Audio Processing Engineer (Full-Time / Intern)
Role Overview:
As an Audio Processing Engineer, you will lead the development of our innovative VoiceGuard™ feature. You will build the systems that can distinguish between a genuine customer and a deepfake voice, protecting our clients from emerging voice-based scams.
Responsibilities:
Design and implement algorithms for deepfake audio detection and voice biometrics (voice imprinting).
Process and analyze audio streams from call centers in real-time to identify suspicious indicators.
Research the latest advancements in audio processing and AI-driven voice synthesis to keep our defenses ahead of fraudsters.
Collaborate with the AI/ML team to build robust models for voice-based anomaly detection.
Qualifications:
For Full-Time: MS/PhD in a relevant field with 2+ years of experience in audio or speech processing.
For Interns: Currently enrolled in a Master of Science or PhD program in Electrical Engineering or Computer Science with a focus on Digital Signal Processing (DSP).
Strong background in audio signal processing, speech analysis, and machine learning.
Proficiency in Python and experience with audio processing libraries (e.g., Librosa, SciPy).
Apply Now
Apply Now
As an Audio Processing Engineer, you will lead the development of our innovative VoiceGuard™ feature. You will build the systems that can distinguish between a genuine customer and a deepfake voice, protecting our clients from emerging voice-based scams.
Responsibilities:
Design and implement algorithms for deepfake audio detection and voice biometrics (voice imprinting).
Process and analyze audio streams from call centers in real-time to identify suspicious indicators.
Research the latest advancements in audio processing and AI-driven voice synthesis to keep our defenses ahead of fraudsters.
Collaborate with the AI/ML team to build robust models for voice-based anomaly detection.
Qualifications:
For Full-Time: MS/PhD in a relevant field with 2+ years of experience in audio or speech processing.
For Interns: Currently enrolled in a Master of Science or PhD program in Electrical Engineering or Computer Science with a focus on Digital Signal Processing (DSP).
Strong background in audio signal processing, speech analysis, and machine learning.
Proficiency in Python and experience with audio processing libraries (e.g., Librosa, SciPy).
Apply Now
Apply Now