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SpreeAI

Applied Computer Vision Engineer

San Francisco, CA, United States

$145,000 to $180,000 USD / year

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Job details

Pay: $145,000 to $180,000 USD / year
Posting language: English
Posted: Oct 29, 2026

Original job description

SPREEAI is a fast-growing, innovative AI company at the forefront of fashion and e-commerce, revolutionizing how consumers engage with fashion through lifelike photorealistic try-on technology and hyper-personalized shopping experiences. Our mission is to redefine the retail landscape with cutting-edge AI solutions that blend high fashion and technology. We thrive in a dynamic, fast-paced environment where creativity meets technology to drive real impact. If you are passionate about innovation and shaping the future of fashion, SPREEAI offers a platform to make your mark.

About the Role SPREEAI builds AI virtual try-on that fashion brands embed in their sites and apps. Every try-on starts with the same question: did we read the person and the garment correctly? This role owns the computer vision pipelines that answer it, from preprocessing through evaluation, and keeps them reliable in production. What you'll do

Build and maintain preprocessing pipelines for try-on: segmentation, pose estimation, human parsing, and body mapping
Validate and standardize inputs so downstream models get clean, consistent data
Benchmark and integrate new vision models, and measure how they perform on our own evaluation datasets
Run dataset quality checks and fix the failures they surface
Work with ML scientists to move research into pipelines that run every day

Qualifications

Hands-on production experience in applied computer vision with Python and PyTorch
Experience with segmentation or pose estimation and a record of shipping pipelines, not only research
Comfort owning data quality and evaluation, not just model training
Comfort working in a fast-moving startup, in San Francisco (hybrid)

Why Join SPREEAI?

Real ownership: a small team where the pipelines you build run in production for brand partners
Hard, visible problems: accurate try-on across a wide range of people and garments

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