Job Description

Are you a curious Senior Engineer with an interest in artificial intelligence 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

• Uncovering new Play through AI and Machine Learning - new play interactions, play patterns and immersive play experience!
• A key member of the Play AI & Algorithms 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.
• Implement scalable, maintainable Machine Learning solutions addressing product needs.
• Develop prototypes for future play experiences, drive development, and integrate solutions into product.
• Understand the business and engage with partners to determine solutions that drive value. Collaborating with partners to ensure that the technologies are bringing real value to the product.
• Stay up to date with the latest new Machine Learning technologies and tools.

Play your part in our team succeeding

Together, we will have the opportunity to shape the focus of AI to enrich Play experiences and work on the areas that AI can help to foster the curiosity and grow confidence in the child. Your ability to build AI solutions and develop core algorithms will enable us to drive innovation and discover the new dimensions of Play.

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.
• Experience with Graph Machine Learning and be ability to apply the existing methods to tackle classification, prediction and generation tasks.
• A good depth of the state-of-the-art generative AI methods (how they work and how they are implemented) and be able to adapt these methods to custom datasets and domains.
• Machine Learning and Computer Vision knowledge to enable strong delivery within a product
• Strong programming skills in C/C++ and Python
• Experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn
• Familiarity with common software development tools
• Superb communication skills to work in a multi-functional team.

#LI-KM3

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.

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.

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