AI Engineer – Object Detection

AI Engineer – Object Detection & Perception (m/w/d)Permanent employee,Full-time· ToulouseYour missionBuild, adapt, and train neural networks for object detection and perception tasks using time-series dataImplement perception algorithms that extract and leverage temporal context across multiple framesDesign, implement, and optimize custom loss functions, augmentations, and architecturesCollect, prepare, and curate datasets from the real world – not pre-cleaned academic datasetsSupervise data annotation by refining labeling guidelines and assuring adherence to themEvaluate and debug models using AP, Precision/Recall, mIoU , and video-based metricsDeploy models into production as part of an integrated multi-sensor system (camera, radar, IR, acoustic, etc.)Your profileStrong 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.)Experience with temporal models such as RNNs, ConvLSTMs , or transformer-based trackingAbility to modify and extend network architectures , not just use them off the shelfHands-on experience in dataset collection, labeling, augmentation, and trainingProven ability to train object detection models from scratch or adapt them to custom classes and dataFamiliarity with perception challenges specific to robotics , such as motion blur, lighting variation, occlusion, or limited computeProficiency in PyTorch , Python, Git, DockerStrong 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.)Experience with temporal models such as RNNs, ConvLSTMs , or transformer-based trackingAbility to modify and extend network architectures , not just use them off the shelfHands-on experience in dataset collection, labeling, augmentation, and trainingProven ability to train object detection models from scratch or adapt them to custom classes and dataFamiliarity with perception challenges specific to robotics , such as motion blur, lighting variation, occlusion, or limited computeProficiency in PyTorch , Python, Git, DockerNice to haveExperience 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.MetaIntrinsic motivation, attention to detail, and strong problem-solving mindsetCreative thinker with a structured and systematic approachHumble and collaborative — prioritizes collective success over individual recognitionHigh ethical standards and disciplined work ethicExtra-curricular leadership or achievements are a bonusFluent in EnglishNationality of a NATO member nation or close ally is requiredSuccessful candidates will be required to obtain security clearanceWhy us?Join us to shape the future of AI-driven defenseDo 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.We are a defence-tech start-up specializing in machine vision solutions. If you have a passion for cutting-edge innovation, and drive to use your skills to create next generation solutions, this is an opportunity for youWhat we do: We are developing solutions that enable computers and sensors to collaborate as teams, working together to address emerging security challenges. Our primary mission is to defend against AI-powered asymmetric threats at scale, such as drone swarms and other UXVs.Who we are: Based in Munich, Berlin and Bordeaux/Toulouse we are rapidly expanding across Europe with plans to open more office hubs soon. We embrace a hybrid work culture - valuing the collaborations that happens in the office, while also empowering our team members to work remotely with responsibility and autonomy. #J-18808-Ljbffr