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Software Engineer, Machine Learning at Facebook

My team at Meta (In-Feed Recommendations) is hiring a number of ML engineers in the US We are building one of the most advanced recommendation engine in the industry to power discovery experiences on Facebook newsfeed with a diverse set of public content (Reels, videos, photos, web links, conversations, etc) available on our platform. You can make a big difference by working on a wide range of projects, including but not limited to user/content interests understanding, next-gen recommendation systems and modeling technologies, new social discovery experiences to help create communities of like-minded people. Check out the following links to learn more: The AI Behind Unconnected Content Recommendations on Facebook and Instagram https://lnkd.in/gZ7XV_am Meta Rethinks the Philosophy of the Facebook Feed https://lnkd.in/ggJzk3g3 If interested, please DM me. ==================== Team / Role Summary We are part of the FB Feed Relevance Org, and our team’s mission is to create joyful discoveries and meaningful connections via personalized recommendations on people’s home feed with deep understanding of their interests. We are responsible for building the E2E recommendation system to power all the interest-based public content discoveries across FB Feed. Why is This Impactful IFR is a central product in Facebook’s long term vision, Discovery Engine. Each day we are sending more than 50B posts to our users. From Mark Zuckerberg's Q2 earnings call: "AI-recommended content from accounts you don't follow is now the fastest growing category of content on Facebook's feed. Since introducing these recommendations, they’ve driven a 7% increase in overall time spent on the platform. This improves the experience because you can now discover things you might not have otherwise followed or come across." Your Role As an ML Engineer, you will help build one of the world’s largest recommendation engine, implement state of the art ML algorithms and modeling techniques, directly influence billions of users’ News Feed Experience. You will also learn how to build an ultra large scale Recommender System from end to end and grow your career as a domain expert, and lead our efforts to build emerging new experiences on the Newsfeed Recommendations platform.

The AI behind unconnected content recommendations on Facebook and Instagram

The AI behind unconnected content recommendations on Facebook and Instagram

ai.meta.com

Jiongxuan (Chris) Zheng

Machine Learning Engineer at Facebook

3mo

Amazing opportunity

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