Pete Warden
Also known as petewarden
Pete Warden works on machine learning for small devices, from TensorFlow Lite to the TinyML book. As of October 2026, he is CEO of Moonshine AI, formerly Useful Sensors. In 2003 he created image-processing filters that Apple bought, and in 2012 he co-founded Jetpac as its CTO. Google acquired Jetpac in 2014, and at Google he led development of TensorFlow Lite; he co-authored the 2016 TensorFlow paper. In 2022 he announced his departure from Google for a Stanford PhD and co-founded Useful Sensors, and in 2024 he co-authored the Moonshine speech-recognition paper.
Timeline
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2003
Video filters bought by Apple
In 2003, he creates a set of image-processing filters for detecting features in video, and Apple buys them.
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2012
Co-founding Jetpac
He co-founds Jetpac as CTO, a startup that launches in 2012 and analyzes Instagram photos to build city guides.
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2014
Joining Google through Jetpac
Google acquires Jetpac in 2014, and he joins Google, where he leads development of TensorFlow Lite.
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2016
Co-authoring the TensorFlow paper
In 2016, the TensorFlow paper is published at the USENIX OSDI symposium, and he is one of its co-authors.
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December 2019
A TinyML book
He and Daniel Situnayake publish TinyML with O'Reilly in December 2019, a guide to machine learning on Arduino and ultra-low-power microcontrollers.
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2022
Leaving Google for Stanford
In February 2022, he announces that he is leaving Google to study for a Computer Science PhD at Stanford. He co-founds Useful Sensors in 2022.
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October 2024
The Moonshine speech models
He co-authors the Moonshine paper, submitted in October 2024, which introduces speech-recognition models for live transcription and voice commands.
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As of October 2026
Chief executive of Moonshine AI
He is CEO of Moonshine AI, formerly Useful Sensors, which he co-founded in 2022.
Sources and credits
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- Pete Warden - 2024 Summit
- Learning to fail for future success with expert engineer Pete Warden | Arduino Education
- TensorFlow: A system for large-scale machine learning
- TinyML: Machine Learning with TensorFlow Lite (O'Reilly)
- Leaving Google, Starting Stanford « Pete Warden's blog
- Himax and Useful Sensors Join Forces to Bring “AI Interfaces for Everyday Objects” to CES 2023 - The Tech Outlook
- [2410.15608] Moonshine: Speech Recognition for Live Transcription and Voice Commands
- Pete Warden - 2026 Summit