Working Student Human Language Tech

Vor 7 Tagen

Kleinmachnow, Deutschland eBay Vollzeit

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re 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. We're 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**:
**About the team and the role**:
The Search Query Understanding team at eBay is a key driver of the company’s search revenue and is growing rapidly. We’re building a world-class team that values bold, innovative thinking and rewards impact. Our work focuses on solving core e-commerce search challenges—like query rewriting, annotation, classification, and recovery—using cutting-edge ML algorithms that interpret large-scale user behavior. With a fun, collaborative environment, we're now looking for stellar applied researchers to develop advanced query understanding products. If you're excited by large-scale query processing—intent detection, entity resolution, categorization, rewrites, and knowledge graphs—join 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 eBay’s platform.
- Help shape the technical vision for query understanding.
- Build robust data pipelines and real-time monitoring/optimization 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
- Experience with designing and training machine learning models
- Proven ability to work independently and make good decisions with mínimal direction
- Strong communication skills (fluent English, both verbal and written)
- Experience working with complex and large text and web data
- Experiences working with deep learning tools, like PyTorch or TensorFlow
- Programming skills (Python, C++/Java, Perl, bash command-line tools)
- Experience/interest in working with service-oriented architectures and frameworks (e.g. SpringBoot);
- Experience/interest in working with cloud computing solutions (Docker, Kubernetes, etc.).
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