Posted:1 day ago|
Platform:
Work from Office
Full Time
Serving recommendations to 300+ million users entails developing large scale personalization and recommendation models that understand user needs and preferences in realtime, while also helping creators grow their audiences on our platforms. A subset of the problems we tackle include:
We rely extensively on state-of-the-art ML around personalization, deep learning, causal inference, optimization, ranking and recommendation.
AI - Our AI teams are spearheading the research and development, presenting innovations at various conferences. to learn.
Learn from our CEO Ankush about our culture, innovation and growth.
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