Computer Vision Engineer – Object Detection (m/w/d)

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.)

Your profile

• 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

Nice to have

• 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
• Fluent in English
• Nationality of a NATO member nation or close ally is required
• Successful candidates will be required to obtain security clearance