the organization - lead development and scaling of predictive and generative AI model
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SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
Bridge the gap: Develop and maintain the hardware abstraction layers that allow our higher-level autonomy modules to interact seamlessly with the physical robot.
Taktile empowers financial institutions to transform into truly AI-native organizations.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
is hands-on and code-heavy — you will work inside the same monorepo as the research team, mostly in Python, and should be as comfortable ref
Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.
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Warum dieser Job gelistet ist
Kernaufgaben sind Entwurf und Training von VLM- und End-to-End-KI-Systemen für Robotik; ohne KI fehlte die Rolle selbst.. Prüfverfahren ansehen
: - Build physical AI for the world s largest off-highway machinery – making them intelligent, safe, and ready for every tough task - Join the pioneer in intelligent robotics backed by Point Nine & other Tier 1 investors - Combine cutting-edge robotics research in end-to-end learning & Vision Language Action Model with real-world heavy mobile equipment - Tailor your own career path, whether you like to become technical specialist or technical team lead - Experience a great team culture, beverages, and an amazing office environment
: - Attractive compensation package and stock options. - Beverages on-site and regular social events. - Engage with top-tier researchers, engineers, and thought leaders. - Influence the future of robotic technologies and tackle significant technological challenges. - Assistance with relocation to Berlin.
Heavy machinery, light years ahead. sensmore automates the world s largest machines with unprecedented intelligence. Our proprietary Physical AI enables heavy machines such as wheel loaders to instantly adapt to dynamic environments and execute new tasks without prior training. We integrate cutting-edge robotics into a platform powering intelligence and automation products - transforming productivity and safety for customers in mining, construction, and adjacent industries today.
We are proudly backed by Point Nine and other Tier 1 investors.
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 AI Engineer to join our team. The ideal candidate will possess expertise in Vision Language Models (VLM) and artificial intelligence systems for robotics. This role focuses on integrating vision, language understanding, and action generation to develop AI systems that enhance robotic interaction, perception, navigation, and autonomy in complex real-world environments.
Key Responsibilities: - Design and implement AI systems that can combine vision and language to improve the autonomy of robotic platforms - Optimize and refine AI systems that leverage radar and other sensory technologies for end-to-end learning - Test and validate models under real-world conditions to ensure reliability and effectiveness - Collaborate with interdisciplinary teams of software engineers and roboticists to integrate these systems into larger automation solutions - Manage the full cycle of development, from initial research through deployment and ongoing optimization Required Qualifications: - Bachelor s or Master s degree in Robotics, AI, Computer Science, Electrical Engineering, or a related field - Strong programming skills in Python and familiarity with C++ - Proven expertise in machine learning and robotic control systems - Experience with frameworks such as PyTorch or TensorFlow - Demonstrated experience deploying AI systems in real-world robotic applications - Ability to tackle complex, interdisciplinary technology challenges Preferred Skills: - Practical experience implementing Vision-Language Action Models in robotic systems - Familiarity with sensor fusion techniques and real-time system integration - Experience with robotics simulation and testing frameworks - Knowledge of outdoor SLAM (Simultaneous Localization and Mapping) techniques - Experience with radar data processing or similar sensory inputs - Track record of maintaining and supporting deployed robotic AI systems in production environments - Publication or contribution to relevant AI or robotics conferences or journals
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Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.