Entwickelt und trainiert Deep-Learning-Modelle für Wahrnehmung und Navigation autonomer Schwermaschinen und integriert sie in Robotiksysteme.
Tabular data breaks the assumptions that make scaling work for language and vision.
We are looking for software engineers with expertise in ML-first perception, prediction or planning for autonomous vehicles or mobile robots.
Fin, now part of Salesforce, is on a mission to help businesses provide perfect customer experiences.
Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
is linked with our office in Berlin, but we are flexible about hybrid or remote work in Germany.
At Mirelo, you’ll work at the centre of how we build the next generation of multimodal video-to-audio models.
Entwirft und trainiert neuronale Audio-Codecs für generative Sound-, Musik- und Sprachmodelle und prüft deren Nutzen in Downstream-Experimenten.
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
Be part of one of our Data Science teams to further optimize our innovative product based on machine learning and artificial intelligence -
Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating p
Companion Group is a AAA co-development gaming studio with a globally distributed and fully remote setup, renowned for its adeptness in over
We are seeking a senior distributed machine learning (ML) research developer to join our team working on a novel AI safety agenda.
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
At Helsing, we are pioneering the future of autonomous decision-making for defence.
We are looking for a Senior AI Engineer (Python) to join the Conversational AI (CAI) team in the Practice Efficiency domain.
Intro Hamburg | €70.000,00 - €80.000,00 p.a.
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
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
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
Warum dieser Job gelistet ist
Ohne die KI-Erwähnungen bleiben Kernaufgaben und -anforderungen (ML/Deep Learning, PyTorch, Wahrnehmungsalgorithmen) bestehen; das Arbeitsergebnis sind lernende Modelle.. 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 Engineer with expertise in AI to enhance our team. This role requires a strong background in artificial intelligence, machine learning, and robotics. The successful candidate will be instrumental in developing and refining AI-driven robotics systems that improve navigation and perception under challenging conditions.
Key Responsibilities: - Design and implement AI algorithms for robotic systems to improve perception and navigation capabilities. - Optimize and refine AI systems that leverage radar and other sensory technologies. - Collaborate with interdisciplinary teams to integrate these AI systems into larger robotic solutions. - Manage the full cycle of software development, from initial design through to implementation and ongoing maintenance. Required Qualifications: - Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field. - Proficient in Python or C++. - Solid understanding of machine learning, deep learning, and robotics. - Practical experience with robotic perception and image processing. - Experience with frameworks such as PyTorch or TensorFlow. Preferred Skills: - Practical experience with 3D vision in robotic applications. - Familiarity with multimodal machine learning models. - Knowledge of outdoor SLAM (Simultaneous Localization and Mapping) techniques. - Experience with radar data or similar sensory inputs. - Proven track record of publications or significant industry experience in deep learning and AI.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.