Engineer Internship: Machine Learning applied to audio M/F
Job Description
- Knowledge in voice/audio signal processing.
- Conduct a state-of-the-art review of voice algorithms.
- Identify weaknesses and possible improvements in current algorithms.
- Develop voice algorithms for integration into future voice software solutions.
- Develop a prototype to demonstrate performance.
- Test the solution in the audio laboratory.
- Master's degree (Bac + 5), final year of engineering school in Machine Learning.
- Knowledge in Machine Learning/Neural network.
- Knowledge in Python, Matlab, C.
- Good level of English.
- Online and offline learning opportunities for career development.
- Commitment to sustainability.
- Inclusive work environment with programs for diversity, inclusion, and equality.
Context
The VOICE & AUDIO team based in Sophia Antipolis is responsible for the development and integration of audio algorithms for NXP microprocessors.
The NXP Sophia-Antipolis site has more than 250 employees, mainly hardware, software, and architect engineers. Our Voice & Audio team consists of about fifteen engineers dedicated to developing solutions for speech processing, audio, and generative AI. In this context, we are looking for a final year intern for a period of 6 months who will work on the development of voice processing algorithms for connected glasses. The internship is located in Sophia-Antipolis.
Missions
The intern will be responsible for/will carry out the following missions:
- State-of-the-art review of voice algorithms.
- Identify weaknesses and possible improvements in current algorithms.
- Development of voice algorithms with the aim of being integrated into our next voice software solutions.
- Development of a prototype to demonstrate performance.
- Testing of the solution in our audio laboratory.
Profile
Education level: Master's degree (Bac + 5), final year of engineering school in Machine Learning.
Knowledge in Machine Learning/Neural network.
Knowledge in Python, Matlab, C.
Knowledge in voice/audio signal processing is a plus.
A good level of English is required.
Career Development Opportunities
Bright Minds. Bright Futures.
We believe that a key component to growing our business is to develop our people. To enable you to grow your career at NXP, we offer online and offline learning opportunities to help you develop some of your core and professional skills.
Commitment At NXP.
We recognize NXP is a powerful change agent as we continue to deliver innovative solutions that advance a more sustainable future. We remain steadfast in our commitment to sustainability and making measurable year-on-year progress. Also, we aim to create an inclusive work environment and we will not tolerate racism, discrimination or harassment of any kind. We have programs in place focused on diversity, inclusion and equality.
Thank you for considering a career at NXP. To help you prepare for the different steps in our hiring process, see the following useful advice and tips.
Are you already an NXP employee? Do not apply here. Instead, you must apply via our internal career page.
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