Senior Audio Engineer and Machine Learning Specialist
5 days ago
We are seeking a Senior Audio Engineer and Machine Learning Specialist to join our Audio Technology team.
In this role, you will enhance our capabilities in optimizing the audio processing of future GN products, specifically with the use of DNNs.
As a Senior Audio Engineer, you will contribute to our mission of Bringing People Closer. The work area will be creating audio solutions for our collaboration products intended for personal usage and for meeting rooms.
Your work will be crucial in ensuring that only the near-end voice is transmitted to the far-end with high and natural sound quality. This involves creating reliable voice pick-up and noise-reduction solutions that perform consistently.
The team you will be part of:
The Audio Technology team develops audio technologies that make GN products the preferred choice for customers. We work closely with our research and product development teams. We focus on adding value for both internal and external customers, building on solid craftsmanship.
Our approach is modular, constructing new technology on a robust and well-designed foundation. We verify and mature our technology through prototyping and thorough testing under realistic conditions.
Our team is diverse, with members from various nationalities, and we embrace personal and cultural differences. Our daily communication language is English. We create a learning culture where we support each other and learn from our mistakes - succeeding and failing as one team.
Your contribution is appreciated, and you will:
- Develop, evaluate and improve DNN based audio solutions for current and future products using resource constraint chipsets.
- Work with and improve a MLOps workflow supporting different libraries, filetypes and quantization limits.
- Facilitate end-to-end testing of ML models in typical use scenarios.
- Draft and execute experiments for new DNN technologies, spanning from database collection to proposing perceptual listening experiments.
- Integrate ML models into traditional real-time DSP solutions.
To succeed in the role, we imagine that you:
- Have a degree in acoustic engineering, electrical engineering, physics or similar.
- Are experienced in algorithm development within audio signal processing.
- Are familiar with audio measurements and subjective/objective audio evaluation metrics.
- Have a solid Python/Matlab and ML background.
- Cultivate a mindset geared towards critical thinking.
- Are pro-active in your approach towards your internal stakeholders.
- Experience with development tools such as make, git, and similar is desired.
We encourage you to apply:
Even if you don’t match all the above-mentioned skills, we will gladly receive your application if you think you have transferable skills. We highly value a mindset, motivation, and energy that aligns with our core values, to not only ensure growth for you but for your team and the wider GN organization as well.
We are committed to an inclusive recruitment process and all applicants will receive equal consideration for employment.
Join us in bringing people closer:
GN brings people closer through our leading intelligent hearing, audio, video, and gaming solutions. Inspired by people and motivated by innovation, we deliver technology that enhances the senses of hearing and sight. We enable people with hearing loss to overcome real-life challenges, improve communication and collaboration for businesses, and provide great experiences for audio and gaming enthusiasts.
How to apply?
To apply, use the ‘APPLY’ link no later than September 1st. Applications are assessed continuously, so don’t wait to send yours.
Quick apply:
You are welcome to use our Quick Apply function, where you only submit your up-to-date CV including a few sentences outlining your motivation for applying – quick and easy.
We encourage you to submit your CV without a photo to ensure an equal and fair application process.
If you would like to know more about the position, please contact Director of Audio Technology Clemen Boje Larsen on LinkedIn.
We hope you will join us on this journey and look forward to receiving your application.
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