Senior Embedded Machine Learning Architect

5 days ago


Billund, Denmark The LEGO Group Full time
Job Description

We are seeking a highly skilled Senior Embedded Machine Learning Architect to join our team at the LEGO Group.

Key Responsibilities
  • Design and implement efficient algorithms for real-time processing of sensor data using C/C++ and Python programming skills.
  • Develop and implement Machine Learning algorithms for embedded systems, including microcontrollers and System-on-Chips, for the next generation of LEGO Play.
  • Optimise software for low-power embedded systems, ensuring high coding standards, documentation, and efficiency.
  • Engineer products that meet the highest quality standards, staying up-to-date with the latest Machine Learning and embedded systems technologies and tools.
About the Role

This is a key member role in the Play AI team, part of the organisation building the next generation of LEGO Play experience. As a Senior Embedded Machine Learning Architect, you will play a critical part in shaping the focus of ML to enrich Play experiences.

Requirements
  • Strong programming skills in C/C++ and Python.
  • Extensive experience on embedded products with a focus on Machine Learning applications.
  • Hands-on experience building Machine Learning models in production environments, with a track record of delivering high-quality solutions.
  • Experience with microcontroller architectures and programming, as well as solid experience with software design, implementation, debugging, and profiling.
  • Preferably M.Sc. in Computer Science, Engineering, or relevant field.
What's in it for You?

As a valued member of our team, you can expect:

  • FAMILY CARE LEAVE - enhanced paid leave options for important times.
  • INSURANCES - all colleagues covered by life and disability insurance.
  • WELLNESS - access to the Headspace App and wellbeing initiatives.
  • COLLEAGUE DISCOUNT - qualify for our generous colleague discount from day 1.
  • BONUS - eligible for our bonus scheme when goals are reached.
  • YOUR WORKPLACE - hybrid work policy with an average of 3 days per week in the office.
Estimated Salary: $120,000 - $150,000 per annum

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