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Audio Research Engineer (23759)

£competitive, plus stock options

Hey there! This is just one of many top career opportunities ECM can suggest — if this job isn't right for you, let us do the hard work! Tell us what you're looking for and we'll start searching for you. We promise to treat your CV as strictly confidential.

Signal Processing, Machine Learning, Audio Signals, Top Opportunity

With this dynamic company who are well positioned to be world beaters in their specialist area. Their software is used in consumer devices to process and react to significant sounds.

Due to growth, they are now looking for a smart Audio Research Engineer to join their team and develop new algorithms that will push the limits of their unique sound recognition system. You’ll love tough challenges, and are passionate about audio/sound, DSP and Machine Learning.

You’ll have either a Master’s degree with some industrial experience or a PhD in areas involving signal processing or machine learning, as applied to audio signals.

To implement the algorithms, you’ll need solid Python with C/C++ programming skills too.

Particular experience of interest includes: Deep Neural Networks, Hidden Markov Models, Support Vector Machines, Decision Trees etc, as applied to the processing of Audio Signals.

This is a great opportunity to join an already successful company with a big potential for further growth. The successful Audio Research Engineer will receive an attractive package appropriate to qualifications and experience, to include a competitive salary and stock options.

Now interviewing, so don’t miss out - contact ECM Selection directly for details of this exciting new opportunity.

Keywords: audio, sound, acoustics, research, DSP, digital signal processing, machine learning, audio signals, speech recognition, music recognition, deep neural networks, hidden Markov models, support vector machines, decision trees, algorithms, Python, C, C++, central Cambridge.

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