Vacancies at FOSS

At FOSS, we are driven by a strong sense of purpose, and we hope you are too. A fast-growing world population means that the global food production will have to increase by 60% by 2050 to meet demand. In FOSS, we want to come up with smarter ways to make the best use of agricultural resources by being in the frontline of innovation. If that sounds like something you would like to get out of bed for every Monday morning, then read on.

Join our R&D department

We are looking for an ambitious and talented data scientist/engineer to drive the development of our future imaging solutions for food analysis using deep learning and artificial intelligence (AI).

Your responsibility will be to develop and implement deep learning pipelines for training convolutional neural network models and assist in taking these pipelines from the lab environment and desktop computers to full-scale production with cloud infrastructure.

The responsibility includes the technical overview of the deep learning pipeline and its relation to the full solution. You will be a central team member in developing computer vision and deep learning systems at FOSS and succeed by obtaining detailed knowledge of the path from measurement to finished result. Your tasks will span experimental work as well as designing, coding, and testing deep learning pipelines. This is in close collaboration with hardware scientists, mechanical and electrical engineers, software development and other departments outside R&D. Key to succeeding is the ability to plan, coordinate and communicate results to the project members and stakeholders.

You will be part of the Spectroscopy team in the Technology department of R&D. The team is responsible for innovation, development, and support of the measuring systems of FOSS’ product based on either FT-IR, NIR, X-ray and computer vision technology.  

Together, the teams in Technology hold a high level of experience and competence within optics, physics, electronics, biochemistry, microbiology, and computer vision. We strive to deliver solutions performing to the edge the technology with world leading relation between performance, cost, footprint, and reliability.

About you

You have a M.Sc. degree in computer science, data science, or similar. You have studied and/or worked with computer vision and deep learning pipelines, and preferably experience with a number of the following topics:

• Data analysis in Python or similar
• Machine learning frameworks like PyTorch or Tensorflow
• Image analysis
• Machine Learning Operations (MLOps)
• Cloud computing
• Edge computing

People describe you as structured, innovative, and self-driven, yet you value a strong team and the effort to share knowledge. Your record of accomplishment shows an ability to understand complex systems and to work systematically with troubleshooting incl. designing and performing experiments. Further, you have a curious mind and thrive on challenges. If you recognize yourself in the above description, we look forward to hearing from you!

We offer

We offer a challenging 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. You will be a member of a team where we respect one another, work closely together and apply each other´s competences in the daily work. We make room for personal improvements and continuously strive at optimizing our work processes.

Ready to join us?

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 Jacob Riis Folkenberg,
vice president Technology (+45 48208512 or jrf@foss.dk) or Erik Schou Dreier, senior scientist - computer vision (+45 40638708 or esd@foss.dk).

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

FOSS contributes to the sustainable use of our planet’s agricultural resources and thus to the nutrition and health of the people of the world. We make it our business to build analytical solutions, which add value by improving food quality and optimizing production, from raw material to finished product. FOSS helps optimize the use of food and agricultural resources by enabling customers to run intelligent data-driven productions with less waste, better quality, bigger yields, and more optimal use of raw materials. Always at the forefront of analytical technology development, FOSS provides a range of analytical solutions from laboratory to at-line and in-line solutions, across industries from dairy to grain and meat. FOSS provides instruments and solutions to the world’s 100 largest food companies and for more than 60 years, FOSS has been innovating analytical technology. FOSS was founded by Nils Foss in Hillerød in 1956. We are a family-owned, global company and our products and services are sold all around the world. FOSS employs approximately 1,700 highly qualified people worldwide.