Software Engineer - Machine Learning
Fetch
About this role
The Machine Learning Software Engineer on Fetch’s Scan, Match & Catalog team will help build the Scan-to-Catalog foundation by driving ML-driven automation for receipt understanding, product matching, and catalog enrichment at scale. The role partners closely with product, operations, and platform teams to increase automation, quality, and match coverage across the platform. It emphasizes production-grade ML systems, model evaluation, and leveraging LLMs and AI tools to improve annotation and training efficiency.
Skills
Qualifications
About Fetch
fetch.comFetch is a mobile-first rewards app that lets shoppers earn points by scanning receipts from everyday purchases and redeem those points for gift cards and other rewards. The platform partners with national brands and retailers to deliver personalized offers, discounts, and promotional campaigns. Fetch also provides brands with consumer insights and marketing tools to drive purchase behavior and measure campaign performance. Millions of U.S. users leverage Fetch to save on groceries and household spending.
Recent company news
Latham & Watkins LLPLatham Watkins Advises Fetch Rewards on Series of Strategic Growth Financing Transactions
Sep 25, 2025
Bloomberg.comMomentum Midstream Explores Sale That Could Fetch $5 Billion
2 weeks ago
PR NewswireFetch Appoints First-Ever CAIO to Accelerate Company's AI-First Vision
Jun 26, 2025
CNBC31-year-old CEO: My business spent six weeks on the edge of collapse—how I built it into a $2.5 billion company
Jul 3, 2025
DC VelocityZebra wants to sell off its Fetch robotics arm
Dec 15, 2025
About Fetch
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
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and employee contacts for Fetch.
Salary
$168k – $224k
per year