Helsing is a Munich-based defence AI and drone company that develops defence software, drones, and military systems for air, land, sea, and underwater operations.
<h2><span style="font-size: 18pt;"><span data-contrast="none"><span data-ccp-parastyle="heading 2">Who we are</span></span><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":160,"335559739":80}"> </span></span></h2> <p><span data-contrast="auto">Helsing develops artificial intelligence-enabled capabilities to protect and defend democracies. We build Altra, an AI-powered drone software platform, and HX-2, our autonomous drone. We are growing our US operations, cultivating an ambitious and committed team of mission-driven professionals to apply their skills to solve challenging problems.</span><span data-ccp-props="{}"> </span></p> <h2><span style="font-size: 18pt;"><span data-contrast="none"><span data-ccp-parastyle="heading 2">The role</span></span><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":160,"335559739":80}"> </span></span></h2> <p><span data-contrast="auto">You will own the detection and tracking models that power Helsing's products — training, tuning, and deploying models against US-specific datasets. This is an applied ML role: you won't be writing research papers, but you will be expected to have strong intuition for model performance, data quality, and the practical trade-offs involved in getting detection and tracking systems to work reliably in production. You will manage the full model lifecycle — from assessing and curating training data through annotation, training, evaluation, and deployment to edge platforms.</span><span data-ccp-props="{}"> </span></p> <h2><span style="font-size: 18pt;"><span data-contrast="none"><span data-ccp-parastyle="heading 2">The day-to-day</span></span><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":160,"335559739":80}"> </span></span></h2> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Training and fine-tuning detection models (YOLO, DETR, Faster R-CNN, and similar architectures) on mission-specific datasets</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Implementing and improving multi-object tracking pipelines (SORT, DeepSORT, ByteTrack, or similar)</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Evaluating model performance: analyzing metrics, diagnosing failure modes, and iterating on data and model improvements</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Managing the data pipeline end-to-end: assessing raw data, coordinating annotation, curating datasets, and implementing augmentation strategies</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-aria-posinset="5" data-aria-level="1"><span data-contrast="auto">Optimizing models for deployment on SWaP-constrained and embedded platforms (quantization, pruning, TensorRT, ONNX export)</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-aria-posinset="6" data-aria-level="1"><span data-contrast="auto">Collaborating with systems engineers to integrate models into the broader Altra platform</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="5" data-aria-posinset="7" data-aria-level="1"><span data-contrast="auto">Working across sensor modalities as needed, including electro-optical, infrared, and other imaging sources</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li> </ul> <h2><span style="font-size: 18pt;"><span data-contrast="none"><span data-ccp-parastyle="heading 2">You should apply if you</span></span><span data-ccp-props="{"134245418":true,"134245529":true,"335559738":160,"335559739":80}"> </span></span></h2> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-aria-posinset="1" data-aria-level="1"><span data-contrast="auto">Have 5+ years of experience in applied machine learning or computer vision</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-aria-posinset="2" data-aria-level="1"><span data-contrast="auto">Have a Bachelor's degree in Computer Science, Electrical Engineering, or a related field; Master's or PhD strongly preferred</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-aria-posinset="3" data-aria-level="1"><span data-contrast="auto">Have production experience training and deploying object detection models — not just research or academic projects</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559739":0}"> </span></li> </ul> <ul> <li data-leveltext="" data-font="Symbol" data-listid="6" data-aria-posinset="4" data-aria-level="1"><span data-contrast="auto">Are proficient in Python and PyTorch or a comparable deep learning framework</span><span data-ccp-props="{"134233117":false,"134233118":false,"335559738":0,"335559