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Senior Embedded Machine Learning Engineer

1 month ago


Billund, Denmark The LEGO Group Full time
Transform LEGO Play Software Technology with Embedded Machine Learning

We are seeking a Senior Staff Embedded ML Engineer to redefine the future of LEGO Play Software Technology. As a key member of the Play AI team, you will implement efficient algorithms for real-time processing of sensor data, develop and implement Machine Learning algorithms for embedded systems, and design and implement optimised software for low-power embedded systems.

Key Responsibilities
  • 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.
  • Design and implement optimised software for low-power embedded systems.
  • 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.
What We Offer

As a Senior Staff Embedded ML Engineer at The LEGO Group, you will have the opportunity to shape the focus of ML to enrich Play experiences and work on the areas that ML can help to foster the curiosity and grow confidence in the child. You will be part of a team that drives innovation and discovers new dimensions of Play. We offer a hybrid work policy, with an average of 3 days per week in the office. Our benefits include family care leave, insurances, wellness programs, colleague discount, bonus, and more.

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 with common software development tools.
  • Preferably M.Sc. in Computer Science, Engineering, or experience in a relevant field.