Mozilla / Pocket | San Francisco | Local and Remote
At Pocket, our mission is to enable people to consume stories worthy of their time and attention. Our apps and platform are essential ways that over 100M people discover and consume content on 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.
We share Mozilla’s commitments to transparency and privacy on the internet and within that context are building a team to expand our data products in search, recommendations, and content understanding. We deploy these products across our Pocket platform as well as the Firefox browser, used by hundreds of millions of people.
The machine learning team has two openings we're actively recruiting for. A machine learning engineer to help us improve our privacy preserving recommendation products, and a backend engineer to help us scale our infrastructure and machine learning products. Both roles allow you to work on privacy preserving recommendation system, a problem you can not work on anywhere else. ;)
Machine Learning Engineer: <a href="
Backend Engineer: <a href="