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- Tasks: Join our team to enhance search and recommendation systems for a top e-commerce platform.
- Company: JD.com is a leading tech and service provider, transforming business models with innovative solutions.
- Benefits: Work remotely or in vibrant cities like Beijing, Shenzhen, or London with competitive perks.
- Why this job: Make a real impact on customer experience while working in a dynamic, tech-driven environment.
- Qualifications: Bachelor's in Engineering or related field; experience in software development and search technologies required.
- Other info: Opportunity to influence a GBP 100 million business impact and collaborate with diverse teams.
The predicted salary is between 43200 - 72000 £ per year.
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.
We have an exciting opportunity for a Machine Learning Engineer to join our growing technical team at Joybuy. 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.
- 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.
- 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.
Machine Learning Engineer - Search and Recommendation employer: JD.COM
Contact Detail:
JD.COM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer - Search and Recommendation
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning, particularly in search and recommendation systems. Understanding how these technologies are applied in e-commerce can give you an edge during discussions with our team.
✨Tip Number 2
Network with professionals in the field of machine learning and e-commerce. Attend relevant meetups or webinars to connect with others who may have insights into our company culture and expectations.
✨Tip Number 3
Prepare to discuss your previous projects that involved search technologies or recommender systems. Be ready to explain your thought process, challenges faced, and how you overcame them, as this will showcase your problem-solving skills.
✨Tip Number 4
Research JD.com and Joybuy thoroughly. Understanding our mission, values, and recent developments will help you align your answers with what we’re looking for and demonstrate your genuine interest in joining our team.
We think you need these skills to ace Machine Learning Engineer - Search and Recommendation
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, software development, and search technologies. Use keywords from the job description to demonstrate that you meet the qualifications.
Craft a Compelling Cover Letter: Write a cover letter that explains why you're interested in the Machine Learning Engineer position at Joybuy. Mention specific projects or experiences that relate to the responsibilities outlined in the job description.
Showcase Technical Skills: In your application, emphasise your proficiency in programming languages, particularly Python, and any experience with NLP processing or recommender systems. Provide examples of how you've applied these skills in previous roles.
Highlight Business Acumen: Demonstrate your understanding of the retail and e-commerce sectors in your application. Discuss how your technical skills can solve real-world business problems, particularly in enhancing search and recommendation functions.
How to prepare for a job interview at JD.COM
✨Showcase Your Technical Skills
Be prepared to discuss your experience with search technologies and programming languages, especially Python. Bring examples of past projects where you've developed or optimised search and recommendation systems.
✨Understand the Business Impact
Since this role has a significant business impact, demonstrate your understanding of how machine learning can enhance customer experience in e-commerce. Be ready to discuss how your work can contribute to achieving business goals.
✨Communicate Clearly
Effective communication is key. Practice explaining complex technical concepts in simple terms, as you'll need to translate business needs into technical requirements. This will show your ability to collaborate with cross-functional teams.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think about real-world business problems you've encountered and how you applied your technical knowledge to resolve them.
