Experienced Machine Learning Engineer
Denne stilling er desværre ikke længere ledig.
Se alle ledige stillinger
Ballerup
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:
“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:
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.
#LI-Resound
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.
#LI-Resound
Information og data
Denne ledige stilling har jobtypen "Data Manager", og befinder sig i kategorien "Informationsteknologi".
Arbejdsstedet er beliggende i Ballerup.
Jobbet er oprettet på vores service den 19.1.2021, men kan have været deaktiveret og genaktiveret igen.
Dagligt opdateret: Dette job opdateres dagligt ud fra jobudbyderens hjemmeside via vores søgemaskineteknologi og er aktivt lige nu.
- Data Manager
- Ballerup
Lignende jobs
-
Master Data Specialist
BAT is evolving at pace into a global multi-category business. To achieve our ambition, we are looking for colleagues who are ready to Be The Change. Come, join us on this journey![xxxxx]Få mere info- Data Manager
- København
-
Manager, Data Analytics
Join us at [xxxxx], where innovation takes us forward in the dynamic realm of digital dentistry. As a global leader in cutting-edge technology, we’re shaping the future of healthcare through data-.Få mere info- Data Manager
- København
-
Data Consultant
We are a transport and logistics company providing the safe, reliable and efficient movement of people and goods - more than 12,000 colleagues, all committed to transforming our business into a gre..Få mere info- Data Manager
- København Ø
-
Data Analyst – Predictive Analytics
Are you keen on working with and for refugees and displacement-affected communities? Do you believe that data, when used in a responsible and appropriate manner, can make a difference for vulnerabl..Få mere info- Data Manager
- København
Statistik over udbudte jobs som data managere i Ballerup
Herunder ser du udviklingen i udbudte data manager i Ballerup over tid. Bemærk at jobs der ikke har en bestemt geografi ikke er medtaget i tabellen. I den første kolonne ser du datoen. I den næste kolonne ser du det samlede antal data managere.
Se flere statistikker her:
Statistik over udbudte data managere i Ballerup over tid
| Dato | Alle jobs som data managere |
|---|---|
| 23. november 2024 | 3 |
| 22. november 2024 | 4 |
| 21. november 2024 | 3 |
| 20. november 2024 | 2 |
| 19. november 2024 | 2 |
| 18. november 2024 | 2 |
| 17. november 2024 | 2 |
| 16. november 2024 | 2 |
| 15. november 2024 | 2 |
| 14. november 2024 | 2 |
| 13. november 2024 | 2 |
| 12. november 2024 | 2 |
| 11. november 2024 | 2 |
| 10. november 2024 | 2 |
| 9. november 2024 | 2 |
| 8. november 2024 | 2 |
| 7. november 2024 | 3 |
| 6. november 2024 | 3 |
| 5. november 2024 | 3 |
| 4. november 2024 | 3 |
| 3. november 2024 | 3 |
| 2. november 2024 | 3 |
| 1. november 2024 | 3 |
| 31. oktober 2024 | 2 |
| 30. oktober 2024 | 2 |
| 29. oktober 2024 | 2 |
| 28. oktober 2024 | 2 |
| 27. oktober 2024 | 2 |
| 26. oktober 2024 | 2 |
| 25. oktober 2024 | 2 |
| 24. oktober 2024 | 3 |