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

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{
  "id": "2338251",
  "name": "Computer Vision Engineer – Object Detection (m/w/d)",
  "office": "Munich (DEU)",
  "keywords": [],
  "schedule": "full-time",
  "createdAt": "2025-09-16T11:24:02+00:00",
  "seniority": "experienced",
  "department": "AI Perception",
  "occupation": "general_and_other_it_software",
  "subcompany": null,
  "employmentType": "permanent",
  "jobDescriptions": [
    {
      "name": "What we offer",
      "value": "<ul><li>Work in an international, agile team creating the future of autonomous systems</li><li>Grow your career in a expanding and ambitious engineering team</li><li>Build innovative products using state-of-the-art technologies in AI, robotics, and autonomy</li><li>Benefit from a steep learning curve and continuous development</li><li>Enjoy team events and a strong, collaborative culture</li></ul>"
    },
    {
      "name": "Your mission",
      "value": "<ul><li><span><span>Build, adapt, and train neural networks for </span></span><span><span>object detection and </span><span>perception</span></span><span><span> tasks using time-series data</span></span></li><li><span><span>Implement </span><span>perception</span><span> algorithms that extract and leverage temporal context across multiple frames</span></span></li><li><span><span>Design, implement, and optimize custom loss functions, augmentations, and architectures</span></span></li><li><span><span>Collect, prepare, and curate datasets from the real world – not pre-cleaned academic datasets</span></span></li><li><span><span>Supervise data annotation by refining labeling guidelines and assuring adherence to them</span></span></li><li><span><span>Evaluate and debug models using AP, Precision/Recall, </span><span>mIoU</span><span>, and video-based metrics</span></span></li><li><span><span>Deploy models into production as part of an integrated multi-sensor system (camera, radar, IR, acoustic, etc.)</span></span></li></ul>"
    },
    {
      "name": "Your profile",
      "value": "<ul><li><span><span>Strong experience in </span></span><span><span><strong>computer vision and deep learning</strong></span></span><span><span>, with a focus on </span></span><span><span>object detection</span></span><span><span> using one-stage or two-stage models (YOLO, FCOS, DETR, Faster R-CNN, etc.)</span></span></li><li><span><span>Strong experience with</span></span><span><span> <strong>temporal models</strong></span></span><span><span> such as RNNs, </span><span>ConvLSTMs</span><span>, or transformer-based tracking</span></span></li><li><span><span>Ability to </span></span><span><span><strong>modify</strong></span><span><strong> and extend network architectures</strong></span></span><span><span>, not just use them off the shelf</span></span></li><li><span><span>Hands-on experience in </span></span><span><span><strong>dataset collection, labeling, augmentation, and training</strong></span></span></li><li><span><span>Proven ability to</span></span><span><span> <strong>train object detection models from scratch</strong></span></span><span><span><strong> or adapt them to custom classes and data</strong></span></span></li><li><span><span>Familiarity with </span></span><span><span><strong>perception</strong></span><span><strong> challenges specific to robotics</strong></span></span><span><span>, such as motion blur, lighting variation, occlusion, or limited compute</span></span></li><li><span><span>Proficiency</span><span> in </span><span>PyTorch</span><span>, Python, Git, Docker</span></span></li></ul>"
    },
    {
      "name": "Nice to have",
      "value": "<ul><li>Experience with <strong>tracking algorithms</strong> (DeepSORT, ByteTrack, Kalman Filters).</li><li>Prior work with <strong>non-visual sensors</strong> such as infrared, acoustic, radar, or LiDAR for object detection and fusion.</li><li>Exposure to <strong>model optimization and compression</strong> (quantization, pruning, distillation).</li><li>Experience in the domain of UAVs, familiarity with ROS.</li></ul>"
    },
    {
      "name": "What else",
      "value": "<ul><li>Intrinsic motivation, attention to detail, and strong problem-solving mindset</li><li>Creative thinker with a structured and systematic approach</li><li>Humble and collaborative — prioritizes collective success over individual recognition</li><li>High ethical standards and disciplined work ethic</li><li>Extra-curricular leadership or achievements are a bonus</li><li>Fluent in English</li><li>Nationality of a NATO member nation or close ally is required</li><li>Successful candidates will be required to obtain security clearance</li></ul>"
    },
    {
      "name": "Why us?",
      "value": "Join us to shape the future of AI-driven defense!<br><br>Do you feel that you fit the description, but don't think you fulfill all the criteria 100%? Apply to us anyway.   <br>We look forward to receiving your detailed application via our online form. <br><br>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."
    }
  ],
  "occupationCategory": "it_software",
  "recruitingCategory": "Recruitingprozess ATS - Tech"
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