Do you excel within the field of data analytics and machine learning? Would you like to contribute to feature, platform and technology development?
Join us and help create products that make a real difference by making life sound better to hearing-impaired people around the world.
We inspire innovation
You will be part of GN Hearing at our HQ in Ballerup, Denmark. We are a global, data-driven organization and more than 8% of our revenue goes into research and development as our aim is to ultimately enable our end-users to hear more, do more and be more than they ever thought possible.
Join a dynamic, fun and growing team of data scientists and machine learning engineers. On a weekly basis you will discover new insights and communicate innovative findings across a broad technical audience. You will also have the opportunity to collaborate with our research teams in the Netherlands and USA and will therefore travel approximately 10 days a year.
Are you curious about what impact your work will do? Click here to see a heart-warming reaction from one of our end-users.
Behavioral data, mathematical models and data science
As a machine learning engineer, you will get insight into all parts of the hearing aid dataflow and work with Python based data visualization and mathematical models providing the best possible experience for the end-user.
We work in an agile environment based on the SAFe method and therefore, you will have plenty of opportunities to learn about the latest machine learning research and make our user experience the best in the market.
More specifically, you will:
Create artificial intelligence models and look at behavioral data, based on online logging of data from our end-users
Study and transform data science prototypes
Train your colleagues within the team
Perform statistical analysis, run experiments and optimize machine learning models
Research and implement appropriate ML algorithms and tools as well as extending our existing ML libraries and frameworks
Deploy ML models in production environment
Select appropriate datasets and data representation methods
“Here, you are at the edge of applied research and have to find solutions in un-chartered territory. This enables you to utilize the latest machine learning models, develop new applications and more,” explains Lead Machine Learning Engineer, Lionel Kuhlmann.
A master of machine learning, mathematics and teamwork
We are looking for a colleague who thoroughly enjoy investigating data in numerous forms leading to the creation of behavior and usage models. Moreover, you have excellent communication skills and an analytical approach to problem solving.
For this role, we also imagine that you:
Have an MSc in engineering, computer science, mathematics or a similar field – if you have a PhD, it is an advantage
Have 5+ years of experience as a machine learning engineer or from a similar role
Possess a profound understanding of data structures, data modeling and software architecture as well as deep knowledge of mathematics, probability, statistics and algorithms
Are able to write robust code in Python as well as C++ and C# – Julia is a plus
Are familiar with machine learning frameworks such as Keras, TensorFlow, PyTorch and libraries like scikit-learn
Speak and write English fluently
Would you like to know more?
To apply, use the ‘APPLY’ link no later than February 22, 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 Lead Machine Learning Engineer Lionel Kuhlmann on +45 53 57 35 62 .