Join our team as an AI/ML Engineer at GN Jabra, where you will have the opportunity to work on cutting-edge audio and vision processing technologies
In this foundational role within the Office of the CTO, you will play a key part in establishing a world-class team competency in AI/ML. If you have experience with video segmentation or video activity detection, we are particularly interested in you. Your expertise in independently developing CNN algorithms will be highly valued.
This position offers a dynamic and collaborative work environment, where you will engage with team members to tackle open-ended problems that require innovative solutions. Your communication skills and ability to thrive in a high-intensity setting will be essential.
You will also benefit from a multi-disciplinary approach, interacting with marketing, sales, and product development teams to drive impactful projects.
Embark on an exciting adventure with us and make a significant impact in the world of AI/ML at GN Jabra.
The Team You Will be Part of
You will be working in the Research and Technology organization in the Video Technology group. This is team is responsible for the development of advanced Machine Learning and signal processing techniques to provide differentiated value to the collaboration product portfolio.
You will be working from our HQ in Ballerup and be part of an international team where you will refer to the Director of Video Technology based in Cupertino.

Your contribution is appreciated, and you will:

• Have responsibility creating SOTA AI models to run in GN Video Collaboration products.
• Find innovative ways to improve latency, throughput and accuracy of AI models running on advanced SOC’s.
• Work with a world class research and development team developing cutting edge multi-modal AI models.

To succeed in the role, we imagine that you have

• Master / Phd Degree in Computer Science / Engineering with emphasis on traditional and AI based processing techniques.
• Understand how to build and maintain datasets (real and synthetic) for production AI models
• Deep understanding of vision and audio processing with AI/ML. Experience with Large Multi-Modal Action Models is a plus.
• Experience in optimizing CNN models for embedded SoCs
• Experience with Qualcomm architecture a plus
• Optimization techniques for transformer based models is a plus

We encourage you to apply
Even if you don’t match all the above-mentioned skills, we gladly receive your application if you think you have transferrable skills. We highly value the right mindset; motivation and energy and we believe that the right personal competencies are highly important for creating success.
We are dedicated 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 driven by innovation, we deliver technology that enhance the senses of hearing and sight. We help people with hearing loss 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 July. 15. Applications are assessed on a continuous basis, so don’t wait to send yours.
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 Ted Vucurevich, Director of Video Technology on tvucurevich@jabra.com
We hope you will join us on this journey and look forward to receive your application.

LI-Jabr

• Master / Phd Degree in Computer Science / Engineering with emphasis on traditional and AI based processing techniques.
• Understand how to build and maintain datasets (real and synthetic) for production AI models
• Deep understanding of vision and audio processing with AI/ML. Experience with Large Multi-Modal Action Models is a plus.
• Experience in optimizing CNN models for embedded SoCs
• Experience with Qualcomm architecture a plus
• Optimization techniques for transformer based models is a plu