At Pocket we love what we do, but more importantly we are building something that millions of people love, too. Pocket has become essential to how people discover and consume content worthy of their time and attention on any device and on their own time. If you are passionate about using technology to improve people's lives, we believe Pocket has challenges ahead that will excite you.
With millions of people discovering and consuming content across the Pocket platform, our community generates one of the most unique and interesting sets of data on the web. We are looking to expand our team to help achieve our mission of advancing access to and discovery of high-quality, personalized content across the web.
We're a small team that has the resources of a large company (Pocket was acquired by Mozilla in 2017) and that means lots of opportunity to own projects from start to finish that have tremendous impact on hundreds of millions of users, across many different devices and platforms. Your role will fundamentally affect the success of Pocket.
As a part of our Internship Program, you will:
Application and Interview Process
Machine Learning Intern (San Francisco, CA)
The Data & Learning team at Pocket is responsible for recommendations and content analysis. Our work is applied to the Pocket products and the Firefox new tab. We typically use Python, and are looking for an intern with some machine learning and/or statistical experience. As an intern, you will help us explore recommendations, classifications, and optimization problems.
Mozilla exists to build the Internet as a public resource accessible to all because we believe that open and free is better than closed and controlled. Join us and become part of our mission to promote openness, innovation and opportunity online.
Mozilla is committed to Equal Employment Opportunity throughout our recruiting and hiring process and is dedicated to increasing diversity in our workplace.