Senior Machine Learning Engineer (Search Ranking) at Meta
San Francisco, California, United States
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Summary
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Rockstar
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Top School
Manish Keshri is a Senior Staff Machine Learning Engineer based in San Francisco with eight years of experience building production ML systems at scale, now focusing on cybersecurity at Palo Alto Networks. He led core ranking and retrieval improvements at Meta that impacted billions of users, including novel integration of high-dimensional embeddings into low-latency GBDT models and unifying video ranking via teacher–student distillation. His work spans content understanding, ads and search ranking, multimodal retrieval, and practical robustness—shipping classifiers for civic-quality and emerging events across 30+ languages and inventing models like RQVAE to stabilize ads ranking. Earlier roles in systems engineering and firmware gave him a rare full-stack perspective from low-level storage and firmware to large-scale ML pipelines. He’s an entrepreneurial builder who open-sourced platforms like TechVault and Danube and has a demonstrated knack for turning research ideas (e.g., memory-aware PCA, RL-based test selection) into measurable product gains.
8 years of coding experience
3 years of employment as a software developer
Master of Science - MS Data Science, Master of Science - MS Data Science at University of Minnesota
Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering, Bachelor of Technology (B.Tech.) Electrical and Electronics Engineering at National Institute of Technology, Tiruchirappalli
Contributions:10 pushes, 3 branches in 5 years 9 months
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Manish Keshri - Senior Machine Learning Engineer (Search Ranking) at Meta