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Machine Learning / Signal Processing Engineer (Fully Remote) jobs in United States
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AmberBox Gunshot Detection · 21 hours ago

Machine Learning / Signal Processing Engineer (Fully Remote)

positionUnited States
timeFull-time
remoteRemote
seniorityMid Level
AmberBox is the industry leader in gunshot detection and response technology, helping various organizations protect their staff and visitors from workplace violence. The Machine Learning / Signal Processing Engineer will research and develop algorithms to accurately detect gunshots from audio and visual cues, playing a crucial role in the emergency response process.
Cyber SecurityPublic SafetyPhysical SecuritySecurity

Responsibilities

Researching and developing algorithms capable of accurately detecting gunshots from audio and visual queues

Qualification

Signal processingNeural networksPythonEmbedded systemsC/C++Statistical pattern processingSpeech recognition

Required

Signal processing background (familiar with FFTs, DFTs and DTFTs, also FIR and IIR filters)
Neural Network experience (DNN, CNN, RNN)
Python

Preferred

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

Company

AmberBox Gunshot Detection

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Detect Gunshots | Inform Law Enforcement | Empower First Responders
dateFounded in 2015
location
San Francisco, California, USA
people-size11-50 employees
web-link
https://amberbox.com/

Funding

Current Stage
Early Stage
Total Funding
$2.12M
Key Investors
Uncork Capital
2016-08-24Seed· $2.12M

Leadership Team

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James Popper
CEO
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Recent News

PRWeb
Tampa Bay Buccaneers Announce Deployment of AmberBox Gunshot Detection
2026-02-04
Company data provided by crunchbase