Senior Software Engineer, Machine Learning at Google
St. Louis, Missouri, United States
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Summary
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Rockstar
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Top School
Jacob Platin is a Senior Software Engineer specializing in machine learning inference, currently at Google where he optimizes large-model throughput on TPU and GPU stacks. Over six years he has driven practical performance wins—leading quantization (int8/int4/fp8) and KV cache support, Pallas kernel development, XLA/JAX profiling, and compiler/layout optimizations that boost end-to-end throughput while preserving model quality. His background includes core ML infrastructure work at Microsoft Azure AI Speech and hands-on systems and robotics internships at Unity and NVIDIA, giving him a rare blend of large-scale distributed training/inference and low-level accelerator tuning. Jacob combines strong research-caliber analysis (roofline and profiling) with production rigor—test suites, integration, and ecosystem collaboration—plus experience integrating cutting-edge models like DeepSeekV3 and Llama4. Based in St. Louis, he pairs an MSE in Robotics and double BSE in CS and Economics from Penn with a knack for turning compiler and hardware insights into measurable deployment improvements.
5 years of coding experience
5 years of employment as a software developer
High School, High School at Mary Institute and St. Louis Country Day School (MICDS)
Exchange, Computer Science and Economics, Exchange, Computer Science and Economics at ETH Zürich
High School Summer Program, Economics, High School Summer Program, Economics at Washington University in St. Louis
Master of Science in Engineering, Robotics, Master of Science in Engineering, Robotics at University of Pennsylvania
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Jacob Platin - Senior Software Engineer, Machine Learning at Google