Summer Trainee, Computer vision trainee, Decision Support and Advanced Analytics

During the summer you will gain valuable work experience to support your studies. We offer versatile tasks in an international company that is committed to sustainable development. We are frontrunners in developing renewable alternatives to fossil-based materials. Join us to renew the everyday, for a future beyond fossils! 

We are now looking for Computer vision trainee, Decision Support and Analytics for a fixed-term contract to our head office in Helsinki, the Biofore House.

Greetings from your future manager

“This is a chance to work on computer vision solutions that run in real production environments, all the while getting hands-on experience from model development all the way to deployment at mills!” - Jani Strandberg, head of Decision Support and Advanced Analytics

What you will do

You will work on industrial computer vision systems that combine machine learning research with real-world manufacturing use. Depending on your background and interests, you will contribute to projects such as real-time wood chip quality monitoring and classification systems. 

Your work may include task such as:

• Designing and implementing production-ready computer vision solutions (e.g. YOLO, SAM2) for 24/7 industrial environments 
• Working with industrial camera pipelines (e.g. Allied Vision), including robust image capture and ROI selection 
• Training and fine-tuning detection and segmentation models for material quality and particle analysis 
• Preparing and managing datasets from production systems, including labeling workflows and annotation conversion (e.g. YOLO formats) 
• Optimizing inference performance for reliable CPU and GPU deployment 
• Integrating ML outputs into industrial automation systems via Modbus TCP/IP (e.g. Siemens LOGO! PLCs), OPC-UA, and REST APIs 
• Implementing real-time decision logic that links model predictions to production constraints and actions 
• Developing web-based visualizations, reports, and operator tools to present model results, production metrics, and analytics in a clear and actionable way (Flask, JavaScript) 

Who you are

You are a Master's level student (or equivalent) with a relevant background in Machine Learning and AI, Computer Science, Data Science, or Industrial Engineering. 

You do not need to have experience in all areas listed below. We expect candidates to bring different strengths, and we will tailor your tasks accordingly. Experience or coursework in one or more of the following is considered a strong advantage: 

• Python development (NumPy, OpenCV, PyTorch, Flask) 
• Computer Vision fundamentals (detection, segmentation, YOLO, SAM) 
• Cloud ML platforms (Azure ML especially) 
• GPU computing for training and optimization 
• Industrial automation (PLC communication, Modbus, OPC-UA, industrial cameras) 
• Web development (REST APIs, dashboards, data visualization) 

We will onboard you to your tasks, as well as the rules and ways of working in our workplace. From your first day, you are a full member of our working community, and we encourage you to be active, learn, and ask questions about your work.

This is what we offer to you

• Safety and well-being: We prioritize the safety of all our employees, ensuring everyone returns home safely. We care about each other and the well-being of our colleagues. Our community is built on great team spirit and shared commitment.
• A meaningful job: We have an inspiring purpose “We renew the everyday for a future beyond fossils”. We do our work with professional pride, producing high-quality, sustainable products for our customers globally.
• Development opportunities: We are an international, multi-business organization offering plenty of avenues for personal growth.
• Responsible employer: Sustainability is at the core of everything we do. We are committed to ambitious, science-based sustainability targets in all areas from climate change to biodiversity. We foster diversity and inclusivity, offering a work environment in which everyone can be themselves.

Are you ready?

For further information, please contact Pouya Aghaei Pour, Senior Data Scientist, at [email protected].

Our recruitment application period ends March 1, 2026. Attachments (CV and Cover letter) will be added simultaneously on our application template.

Notice that you cannot modify your application after submitting by yourself. Submit your application as soon as possible, positions might be filled already before the application period ends.

For support with your application please contact the HR Service Center at [email protected].

A security background check may be performed for those selected to UPM positions, in accordance with the company recruitment guidelines and the Security Clearance Act 726/2014.

UPM is a material solutions company, renewing products and entire value chains with an extensive portfolio of renewable fibres, advanced materials, decarbonization solutions, and communication papers. Our performance in sustainability has been recognized by third parties, including EcoVadis and the Dow Jones Sustainability Indices. We operate globally and employ approximately 15,800 people worldwide, with annual sales of approximately €10.3 billion. Our shares are listed on Nasdaq Helsinki Ltd. 

UPM – we renew the everyday 
Read more: upm.com 

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