Computer Vision Engineer

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