JD.COM
Machine Learning Engineer - Search and Recommendation

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JD.com Overview
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/
Job Opportunity: Machine Learning Engineer - Search and Recommendation
We have an exciting opportunity for a Machine Learning Engineer - Search and 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.
In this role, you will be driving the design and implementation of cutting-edge models to enhance user experience, optimise traffic efficiency, and support Joybuy growth. You will collaborate with product, engineering, and business teams to deliver scalable, high-impact solutions.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities:
- Design, develop, and optimise algorithms for search and recommendation systems, with a focus on improving personalisation, conversion, and user engagement.
- Oversee traffic distribution strategies in search and recommendation scenarios to meet diverse business needs, including new product cold start, seller growth, and best-seller creation.
- Drive experimentation and evaluation of algorithms, ensuring scalable deployment and continuous performance improvements.
- Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real-world challenges.
- Work onsite in London.
Minimum Qualifications:
- Master’s degree or higher in Computer Science, Mathematics, or a related field, with specialization in machine learning, NLP, or information retrieval.
- 3+ years of experience in search, recommendation, or advertising systems, including at least 2 years in a leadership or team management role.
- Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch.
- Strong programming skills in Python, C++, or Java, with a solid understanding of data structures and algorithms.
- Strong communication skills in English.
- Ability to bridge technical and business perspectives in a multicultural environment.


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Preferred Qualifications:
- Experience working in global e-commerce or large-scale consumer platforms preferred.
- Strong communication skills in Chinese
Company Commitment
JD.com is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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