What we’re building and why we’re building it.
Every month, millions of people use America’s Rewards App, 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.
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.
The ML Engineering team embodies these values and works with a laser focused objective to enable intelligent systems for end users, internal stakeholders, and external partners. We are looking for a Machine Learning Engineer Apprentice to contribute to this vision and reap the rewards of joining an exciting company in the high growth phase. Among other things, Fetch uses ML/AI to power receipt understanding (digital and physical), fraud detection, and rapidly evolving in the space of ads ranking, recommendation, search, and discovery. Machine learning is core to our product and we’re working to make it an even bigger part of the company.
Your focus will be on the intersection of developing ML models and the infrastructure needed to operationalize them at scale. The ML Team at Fetch is responsible for the full life-cycle of machine learning. This includes data labeling/collection/management, model development, and deploying to large scale production settings. We work closely with backend, devops and data scientists on focussed teams. You’ll be expected to create value in a fast moving environment and that might mean at any given moment deep diving into one of these stages of the pipeline
Are you capable of training and deploying a Transformer model but know when a simpler solution will do? Do you like knowing how model architectures translate to flops and the milliseconds off a server? Have you lost entire days debugging inscrutable CUDA errors? If you answered yes to these questions we’d love to hear from you.
This is not a college internship, and requires that you have graduated by June 2024.
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