Summary
Benjamin Bay is a Machine Learning Engineer in San Francisco with 10 years of experience building production-ready AI systems, currently focused on generative AI at Virta Health. He has deep hands-on experience training deep neural networks and managing large multi-modal scientific datasets from his work at Lawrence Livermore National Laboratory, including models used for simulation, inference, and design optimization. Benjamin has built distributed scientific workflow tooling and CI/testing infrastructure for HPC environments that are used across multiple national labs, demonstrating an ability to turn research into scalable operational software. His background includes published research on computational creativity and practical NLP work such as a BERT-based document recommendation system for analysts. He combines academic training (Stanford AI coursework, BS in Computer Science from BYU) with a practitioner’s focus on robust engineering, reproducibility, and end-to-end ML deployment. An under-the-radar strength is his experience shipping command-line and workflow tools that bridge the gap between supercomputer research and real-world scientific applications.
10 years of coding experience
4 years of employment as a software developer
Bachelor of Science (BS), Computer Science, Bachelor of Science (BS), Computer Science at Brigham Young University
AI Graduate Certificate coursework, Computer Science, AI Graduate Certificate coursework, Computer Science at Stanford University
English, Portuguese