B
BrightaiEngineering

Computer Vision Engineer

Palo Altoonsitemid

via Greenhouse

About this role

Computer Vision Engineer — Data Labeling & Annotation Type: Temporary Duration: 6 months - 12 months What You'll Gain Exposure to the full CV pipeline, from raw data to deployed model Mentorship from CV engineers working on production systems Hands-on experience with YOLO, PyTorch, and modern annotation workflows Concrete portfolio work — datasets, scripts, and model contributions — that translates directly to future ML/CV roles What You'll Do Annotate images and video for object detection (bounding boxes), segmentation (polygons/masks), and classification Help refine labeling schemas and class taxonomies as edge cases come up Write Python scripts to convert between annotation formats, validate label integrity, and generate dataset statistics…

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What we'd score you on

reqspace match rubric

Five dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.

1

Skills match

For this role: python, numpy, pytorch

2

Level fit

This role is mid-level. We check your trajectory against it.

3

Domain experience

Your work in the role's domain matters more than your years total. We weight recent and direct experience.

4

Recency

A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.

5

Location fit

This role is based in Palo Alto. We weight your proximity and willingness to relocate.

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Skills in this role

Pulled from the job description. These are the keywords we'll weight when scoring your fit.

pythonnumpypytorch

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