Ready to take on a senior role and set the direction for machine learning in close collaboration with a dedicated team?
Join GN Hearing and contribute to feature, platform and technology development and work with cutting-edge technologies.
“You’ll get a unique opportunity to work with large amounts of data. Your work feeds directly into the company and makes a real difference for people with hearing loss,” says Anthea Bott, Team Lead.
We inspire innovation
Join GN Hearing at our HQ in Ballerup, Denmark. More than 8% of our revenue goes into research and development – enabling us to create intelligent audio solutions that transform the lives of people with hearing impairment.
In our R&D Machine Learning team, you will become part of a small and enthusiastic group of data scientists, machine learning engineers and audiologists who are passionate about their work. Moreover, you can look forward to collaborating and sharing knowledge with our research teams in the Netherlands and USA.
Leave your mark on machine learning
As our new senior machine learning engineer, you will help us create ML models to make user-centric products and improve the hearing aid experience. In that way, you will help our users hear more, do more and be more than ever thought possible.
Our methods utilize Python and Azure, and you will also work with Pandas, Spark, XGBoost, Random Forest, and Neural Networks.
Taking on a senior role in the team, you will help set the direction for our ML models and retraining systems. As such, some of your key tasks will be to:
Experienced machine learning afficionado
To succeed in this role, you are a team player who likes to exchange ideas with your colleagues and engage with a variety of colleagues from different departments – from audiologists to marketeers and R&D professionals.
You thrive working in an agile set-up where priorities can change swiftly – and where you need some resilience to find the right ML solutions.
Would you like to know more?
To apply, use the ‘APPLY’ link no later than 9 July 2021. Applications are assessed on a continuous basis, which is why we encourage you to send your application as soon as possible.
If you want to know more about the position, you are welcome to contact Anthea Bott, Team Lead, R&D Machine Learning Data & Insights on +45 30 36 57 13.