Vacant job

As a Machine Learning Engineer at tt2, you will be a key player in shaping the future of indoor navigation through groundbreaking technology. We are looking for a passionate individual with strong knowledge in machine learning and statistical modeling. This role offers an stimulating environment where theoretical discussions and "trial and error" methods are part of everyday life, giving you the opportunity to continuously explore and improve methods for indoor positioning. Here, you will become part of a dynamic team where you have influence in all stages of the development process, from initial concepts to finished models. If you are ready for an exciting challenge, we welcome your application!

About the Role

tt2 AB has developed a groundbreaking solution for positioning in environments where GNSS/GPS signals are not reliable or are subject to interference (e.g., indoors, underground, or in electronic warfare scenarios). The system is software-based and designed to run on commercial hardware, such as smartphones. Our product is a so-called "dual use" technology used in both the civilian market and the defense sector. The role means you will become a key person in our small development team, where everyone contributes directly to the technology and the company's progress.

What We Offer

• A place in a growing startup where you become part of a competent and engaged team
• The opportunity to be part of an exciting development journey where creativity and ideas are encouraged
• Tasks ranging from conceptualization to implementation of the positioning system

Responsibilities

• Develop the positioning system from concept to finished model
• Work actively with positioning and create physical/mathematical/ML models from scratch, then implement and test them
• Continuously test and evaluate methods to improve the IPS (Indoor Positioning System)

We are looking for you who

• Have a Master of Science degree in Engineering Physics or Engineering Mathematics with a focus on machine learning or related areas
• Have good skills in Python and PyTorch as well as experience in developing mathematical models and machine learning algorithms
• Are comfortable with both traditional and deep learning methods
• Have knowledge in control theory
• Have experience with object-oriented programming (e.g., Java/Kotlin, C++)
• Can communicate fluently in Swedish and English
• Have knowledge of Linux, git, or MLOps (meritorious)

To succeed in the role, you have the following personal qualities:

• Structured and self-initiative
• Problem-solving and results-oriented
• Motivated by varied and solution-oriented work

Our Recruitment Process

This recruitment process is handled by Academic Work, and our client's request is that all questions regarding the position are sent to Academic Work.

We apply rolling selection and will take down the ad when enough candidates have reached the final stage of the recruitment process. The recruitment process includes two selection tests: a personality test and a cognitive ability test. The tests are a tool to find the candidate with the highest potential for the position and to promote equality, diversity, and a fair recruitment process.