Machine Learning Engineer (Fully Remote)

Role Overview

As a Machine Learning / Signal Processing Engineer (fully remote), you will research and develop algorithms to accurately detect gunshots from audio and visual signals. This capability is central to how AmberBox identifies and responds to emergency incidents.

Responsibilities

• Research and develop gunshot detection algorithms using audio and visual inputs
• Apply signal processing techniques to improve detection accuracy
• Build and/or integrate neural network models for detection

Requirements

• Signal processing background, including familiarity with:
  • FFT, DFT, DTFT
  • FIR and IIR filters
• Neural network experience with one or more of:
  • DNN, CNN, RNN
• Python experience

Nice to Have

• Embedded systems experience
• Speech recognition experience
• C/C++
• Experience working with or building Linux systems
• Statistical pattern processing background, including:
  • Wiener filters
  • Support Vector Machines (SVMs)