86 geprüfte KI-Jobs in München
Wie wir sortierenSenior GenAI Data Scientist (m/f/d)
Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating p
Research Scientist - World Models
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
Senior Software Engineer, 3D Perception (C++ and Python) (F/M/D)
Master s degree or PhD in Computer Science, Information Systems, Robotics, Computer Vision, or a related field.
Research Engineer - 3D World Models
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
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Principal Data Scientist (m/f/d)
define and own the data science and AI strategy across the organization - lead development and scaling of predictive and generative AI model
Research Scientist - 3D Diffusion
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
Machine Learning & Cloud Infra Engineer
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation.
Senior Robotics Systems Engineer
Bridge the gap: Develop and maintain the hardware abstraction layers that allow our higher-level autonomy modules to interact seamlessly with the physical robot.
AI Product Manager
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
AI/ML Engineer
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
Machine Learning Systems & Infrastructure Engineer
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
Staff Engineer, Robotics Perception (m/f/d)
At ARX Robotics, you will help advance the perception capabilities of next-generation unmanned ground vehicles.
Senior Data Scientist (m/f/d)
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
Senior Mendix Engineer
Entwickelt das Agents Kit, ein Mendix-SDK für Agenten und agentische Anwendungen, und arbeitet dazu mit Early-Adopter-Kunden in München.
(Senior) AI/LLM Engineer
As an AI/LLM Engineer, you will play a key role in building agentic AI systems end-to-end.
Software Architect with Enterprise Architect Skills (all genders)
Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems.
AI/ML Engineer (Leased Labor 18-months)
Huawei s Heisenberg Research Center in Munich is responsible for advanced technology research, architectural development, design and strateg
AI Solutions Architect
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
AI Deployment Strategist
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
AI Deployment Strategist, Physics - EMEA
Entwirft und deployt KI-Lösungen bei Industriekunden, von der Roadmap bis zur Produktion, inkl. Physik-KI-Pipelines.
AI Deployment Strategist, Science - EMEA
As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
Applied AI Engineer, ML Infrastructure Engineer / Devops - EMEA
You’ll be responsible for onboarding customers on our products, providing guidance on deployment and integration, and ensuring the best prod
AI Deployment Strategist, Cybersecurity - EMEA
Entwirft und deployt KI-gestützte Cybersecurity-Lösungen bei Kunden, von Workshops mit CISOs bis zur Produktion, zusammen mit dem Applied-AI-Team.
Senior Data Scientist (m/f/d)
Work closely with commercial stakeholders to translate business requirements into well-scoped projects and respond to operational inquiries.
Computer Vision Engineer – Object Detection (m/f/d)
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
Anforderungen
Strong experience in computer vision and deep learning, with a focus on object detection using one-stage or two-stage models (YOLO, FCOS, DETR, Faster R-CNN, etc.) - Strong experience with temporal models such as RNNs, ConvLSTMs, or transformer-based tracking - Ability to modify and extend network architectures, not just use them off the shelf - Hands-on experience in dataset collection, labeling, augmentation, and training - Proven ability to train object detection models from scratch or adapt them to custom classes and data - Familiarity with perception challenges specific to robotics, such as motion blur, lighting variation, occlusion, or limited compute - Proficiency in PyTorch, Python, Git, Docker
Das wird geboten
- Work in an international, agile team creating the future of autonomous systems - Grow your career in a expanding and ambitious engineering team - Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy - Benefit from a steep learning curve and continuous development - Enjoy team events and a strong, collaborative culture Your mission - Build, adapt, and train neural networks for object detection and perception tasks using time-series data - Implement perception algorithms that extract and leverage temporal context across multiple frames - Design, implement, and optimize custom loss functions, augmentations, and architectures - Collect, prepare, and curate datasets from the real world – not pre-cleaned academic datasets - Supervise data annotation by refining labeling guidelines and assuring adherence to them - Evaluate and debug models using AP, Precision/Recall, mIoU, and video-based metrics - Deploy models into production as part of an integrated multi-sensor system (camera, radar, IR, acoustic, etc.)
- Experience with tracking algorithms (DeepSORT, ByteTrack, Kalman Filters). - Prior work with non-visual sensors such as infrared, acoustic, radar, or LiDAR for object detection and fusion. - Exposure to model optimization and compression (quantization, pruning, distillation). - Experience in the domain of UAVs, familiarity with ROS. What else - Intrinsic motivation, attention to detail, and strong problem-solving mindset - Creative thinker with a structured and systematic approach - Humble and collaborative — prioritizes collective success over individual recognition - High ethical standards and disciplined work ethic - Extra-curricular leadership or achievements are a bonus - Fluent in English - Nationality of a NATO member nation or close ally is required - Successful candidates will be required to obtain security clearance Why us? Join us to shape the future of AI-driven defense! Do you feel that you fit the description, but don t think you fulfill all the criteria 100%? Apply to us anyway. We look forward to receiving your detailed application via our online form. The world is changing. Exponential technologies are enabling new types of security threats. We are committed to staying ahead by building nimble, scalable, and cost-effective defences. We are looking for passionate developers who are eager to create exceptional products, safeguard our freedom, and strengthen the resilience of democracies.
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Zur OriginalanzeigeKI-Jobs in München
127 geprüfte Stellen bei 78 Arbeitgebern, 10 davon ortsunabhängig. 73 in der KI-Entwicklung, 33 in Integration & Automatisierung.