Applied Computer Vision Engineer

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.

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.

• 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

• 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)

• 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