Embeddings@Twitter

Abhishek Tayal offers insight into how Twitter's ML platform team, Cortex, is developing models, related tooling, and infrastructure with the objective of making entity embeddings a first-class citizen within Twitter's ML platform. Abhishek also shares success stories on how developing such an ecosystem increases efficiency and productivity and leads to better outcomes across product ML teams.

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Who is this presentation for?

Prerequisite knowledge:
Basic understanding of Machine Learning

What you'll learn?

Abhishek Tayal is a Manager, ML Engineering with Cortex - the centralized machine learning group at Twitter, where he manages MLX (ML-Extended Environment) team. MLX is working on a variety of problems in the space of recommendation systems at Twitter like Embeddings, Candidate Generation at scale etc. Abhishek started his journey with Twitter as part of the ads prediction team for its direct response ad products. Previously, Abhishek worked with Tellapart, an ad tech startup (acquired by Twitter), and the Prime Video recommendations team at Amazon, where he led the development of the first-generation ML-based recommendation system for videos. He holds a master’s degree from the University of Southern California in LA.