Sr. Audio Systems AI Engineer

Key responsibilities:

• Collaborate with a cross-disciplinary team to deliver state-of-the-art far field voice quality and speech recognition performance

• Design and implement machine learning models on frontend audio tasks, such as noise suppression, voice enhancement, voice activity detection, speaker recognition

• Port to different platforms and optimize speech processing algorithms for voice communications and speech recognition

• Evaluate and integrate vendor hardware and software stacks

Basic Qualifications:

• Bachelor’s degree in Acoustics, Electrical or Computer Engineering, Physics, or related field

• 5+ years of experience in speech and audio signal processing

• Experience with consumer hardware

• Experience with voice quality measurement using HATS, GRAS, and Head Acoustics

• Experience with acoustic testing, such as AVS testing, cellular handset testing, headset/earbud testing, 

Preferred Qualifications:

• Masters or PhD degree in Acoustics, Electrical or Computer Engineering, Physics, or related field

• 7+ years conceiving, deriving, implementing, and porting algorithms for acoustic echo cancellation, noise suppression, speech enhancement, beamforming, source separation, voice activity detection

• Knowledge of ASR (Automatic Speech Recognition), word spotting, acoustic event detection

• Knowledge of acoustic design, such as formfactor, microphone placement, speaker placement

• Machine learning/deep learning applied to classical speech and audio signal processing problems

• Authorized to work lawfully in the United States

• Generally able to work Pacific Time zone business hours

*To apply, send your PDF resume to join (at) syntiant (dot) com with the subject line “Audio Systems AI Engineer”.