FOSS R&D




Data Scientist – Machine Learning and Computer Vision


FOSS Analytical A/S is looking for a talented and highly skilled data scientist with a strong background in machine learning and deep learning methods to drive the development our future imaging and spectroscopic solutions for food analysis.
This is an exciting opportunity, as you will have significant influence on FOSS’ future innovation opportunities. In a global world with a growing population, there is an ever-increasing demand for safer food and less food waste. Our solutions provide accurate measurements and analytics insights to optimize food production from raw materials to finished products, and ultimately a better global usage of limited resources.


Primary tasks
Your main responsibility will be to develop and evaluate new machine learning algorithms for our analytical instruments based on imaging and spectroscopy. You will work in a dedicated project team and be responsible for all steps of the data analysis. You will work in close collaboration with our software algorithm team, hardware team and marketing organization in taking the data analysis chain from concept to deployment and sales release.

Your responsibilities will be to:

  • Define the data needs for training machine learning models capable of fulfilling performance targets.
  • Develop the algorithms and data pipelines.
  • Design experiments to test the data analysis chain.
  • Assist in understanding and translating customer requirements to performance targets.
  • Contribute to improving the way we work with data and algorithms.

Your daily work will be at the FOSS Innovation Center in Hillerød, Denmark.


About you
You hold an M.Sc. or preferably a Ph.D. degree in computer science or engineering or similar education, and have:

  • Expertise in using Python and libraries such as pandas and NumPy
  • Strong experience in training of machine learning models using deep learning frameworks such as TensorFlow and PyTorch
  • Knowledge on best practices for ML development
  • Understanding of image analysis and computer vision libraries such as OpenCV
  • Experience with development pipelines in cloud services such as Azure, AWS, or tools such as MLflow or are willing to learn
  • Understanding on how to optimize deep learning models for deployment on edge devices is a plus

 We expect you to have an interest in:

  • The data analysis chain of analytical instrument
  • Exploration of data in problem solving
  • Developing real-life food/agri applications to benefit FOSS customers
  • Staying up to date with the latest development with AI/ML domain

As a person you are structured and self-driven when part of a strong team. You are curious on new problems and thrive on solving difficult tasks. Your record of accomplishments shows an ability to understand complex systems and to work systematically with troubleshooting incl. designing and performing experiments. Further, you are open minded and want to succeed as a team and help your colleagues. If you recognize yourself in the above description, we look forward to hearing from you.


We offer
We offer a motivating job in an international, dynamic, and innovative organization. We are market leaders within our field and very proud of the results we deliver. Innovation is the foundation for FOSS´ success and we therefore have a strong focus on R&D and work closely together with universities. FOSS is small enough for you to get high influence in the job, and big enough for career development.

The daily work takes place in an innovative and cross-disciplinary environment offering exciting tasks and the possibility to learn new things every day. You will be part of the Machine Learning & Chemometrics team in R&D, which is responsible for algorithmic innovation and development of FOSS’ solutions. As a team, we hold a high level of experience within data analysis, machine learning, chemometrics, and application knowledge, and strive at delivering cutting-edge creative and robust algorithmic solutions. We are open-minded to new ideas and have an informal tone.


Application
Send us your application via the link below. We screen applications as they come in, so apply now - better today than tomorrow! Any questions can be directed to Senior Scientist Erik Schou Dreier (+45 4063 8708 or esd@foss.dk) or Director Lars Nørgaard (+45 2761 6958 or lno@foss.dk).

All applications for vacant positions will be welcomed and will be considered on the relative merits of the applicant against the role profile for the position regardless of nationality, ethnicity, sex, gender, sexual orientation, marital status, disability, parental responsibilities, age, religion, or belief. FOSS is committed to maintaining an inclusive culture and a diverse workforce. You can help us sustain an unbiased recruitment process by not including photo or age in your application.


FOSS
Today, more than 8 billion people around the world are dependent on nutritional food. Tons of food being produced in a million different ways and under varying conditions, creating challenges all the way from field to fork. One of them, obviously, being the effects it has on climate change. 
FOSS helps the world’s 100 biggest food companies and more than 40,000 others around the world navigate exactly that with intelligent, data-driven and innovative analytical solutions. We are making sustainability a better business and we’re doing so as global market leader in our field – improving food quality, minimizing food waste, ensuring food safety, and securing fair payment.

Join a pioneering and innovative company in the food and agriculture industry. A company on a mission, with offices all around the world and 1,700 talented colleagues from more than 32 different countries.

 

Send application ]   [ Print ]   [ Send to a friend ]
Region:
Region Hovedstaden

Job type:
Permanent

Working hours:
Full-time

Working days:
Day

Location:
3400, Hillerød



Contacts:
Lars Nørgaard
Mobile: +45 27 61 69 58

Company homepage:
http://www.foss.dk