Computer Vision Engineer

Company : Brightai

Job Type : Internship

Palo Alto, United States

Job Description - 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

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

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Computer Vision Engineer

Job Description - Computer Vision Engineer

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