Computer Vision Engineer
Brightai · Palo Alto, California · Posted Jul 6, 2026
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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