Machine Learning Scientist

FOSS Analytical A/S is looking for a talented and highly skilled machine learning scientist with a strong background in deep learning to develop 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 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 the data chain. You will work in close collaboration with our hardware and software teams as well as marketing organization in taking the data chain from concept to deployment and sales release. In this task, you will be responsible for:

  • Define the data needs for training machine learning models capable of fulfilling performance targets.
  • Develop algorithms and data pipelines.
  • Design experiments to test the data 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 Ph.D. degree in computer science or engineering or similar education, and have:

  • Extensive hands-on experience using deep learning frameworks like TensorFlow and PyTorch.
  • Proficient in data science methodologies, including experimental design, statistical analysis, and hypothesis testing, using tools such as Python, Pandas, NumPy, and SciPy.
  • Experience in machine learning development best-practices and MLOps workflows.
  • Good understanding of image processing, with practical use of libraries such as OpenCV.
  • Familiar with optimizing deep learning models for efficient deployment on edge devices and resource constrained environments is a plus.
  • Previous industry experience in applied machine learning projects is considered an advantage.

We expect you to have an interest in:

  • the full data chain of analytical instruments.
  • 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’re curious about 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. Foss is small enough for you to get high influence in the job, and big enough for complex development and 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 strives at delivering cutting-edge creative algorithmic solutions. We are open-minded to new ideas and have an informal and humorous tone.

Application

Send us your application via the link below. We screen applications as they come in, but due to summer vacation in Denmark, the hiring process will start in week 31! Any questions can be directed to head of machine learning Erik Schou Dreier esd@foss.dk (please note there may be a slight delay in response due to vacation).

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.

Ansættelsestype: Permanent

Hjemmearbejde: Not disclosed

Ugentlig arbejdstid: Full-time

How to apply

Our goal is to make the recruitment process as professional and positive as possible. The recruitment process starts when you’ve submitted your application online. Vacant positions at FOSS do not always have an application deadline, so please apply today rather than tomorrow. The reason for this is that we want to ensure a fast and efficient process, which means that we review applications on an ongoing basis. Candidates who are invited for interviews will receive an invitation per email.

Apply

Sustainability is an integral part of our business

At FOSS, we have a taken a holistic approach to Sustainability. It’s not only about conducting our business in a responsible and ethical manner. It’s also about developing solutions that make a difference in the world. We help our customers tackle difficult global challenges such as efficiency in food production, consistency in quality and food safety.

We are operating in a world with significant population growth, scarce resources, food safety scandals and growing concerns about the climate. As the leading business-to-business provider of dedicated analytical technology, we play a key role in this environment.

For example, our technology is increasingly important in expanding food supply by making rational use of increasingly limited resources, while ensuring the best quality food reaches the consumer. To address this challenge there is a need for the development of solutions that analyze and make data manageable and actionable throughout the production process. Information management of analytics will be the future of the food and feed industry, enabling producers to increase yields by being more efficient. Intelligent and automated processes that run on data will define our customers’ future production - and much of the 10% of our turnover we annually invest in research and development will be dedicated to this area.

Working at FOSS

We work on a global scale to develop the people working at FOSS. We strive to enhance job satisfaction and motivation by constantly improving the competencies of our managers as well as following up on employee satisfaction.

We know our employees are our strongest asset.

Therefore, we emphasise, invest in and appraise our employees’ knowledge, skills and attitudes, and take pride in creating an environment with trust, confidence and development. We also believe that clearly defined objectives enable people to achieve their performance potential and that the support from the immediate superior is essential. Most important of all; trained, well-motivated and competent employees are a perquisite for success in the future. We manage by values, but also clear objectives, and follow up through regular meetings between the employee and the manager. In these meetings, there is also room to discuss career aspirations and other development opportunities including internal career moves.

You will have the opportunity for internal career development.

As a company, we are small enough for you to get high influence in the job, but we are also big enough for complex development and global careers. If you want to move in a new direction and continue to develop along with your professional capable colleagues, we offer the opportunity for internal career moves inside FOSS. As we are a knowledge-heavy company, this is a win-win scenario for both FOSS and our employees.

Work with creative and professionally strong colleagues.

Teamwork is essential to FOSS. By developing solutions in cross-functional teams, we integrate knowledge, experience and competences from many perspectives to achieve great results. We communicate in a straight-forward manner and solve challenges together. In FOSS, we truly value that you voice your opinion, take responsibility and ownership. Our company size in turn allows for independent, dynamic and fast decisions.

If you join FOSS, we promise you that you will enter an environment with new learnings through projects, new technologies and market opportunities. We love to be entrepreneurial and open-minded to new ideas, and if you get a good idea – you can bring it forward.

Join a company with a clear business idea and purpose, but also strong values.

In a global world with a growing population, there is an ever-increasing demand for safer food, production that is more efficient and less food waste. Globally, we need to produce as much food the next 40 years as the last 8,000 years to meet the needs of a growing population and declining natural resources. A huge challenge, which requires that we become better at utilizing the resources available.

The business vision of FOSS to contribute to a more sustainable use of increasingly valuable agricultural resources, and to the nutrition and health of the people of the world. We provide the industry’s best analytics, which add value to our customers by improving quality and optimising food and agricultural production.

Join FOSS, and you will be part of this mission, more relevant today than ever. 

Meet our employees

Meet Jan – manager of Concept Development in Research & Development

Jan’s daily work as a manager in Concept Development consists of generating new ideas in collaboration with his team and deciding which ideas should be developed. The daily challenge of finding the right solutions to address the needs of our customers is solved by a diverse and competent group of specialists working together.



Meet Mariana – Chemometrician in Research & Development

Mariana is a Spanish Chemometrician specialised in NIR. Coming from a research background her move to FOSS was motivated by a desire to work with real products and real customers. AT FOSS she is involved in the innovation of new products, developing calibrations for the EyeFoss image analysis grain analyser.

About FOSS

FOSS creates end-to-end solutions that secure and improve food quality. From raw material to finished product. Our analysis instruments refine measurements into information management that enables businesses to run intelligent data-driven productions with less waste and bigger yields. Controlling cost and quality across all sectors and value chains, we help food and agricultural producers limit the number of human errors, scale their business faster and reduce manual labour as well as labour costs. We call it analytics beyond measure.

Over the last 60 years, we have made it our business to define the standard of analytical solutions for the food and agricultural industry. We pioneered advanced analysis for the challenging production environments in the 1960’s, and we were the first to integrate chemical composition analysis in process lines. Now our resolve and ambition have also made us the international benchmark in the field of chemometrics and real time analytics.

FOSS is a 100% family-owned company and the leading supplier of innovative analytical solutions; 98 percent of FOSS’ business is generated outside Denmark. FOSS has more than 100 patents and more than 20 world-first product introductions. FOSS employs more than 1700 dedicated people worldwide and has manufacturing, research and development facilities in Denmark and China. Solutions are sold and supported through FOSS sales and service companies in 28 countries and by more than 75 distributors. Many employees have a top-level scientific or technical background, including more than 130 Master of Science and more than 20 PhDs in areas such as photonics, chemometrics, physical chemistry, analytical chemistry, fermentation and bio-engineering, astrophysics, optical communication, physics, quality, nanotechnology, food science and adaptive radiotherapy. We also employ many factory-trained and certified support engineers stationed close to our customers.

FOSS

Foss Allé 1

DK-3400 Hilleroed

Denmark

Phone: +45 70 10 33 70

E-mail: info@foss.dk