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 role and the team:

As an Applied Researcher in the Computer Vision group, you will develop the multimodal intelligence that powers how buyers find inventory. You will build high-quality listings for sellers and improve eBay’s shopping experiences across search, recommendations, content generation, live streaming, and video.

This team works at the intersection of visual computing, multimodal data integration, and large-scale machine learning systems. We build and deploy production models and agentic pipelines that understand visual, textual and other multimodal signals, improve retrieval and ranking, generate and transform content, and enable new product experiences at global scale. The work spans foundational model development, orchestration of complex inference and training systems, and close partnership with product and engineering leaders to translate research into measurable business impact.

In your role as an Applied Researcher 3, you will advance eBay’s multimodal and vision capabilities in order to support large-scale applications.
You will own the build, training, fine-tuning, evaluation, and deployment of brand-new models across a range of problem spaces including search, recommendations, content generation, and video understanding.

As a Senior Researcher on the team you: help shape the technical direction, vision, and multimodal stack; influence senior stakeholders, and mentor researchers.

What you will accomplish:

• Develop and deploy visual recognition and multimodal machine learning models for large-scale production applications across search, recommendations, video and live streaming.
• Design and optimize end-to-end training and inference pipelines for modern AI systems, including orchestration of multiple models and services in production environments.
• Advance core capabilities in classical and modern vision and multimodal problem spaces such as detection, segmentation, classification, metric and contrastive learning, and visual-language modeling.