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…
What we'd score you on
reqspace match rubricFive 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.
Score yourself on this role.
Free · no card · written explanation included
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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