Applied Scientist - Search & Relevance Amazon
San Francisco, CA

Job Description

Twitch is building the future of interactive entertainment. We are looking for passionate applied scientists who are excited to solve challenging and open ended problems in the domains of query understanding, ranking and relevance. As an applied scientist in the Twitch discovery team, you will help us better understand the customer intent and personalize their search and discovery experience. You will be developing next-generation intelligent products using state of the art ML/NLP models with a world class engineering team. You will help drive the engagement for hundreds of millions of viewers by enriching their interaction with Twitch discovery products such as search, browse, tags etc.

At Twitch, which is part of Amazon, you'll experience the benefits of working in a dynamic, entrepreneurial environment in the heart of San Francisco, while leveraging the resources of Amazon.

Responsibilities

* Work on building a robust, scalable and extensible query understanding and ranking service that handles hundreds of millions of queries / day
* Work closely with the discovery engineering and product management team to create flexible data pipelines and ML based services for discovery products
* Analyze the real user data and experiment different search algorithms to improve the quality of search for Twitch users
* Research, prototype, develop and productionize innovative ML techniques to improve user engagement and add business value
* Stay up to date with the state-of-the-art ML research
* Continuously experiment with new techniques in order to keep pushing the boundaries of Twitch centric content discovery