Machine Learning Engineer - Recommendation System

Quora, a remote-first company with over 400M monthly unique visitors, is seeking a Machine Learning Engineer to join their Recommender System team. The role focuses on optimizing content distribution across Quora's platforms, including their main Q&A platform and Poe, their AI interaction platform. The position offers the opportunity to work on challenging problems at scale, implementing end-to-end machine learning solutions that directly impact millions of users.

The ideal candidate will join a diverse, global team working on sophisticated recommendation systems, handling everything from data pipelines and feature engineering to model training and production deployment. The role requires expertise in machine learning algorithms, strong coding skills in Python/C++/Golang, and the ability to collaborate effectively in a remote environment.

Working at Quora means joining a culture of transparency and experimentation, where engineers have significant autonomy and impact. The company offers competitive compensation ($170,472 - $252,439 USD), comprehensive benefits, and the flexibility of remote work. This is an excellent opportunity for experienced ML engineers who want to contribute to growing and sharing the world's knowledge while working with cutting-edge technology and AI applications.

The position requires availability during Quora's coordination hours (9am-3pm Pacific Time) and at least 3 years of professional ML development experience. You'll be working on innovative features for recommender systems, optimizing user and advertiser performance, and helping build the next generation of content distribution platforms.