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- Tasks: Join the Play AI team to develop embedded ML algorithms for LEGO's next-gen play experiences.
- Company: LEGO Group is redefining play through innovative technology and creativity.
- Benefits: Enjoy family care leave, wellness programmes, colleague discounts, and a bonus scheme.
- Why this job: Shape the future of play while working in a collaborative and innovative environment.
- Qualifications: Strong skills in C/C++ and Python; experience with embedded ML applications required.
- Other info: Hybrid work model with 3 days in the office; be part of a creative tech revolution.
The predicted salary is between 43200 - 72000 £ per year.
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Are you a curious Senior Staff Engineer with an interest in embedded machine learning and its progressive potential?
We are looking for someone to help redefine LEGO Play Software Technology for better decision-making. Join us and help build the LEGO Group\’s digital future!
Core Responsibilities
This role is a key member of Play AI team, a part of the organisation building next generation of LEGO Play experience.
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 for the next generation of Play.
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.
Play your part in our team succeeding
Together, we 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. Your ability to build ML solutions and develop core algorithms will enable us to drive innovation and discover the new dimensions of Play. We are coming to the offices 3 days per week.
Do you have what it takes?
Strong programming skills in C/C++ and Python.
Extensive experience on embedded products with a focus on Machine Learning applications, preferably already in the market.
Hands-on experience building Machine Learning models in production environments. Track record of delivering high quality solutions.
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?
Here are some of what to expect:
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. The hiring team will discuss the policy and role eligibility with you during the recruitment process.
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Sr Staff Embedded ML Engineer employer: the LEGO Group
Contact Detail:
the LEGO Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Staff Embedded ML Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in embedded machine learning. Follow relevant blogs, attend webinars, and engage with communities to stay updated on new technologies and tools that can enhance your understanding and skills.
✨Tip Number 2
Network with professionals in the field of embedded systems and machine learning. Attend industry conferences or local meetups to connect with like-minded individuals who can provide insights and potentially refer you to opportunities at StudySmarter.
✨Tip Number 3
Showcase your hands-on experience by working on personal projects or contributing to open-source projects related to embedded ML. This practical experience can be a great conversation starter during interviews and demonstrate your passion for the field.
✨Tip Number 4
Prepare for technical interviews by practising coding challenges specifically in C/C++ and Python. Use platforms like LeetCode or HackerRank to sharpen your skills, focusing on algorithms and data structures relevant to embedded systems.
We think you need these skills to ace Sr Staff Embedded ML Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your strong programming skills in C/C++ and Python, as well as your extensive experience with embedded products and Machine Learning applications. Use specific examples to demonstrate your hands-on experience building ML models in production environments.
Craft a Compelling Cover Letter: In your cover letter, express your curiosity and passion for embedded machine learning. Discuss how your background aligns with the role's core responsibilities, particularly in implementing efficient algorithms and optimising software for low-power embedded systems.
Showcase Relevant Projects: Include a section in your application that showcases relevant projects or experiences. Highlight any work you've done with microcontroller architectures, software design, and debugging, as well as any contributions to high-quality solutions in previous roles.
Research LEGO Group: Familiarise yourself with LEGO Group's mission and values, especially their focus on innovation in play experiences. Mention in your application how you can contribute to shaping the future of LEGO Play Software Technology and fostering curiosity in children through ML solutions.
How to prepare for a job interview at the LEGO Group
✨Showcase Your Technical Skills
Be prepared to discuss your programming skills in C/C++ and Python. Highlight specific projects where you've implemented Machine Learning algorithms in embedded systems, as this will demonstrate your hands-on experience and technical expertise.
✨Understand the Company’s Vision
Familiarise yourself with LEGO's mission and how they are integrating Machine Learning into their products. Showing that you understand their goals and how your role contributes to redefining LEGO Play Software Technology will impress the interviewers.
✨Prepare for Problem-Solving Questions
Expect to tackle technical challenges during the interview. Brush up on your knowledge of real-time processing of sensor data and be ready to discuss how you would design optimised software for low-power embedded systems.
✨Demonstrate Your Passion for Innovation
Express your enthusiasm for staying updated with the latest technologies in Machine Learning and embedded systems. Share examples of how you've applied new tools or techniques in your previous work to drive innovation and improve product outcomes.
