Siddharth Verma is a research engineer with 10 years of experience building and pretraining large language models and multimodal transformers, currently contributing to Gemini pretraining at Google DeepMind. He previously worked on chatbot systems and production ML at Square and Character.AI, and was selected into Facebook AI’s highly competitive AI Residency to research image, video, and text understanding. His background blends rigorous academic research—publishing a first-author NeurIPS paper at Berkeley AI Research—with hands-on engineering, including implementing and optimizing Transformer models for on-device translation at Apple. Based in Cambridge, MA, he pairs deep model pretraining expertise with product-minded ML engineering, and brings a creative edge as a hobbyist musician who studied both computer science and music at UC Berkeley. Notably, his career spans both cutting-edge research and production deployments, making him fluent in taking models from experimental results to scalable systems.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Arts - BA Computer Science Music, Bachelor of Arts - BA Computer Science Music at University of California, Berkeley
International Baccalaureate, International Baccalaureate at The International School Bangalore
Contributions:17 PRs, 103 pushes, 6 branches in 10 months
pytorchreinforcement-learningminimalistic
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Siddharth Verma - Research Engineer at Google DeepMind