Knowledge Science Intern

At eBay were more than a global ecommerce leader were changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. Were committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass authenticity thrives bold ideas are welcome and everyone can bring their unique selves to work every day. Were in this together sustaining the future of our customers our company and our planet.

Join a team of passionate thinkers innovators and dreamers and help us connect people and build communities to create economic opportunity for all.

About Team and role

Were building the future of eCommerce product discovery and we need a datadriven AIsavvy problem solver to help us do it as a Summer Intern.

This is a 3 month Summer Internship starting in May or June and will be based in our office in Richmond.

. This is a unique role at the intersection of data analytics AI/ML model evaluation and prompt engineeringideal for someone who is just as comfortable writing SQL queries and Python scripts as they are experimenting with LLMs to build analytical be embedded in the Product Knowledge org crafting how we structure and optimize taxonomy ontology and catalog data for nextgen search recommendations and AIdriven experiences.

This is a highagency startupstyle roleif you thrive in fast paced productfocused environments and love working closely with AI/ML Product and Engineering teams this is for you.

What Youll Do

Analyze & Optimize eCommerce Product Data Run deep SQL & Python analyses to identify opportunities in taxonomy ontology and structured data for search & discovery improvements.

Leverage LLMs for Analytical Solutions Use prompt engineering techniques to create AIdriven approaches for taxonomy validation data enrichment and classification.

Evaluate & Improve AI/ML Models Develop systematic evaluation frameworks for product knowledge models embeddings and semantic search solutions.

Drive Insights & Strategy Use datadriven storytelling to influence product and AI teams helping shape decisions on catalog optimization entity resolution and knowledge graph development.

Integrate with AI/ML Teams Work closely with data scientists and engineers to test and refine AIbased classification search ranking and recommendation models.

Prototype and Experiment Adapt quickly test hypotheses and build quick experiments to validate structured data strategies and AIdriven discovery improvements.

***IMPORTANT PLEASE READ BEFORE APPLYING***

• This will be a 3 month Summer Internship starting in either May or June.
• The Intern will be based out of our office in Richmond.
• This will be hybrid work format so the incumbent will be spending at least 3 days in office.
• 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.
• We are unable to provide relocation or housing. Applicants must be currently based in the London area and will continue to be in the area for the duration of the Internship.
• We are unable to consider candidates that do not meet the above.

What Were Looking For Required):

• Student pursuing a Masters or PhD degree in Product or Business Analytics. Must still be enrolled in a University/College in the UK and graduating no earlier than Winter 2025 or Summer 2026.

• Strong Data & Analytics Skills Proficiency in SQL & Python for data wrangling analytics and automation.

• Product Analytics Attitude Familiarity with eCommerce search recommendations and knowledge graph applications

• Strong Communication Ability to turn complex findings into actionable recommendations for Product AI and Engineering teams.

• AI/LLM Experience Handson experience with LLMs prompt engineering and retrievalaugmented generation (RAG) for AIpowered insights (Preferred)

• Model Evaluation KnowHow Ability to define metrics and evaluation frameworks for assessing MLdriven taxonomy and classification models..

• Startup DNA High agency thrive in fastpaced iterative environments with deep crossfunctional collaboration.

Why Join Us

Build the AIpowered future of eCommerce product discovery.

Adapt quickly & own impactful projects in a startuplike highagency culture.

Work directly with AI Data Science and Product teams to shape taxonomy & ontology strategies.

Get handson with AI/ML in a realworld highscale environment.

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eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion national origin sex sexual orientation gender identity veteran status and disability or other legally protected you have a need that requires accommodation please contact us at. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBays commitment to ensuring digital accessibility for people with disabilities.

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