Opportunity Description
Drive innovation in audio technology as an Audio R&D Scientist with EERS 2 Live. Specialize in DSP and machine learning techniques to enhance communication devices in high-noise environments.
Reporting to the Principal Audio R&D Scientist, you will contribute to projects involving in-ear acoustics and audio signal processing. Your focus will be on applying DSP and machine learning for developing algorithms that improve voice clarity and noise management in EERS' products. Candidates should possess strong organization skills and meticulous attention to detail to succeed in this collaborative role.
Key Responsibilities:
• Carry out acoustic measurements and data collection
• Develop and evaluate DSP and ML algorithms
• Organize field trials and internal evaluations
• Optimize algorithms for embedded systems
• Document and share findings with the team
Requirements:
• Master’s in Electrical Engineering or related fi...
Reporting to the Principal Audio R&D Scientist, you will contribute to projects involving in-ear acoustics and audio signal processing. Your focus will be on applying DSP and machine learning for developing algorithms that improve voice clarity and noise management in EERS' products. Candidates should possess strong organization skills and meticulous attention to detail to succeed in this collaborative role.
Key Responsibilities:
• Carry out acoustic measurements and data collection
• Develop and evaluate DSP and ML algorithms
• Organize field trials and internal evaluations
• Optimize algorithms for embedded systems
• Document and share findings with the team
Requirements:
• Master’s in Electrical Engineering or related fi...
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