Machine Learning Engineer - Search and Recommendation

JD.com; United Kingdom; On-site; GBP 50,000 - 80,000; Full time

Job summary

JD.com is seeking a Machine Learning Engineer to join Joybuy, its European retail brand. This role involves enhancing the search and recommendation experience, requiring solid technical skills in software development and search technologies. The ideal candidate will have a strong background in engineering and a focus on delivering customer-centric solutions.

Qualifications

• Professional experience in software development with a focus on search technologies.
• Experience in testing and launching software products.
• Good understanding of NLP processing.

Responsibilities

• Participate in system design and software development of search and recommendation functions.
• Design, develop, and maintain high-quality code and solutions.
• Communicate and translate business needs into technical requirements.

Skills

Software Development

Search Technologies

NLP Processing

Python

Customer Focus

Education

Bachelor's degree in Engineering, Computer Science, Mathematics, or related field

Job description

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 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 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. The work location can be Beijing, Shenzhen, or London.
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.

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 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

• 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.