Member Of Technical Staff at Physical Intelligence
San Francisco, California, United States
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Summary
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Rockstar
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Vladislav Lialin is a Machine Learning Research Engineer with a Ph.D. in Computer Science and NLP and over a decade of programming experience across industry and academia. He has 3 years of commercial ML engineering experience (pre-PhD), 7+ years in deep learning and data science, and a strong publication record including ACL and EMNLP, reflecting hands-on research-to-production expertise. Vladislav has interned at Google, Apple, and Amazon and worked at startups and research labs where he contributed to PyTorch, Fairseq, HuggingFace Transformers and T0, and now focuses on multimodal AI, efficient large-scale training, RLHF and AI safety. Based in San Francisco, he blends rigorous math/physics training from MIPT with practical engineering—enjoys building ML pet projects and brings a rare combination of research depth and production experience aimed at next-gen AI systems. Unexpectedly, he channels creative thinking from hobbies like piano and music theory into his approach to modeling and problem decomposition.
10 years of coding experience
9 years of employment as a software developer
Master of Science - MS, Applied Mathematics and Computer Science, Master of Science - MS, Applied Mathematics and Computer Science at Moscow Institute of Physics and Technology (State University) (MIPT)
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