Job ID: 263854

Publicatiedatum: 28/10/2024

Who you are

Data & Machine Learning – Master Thesis – AI for image analysis and object detection

IKEA is looking for the Digital stars of tomorrow!

You can apply either individually or as a pair – just state the name of your co-applicant in the application!

Do you want to kick-start your career and join our Thesis Programme at INGKA Group Digital? Then please apply if you are:
• Excited about new technology, and innovative ways of working and want to be part of shaping the future of IKEA!
• You are curious and see failure as a way of learning
• Interested in Machine Learning and Data
• Great at communicating in written and spoken English
• Ready to make the world a little better, together?

Our Values
The IKEA culture and values are very much a part of our business and day-to-day work life. For a future within Ikea, it is important for us that you share our values! You can read more regarding those and life at IKEA on our website https://about.ikea.com/en/about-us/ikea-culture-and-values. Our corporate language is English. You will be a part of a great culture as well as our vision “to create a better everyday life for the many people” – for customers and co-workers. You will work and appreciate working in a true people and planet-positive work environment.

What you'll be doing day to day

Data & ML is the family of data practitioners at IKEA, including data scientists, data analysts, data engineers and ML engineers, who are passionate about making sense out of data, to turn it into actionable insights, and to make automated data-driven decisions. You will be working with people from Data & ML as well as people from the content recommendation team who will be keen to follow you on your journey. The aim of the thesis is to use AI techniques for computer vision to create an automated pipeline for image analysis, segmentation and detection of home-furnishing objects, in a large-scale dataset of images.

We think you are a student in Data Science, Computer Science, Engineering, Physics, Mathematics etc. with a good understanding of machine learning and deep learning, and with good programming skills in Python, ideally also with experience from ML-packages such as PyTorch and the Huggingface ecosystem.

Questions and support? Let's connect!

To take part in the Thesis work, you must be enrolled in a thesis course provided at the university level/Thesis agreement with a university in Sweden. Preferably live in the Skåne area or with the possibility to commute.

Please send in your CV and motivational letter in English as soon as possible but no later than 18th of November. We will meet students continually so please don't wait with your application.

Duration: Spring 2025. Start mid-January

If you have any questions about the recruitment process, please reach out to Linn.Hallberg@ingka.ikea.com. Due to GDPR we only accept applications through our recruitment system.

We look forward to getting to know you!