At e Bay, 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.

Ready to shape the future of global commerce with bold ideas and groundbreaking technology?At e Bay, we’re more than just a marketplace — we’re a vibrant, purpose-driven community built on passion, courage, and creativity. Every day, we empower millions of people to buy, sell, connect, and thrive. If you're looking to make an impact in a company that values innovation and inclusivity, e Bay is a place you'll be proud to call home.We’re searching for a visionary AI leader to spearhead a team of world-class applied researchers and engineers. Your mission? To design and deliver transformative machine learning and generative AI solutions at e Bay scale — from cutting-edge, personalized product recommendations for millions of users, to unlocking deep semantic understanding of over two billion listings, to building immersive and intelligent shopping experiences that have never been seen before.In this role, you’ll collaborate with top minds across our global Recommendations and Buyer Experience AI organization — including product managers, designers, and analytics leaders — to reimagine what’s possible in personalized e-commerce. If you’re passionate about leading with purpose and building AI that matters, we’d love to meet you.

This is an opportunity to:

• Lead and manage a large team of applied researchers and engineers with deep expertise in natural language processing, large language models / Generative AI, recommender systems, and ML production engineering

• Drive applied research strategy for the e Bay buyer experience, and influence how people will interact with e Commerce in the future

• Work with unique and large data sets of unstructured multimodal data representing e Bay's vast and varied inventory, and millions of users

• Develop and deploy state of the art AI models

• Deploy big data technology and large scale data pipelines

• Drive marketplace GMB as well as advertising revenue via organic and sponsored recommendations

• Create a culture of applied research, innovation, experimentation and engineering excellence Qualifications

• Advanced degree (MS or PhD) in Computer Science or a related field, with 15 years of experience in Machine Learning, AI, or large-scale engineering environments.

• Proven track record of building and leading high-impact engineering and research teams, ideally within ML/AI-focused organizations.

• Experience with a variety of data science and ML techniques, exposure to Natural Language Processing (NLP) and industrial-grade recommender systems, with a passion for solving real-world problems at scale.

• Solid background in production-level engineering practices, including Agile methodologies and object-oriented programming (e.g., Scala, Java), in high-throughput environments.

• Proven track record of having business impact with production grade cloud-native solutions, scalable data pipelines, and large-scale distributed databases.

• A history of technical thought leadership through academic publications, patents, or contributions to open-source projects or technical blogs is highly desirable.

Links to some of our previous work:

• [Tech Blog 2025 (Multimodal GenAI)](https: //www.linkedin.com/pulse/enhancing-ebays-visual-shopping-experience-automated-image-galsurkar-9pgle/)

• [Tech Blog 2025](https: //www.linkedin.com/pulse/mercury-agentic-ai-platform-llm-powered-experiences-ebay-chowdhury-kka8e/) (GenAI Agentic Platform)

• [RecSys 2024 Workshop paper](https: //arxiv.org/pdf/2410.11464)

• [Google Cloud Blog 2024](https: //cloud.google.com/blog/products/ai-machine-learning/ebay-uses-vertex-ai-vector-search-for-recommendations)

• [eBay Tech Blog 2023](https: //innovation.ebayinc.com/stories/evolving-recommendations-a-personalized-user-based-ranking-model/)

• [eBay Tech Blog 2022](https: //innovation.ebayinc.com/stories/building-a-deep-learning-based-retrieval-system-for-personalized-recommendations/)

• [RecSys 2021 paper](https: //dl.acm.org/doi/10.1145/3460231.3474242)

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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 talentebay.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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