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.
At Fetch, we are passionate about solving challenging problems and embracing ambiguity. Our engineering philosophy promotes adaptability and innovation over rigid adherence to rules. Our engineers thrive in complex environments, making well-informed decisions even in uncertain situations. We seek out the necessary information and focus on action and impact, while consistently upholding high technical standards.
As a Staff Machine Learning Engineer focusing on forecasting and optimization, you will design models to forecast offer performance and optimize offer structures. You will use cutting-edge machine learning techniques to improve how Fetch designs offers to maximize redemption rates, user satisfaction, and overall campaign success. Your work will have a direct impact on how Fetch partners with brands to drive ROI.
This is a full-time role that can be held from one of our US offices or remotely in the United States. You will develop and implement machine learning models, build optimization algorithms, collaborate with business and product teams, analyze offer effectiveness, use experimentation techniques, and mentor junior engineers and data scientists.
At Fetch, we offer comprehensive benefits including equity, 401k match, health insurance (including for pets), education reimbursement, employee resource groups, flexible PTO, paid holidays, parental leave, and a flexible work environment. Join us in reshaping how brands and consumers connect in the marketplace!