Echosonic is an early-stage start-up based in Montreal, Canada. The company aims to bring machine learning inference and training to sensors, specifically for audio signal processing. Echosonic was establish in 2022 and recently received funding that will enable it to build the next generation of smart microphones with on-sensor machine learning capabilities and its first prototype. We are looking to grow our team while also building ground-breaking technology.   

As the edge AI engineer, you will:

  • Develop and optimize machine learning based audio processing pipeline, and deploys the software to the edge devices for demonstration 
  • Working closely with the research and development team to examine the technologies to perform machine learning model training on the edge
  • Collaborate with the hardware engineer to iterate algorithmic development with the upgrading of the edge hardware for audio processing
  • Collaborate with the MEMS research team to develop the software part of the proof-of-concept MEMS on-sensor audio processing 

What we are looking for in our team member: 

  • Possess a master’s degree in computer science, computer engineering, or electrical engineering 
  • Hands on experience with common machine learning architecture such as LSTM, CNN, and/or transformer and machine learning development libraries like TensorFlow, PyTorch and Sklearn
  • Proficient in C/C++, or JavaScript
  • Experience working on microcontroller, FPGA, and edge devices with machine learning inference frameworks like TVM, TF-Lite, and NCNN
  • Time series signal processing and DSP experience focusing on audio processing will be a plus 

What we offer: 

  • Opportunities for career development and a platform for rapid growth 
  • Unlimited snacks, free lunch on Wednesdays, and social outings with the team 
  • The opportunity to work in a venture that is commercializing cutting-edge technology 
  • Work with an awesome team of scientists and entrepreneurs 

Please email and with your CV for interview opportunities 

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