Role overview
Snickerdoodle Labs is empowering individuals through self-custody of their data. User data ownership provides privacy and security for individuals and lowers the burden of compliance with privacy regulations (GDPR and CCPA). We seek a highly analytical impact-oriented Machine Learning Engineer Intern to join our Data Science team. The role will serve as a core member within the team, focused on applying artificial intelligence (AI) to solve real business problems and analytics to drive insights from the user interactions on the platform to guide data-driven product development and business decisions. The intern will work cross-functionally between various teams at Snickerdoodle Labs.
Interview process
- [15 min] Initial phone screen
- [2 days] Take-home programming challenge
- In-depth interview stages:
- [20 min] Technical machine learning interview
- [20 min] Technical programming interview
- [20 min] Cultural/Behavioral interview
- [30 min] Executive Review: Debrief with the Co-Founders
- We check references and make you an offer
Tags & focus areas
Used for matching and alerts on DevFound Dev Intern Entry Level Machine Learning Pytorch Scikit Learn