Senior Staff Machine Learning Engineer – Play AI and Data

Job Description

Uncovering new Play through AI and Machine Learning - new play interactions, play patterns and immersive play experience!

A key member of the Play AI & Data team, you will be a tech lead in our efforts to develop and deploy Machine Learning models and systems that enable the delivery of new digitalised products to our customers.

The role can be based in Billund, Denmark or London, UK.

Core Responsibilities

• Implement scalable, maintainable Machine Learning solutions addressing product needs.
• 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.
• Work with Machine Learning Scientists, collaboration closely with Hardware engineers, Firmware engineers, System Architects and Product Designers at all levels of seniority to integrate embedded Machine Learning systems with larger systems.
• Understand the business and engage with partners to identify solutions that drive value. Collaborating with stakeholders to ensure that the technologies are bringing real value to the product.
• Stay up to date with the latest new Machine Learning and embedded systems technologies and tools.

Play your part in our team succeeding

Play AI & Data is a specialist team within Play Engineering, the organization charged with building integrated physical/digital LEGO® play experiences.

We develop software & hardware solutions and platforms for complete life cycle applying the newest technology with a dedicated focus on reusability and scalability in our software platforms.

We work with an agile approach, and we collaborate extensively. Our objective is to innovate Build & Play with new technology and develop true LEGO® experiences enabled in platforms that strategically will secure LEGO a competitive advantage many years to come.

Do you have what it takes

• BEng or M.Sc. in Computer Science, Engineering, Mathematics or experience in a relevant field
• 5+ years hands-on experience building Machine Learning models, developing proof of concepts, and creating production code. Track record of delivering high quality solutions.
• A good breadth and depth of Machine Learning and Computer Vision knowledge to enable strong delivery within a product
• Experience working on embedded products with a focus on Machine Learning applications, preferably already in the market
• Strong programming skills in C/C++ and Python
• Experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn
• Experience with microcontroller architectures and programming
• Familiarity with common software development tools
• Excellent communication skills to work in a cross-functional team.

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. The hiring team will discuss the principles of our hybrid work model 'Best of Both', role eligibility and frequency with you during the recruitment process.

Children are our role models. Their curiosity, creativity and imagination inspire everything we do. We strive to create a diverse, dynamic and inclusive culture of play at the LEGO Group, where everyone feels safe, valued and they belong.

The LEGO Group is proud to be an equal opportunity employer. We are committed to equal employment opportunity and equal pay regardless of e.g. race, colour, religion, sex, national origin, sexual orientation, disability or gender identity.

The LEGO Group is fully committed to Children’s Rights and Child Wellbeing across the globe. Candidates offered positions with high engagement with children are required to take part in Child Safeguarding Background Screening, as a condition of the offer.

Thank you for sharing our global commitment to Children’s Rights.

Just imagine building your dream career.

Then make it real.

Join the LEGO® team today.

We are proud supporters of Women in Data®.  Connect, engage and belong to the largest free female data community in the UK – visit: www.womenindata.co.uk to join our community.