Edge AI Audio ML Intern: KWS & AED Low-Power Hardware
Listed on 2026-10-06
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IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Hardware Engineer
Syntiant Corp., a leader in AI software and semiconductor solutions, seeks a Machine Learning Intern to support algorithms on keyword spotting and audio event detection models running on ultra-low-power edge hardware.
You will work with senior ML engineers, helping build, evaluate, and improve models that operate within strict memory and power budgets on NDP-class processors, spanning data curation to training and hardware-aware evaluation.
Step into the Edge AI Audio ML Intern: KWS & AED on Low-Power Hardware role at Syntiant Corp. in Redwood City, CA, United States and grow with us.
We are currently recruiting a Edge AI Audio ML Intern: KWS & AED on Low-Power Hardware for our team in Redwood City, CA, United States.
This is a strong position to take on the Edge AI Audio ML Intern: KWS & AED on Low-Power Hardware role at Syntiant Corp.
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