Do you want to do your MSc-thesis with H&M‘s AI Research and Exploration team investigating graph convolutional networks using large volumes of industry data with the potential of impacting millions of customers worldwide?
If the answer is yes, you have the possibility to work with our AI-research experts in close collaboration with data scientists and machine learning engineers in related use cases. This will give you valuable insights into how machine learning works at scale inside one of the biggest fashion retail companies in the world!
What do we want to solve?
We are researching and building a general framework for a numerical representation of our clothing items based on image features, text and contextual information mining both transactional and outfit data.
How do we approach research?
In our research environment we actively strive to create an open, friendly and respectful work environment where researchers are encouraged to express freely their ideas. We believe "the stupid question" is often the best question! At the same time we are business value driven and prioritize our projects to bring the most long-term value to H&M.
Where do we work?
We aim to work on premise in Stockholm but this is subject to the guidelines of the Public Health Agency of Sweden for Covid-19.
What is Business Tech?
The AI Research and Exploration team is a part of a larger organization called Business Tech where we work in multiple areas of the tech field. From AI, data and business development to engineering and testing. At Business Tech you will be part of turning business challenges into innovative tech solutions – making H&M Group a global leader in combining tech, fashion and design. Being a major player gives us countless opportunities to make a real impact and shape the future.
Who are we looking for?
A successful candidate:
- is studying machine learning, mathematics, computer science, software engineering or similar
- has experience building machine learning models in Python using PyTorch or TensorFlow
- has experience working with data intensive computing, through coursework or other work
- is a self-driven team player and happy to swim in the deep end
- is creative and collaborative
- is fluent in English
It is a bonus if the candidate:
- has previous working experience
- has experience with graph-based neural networks
- has code on Github or similar
Are you interested?
Send us your personal letter telling us who you are and why you are the right candidate for this thesis project. Also, send us your cv and transcript of your courses and grades. Please apply as soon as possible, no later than 31 October. If you have any questions about the project, please contact Stefan Gudmundsson at email@example.com.
We are looking forward to your application!
Psst! – our (not so) hidden agenda is to hire successful candidates after they finish their thesis.
We are on an exciting journey to meet and exceed our customers' expectations today, tomorrow and in the future. Rapid technological development and new customer behaviours are transforming the fashion retail industry. To cater the individual needs and desires of our millions of customers, Business Tech delivers technological solutions for the entire value chain for all our brands.