Location: London, United Kingdom
Department: General Management & Business Support
Job Reference: R0066762
Work Format: Hybrid
At eBay, they are more than just a global leader in ecommerce — they are innovators changing the way the world shops and sells.
With a platform that empowers millions of buyers and sellers in over 190 markets globally, eBay is committed to pushing boundaries and leaving a lasting impact as they transform the future of ecommerce.
The company values authenticity, bold ideas, and diversity, welcoming everyone to bring their unique selves to work every day.
They believe in collaboration and are dedicated to sustaining the future of their customers, their company, and our planet.
About the Team and Role
As part of the drive to build the future of eCommerce product discovery, eBay is seeking a data-driven, AI-savvy problem solver to join them for a 3-month Summer Internship starting in May or June at their Richmond office.
This unique role will sit at the crossroads of data analytics, AI/ML model evaluation, and prompt engineering, offering a perfect opportunity for someone who is equally adept at writing SQL queries and Python scripts as they are at experimenting with LLMs for analytical solutions.
Interns will play a crucial role in the Product Knowledge organization, working on optimizing taxonomy, ontology, and catalog data for next-gen search and AI-driven experiences.
This role promises a high-agency, startup-style environment. If you thrive in fast-paced, product-focused settings and enjoy collaborating closely with AI/ML, Product, and Engineering teams, this internship is for you.
What You’ll Do:
- Analyze & Optimize eCommerce Product Data: Conduct deep SQL and Python analyses to identify opportunities for improvement in taxonomy, ontology, and structured data for enhanced search and discovery.
- Leverage LLMs for Analytical Solutions: Apply prompt engineering techniques to create AI-driven approaches for taxonomy validation, data enrichment, and classification.
- Evaluate & Improve AI/ML Models: Develop and implement evaluation frameworks for product knowledge models, embeddings, and semantic search solutions.
- Drive Insights & Strategy: Utilize data-driven storytelling to influence product and AI teams, shaping decisions on catalog optimization, entity resolution, and knowledge graph development.
- Integrate with AI/ML Teams: Collaborate closely with data scientists and engineers to test and fine-tune AI-based classification, search ranking, and recommendation models.
- Prototype and Experiment: Adapt quickly, test hypotheses, and build fast experiments to validate structured data strategies and AI-driven discovery improvements.
IMPORTANT – PLEASE READ BEFORE APPLYING
- This 3-month Summer Internship starts in either May or June.
- The Intern will be based out of the Richmond office.
- This is a hybrid work format, requiring at least 3 days in the office.
- All candidates must still be enrolled in a University/College in the UK and based in the London area for the Summer.
- Graduation date should be no earlier than Winter 2025 or Summer 2026 (subject to verification with the University).
- eBay is unable to provide relocation or housing. Applicants must currently reside in the London area and remain there throughout the duration of the internship.
- Unfortunately, eBay cannot consider candidates that do not meet these criteria.
What We’re Looking For (Required):
- A student pursuing a Masters or PhD degree in Product or Business Analytics, still enrolled at a University/College in the UK with a graduation date no earlier than Winter 2025 or Summer 2026.
- Strong Data & Analytics Skills: Proficiency in SQL & Python for data wrangling, analytics, and automation.
- A Product Analytics Attitude: Familiarity with eCommerce search, recommendations, and knowledge graph applications.
- Strong Communication Skills: The ability to translate complex findings into actionable recommendations for Product, AI, and Engineering teams.
- AI/LLM Experience: Hands-on experience with LLMs, prompt engineering, and retrieval-augmented generation (RAG) for AI-powered insights (preferred).
- Model Evaluation Know-How: Capability to define metrics and evaluation frameworks for assessing ML-driven taxonomy and classification models.
- Startup DNA: The ability to thrive in fast-paced, iterative environments with deep cross-functional collaboration.
Why Join Us?
- Contribute to building the AI-powered future of eCommerce product discovery.
- Take ownership of impactful projects in a startup-like, high-agency culture.
- Engage directly with AI, Data Science, and Product teams to shape strategies around taxonomy and ontology.
- Gain real-world experience with AI/ML in a high-scale environment.
For more information on how eBay handles personal data when applying for a job, please consult the Talent Privacy Notice.
eBay is an equal opportunity employer. All applicants will be considered without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability or any other legally protected status.
Should you require accommodations, contact talent@ebay.com. eBay is committed to ensuring digital accessibility for people with disabilities, which can be explored further through our accessibility statement.
Join eBay and help shape the future of ecommerce!
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