PhD student Machine Learning

Stockholm, Sweden
Engineering
Klarna makes shopping smoooth. And we do it with flair because shopping is fun. Every day, we help customers, businesses, and partners explore just how smoooth the modern shopping experience can be. 

It means we’re constantly changing the game. Always trying out new things. And we encourage our people to do the same. To grow. To develop. Because we don’t believe roles have to stay fixed. Instead we inspire our people to take an irregular career path. As a company of 350 dynamic start-ups, our whole business is built for it. So once you’re in, there’s no telling what will happen next.

KTH Royal Institute of Technology in Stockholm has grown to become one of Europe's leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. It is Sweden's largest technical research and learning institution and home to students, researchers and faculty from around the world. The research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.

You will be working in the KlarnAI research team on the generic problem of automating web workflows. This problem is concerned with devising an intelligent agent that learns to complete complex tasks at previously unseen websites. The ultimate goal is to allow this agent to complete complex tasks on behalf of the user, such as booking a flight or making a dinner reservation. Research areas you will likely come into contact with include: reinforcement learning, graphical models, neural networks, time-series analysis etc. You will tackle these open problems using resources often unavailable in academia, such as data collection pipelines, substantial cloud computing power, help from experienced software engineers and researchers; while also having the support and supervision from KTH's Computational Science and Technology division. We are looking for driven and ambitious candidates who aim to publish in top-tier conferences such as NeurIPS, ICML, TheWebConf or SIGKDD. You should expect and be comfortable with high demands and have a positive, can-do attitude.

Requirements:
MSc degree in one of the quantitative sciences: Computer Science, Applied Statistics, Machine Learning, Physics, Mathematics etc.
Comfortable with mathematics, in particular probability, and programming in Python.
About Klarna

Klarna was founded in Stockholm, Sweden in 2005. Since then, we’ve changed the banking industry forever. And now we’re creating the world’s smooothest shopping experience. We serve 80 million consumers worldwide, and partner with 190,000 merchants – with a new merchant joining us every 8 minutes. Including some of the world’s leading brands, such as H&M, ASOS, IKEA, Adidas, Samsung and Lufthansa. Our offices are spread over 17 different markets, hosted by +2,500 people from 90 nationalities.