Machine Learning Engineer Internship
Published | December 24, 2022 |
Location | Birmingham, United States of America |
Category | Machine Learning |
Job Type | Internship |
Description

What we’re building and why we’re building it.
Fetch is a build-first technology company creating a rewards program to power the world. Over the last 5 years, we’ve grown from 0 to 18M active users and taken over the rewards game in the US with our free app. The foundation has been laid. In the next 5 years we will become a global platform that completely transforms how people connect with brands.
It all comes down to two core beliefs. First, that people deserve to be rewarded when they create value. If a third party directly benefits from an action you take or data you provide, you should be rewarded for it. And not just the “you get to use our product!” cop-out. We’re talkin’ real, explicit value. Fetch points, perhaps.
Second, we also believe brands need a better and more direct connection with what matters most to them: their customers. -- Brands need to understand what people are doing, and have a direct line to be able to do something about it. Not just advertise, but ACT. Sounds nice right?
That’s why we’re building the world’s rewards platform. A closed-loop, standardized rewards layer across all consumer behavior that will lead to happier shoppers and stronger brands.
This role requires you to be located in Chicago, Madison, or Birmingham.
Fetch Rewards is an equal employment opportunity employer.
The Role:
Fetch summer Software Engineer internships are full-time (40 hours/week) for 12 consecutive weeks with start dates May 22 to August 11, 2023. Applicants should have a minimum of one quarter/semester remaining in their undergraduate studies after their internship concludes
- Proficiency in Python
- Experience with open source ML frameworks such as PyTorch, TensorFlow, or scikit-learn
- Knowledge of ML fundamentals such as model selection, training, and evaluation
- Interest in developing ML systems in a production setting
- Experience with workflow orchestration tools such as Airflow
- Experiences with Docker / Kubernetes
- Experience with AWS or other Cloud Computing providers
Candidates must be located in the US to work for Fetch Rewards.