Machine Learning / Signal Processing Engineer (Fully Remote)
United States
Full-time
1 week ago
H1B Sponsor
Key skills
Signal processingNeural networksPythonEmbedded systemsSpeech recognitionC/C++LinuxStatistical pattern processingC++CMachine Learning
About this role
AmberBox is the industry leader in gunshot detection and response technology. As a Machine Learning / Signal Processing Engineer, you will be responsible for researching and developing algorithms capable of accurately detecting gunshots from audio and visual queues.
Responsibilities:
- Researching and developing algorithms capable of accurately detecting gunshots from audio and visual queues
Requirements:
- Signal processing background (familiar with FFTs, DFTs and DTFTs, also FIR and IIR filters)
- Neural Network experience (DNN, CNN, RNN)
- Python
- Embedded systems experience
- Speech recognition
- C/C++
- Experience working with/building Linux
- Statistical pattern processing background (Wiener filters, Support Vector Machines)