Principal Machine Learning Engineer at Edge Impulse
Melbourne, Victoria, Australia
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Summary
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Senior
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Top School
Matthew Kelcey is a Principal Machine Learning Engineer based in Melbourne with 17 years of experience building production ML systems from tinyML devices to Google- and Amazon-scale data platforms. He blends deep research pedigree—years on Google Brain working on deep RL for robotics and large-scale NLP, plus tenure advising Common Crawl—with hands-on engineering across search, recommendation, audio, vision and financial systems. A neural-net coder since 1997, he moves comfortably between prototyping research models and delivering robust, operational pipelines at scale. At Edge Impulse he applies that breadth to embedded and edge ML, while prior roles at ThoughtWorks, AWS and Wavii show a consistent focus on turning academic ideas into reliable products. Outside work he’s a self-described “data nerd wannabe” and, less obviously, a collector of four different helmet types—hinting at a pragmatic, adventurous streak.
18 years of coding experience
21 years of employment as a software developer
BComp (Hons) Artificial Intelligence, BComp (Hons) Artificial Intelligence at University of Tasmania
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