Job board

We at KTH AI Society strive to bridge the gap between our members and the industry. It’s quite simple, companies working for the solutions of tomorrow need the talent of today. So below we listed all relevant work opportunities for you to take on new challenges.

For more opportunities, visit our strategic partner, Stockholm AI.

If you want to make a job posting contact us at

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Head of Operations

🌍 KTH AI Society, Stockholm


Apply before 2022-05-31

The HoO will be responsible for strategy development as well as maintaining the finances of the society. New framework development for making organisation more process driven, organizing events and talks, and preparing yearly reports would be something crucial in this role.

For questions, please contact Anton by email or on Slack.

Head of Education

🌍 KTH AI Society, Stockholm


Apply before 2022-05-31

As Head of Education you will lead the education team to produce educational content and organize educational events at KTH. The education team manages and updates online content on our blog and youtube channel, organizes educational events and initiatives (e.g., hackathons), and collaborates with other organizations in Sweden.

For questions, please contact Nathan by email or on Slack.

Head of Business Relations

🌍 KTH AI Society, Stockholm


Apply before 2022-05-31

In the role as HoB you will have the opportunity to build and lead a team to organize sales and events. Leading change and transformation projects across the organization. You will also receive a key account responsibility together with the chair for its main sponsors. You will also be an integral part in KTHAIS strategy work together with the chair and board.

For questions, please contact Anton by email or on Slack.

Software Engineer - Fullstack

🌍 DepictAI, Stockholm; Hybrid

Full-time job

Apply before 2022-05-24

Depict is on a mission to challenge Amazon's domination of e-commerce. We connect customers and retailers over a shared love for great products, by making e-commerce product discovery a breeze from start to finish. We want retailers with the best products, not the largest budgets, to win. We use computer vision and natural language processing to truly understand the product and provide state-of-the-art product recommendations.

Master Thesis: Decentralized learning of synthetic vehicle sensor data generation

🌍 Scania, SödertĂ€lje

Master thesis

Apply before 2022-05-29


Scania is one of the world’s leading manufacturer of trucks and buses for heavy transports, as well as industrial and marine engines. Transport services and logistics services make up an increasing part of our business, which guarantees Scania’s customers cost-efficient transport solutions and high availability. Over a million Scania vehicles are in active use, in over 100 countries.


The goal of this project is to use deep learning methods to generate time-series data that are similar to on-board vehicle sensors (based on collected data) in a decentralized fashion (i.e. with federated learning). Federated learning is an uprising field where we no longer collect data from any entity to the cloud to train a model but instead train a model on many entities and send a trained model back to the cloud. However, there are use cases where having the data on the cloud is better, such as research and developing completely new functionalities. However, collecting data can be GDPR sensitive, as it might be connected to some personal information. AI-generated synthetic data has in recent years become a very popular way to increase data repository, but also a way to use the data for model development or testing functionalities as it is no longer person related. In particular, the field of GANs (generative adversarial networks) has gained huge traction when it comes to generating photos and videos, e.g. generating realistic photos of non-existing persons. Therefore we want to explore this area of decentralized learning of synthetic data generation, such as [1], [2], [3], where we would want to generate realistic time-series data without collecting real data.

The student will have access to Scania’s Hadoop cluster as computational resources to train and run their models.

Master Thesis: Neural Networks based Structure Learning for Time Series

🌍 Scania, SödertĂ€lje

Master thesis

Apply before 2022-06-15


Scania is one of the world’s leading manufacturer of trucks and buses for heavy transports, as well as industrial and marine engines. Transport services and logistics services make up an increasing part of our business, which guarantees Scania’s customers cost-efficient transport solutions and high availability. Over a million Scania vehicles are in active use, in over 100 countries.One basic assumption of multivariate time-series is inherent relationship between the individual variates. In order to exploit the underlying structure in for the purpose of systems modelling, anomaly detection and even in explain-ability of black box AI models, one must learn underlying structures. Therefore, in this thesis, we will build models for structural learning from time-series.


Structural learning is a field that has been of interest for many years [1]. Scania’s interest would be to learn these structural models from observed time-series data. The description of you task is as follows:

  • Build methods for evaluation of structural learning methods.
  • Build one (or two) baseline model(s) (e.g., Granger Causality, PC algorithm)
  • Design and develop neural network based structural learner.
  • Test the developed methods on different datasets.

Student will be provided access to the computing infrastructure and to the dataset required for the task.

Master Thesis Project

🌍 Backing Minds, Stockholm

Master thesis

Apply before 2022-05-31

We are BackingMinds. We are a Swedish early-stage venture capital company, supporting startup entrepreneurs with backgrounds outside the traditional networks, or founders in overlooked industries. We are driven by our belief that there are exceptional, but overlooked founders or ideas, and we aim to help grow great companies out of that. Today, our portfolio includes companies such as Transfer Galaxy, Dynamic Code and TrusTrace.

We are always looking for driven and talented people eager to work with us within the fast-paced area of startups and entrepreneurs. For the autumn 2022, we are looking for a master thesis student (or a thesis pair) to join our team.

Master Thesis: Comparing state of the art machine learning frameworks for sequence based recommendations

🌍 Babyshop Group, Stockholm

Master thesis

Apply before 2022-05-30

There are hundreds of thousands of users browsing the tens of thousands of articles in our assortment. With such an extensive assortment, finding relevant and inspiring articles becomes far from easy, and the need for recommender systems is high. In ecommerce, providing relevant recommendations is critical for an engaging and satisfactory user experience. Many different methods for creating personalized recommendations exist, e.g., collaborative filtering, content-based filtering and session-based filtering to name but a few. Within the latter, a subset focuses on what is referred to as sequence based recommendations, where the users’ historical behaviour on the site is used to generate recommendations that they would like to interact with in the future.

Multiple offers

đŸ–„ïž King, Remote


Apply before 2022-05-31

We are looking for passionate and creative Data Science, Data Analytics and Machine Learning Interns interested in pushing the boundaries of online games analytics to join our Kingdom! When we talk about data, we’re talking about more than a billion gameplays and 10 billion events. Every day.

You will be part of the community of 100+ data science & analytics experts at King, while working in smaller teams of 6- 8 people, including other data scientists & analytics, focused on particular games, our network or specific business areas. You will help us further understand, model, predict, segment and retain our players, and help take King’s data capabilities to the next level.

Master Thesis - Machine Learning for Gesture Synthesis

🌍 SEED EA, Stockholm

Master thesis

Apply before 2022-06-10

SEED is an innovation and applied research hub within EA Worldwide Studios. We bring together passionate team members to explore and build the future of interactive entertainment. Our work combines creativity with state-of-the-art technologies.

Research questions

Can one use Machine Learning (ML) to drive character body model based on the input speech audio and/or text? What level of control over expressing emotion (e.g. enthusiasm, sadness, happyness, etc.) or other personal trait is possible (stoistic, reserved, friendly, etc.) can we achieve? Is this better than the baseline of selecting between a set of predefined animations?

Data Scientist - Urgent Hiring

🌍 Einride, Gothenburg

Full-time job

Apply before 2022-05-19

Part commercial enterprise, part revolutionary movement, Einride is creating a zero-emission transportation system, based on autonomous, all-electric vehicles, coordinated by an intelligent routing software — making the journey from A to B as efficient as possible.

Forskningsmedel för doktorandtjÀnst inom tillÀmpad AI

🌍 LĂ€kemedelsverket, Hybrid; Uppsala


Apply before 2022-06-01

LĂ€kemedelsverket utlyser forskningsmedel för 50 procents finansiering av en doktorandtjĂ€nst pĂ„ heltid under fem Ă„r för tiden 2023–2028, inom omrĂ„det tillĂ€mpad AI med inriktning mot farmakovigilans.

TjÀnsten ska inrÀttas hos en svensk akademisk institution, eller flera i samarbete, med hög vetenskaplig och teknisk kompetens inom artificiell intelligens (AI), med sÀrskild inriktning mot natural language processing (NLP) och statistisk maskininlÀrning.

Forskningen förvÀntas omfatta NLP för analys, klustring och kategorisering av regulatorisk och hÀlso- och sjukvÄrdsrelaterad text pÄ bÄde svenska och engelska, samt statistisk maskininlÀrning med bÄde transparenta modeller och djupa neurala nÀtverk.

Projekten kommer att vara knutna till LÀkemedelsverkets arbete med tillÀmpad AI inom omrÄdet farmakovigilans (lÀkemedelssÀkerhet). De förvÀntas till Ätminstone 50 procent att bedrivas i LÀkemedelsverkets lokaler och skyddade datamiljöer. Bihandledarskap med farmakoepidemiologisk och regulatorisk expertis, arbetsplats, datorutrustning, tekniskt stöd och tillgÄng till data erbjuds.

Den vetenskapliga fördjupningen kan delvis vara tvÀrvetenskaplig mot tillÀmpningsomrÄdet hÀlsa/lÀkemedel och bör vara relevant för LÀkemedelsverkets regulatoriska ansvarsomrÄden som statlig myndighet.

Data Scientist

🌍 IBM, Stockholm

Full-time job


Data Scientists / Engineers are part of a cross-functional team that delivers a unique client co-creation experience to accelerate client transformation ‱ Acts as a key contributor to a pre-sales Client Engineering team, partnering with clients to understand business problems and propose solutions ‱ Contributes to co-creation of rapid proofs of concept and Minimal Viable Solutions that demonstrate business value, leading to client investment in strategic solutions ‱ Translates business problems into leading-edge analytics solutions using consulting skills, industry expertise and technical knowledge ‱ Delivers meaningful insights and predicts emerging trends to inform business solutions that optimize client value ‱ Familiar with Data Engineering techniques to gather, prepare, cleanse, and transform client data for analysis and AI automation

Machine Learning Research Engineer - 3D Vision

🌍 Apple, Stockholm or Göteborg

Full-time job

The 3D Vision team at Apple Maps is looking for extraordinary talent to join our team of computer vision and machine learning experts. With us, you will be working on cutting-edge technology as well as researching and developing new machine learning algorithms for processing and making sense of vast volumes of sensor data!

Data science och AI

🌍 SĂ€kerhetspolisen, Stockholm

Full-time job

Har du erfarenhet av data science-tekniker som AI och djupinlÀrning? Brinner du för att skapa förutsÀttningar som kan berika? Vi söker nu nya kollegor, bland annat Data & ML engineers, backend och frontend engineers, data scientists och operativa dataanalytiker som vill vara en del i vÄrt team inom data science-omrÄdet!

Multiple job openings

🌍 Sana Labs, Stockholm

Full-time job

At Sana, we believe that learning is the foundation for human progress. Our goal is to drastically improve how people learn, across every industry, and across the globe. We take insights from learning science and apply them through artificial intelligence to create the world's best learning platform.

We rely on curious minds, big hearts, and brave souls to change the way the world learns forever. Think you’d be a great fit? We want to hear from you. Currently hiring across the stack.

Multiple Job Openings

đŸ–„ïž Spotify, Remote

Full-time job

We hire people who are good at what they do. But just as important, are a good match for us.

Data Scientists och Data Engineers

🌍 Echo State, Stockholm

Full-time job

Vill du jobba med den mest spÀnnande tekniken pÄ ett av Sveriges snabbast vÀxande AI-bolag, för att tillsammans med kollegor i stÀndig utveckling förÀndra företag och affÀrer i grunden? VÀlkommen till Echo State.

Data Scientist - Advanced Analytics

🌍 PWC, Stockholm Göteborg Malmö

Full-time job

Working as a Data Scientist in our Data & Analytics Consulting practice, will provide you with the opportunity to help clients seize essential advantages by working alongside business leaders to solve their toughest problems and capture their greatest opportunities. We work with some of the world’s largest and most complex companies to understand their unique business issues and opportunities in an ever changing environment. We help create sustainable change by stimulating innovation, unlocking data possibilities, navigating risk and regulatory complexity, optimising deals, and aligning costs with business strategy to create a competitive advantage.

Data Scientists - Experience

🌍 Spotify, Stockholm

Full-time job

Delivering the best Spotify experience possible. To as many people as possible. In as many moments as possible. That’s what the Experience team is all about. We use our deep understanding of consumer expectations to enrich the lives of millions of our users all over the world, bringing the music and audio they love to the devices, apps and platforms they use every day. Know what our users want? Join us and help Spotify give it to them.

Summer research paid internship program

🌍 RISS, Pittsburgh, PA, USA


The applications for RISS (summer research paid internship) program at Carnegie Mellon University (Pittsburgh, PA, USA) has launched!

Powering E-Commerce with ML & AI

🌍 Asket, Stockholm

Master thesis

ASKET is a direct-to-consumer clothing brand on a mission to slow down fashion and end over-consumption by creating garments free of compromise, allowing more people to live with fewer but better items. Aside from creating zero compromise garments, a huge part in the success of a modern e-commerce based retailer is to consolidate, manage and act on the data that is being collected from multiple touchpoints.

ASKET has a modern data infrastructure built in order to support automation and data-driven decisions which in short consists of a cloud computing-based data warehouse (DWH) and a customer data platform (CDP). This infrastructure yields datasets which comprise web-interactions, cart creations, transactions and size-related data.

Given these datasets we are now looking to explore how ML can further be used in order to provide best of breed e-commerce. As an example, during last year we developed and launched our proprietary ML-based (SVM) Size Finder with the ambition to increase customer trust and reduce costly and emission driving returns and exchanges. During spring 2022 we are looking for 1-2 students who are looking to explore the latest ML algorithms using highly real and applicable data as their thesis project. Some (not exclusively) of the fields that are of interest are...

  • Customer Loyalty, Retention Modeling & Churn Prevention.
  • Purchase Propensity Modeling.
  • Recommendation Engines.
  • Size Finder 2.0 - Size Recommendation Algorithm.
  • Demand forecasting, production planning & stock optimization.

Applications are open until November 30th and interviews will be held continuously. Send CV along with some words about what area you think sounds interesting to and we'll meet for some coffee and a chat at our HQ at Odenplan.


🌍 Krona, Stockholm

Full-time job

Hi future entrepreneur, We are Akanshu, Shounak and Parath- two Robotics Enthusiasts and an experienced Solution Architect, and we are developing an app for the millennials to take the first step to financial freedom. We are now looking for a finance person to join us in our journey.

Skills and requirements
  • Motivation and ambition to create a successful fintech business.
  • Experience in fintech business development.
  • Have an understanding of the Swedish/ European finance market.
Good to have
  • Negotiating and drafting license agreements, partnerships, and other relevant contracts.
  • Familiarity with working in a startup environment.

At Krona we believe in diversity and therefore welcome all applicants regardless of gender, background, or beliefs.

The intention is that you will become a core team member of the company. We're offering a fantastic chance to enter an early-stage startup on the way to an exciting market. We're looking for a like-minded team member who will share our passion and help us succeed with Krona. Would you like to join us on this journey?

Paid master's theses & developer positions

🌍 Tendmill, Stockholm

Full-time job

Do you want to help digitize the public procurement industry with cutting-edge technology?

During spring 2022 we will host the following paid master's theses.

  • Cluster/vectorize food articles based on their name, ingredients, and market message.
  • Classify public procurement requirements. For example: "Free from gluten" is the same requirement as "gluten-free".

We also have open positions for software developers, who want to join our small team of skilled engineers.

SpÀnnande uppdrag inom AI och klimatdata

🌍 SMHI, Stockholm


SMHI har mÀngder med observationer i pappersformat frÄn tiden före 1961. Dessa data bidrar till det viktiga arbetet med att beskriva vÄrt historiska klimat för att Ànnu bÀttre förstÄ klimatförÀndringarnas omfattning. Dessa data behöver nu digitaliseras, men att göra detta manuellt skulle krÀva Ätskilliga Är av arbete.

För detta uppdrag söker vi nu 2 – 4 studenter, som lĂ€ser teknik, naturvetenskap eller IT och har erfarenhet av programmering och AI-tillĂ€mpningar.

För uppdraget krÀvs att du har mycket goda datorkunskaper och att du kan jobba i team. Du Àr sjÀlvgÄende och strukturerad och tar ansvar för uppgiften. Du Àr tydlig i din kommunikation och sÀger till i god tid nÀr problem uppstÄr eller hjÀlp eller beslut behövs. Du har goda kunskaper i engelska och som lÀgst grundlÀggande kunskaper i svenska. Kunskap om vÀder och klimat Àr meriterande.

Uppdraget kommer att pĂ„gĂ„ under hösten 2021 och omfattar 60 – 150 timmar.

Uppdraget innebÀr att pröva ut möjligheten att automatiskt digitalisera observationsdata med hjÀlp av AI. Vi tÀnkte testa tvÄ olika programpaket, en kommersiell molnlösning och ett open-source-system. Arbetet ska leverera arbetsflöden och analys av prestanda för bÄda paketen. SMHI har redan tagit fram trÀningsdata i form av scannade journaler och digitaliserade data. Blir arbetet framgÄngsrikt fortsÀtter vi med metoden för att digitalisera delar av eller samtliga data.

En förutsÀttning för uppdraget Àr att du har tillgÄng till egen dator.

Är du intresserad? VĂ€lkommen med din ansökan senast 7 november. Vi ser fram emot en beskrivning av vem du Ă€r, din bakgrund och kompetens.

För mer information kontakta gÀrna Heiner Körnich pÄ tel. 011-495 80 00.

Data Science Intern

đŸ–„ïž UNDP, Remote


UNDP IICPSD is looking for the Data Science Interns to join the SDG AI Lab , which aims to harness the potential of frontier digital technologies such as Artificial Intelligence, Machine Learning and GIS for sustainable development. The Data Science Interns will support SDG AI Lab team with the implementation of digital solutions for sustainable development and SDGs.