JD.COM
Machine Learning Engineer - Recommendation
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Machine Learning Engineer - Recommendation
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, the company has expanded into sectors including retail, technology, logistics, healthcare, and more, aiming to transform traditional business models with cutting-edge digital solutions. Know more about us: https://corporate.jd.com/
We have an exciting opportunity for a Machine Learning Engineer - Recommendation 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. Your work has an impact on the 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 direct impact on business revenue.
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The ideal candidate will have solid technical experience with recommender systems and strong business acumen.
Responsibilities 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. Work onsite in London.
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Minimum Qualifications Bachelor's degree in Engineering, Computer Science, Mathematics, or a related technical field. Professional experience in software development, with recent years focused on recommender systems. 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 solve real-world business problems. Good understanding of NLP processing. Proficiency in the English language.
Preferred Qualifications A background or strong understanding of the retail sector, logistics, and/or e-commerce. Proficiency in the Chinese language.
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