Global Machine Learning Graduate, Ballerup, Denmark

GN Store Nord AS, Ballerup, Denmark, is looking for a Global Machine Learning Graduate.

Are you ready to figure out where your expertise truly fits within a global setup? And do you want to join a 2-year Graduate Program tailored to your skills and interests? Then look no further!

As an R&D Graduate, you will go through three rotations of 8 months. The first one will be in our HQ in Ballerup, then you transfer to a department outside Denmark, and then you come back to HQ, but in a different department.

Joining our Graduate Program September 1st, 2025, you can look forward to a thorough onboarding that will introduce you to our organization and your fellow graduate batch.

With multiple subsidiaries across the globe, we are sure to find a role abroad that matches GN’s business needs as well as your skills and interests. Throughout, you will be assisted by managers, program sponsors, and a mentor as you navigate a steep learning curve.

The team you will be part of

Within our R&D organization, you will find colleagues of diverse backgrounds and nationalities. Our product portfolio spans the entire GN Group and ranges from hearing aids and headsets to video and gaming equipment.

Also, you will become part of a network of 15 fellow graduates, working within Supply Chain Management, Finance, Marketing, Business, Software & Hardware Engineering.

Your contribution is appreciated, and you will:

• Gain experience working with large real-world datasets, communicating insights across R&D teams and to stakeholders
• Work with a variety of teams across our product portfolio – from hearing aids to video collaboration systems and from early exploration to model deployment and monitoring
• Work with a wide variety of machine learning models from traditional statistical models to deep neural networks and Generative AI and gain experience solving problems for both cloud-based model deployment and on edge model deployment

To succeed in the role, we imagine that you:

• Have a master's degree in Computer Science, Machine Learning, or similar and maximum 1 year of full-time work experience
• Have an interest in Machine Learning and are enthusiastic to get hands on experience working across the spectrum of Machine Learning
• Enjoy being part of a team, a steep learning curve and jumping from project to project
• Are an effective communicator and are comfortable both asking questions – as well as providing your own thoughts and solutions to problems
• Have international experience from internship, semester abroad, or volunteering. If something prevents you from having international experience (e.g. Covid), please specify

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 enhances 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.

Read more about our global and exciting Graduate Program here: GN Graduate Program or check out the GN Graduate Instagram​

We are committed to an inclusive recruitment process

All applicants will receive equal consideration for employment. As such, we encourage you to submit your CV without a photo to ensure an equal and fair application process. Should you have any special interview requirements, please tell the hiring manager upon accepting the interview invitation.

How to apply?

Use the ‘APPLY’ link on:

https://gn.wd3.myworkdayjobs.com/en-US/GN-Careers/job/Global-Machine-Learning-Graduate_R23288

no later than December 1st., 2024.

Applications are assessed continuously, so do not wait to send yours.

When applying, make sure to include the following:

• CV (max 2 pages)
• Cover letter, describing what will be your biggest contribution to the GN Graduate Program
• Your most recent grade transcript

If you would like to know more about the position, please contact Anthea Bott, R&D Graduate Sponsor, [email protected] or Graduate Program Manager, Anne Sophie Krog Pedersen, [email protected].

The recruitment process

After the application deadline, selected candidates will be invited for an online interview and abstract reasoning test. Those selected to continue the recruitment process will receive a personality assessment and be invited to the in-person Graduate Assessment Day, February 4th, 2025 at our HQ in Ballerup.

We hope you will join us on this journey and look forward to receiving your application.

https://www.gn.com/