5 hours ago
San Francisco, CA, USAMid Level
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.
Categories
About 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 to reduce returns and improve conversion. Founded in 2023 and headquartered in Los Angeles, it integrates with platforms like Shopify to onboard brand partners quickly.