Part-Time Student Worker in Audio Engineering with a Focus on Machine Learning

We are seeking a motivated part-time student worker to support our technology development team in the field of audio engineering with a focus on machine learning. This position offers the opportunity to gain practical experience in audio processing embedded systems and machine learning techniques. Ideal for students in Electrical Engineering Computer Science or related fields this role allows you to balance academic commitments with hands-on industry experience.

Tasks

• Assist in the implementation and testing of machine learning algorithms for adaptive Active Noise Cancellation adaptive Transparency Occlusion Cancellation speech enhancement noise reduction and Spatial Audio.
• Contribute to code development and documentation in C / C Python and MATLAB.
• Participate in code optimization tasks to improve efficiency and memory utilization.
• Support unit testing and debugging processes.
• Engage in learning opportunities in audio processing embedded systems and machine learning.

Requirements

Benefits

Key Skills

Bidding,Apps,Benefits,Corporate Recruitment,Android Development

Employment Type : Working student

Experience : years

Vacancy : 1