Senior Embedded Machine Learning Software Engineer
3 weeks ago
Unlock the Full Potential of Embedded Machine Learning with The LEGO Group
About the RoleWe are seeking a highly skilled Senior Embedded Machine Learning Software Engineer to help redefine LEGO Play Software Technology for better decision-making. As a key member of the Play AI team, you will contribute to the development of the next generation of LEGO Play experience.
Key Responsibilities- Design and implement efficient algorithms for real-time processing of sensor data, leveraging your expertise in C/C++ and Python.
- Develop and implement Machine Learning algorithms for embedded systems, including microcontrollers and System-on-Chips, to drive innovation in the next generation of Play.
- Collaborate with the team to design and implement optimised software for low-power embedded systems, ensuring high coding standards, documentation, and efficiency.
- Stay up-to-date with the latest Machine Learning and embedded systems technologies and tools to drive continuous improvement.
As a Senior Embedded Machine Learning Software Engineer, you will have the chance to shape the focus of ML to enrich Play experiences and work on areas where ML can help foster curiosity and grow confidence in children. You will be part of a collaborative team that is passionate about driving innovation and discovery in Play.
Requirements- Strong programming skills in C/C++ and Python, with extensive experience on embedded products and 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 software design, implementation, debugging, and profiling.
- Experience with common software development tools and a solid understanding of software engineering principles.
- Preferably M.Sc. in Computer Science, Engineering, or a relevant field.
At The LEGO Group, we are committed to providing a supportive and inclusive work environment. Our benefits include:
- Family Care Leave – We offer enhanced paid leave options for those important times.
- Insurances – All colleagues are covered by our life and disability insurance, providing 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 – You'll qualify for our generous colleague discount from day one.
- Bonus – We do our best work to succeed together. When goals are reached and if eligible, you'll be rewarded through our bonus scheme.
- Hybrid work policy – You'll have the flexibility to work from home and in the office, with an average of 3 days per week in the office.
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