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Embedded Machine Learning Software Engineer for Next Generation Play Experiences
2 months ago
We are seeking a highly skilled Senior Staff Embedded ML Engineer to join our team and contribute to the development of next-generation LEGO Play experiences. In this role, you will be responsible for implementing efficient algorithms for real-time processing of sensor data and developing machine learning models for embedded systems.
Key Responsibilities:- Implementing algorithms for real-time processing of sensor data in embedded systems.
- Developing and implementing machine learning models for embedded systems, including microcontrollers and System-on-Chips.
- Designing and implementing optimized software for low-power embedded systems.
- Engineering products that follow highest coding standards, documentation, and efficiency.
- Staying up-to-date with the latest new machine learning and embedded systems technologies and tools.
The ideal candidate will have strong programming skills in C/C++ and Python, extensive experience on embedded products with a focus on machine learning applications, and hands-on experience building machine learning models in production environments.
What We Offer:- A competitive salary: $120,000 - $180,000 per year, depending on experience.
- An annual bonus scheme based on individual and company performance.
- Family care leave options, life insurance, disability insurance, and wellness initiatives.
- Access to the Headspace app and colleague discount on LEGO products.
- A hybrid work policy with an average of 3 days per week in the office.