Fetch Rewards is a company that operates America's Rewards App, leveraging the power of Fetch Points to drive consumer behavior and engagement across various industries, including Consumer Packaged Goods (CPG), retail, and restaurants. By offering custom-fit marketing solutions, Fetch helps brands increase sales, improve retention, and build lifelong consumer loyalty without relying on discounts. The platform offers dynamic in-app offers based on verified shopping behavior, designed to inspire specific business outcomes and increase customer engagement. Fetch Rewards partners with major brands and retailers, providing a robust data-driven approach to enhance buying frequency and customer retention.
Mobile applications β’ Grocery Retail β’ Shopper Data
January 24
πΊπΈ United States β Remote
π΅ $50 / hour
π¨βπ Internship
βͺοΈ Entry-level
π€ Machine Learning Engineer
π«π¨βπ No degree required
π¦ H1B Visa Sponsor
Fetch Rewards is a company that operates America's Rewards App, leveraging the power of Fetch Points to drive consumer behavior and engagement across various industries, including Consumer Packaged Goods (CPG), retail, and restaurants. By offering custom-fit marketing solutions, Fetch helps brands increase sales, improve retention, and build lifelong consumer loyalty without relying on discounts. The platform offers dynamic in-app offers based on verified shopping behavior, designed to inspire specific business outcomes and increase customer engagement. Fetch Rewards partners with major brands and retailers, providing a robust data-driven approach to enhance buying frequency and customer retention.
Mobile applications β’ Grocery Retail β’ Shopper Data
β’ Fetch is creating solutions that empower consumers to live rewarded. β’ The role involves contributing to machine learning for intelligent systems. β’ Solve challenging problems in operationalizing ML systems at scale. β’ Full lifecycle responsibility for machine learning processes.
β’ Solid foundation in programming skills, especially Python. β’ Experience training ML models using Python frameworks (PyTorch or TensorFlow). β’ Experience deploying applications to public cloud (e.g. AWS). β’ Experience with test writing and quality assurance. β’ Passion for tackling challenging problems. β’ Ability to communicate technical concepts effectively. β’ Desire for collaboration and knowledge sharing.
β’ Equal employment opportunity employer. β’ People-first culture. β’ Commitment to employeesβ success. β’ Encouragement for innovative ideas.
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June 3, 2024
πΊπΈ United States β Remote
π° $6.7M Seed Round on 2021-11
π¨βπ Internship
βͺοΈ Entry-level
π€ Machine Learning Engineer
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