Edge Machine Learning Engineer

Edge Machine Learning Engineer

Arbetsbeskrivning

Edge Machine Learning Engineer at ASSA ABLOY Group Technology Team in Stockholm, Sweden
We are looking for an Edge Machine Learning Engineer to join our Pre-Product Innovation team in Stockholm. Are you a trailblazer into the latest technology? Are you eager to be hands-on in developing horizon 3 concepts using constraint compute, sensor fusion, data analysis, signal processing and machine learning?
Maybe this job as an Edge Machine Learning Engineer in Stockholm is for you! A rare opportunity to join the R&D of a company leading the way in its industry. One step ahead of Google on the Forbes Top 100 list of the World’s most innovative companies.
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 Senior Edge Machine Learning Engineer at ASSA ABLOY, you will work together with creative, curious and knowledgeable people like yourself. Together we will create the next generation locks, doors and access systems.
We work in small self-organized teams to digitalize our products, empower sustainable buildings, do pre-emptive maintenance and modernize access systems among many other things.
As always with advanced research there are a lot of uncertainty and part of the job is to take calculated risks. The objective is to build knowledge and to find new and unrevealed opportunities within our domain, that creates value to the user and that is likely to be a new ASSA ABLOY Innovation
At this point we have one opening for a senior Edge Machine Learning Engineer. We will hire people continuously, so don’t hesitate to contact us.
You will report to the R&D Manager at the 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 all levels and that you are passionate about work.
Programming experience in Python and C/C++ is required as we expect you to be hands-on developing algorithms in both embedded systems and cloud from start. We expect you to be able to mentor different ML projects.
For this position, we encourage you to apply if you have a degree in computer science, electrical engineering, engineering physics or similar.
Contact and application
We will interview candidates continuously. If you think this opportunity matches your interest apply already today. Just set up your profile and apply no later than 8th June 2022.
To make sure your personal data is safe, we don’t look at any applications sent by email or post.
If you have any questions about the role or the process, email Helene Lin, Tech Talent Acquisition Specialist at helene.lin@assaabloy.com
Let's open the doors to the future - together!
We are the ASSA ABLOY Group
Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 51,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces – physical and virtual – safer, more secure, and easier to access.
As an employer, we value results – not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions – supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally.

Sammanfattning

  • Arbetsplats: ASSA ABLOY AB, Liljeholmen Stockholm
  • 1 plats
  • Tills vidare
  • Heltid
  • Fast månads- vecko- eller timlön
  • Publicerat: 23 maj 2022
  • Ansök senast: 8 juni 2022

Postadress

Förmansvägen 11
Stockholm, 11743

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