Summary
Jon Simon is a Senior ML Software Engineer with 12 years of experience building production-ready ML systems, currently focused on post-training improvements for Gemini at Google DeepMind. He has a strong track record in applied NLP and model fine-tuning—having improved Bard’s reasoning, enhanced entity grounding and ranking for Google Assistant, and implemented cross-task contextual ranking. Trained in computer science (Cornell) with a B.S. in Mathematics, Jon blends statistical rigor from bioinformatics and neuroscience research with pragmatic engineering across Python and C++. He’s comfortable moving models from prototype to product, having shipped signal-processing and behavioral models in startups and automated analytics pipelines at scale. Notably, his background includes both algorithm design (simulated annealing for immunogenicity reduction) and low-level sensor classification in C++, reflecting a willingness to tackle problems across the stack. Based in Toronto, he enjoys solving interesting, interdisciplinary problems that sit at the intersection of algorithms, data, and product impact.
12 years of coding experience
8 years of employment as a software developer
Master’s Degree Computer Science, Master’s Degree Computer Science at Cornell University
Bachelor of Science (B.S.) Mathematics, Bachelor of Science (B.S.) Mathematics at University of Rochester