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 Recommendations team works on delivering recommendations at scale and in near real time to our buyers on our website and native app platforms. Recommendations are a core part of how our buyers navigate eBay’s vast and varied inventory. Our team develops innovative recommendations systems, including deep learning based retrieval systems for personalized recommendations, GenAI/LLM powered recommendations, as well as sophisticated MLOps in a high volume traffic industrial e-commerce setting.
We are building cutting edge recommender systems powered by the latest ML/AI technologies! Additionally, we are building production integrations with Google GCP Vertex AI platforms to supercharge our item recommendation algorithms. We are looking for a top-tier engineer who can supercharge our engineering tech stack, with the business goal of enabling personalized discovery of eBay unique inventory, both for eBay enthusiasts as well as first time visitors.
What you will accomplish:
What you will bring:
Links to some of our previous work:
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