Computer Vision Engineer

United States·Palo Altoentry

OtherMachine Learning EngineerDataComputer Vision

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Overview

Computer Vision Engineer — Perception & 3D Type: Temporary Duration: 6–12 months What You'll Gain Exposure to the full CV pipeline,

Technical Tools

OtherMachine Learning EngineerDataComputer Vision

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

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