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- Tasks: Join our team to enhance search and recommendation systems for a leading e-commerce platform.
- Company: JD.com is a top tech and service provider, revolutionising retail with innovative digital solutions.
- Benefits: Enjoy flexible work locations, competitive salary, and the chance to impact millions.
- Why this job: Make a real difference in customer experience while working in a dynamic, tech-driven environment.
- Qualifications: Bachelor's degree in a technical field and experience in software development, especially with search technologies.
- Other info: Opportunities to work in London, Beijing, or Shenzhen; proficiency in Mandarin is a plus.
The predicted salary is between 43200 - 72000 £ per year.
Machine Learning Engineer – Search and 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 to join our growing technical team at Joybuy (https://www.joybuy.com/ ). Joybuy is JD.coms 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.
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Machine Learning Engineer (London) employer: JD.COM
Contact Detail:
JD.COM Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Engineer (London)
✨Tip Number 1
Familiarise yourself with the latest trends in search technologies and recommendation systems. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the e-commerce and machine learning sectors. Attend relevant meetups or webinars, and connect with people on LinkedIn who work at JD.com or similar companies to gain insights and potentially get referrals.
✨Tip Number 3
Prepare to discuss your experience with NLP and how it can be applied to improve search and recommendation systems. Be ready to share specific examples of projects you've worked on that demonstrate your technical skills and business acumen.
✨Tip Number 4
Research Joybuy's current offerings and customer feedback. Understanding their products and services will enable you to tailor your discussions around how you can contribute to enhancing their search and recommendation functionalities.
We think you need these skills to ace Machine Learning Engineer (London)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Machine Learning Engineer position. Familiarise yourself with the company's focus on search and recommendation technologies.
Tailor Your CV: Customise your CV to highlight relevant experience in software development, particularly in search technologies and NLP. Emphasise any projects or roles that demonstrate your technical skills and business acumen.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the specific needs of the role. Discuss how your experience aligns with the company's goals and how you can contribute to their mission of enhancing customer experience through technology.
Showcase Your Technical Skills: In your application, be sure to mention your proficiency in programming languages, especially Python, and any experience you have with recommender systems. Highlight any relevant projects or achievements that demonstrate your capabilities.
How to prepare for a job interview at JD.COM
✨Understand the Company and Its Products
Before your interview, take some time to research JD.com and Joybuy. Familiarise yourself with their services, especially in search and recommendation technologies. This will help you demonstrate your interest and understanding of how your role as a Machine Learning Engineer can contribute to their goals.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with search technologies and machine learning algorithms. Bring examples of past projects where you've successfully implemented these skills. Highlight your proficiency in programming languages, particularly Python, as this is crucial for the role.
✨Prepare for Problem-Solving Questions
Expect to face technical questions that assess your problem-solving abilities. Practice coding challenges related to search algorithms and recommendation systems. Being able to think on your feet and articulate your thought process will impress your interviewers.
✨Demonstrate Business Acumen
Since the role requires translating business needs into technical requirements, be ready to discuss how your technical solutions can drive business outcomes. Share examples of how you've balanced technical excellence with customer focus in previous roles.
