Job Description

?Job Responsibilities?

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?Job Requirements?

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We have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy (https://www.joybuy.com/). Joybuy is JD.com's European full-category online retail brand designed to bring customers a faster, more convenient, and cost-effective shopping experience. Offering same-day and next-day delivery across the UK, Joybuy combines speed, reliability, and affordability to meet the needs of modern shoppers. Know more about us: https://corporate.jd.com/


Your work has an impact on the search and recommendation experience for our customers. This will involve working alongside our design leads, product leads, and business leads, helping with everything from the development of tools and platforms to code optimisations and the deployment of solutions. This role will have a business impact of at least GBP 100 million. The ideal candidate will have solid technical experience with search engines and strong business acumen.

Responsibilities:

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Participate in system design, architecture, and software development of the search and recommendation function. Design, develop, test, deploy, maintain, and enhance high-quality code and solutions. Perform code reviews to optimise the technical performance of the solutions. Influence and coach a distributed team of engineers. Communicate and translate business needs into technical requirements. Manage project priorities, deadlines, and deliverables. Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Look for opportunities to continuously improve our technology, processes, and practices.

Minimum Qualifications:

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Bachelor's degree in Engineering, Computer Science, Mathematics, or a related technical field. Professional experience in software development, with recent years focused on search technologies. Professional experience in testing and launching software products, as well as software design and architecture. Experience with different programming languages and a good grasp of at least one language, such as Python. Customer focus with the right balance between outcome delivery and technical excellence. Ability to apply technical skills and know-how to solving real-world business problems. Good understanding of NLP processing. Proficiency in the English language.

Preferred Qualifications:

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A background or strong understanding of the retail sector, logistics, and/or e-commerce. Recent professional software development experience in recommender systems. Proficiency in the Mandarin language.

What We Offer:

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A dynamic and challenging work environment in a leading global e-commerce company. The opportunity to work with a diverse international team and to make a significant impact on JD.com's global presence. Competitive salary and benefits package, including health insurance, retirement plans, and performance bonuses.

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About JD.com?

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JD.com (NASDAQ: JD and HKEX: 9618), also known as JINGDONG, has evolved from a pioneering e-commerce platform into a leading technology and service provider with supply chain at its core. Renowned for its supply chain innovation and excellence, JD.com has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Ranked 47th on the Fortune Global 500, JD.com is China's largest retailer by revenue. In 2023, JD.com reported revenues of US$152.8 billion and served approximately 600 million active customers.

?Our International Business?

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We are dedicated to building a digitally intelligent, cross-border supply chain and global retail infrastructure. Leveraging our global supply chain capabilities, JD.com continues to expand in markets where our competitive strengths shine. Currently, JD.com operates globally, with business activities in countries such as China, the U.S., U.K., Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, and many others, reaching customers in every corner of the world.