Jimmy Tobin is a Senior Software Engineer in the San Francisco Bay Area with 12 years of experience specializing in audio machine learning and production systems. He currently works on Google Beam Audio ML and has contributed to Google projects including Project Euphonia and Google Home, bringing research-grade models into consumer products. His background blends academic training from Stanford (BS, MA) with hands-on R&D roles at Dysonics, Dolby, and music-focused research labs, giving him deep domain expertise in audio, acoustics, and signal processing. Jimmy’s career path—spanning internships, teaching assistantships, and independent R&D—reflects both strong research chops and practical engineering delivery. Unusually for an ML engineer, he also has creative roots as a street musician, which informs a human-centered approach to audio tech. He is known for bridging experimental audio research and scalable product engineering to improve real-world speech and sound understanding.
12 years of coding experience
3 years of employment as a software developer
Independent Study, Independent Study at Coastal Carolina University
Bachelor of Science (BS), Bachelor of Science (BS) at Stanford University
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