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Evan Welbourne

Head of ML and CV at Samsara - I'm hiring!

Evan Welbourne is a prominent figure in the field of Machine Learning and Computer Vision, currently leading these areas at Samsara where he focuses on developing ML/CV platforms and products using multimodal deep learning technologies over vast amounts of sensor data and live video feeds.

With a rich background in the tech industry, Evan's experience includes being the Head of ML at Alexa Smart Home, CEO of AlgoSnap Inc., managing the Computer Vision Research Group at Amazon, and leading the Device Intelligence Group at Samsung Research, among other notable roles at companies like Nokia, Microsoft, and Intel.

Evan's academic journey includes a Ph.D. in Computer Science & Engineering from the University of Washington, where he spearheaded the RFID Ecosystem project. He also holds a Master's degree in Computer Science & Engineering from UW and a Bachelor of Science with Honors in Computer Science and Mathematics from the University of Toronto.

Passionate about fostering high-performance teams and delivering cutting-edge software products, Evan's current endeavors focus on building infrastructure and tools that enhance interactions with machine learning and analytics systems, with a strong emphasis on privacy-preserving device-cloud architectures and collaboration with the academic research community.

His technical expertise spans Sensor and Location data, Machine Learning, Scalable Analytics, Privacy, HCI, Energy Efficiency, and more. Evan's professional journey showcases his dedication to pushing the boundaries of technology and driving innovation in the realms of intelligent computing and human-computer interaction.

Evan Welbourne
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Location

Greater Seattle Area