Machine Learning Intern • Entry-Level

Who you are

You are currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, or a closely related field, with a research focus on advanced AI. You have a strong interest in translating research insights into product impact for real-world users, and you are familiar with the end-to-end process of building AI prototypes—from data exploration and model iteration to evaluation and user testing. You thrive in environments where you can swiftly move from idea to experiment, and you are comfortable with ambiguous or evolving project goals.

Desirable

Experience with Large Language Models (LLMs) and Multimodal Content Understanding is a plus. You have a passion for machine learning and a desire to contribute to cutting-edge research that shapes user experiences.

What you'll do

As a Machine Learning Intern at Dropbox, you will research and prototype innovative machine learning approaches in areas such as Search, Large Language Models, Multimodal Content Understanding, and Recommender Systems. You will design and implement end-to-end ML pipelines—from data exploration to model training, evaluation, and deployment—in collaboration with mentors and product teams. Your role will involve analyzing large-scale datasets to identify opportunities for personalization and improved user experiences. You will partner with Product, Design, and Engineering teams to integrate models into Dropbox products, contributing to the team’s technical discussions and offering research-based perspectives to guide experimentation and long-term strategy.

What we offer

This internship offers the opportunity to translate your research into real-world impact while gaining experience with large-scale production systems and cross-functional collaboration in a fast-moving, high-impact environment. You will have the chance to work alongside experienced engineers and researchers, contributing to Dropbox’s mission to create a more enlightened way of working through cutting-edge research and applied machine learning. The compensation for this internship ranges from $11,500 to $12,500 USD for the summer period.