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.

Working Student (f/m/d) Human Language Technology

- starting date October/November 2025 - hybrid work model - part time - student status required

About the team and the role:

The Search Query Science team at eBay is a key driver of the companys search revenue and is growing rapidly. Were building a world-class team that values bold innovative thinking and rewards impact. Our work focuses on solving core e-commerce search challengeslike query rewriting annotation classification and recoveryusing cutting-edge ML algorithms that interpret large-scale user behavior. With a fun collaborative environment were now looking for stellar applied researchers to develop advanced query understanding products. If youre excited by large-scale query processingintent detection entity resolution categorization expansion and filter recommendationjoin us and help redefine query understanding at eBay.

What you will accomplish:

Tackle advanced AI challenges in machine learning and text understanding at eBay. Collaborate with researchers and engineers on cutting-edge technologies. Contribute to solving complex problems that impact eBays platform. Help shape the technical vision for query understanding. Develop and apply software engineering standards to improve development experience. Build offline data pipelines for ML model training and validation. Design and deploy web services for serving real-time inference algorithms.

What you will bring:

• Pursuing a Master of Science degree in computer science or related fields with a preferred specialisation in machine learning or NLP;
• Knowledge of Machine Learning and Statistics fundamentals: classification regression and clustering dimensionality reduction and feature selection convex/non-convex optimization ranking and recommendation hypothesis testing;
• Strong education in computer science (data structures and algorithms computational complexity analysis) and proficiency with one or more programming language (Python Java C/C bash and other scripting languages);
• Experience or interest in working with all kinds of Artificial Neural Networks and Large Language Models;
• Experience or interest in working with service-oriented architectures and frameworks (e.g. SpringBoot);
• Experience or interest in working with cloud computing solutions (Docker Kubernetes etc.);
• Proven ability to work independently and make good decisions with minimal direction;
• Strong communication skills (fluent English both verbal and written)

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