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Senior Embedded Machine Learning Engineer

1 month ago

Billund, Denmark The LEGO Group Full time
Embedded Machine Learning Engineer

We are seeking a highly skilled Embedded Machine Learning Engineer to join our Play AI team, a key member of the organisation building the next generation of LEGO Play experience.

Key Responsibilities
  • Design and implement efficient algorithms for real-time processing of sensor data.
  • Develop and implement Machine Learning algorithms for embedded systems, including microcontrollers and System-on-Chips.
  • Engineer products that follow highest coding standards, documentation, and efficiency.
  • Stay up to date with the latest new Machine Learning and embedded systems technologies and tools.
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.
  • Experience with microcontroller architectures and programming.
  • Solid experience with software design, implementation, debugging, and profiling.
  • Experience on using common software development tools.
  • Preferably M.Sc. in Computer Science, Engineering, or experience in a relevant field.
What's in it for you?
  • Family Care Leave – We offer enhanced paid leave options for those important times.
  • Insurances – All colleagues are covered by our life and disability insurance which provides protection and peace of mind.
  • Wellness – We want you to be your best self, so you'll have access to the Headspace App and lots of wellbeing initiatives and programmes run by local teams where you are based.
  • Colleague Discount – We know you'll love to build so from day 1 you will qualify for our generous colleague discount.
  • Bonus – We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme.
  • Your workplace – When you join the team you'll be assigned a primary workplace location i.e. one of our Offices, stores or factories. Our hybrid work policy means an average of 3 days per week in the office.