Summary
Ben Murdoch is a research engineer in San Francisco with 10+ years of hands-on experience in conversational AI, reinforcement learning, and AI safety, currently contributing to third-party code generation models at Google. He has built and scaled production NLP systems—from managing the world’s largest GPT-2 deployment and slashing serving costs, to creating auto-NLP pipelines with Hugging Face, Kubernetes, and Ray Tune—plus production classifiers to detect social engineering. His background blends academic research (RL for text games, emergent communication) with applied ML at startups and tech giants including Amazon and Microsoft, and he’s presented work on generative email fraud and affordance extraction. Known to “build robot brains,” he also has a knack for community-driven data collection and training peers, having run mentorship programs, reading groups, and large labeling platforms.
10 years of coding experience
11 years of employment as a software developer
Computer Science, Computer Science at Brigham Young University
English, Russian