Machine Learning Engineer

Machine Learning Engineer at ASSA ABLOY Group Technology Team in Stockholm, Sweden

Do you share our belief that data-driven innovation will lead to access solutions that makes a difference in our daily life? We want to make it seamless, more convenient while keeping security and safety the highest priority. Does this sound like an interesting challenge, don’t hesitate and apply for the position as Machine Learning Engineer in Stockholm! A rare opportunity to join the R&D of a company leading the way in its industry.

ASSA ABLOY, the global leader in access solutions, is using the latest technologies to open doors to events, hospitals, education, homes, hotels, airports and businesses for millions of people every day. Joining ASSA ABLOY means being part of a fast-moving company with many opportunities in more than 70 countries.

Job description

As a Machine Learning engineer in our AI research team at ASSA ABLOY, you will work together with creative, curious, and knowledgeable people like yourself. Together we will create the next generation access solutions empowered by AI.

Our project portfolio includes data analysis, machine learning and applied AI exploration and concept innovation projects. In our work to understand what goes on around a door, we use powerful sensors combined with local or cloud compute where our machine learning models are continuously improved. We support each other in our curiosity and creativity, through thoughtful discussion, mentorship, and knowledge-sharing among a diverse set of peers and colleagues. At this point we have one opening for a machine learning engineer.

You will report to one the R&D Manager at Group Technology Team. The office is located in Årstadal, Stockholm, and international travel is required from time to time.

What we are looking for

Foremost, we think you are open-minded, curious, a team-player who takes pride in contributing at a high level and that you are passionate about work. System engineering and programming experience in Python or other relevant language is required as we expect you to be hands-on coding from the start. We do machine learning in the Cloud, Edge and on small devices. Quite a lot has to do with video, depth sensors, radar, sound, accelerometer and appropriate algorithms in isolation or collaboration. Skills that would bring value to us as well are Docker, Serverless, Cloud architecture, Mobile, Embedded, Image processing, Data pipeline, BigQuery/NoSQL, Timeseries and Graph Databases. We encourage you to apply if you have a degree in computer science or similar and significant professional machine learning experience.

Contact and application

We will interview candidates continuously, so don’t wait. We are building diverse, inclusive teams, and encourage applications from everyone who can see themselves working with us. Apply no later than July 15th, 2022.

If you have any questions about the role or the process, please reach out to the hiring manager Henrik Öhrlund by email at [email protected]

Let's open the doors to the future - together!