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:
Our Seller Experience Team is at the forefront of this mission, using groundbreaking algorithms to enhance personalization, recommendation systems, messaging experience, reviews and build trust. We are looking for stellar applied researchers to join us and play a pivotal role in advancing eBay’s seller as well as buyer experience.
What you will accomplish:
- Lead the design and implementation of sophisticated algorithms to enhance the selling experience and build user trust.
- Develop machine learning models and scalable data pipelines to deliver practical, data-driven solutions.
- Stay informed about the latest advancements in algorithms and machine learning, integrating innovative techniques to improve business metrics and user experience.
- Collaborate with cross-functional teams to transition research insights into production systems, ensuring scalability and performance.
- Conduct experiments and analyze data to drive continuous model improvements.
- Communicate research findings and technical concepts effectively to both technical and non-technical stakeholders.
What you will bring:
- MS or PhD in Computer Science, Machine Learning, Data Science, or a related field, or equivalent experience.
- Extensive industry experience in designing, developing, and deploying machine learning models (minimum 3-5 years with MS or 1-3 years with PhD).
- Strong expertise in machine learning and data science, with experience in areas such as Generative AI, NLP, recommendation systems, ranking, fraud detection, or online advertising. Passion for applying research to solve real-world challenges.
- Proficiency in Python, Java, or similar languages, with experience using ML frameworks like TensorFlow or PyTorch. Familiarity with big data tools such as Hadoop, Spark, and SQL.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Proven track record of publishing research in top-tier conferences or journals is a plus.
- Experience in e-commerce or a related industry is a plus.
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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 status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities.
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What We Do
eBay Inc. is a global commerce leader that connects millions of buyers and sellers around the world. We exist to enable economic opportunity for individuals, entrepreneurs, businesses and organizations of all sizes. Our portfolio of brands includes eBay Marketplace and eBay Classifieds Group, operating in 190 markets around the world.
We offer sellers the ability to grow a business with little barrier to entry regardless of size, background or geographic location. We never compete with our sellers. We win when our sellers succeed. Buyers who shop on our Marketplace and Classifieds platforms enjoy a highly personalized experience with an unparalleled selection at great value.
