269 geprüfte KI-Jobs
Wie wir sortierenML Engineer, Backend
You will have ownership over designing, building, and scaling the core systems that bring Prior Labs foundation models to the world.
Machine Learning Software Engineer
We are looking for software engineers with expertise in ML-first perception, prediction or planning for autonomous vehicles or mobile robots.
Machine Learning Engineer (all genders)
Collaborate with our core development team to bring machine learning into production - Design and train ML models on large-scale clinical da
Research Scientist - Model Team
At Mirelo, you’ll work at the centre of how we build the next generation of multimodal video-to-audio models.
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Training Infrastructure Engineer
Optimiert und betreibt die Trainingsinfrastruktur für generative Audiomodelle: GPU-Profiling, verteiltes Training und SLURM-Cluster.
Research Scientist - Audio Codec
Entwirft und trainiert neuronale Audio-Codecs für generative Sound-, Musik- und Sprachmodelle und prüft deren Nutzen in Downstream-Experimenten.
VLM Research Engineer (m/f/d)
Design and adapt vision-language and video models for scene understanding, temporal reasoning and activity / action recognition - Build and
Software Engineer - Autonomous Air Systems
You’ll build the autonomy brain for a cutting-edge autonomous aerial platform that will actually take flight.
AI Research Engineer – Prototyping, AI & Research
Intro We are looking for an AI Research Engineer to join the PAIR team and play a central role in the design, development, experimentation,
Research Scientist - World Models
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
Machine Learning Scientist (all genders) - Hybrid, Berlin
Your mission dida is a machine learning software company with exciting problems for instance in computer vision and natural language processing.
Machine Learning Researcher (all genders) - Hybrid, Berlin
Your mission You will - work on machine learning research projects, in particular addressing the question of how machine learning methodolog
ML Ops / Data Engineer - Robotics
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
Robotics Engineer - AI
Entwickelt KI-Systeme, die Vision und Sprache für die Autonomie schwerer Robotermaschinen verbinden, und begleitet sie bis zum Produktiveinsatz.
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.
AI/ML Engineer, Berlin
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
AI Product Manager, Berlin
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
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 Engineer, TTS
We’re looking for a Research / ML Engineer to join our Speech Team to build state-of-the-art speech systems end-to-end—from data specs throu
AI Engineer - Analytics & End-User Insights
Design and implement decoupled data supply chains, spanning landing zones, quality and transformation layers, and consumption layers, to ens
Data Engineer - AI Pipelines & DataOps
Design and implement scalable data ingestion pipelines for structured and unstructured data sources, including manufacturing systems, edge d
Data Scientist & ML Engineer - Predictive Analytics & Agentic AI
Develop, validate, and deploy predictive, prescriptive, and optimisation models for core business domains including procurement, manufacturi
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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