Applied Researcher

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.

About the team and the role:

We are seeking a highly skilled and motivated Applied Researcher to join our Agentic Systems Research team. The ideal candidate will have a strong background in Natural Language Processing (NLP), Large Language Models (LLMs), Recommender Systems and Machine Learning. You will be responsible for developing and implementing sophisticated deep learning models to further empower our buyers and sellers. You will work closely with engineering and multi-functional Recommendations, NLP and platform engineers to deliver agentic experiences to our customers.

What you will accomplish:

• An opportunity to work on cutting-edge research in Recommendations, NLP and deep learning, making significant contributions to the field and real-world applications.
• A collaborative and supportive work environment where innovation and creativity are encouraged.
• Access to state-of-the-art resources and tools to support your research and development work.
• A culture that values diversity, inclusion, and the professional growth of its members.
• Competitive compensation and benefits package, tailored to attract the best talent in the field.

What you will bring:

• Education: Ph.D. or M.S. in Computer Science, Statistics, Mathematics, or a related field with a focus on machine learning or data science.
• Experience: Experience in applied research or development of machine learning models, data analysis, preferably with the advertising industry or a closely related field, i.e. search, recommender system and NLP.
• Technical Proficiency: Strong programming skills in Python, Scala, or similar languages. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch) and experience with big data technologies (e.g., Hadoop, Spark).
• Analytical Skills: Outstanding ability to analyze large datasets, and derive actionable insights. Expertise in data mining and segmentation.
• Communication: Excellent verbal and written communication skills, with the ability to convey sophisticated technical concepts to non-technical partners.