Applied Researcher 2 - Multimodal AI

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About the role

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 the role of Applied Researcher 2 on the Computer Vision team, you will contribute to advancing eBay’s vision and multimodal capabilities for large-scale applications. You will work on the design, training, fine-tuning, evaluation, and deployment of models across problem spaces including search, recommendations, video and live stream understanding. This role is a hands-on role that takes end-to-end ownership of projects, apply rigorous methodology, and help bring high-quality ML solutions from idea to production. What you will accomplish: • Develop and deploy computer vision or multimodal machine learning models for production applications across search, recommendations, video and live streaming. • Take end-to-end ownership of research and applied ML projects, from problem framing and data preparation through experimentation, evaluation, implementation, and productionization. • Design and improve training, inference, and evaluation pipelines for modern AI systems, including workflows that orchestrate multiple models and services. • Apply strong experimental methodology and scientific rigor to model development, including metric design, offline and online evaluation, error analysis, and ablation studies. • Contribute to core capabilities in classical and modern vision or multimodal problem spaces such as detection, segmentation, classification, contrastive learning, visual-language modeling, and multimodal retrieval. • Build and improve agentic or VLM-powered pipelines that combine foundation models, retrieval, tools, and business logic to deliver scalable user and seller experiences. • Partner with product managers, engineers, designers, and researchers to translate business opportunities into robust technical solutions. • Communicate progress, technical trade-offs, and results clearly to cross-functional stakeholders. Qualifications: • Ph.D. or M.S. in Computer Science, Electrical Engineering, Machine Learning, Artificial Intelligence, Applied Mathematics, or a related technical field with a focus on computer vision, multimodal learning, or artificial intelligence. • 3 or more years of experience building computer vision a

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