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Applied Computer Vision Engineer

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Applied Computer Vision Engineer in USA new

  • SpreeAI
  • Full time
  • Email
  • San Francisco, CA

Responsibilities

  • Build and maintain preprocessing pipelines for virtual try-on, including segmentation, pose estimation, human parsing, and body mapping.
  • Validate and standardize inputs so downstream models receive clean and consistent data.
  • Benchmark and integrate new computer vision models and measure performance on internal evaluation datasets.
  • Run dataset quality checks and resolve the failures they identify.
  • Work with ML scientists to move research into production pipelines that run daily.
  • Own reliable production computer vision pipelines used by brand partners.

Requirements

  • Hands-on production experience in applied computer vision.
  • Proficiency with Python and PyTorch.
  • Experience with segmentation or pose estimation.
  • A record of shipping production pipelines rather than working only in research.
  • Comfort owning data quality and evaluation in a fast-moving startup environment.

Benefits

  • San Francisco-based hybrid work arrangement.
  • Significant ownership in a small team building production pipelines for brand partners.
  • Opportunity to work on visible computer vision problems involving people, garments, and virtual try-on.

SpreeAI

SpreeAI builds AI-powered virtual try-on, sizing, and styling tools for fashion retailers and brands, delivered through web and mobile integrations and a partner portal. The company sells SaaS and SDKs that embed photorealistic try-on into ecommerce sites, in-store displays, and clienteling apps ...

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