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Senior Machine Learning Engineer

Fetch · Posted 114 days ago

RemoteUnited StatesINTJINTPEngineeringMarketingData
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About the Role

What we're building and why we're building it. Every month, millions of people use Fetch earning rewards for buying brands they love, and a whole lot more. Whether shopping in the grocery aisle, grabbing a bite at the drive-through or playing a favorite mobile game, Fetch empowers consumers to live rewarded throughout their day. To date, we've delivered more than $1 billion in rewards and earned more than 5 million five-star reviews from happy users. It's not just our users who believe in Fetch: with investments from SoftBank, Univision, and Hamilton Lane, and partnerships ranging from challenger brands to Fortune 500 companies, Fetch is reshaping how brands and consumers connect in the marketplace. When you work at Fetch, you play a vital role in a platform that drives brand loyalty and creates lifelong consumers with the power of Fetch points. User and partner success are at the heart of everything we do, and we extend that same commitment to our employees. At Fetch, we value curiosity, adaptability, and the confidence to explore new tools, especially AI, to drive smarter, faster work. You don't need to be an expert, but you should be ready to learn quickly and think critically. We welcome learners who move fast, challenge the status quo, and shape what's next, with us. Ranked as one of America's Best Startup Employers by Forbes for two years in a row, Fetch fosters a people-first culture rooted in trust, accountability, and innovation. We encourage our employees to challenge ideas, think bigger, and always bring the fun to Fetch. Fetch is an equal employment opportunity employer. About the Role: We are seeking a Machine Learning Software Engineer to join Fetch's Scan, Match & Catalog team. This role sits at the intersection of applied machine learning, data engineering, and production systems, with a focus on improving receipt understanding, product matching, and catalog enrichment at scale. You w

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Job ID: 2f565977-5da3-4706-99d5-d41e7fc0b130

Posted via Remote OK

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