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.

Do you want to do your MSc-thesis with H&M AI foundation team that is designing and implementing next generation AI platforms that impacts hundreds of millions of customers worldwide? 

If the answer is yes, you have the possibility to work with our AI platform 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! 

You will also have the opportunity to work on cutting edge tech stack that includes open source technologies, e.g., Python, PySpark, Apache Airflow, Docker, etc., as well as Microsoft Azure services, e.g., Kubernetes, Databricks, and Datalake, etc.

What do we want to solve?

At H&M, we run thousands of cloud-native machine learning jobs. Each job is designed as a graph of tasks that perform machine learning activities, e.g., feature engineering, model training, hyper-parameter tuning, etc. The amount of CPU and memory needed to run each task vary based on scenarios that represent combinations of locations, time durations, and garment groups or customer segments. In this thesis, you will design and implement a scheduler for machine learning jobs that dynamically allocates computation resource like CPU and memory to tasks according to their scenario profile. 

What is our ways of working?

We actively strive to create an open, friendly, and respectful work environment where we encourage everyone to express their ideas freely. We believe "the stupid question" is often the best question! At the same time, we are business-value driven and prioritize our directions 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 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 great problem solver who:

- is studying computer science, software engineering, or similar
- has experience in Python and cloud technologies
- has experience in data intensive computing and/or machine learning at least through coursework
- 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 in Python programming

• has experience with Docker, Kubernetes, and Apache Airflow

• 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 23rd of November. If you have any questions about the project, please contact Misbah Uddin at [email protected].

We are looking forward to your application!

Psst! – our (not so) hidden agenda is to hire successful candidates after they finish their thesis.