# \[Hiring\] Computer Vision / ML Engineer - Video Understanding, Tracking, Pose & Spatial Reasoning **URL:** \ **Category:** Community Calls\ **Created:** [September 21, 2026, 8:08pm UTC](https://discuss.huggingface.co/t/hiring-computer-vision-ml-engineer-video-understanding-tracking-pose-spatial-reasoning/180673 "2026-09-21T20:08:31Z")\ **Posts on this page:** 1\ **Page:** 1
**Author:** ![jchar82](https://avatars.discourse-cdn.com/v4/letter/j/9fc348/32.png) [@jchar82](https://discuss.huggingface.co/u/jchar82)\ **Post date:** [September 21, 2026, 8:08pm UTC](https://discuss.huggingface.co/t/hiring-computer-vision-ml-engineer-video-understanding-tracking-pose-spatial-reasoning/180673/1 "2026-09-21T20:08:31Z")
Most computer vision systems stop at object detection. We’re working on the harder challenge of understanding context, relationships, and behavior across video in real-world environments. If that’s the kind of perception work you like solving, I’d like to talk. Opportunity for a strong Computer Vision / ML Engineer interested in helping solve a challenging perception problem. This is not a typical CRUD SaaS problem Ideal experience includes: • Computer vision / AI-ML model development • Python, PyTorch, and OpenCV • Object detection, segmentation, pose estimation, and multi-object tracking • Video understanding and spatiotemporal analysis • Fine-tuning and evaluating open-source vision models • C++ and/or C# for production computer vision systems • Real-time inference, model optimization, or edge deployment is a plus A great fit would be engineers who enjoy taking difficult perception problems from model → experiment → measurable performance → production system. If this sounds like your area of expertise, or you know someone who may be interested, fill out the form below or share this link: [Computer Vision / ML Engineer](https://tally.so/r/KYXgOX)