The AI Teams at Agile Robots are looking for a Robotics Data Engineer (m/f/d) Data Generation & Curation, who will build the pipeline that r
MS or PhD in computer vision, machine learning, computer science, or a related field, or equivalent practical experience - 5-7+ years of han
Huawei s Heisenberg Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
Collaborate with our core development team to bring machine learning into production - Design and train ML models on large-scale clinical da
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
Wir schreiben dir, sobald eine neue geprüfte Stelle in München dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
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
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 Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
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
At ARX Robotics, you will help advance the perception capabilities of next-generation unmanned ground vehicles.
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
As an AI/LLM Engineer, you will play a key role in building agentic AI systems end-to-end.
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
Baut die Sicherheitsschicht für autonome Agenten: Isolation, nachvollziehbare Ausführung, manipulationssichere Events und abgesicherte CI/CD-Pipeline.
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
About Mistral Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute.
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
Entwirft und deployt KI-Lösungen bei Industriekunden, von der Roadmap bis zur Produktion, inkl. Physik-KI-Pipelines.
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best prod
Entwirft und deployt KI-gestützte Cybersecurity-Lösungen bei Kunden, von Workshops mit CISOs bis zur Produktion, zusammen mit dem Applied-AI-Team.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
- A dynamic high-tech company, combined with financial soundness and world-class investors. - Join an interdisciplinary, international team with 60+ different nationalities in a collaborative work environment. - Lots of development opportunities as we continue to grow. - Challenging tasks and impactful projects alongside experts that enable professional and personal growth. - Corporate
Agile Robots is a leading provider of AI-powered robotics solutions. By combining artificial intelligence and robotics, the company makes industries smarter, more flexible, and more efficient. Founded in Munich in 2018 by renowned robotics researchers from the German Aerospace Center (DLR), Agile Robots has experienced rapid global growth.
Today, more than 3,500 highly skilled robotics and AI enthusiasts are employed worldwide. The company has one of the largest research and development teams in the AI and robotics industry. Agile Robots has built a unique portfolio; together with the subsidiaries BÄR Automation, Franka Robotics, idealworks, and Krause Automation, the company covers all areas of AI-driven robotics.
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The AI Teams at Agile Robots are looking for a Robotics Data Engineer (m/f/d) Data Generation & Curation, who will build the pipeline that records, curates, and prepares multimodal robot datasets for foundation-model training. The pipeline has to run across different robot setups and combine real recordings with synthetic data from simulation. Responsibilities - Multimodal Capture: Build ROS 2 based capture for RGB and RGB-D cameras, wrist cameras, joint encoders, force-torque sensors, and teleoperation signals. - Synchronization: Keep multimodal streams time-aligned through sensor synchronization, calibration, and timestamp integrity checks. - Dataset Health: Define and run health checks that detect dropped frames, sync drift, corrupt frames, and missing modalities. - Dataset Curation: Filter and deduplicate recorded data, maintain dataset metadata, and define train and evaluation splits. - Synthetic Data Integration: Integrate synthetic data generated in simulation into the same datasets and formats as real recordings. - Preprocessing: Build preprocessing that aligns, slices, and inspects recorded episodes into a form that foundation-model training can use directly. - Formats & Release: Design dataset schemas and storage formats, version datasets so experiments can be reproduced, and package them for external release where approved.
Essential Skills - Engineering Background: Degree in Computer Science, Robotics, Electrical Engineering, or a related field, or equivalent qualification plus professional experience building comparable data or robotics software systems. - ROS 2 Pipelines: Hands-on experience building sensor recording or data pipelines in ROS 2 with Python. - Sensor Synchronization: Experience synchronizing multiple cameras and sensors, including calibration and handling timestamp drift. - Dataset Schemas: Experience designing schemas and storage layouts for multimodal time-series data, in formats such as Parquet, Zarr, or HDF5. - Camera Pipelines: Working knowledge of camera pipelines and video encoding, and how they affect data size and frame integrity. Beneficial Skills - Dataset Curation: Experience building curation steps for machine learning datasets, such as filtering, deduplication, and split design. - Synthetic Data: Familiarity with combining simulated and real data in one training dataset. - C++ Development: Experience writing C++ for performance-critical capture or driver code. - Robot Learning Datasets: Familiarity with dataset conventions used in robot learning, such as LeRobot. - Teleoperation Data: Experience recording teleoperation data for imitation learning.
Interesse an dieser Position?
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Zur Originalanzeige128 geprüfte Stellen bei 79 Arbeitgebern, 10 davon ortsunabhängig. 73 in der KI-Entwicklung, 33 in Integration & Automatisierung.