Sofia Samaniego - Staff Machine Learning Research Engineer at Google DeepMind

Sofia Samaniego

Staff Machine Learning Research Engineer at Google DeepMind

New York, New York, United States

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Summary

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Senior

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Top School

Sofia Samaniego is a Staff Machine Learning Research Engineer with nine years of experience building large-scale, multimodal and sequence-based ML systems for product and research at organizations including Google DeepMind, Twitter Cortex, Cerebras, and Etsy. She specializes in efficient transformer architectures, conditional computation, and multimodal pre-training, and has led work on real-time streaming AI agents, personalized ranking via sequential models, and emotive intent recognition in social media. Sofia combines academic rigor from a Stanford M.S. in Statistics and an Applied Mathematics background with hands-on hardware-ML co-design experience from Cerebras, enabling scalable model training and inference. Born and raised in Mexico City, she brings a mission-driven focus to applying AI for social and environmental impact and a track record of translating research into production-facing solutions. An early trailblazer in her Stanford program, she’s comfortable bridging technical leadership, customer-facing projects, and cross-disciplinary research.

9 years of coding experience

10 years of employment as a software developer

Licentiate degree Applied Mathematics, Licentiate degree Applied Mathematics at Instituto Tecnológico Autónomo de México

Master of Science (M.S.) Statistics, Master of Science (M.S.) Statistics at Stanford University

English, Spanish

Stackoverflow

Stats

1reputation

137reached

0answers

1question

Github Skills (3)

igraph6

bipartite6

python6

Github contributions (4)

sofia-samaniego/cs224n-spotify

Feb 2018 - Mar 2018

Contributions:16 commits, 35 pushes, 1 branch in 1 month

sofia-samaniego/hello-world

Aug 2016 - Aug 2016

Contributions:2 PRs, 2 pushes, 3 branches in 1 day

javapython

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