Applied Researcher Agentic Systems
Share
Job Location:
Amsterdam - Netherlands
Monthly Salary:
Not Disclosed
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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 the team and the role:
The Agentic Systems Research team is building the next generation of intelligent systems that assist buyers and sellers across eBays global marketplace. Our mission is to develop AI agents capable of reasoning planning and acting across complex commerce environments helping users discover products make decisions manage inventory and complete transactions more effectively.
As an Applied Researcher you will work at the intersection of large language models retrieval systems recommender systems and agent architectures to develop AI systems that can operate reliably in real-world commerce workflows. You will collaborate with engineers product leaders and other researchers to transform research ideas into production systems used by millions of customers.
This role combines applied research experimentation and system development to advance the science and practice of agentic AI in large-scale marketplaces.
What you will accomplish:
Design and prototype agentic AI systems capable of multi-step reasoning planning and tool use across eBays marketplace infrastructure.
Develop and evaluate LLM-based systems for commerce tasks such as product discovery listing creation pricing guidance customer support and seller assistance.
Advance retrieval-augmented generation (RAG) and knowledge-grounded AI techniques for reasoning over structured marketplace data including catalog information listings and seller tools.
Build robust evaluation frameworks for agentic systems including offline evaluation synthetic task generation human evaluation and online experimentation.
Collaborate closely with engineering teams to translate research prototypes into reliable production systems operating at large scale.
Analyze large-scale datasets to understand user behavior and improve AI-driven relevance personalization and decision support.
Contribute to the broader AI research community through technical publications patents and conference presentations where appropriate.
What you will bring:
Education:
Ph.D. or M.S. in Computer Science Artificial Intelligence Machine Learning Statistics or a related technical field.
Technical Expertise:
Strong understanding of modern machine learning and deep learning techniques particularly in areas such as: Large Language Models (LLMs) Natural Language Processing Recommender systems and personalization Information retrieval and search Retrieval-augmented generation (RAG) etc.
Experience working with large-scale datasets and distributed data processing systems.
Strong programming skills in Python and modern ML frameworks with experience working with large-scale data platforms such as Spark or similar distributed systems.
Research & Problem Solving
Experience designing and running machine learning experiments including hypothesis development ablation studies error analysis and model iteration.
Familiarity with evaluation methodologies such as offline metrics human evaluation and A/B testing.
Strong analytical skills and ability to derive insights from large-scale behavioral data.
Collaboration & Communication
Excellent written and verbal communication skills with the ability to explain complex technical concepts clearly.
Ability to work effectively in cross-functional teams spanning research engineering and product.
Additional Details
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.
We use cookies to enhance your experience and may use AI tools for administrative tasks in the hiring process. To learn how we handle your personal data and use AI responsibly please visit ourTalent Privacy Notice Privacy Center and AI Hiring Guidelines.
Required Experience:
Unclear Seniority
Key Skills
- Intelligence Community Experience
- Python
- Spss
- Microsoft Word
- R
- Regression Analysis
- Windows
- Stata
- Microsoft Powerpoint
- Research Experience
- Data Modeling
- Writing Skills
About Company
Founded in 1995 in San Jose, Calif., eBay (NASDAQ: EBAY) is where the world goes to shop, sell and give. Whether you’re buying new or used, common or luxurious, trendy or rare – if it exists in the world, it’s probably for sale on eBay. Our great value and unique selection help every ... View more
