Computer Vision Engineer

Computer Vision Engineer — Perception & 3D Type: Temporary Duration: 6–12 months What You'll Gain Exposure to the full CV pipeline, from raw data and annotation to deployed model Mentorship from CV engineers working on production systems Hands‑on experience with YOLO, PyTorch, 3D reconstruction, and modern perception workflows Concrete portfolio work — datasets, scripts, reconstructions, and model contributions — that translates directly to future ML/CV roles What You'll Do Annotate and QA images and video for detection, segmentation, and classification — and build the tooling to do it at scale Work on 3D reconstruction (photogrammetry, Gaussian splatting) and explore applications in AR/VR and autonomy Write Python tooling to convert annotation formats, validate label integrity, and generate dataset statistics Help shape labeling schemas and class taxonomies as edge cases arise Run baseline YOLO training experiments to evaluate dataset quality and surface labeling gaps Document conventions and edge‑case decisions Required Recent graduate with a degree in CS, EE, AI/ML, or related field Working knowledge of Python and common CV libraries (NumPy, OpenCV) Attention to detail and patience for precision work Nice to Have Hands‑on experience with YOLO or PyTorch Familiarity with 3D reconstruction, segmentation masks, or model‑assisted labeling workflows Interest in AR/VR, SLAM, or autonomous systems #J-18808-Ljbffr