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Applied Researcher
eBay · Toronto, Ontario · Posted 2 days ago
"Build advertiser guidance ML systems for eBay's fast-growing ads business, turning massive production data into optimization decisions that move ad performance."
Advertising is one of the fastest growing areas in eBay which in some ways, is defining the future of eBay. Digital advertising as an industry is growing rapidly, and the landscape is shifting as ecommerce advertisers are finding better value with ecommerce companies like eBay. As they shift budget from the duopoly of Google and Facebook, it builds a huge opportunity for eBay. Advertising is also amplifying eBay’s ecommerce by providing a tool for our sellers to move inventory and for buyers, by surfacing high quality items.
This team builds end-to-end ML and data-driven advertising systems that power both ad serving and advertiser-side optimization. We develop large-scale recommendation models to achieve marketplace monetization and bring relevant buyer experiences, while also providing intelligent guidance to help advertisers optimize their targeting, bids, budgets, inventory and business goals through automation, machine learning including GenAI. This is a high-impact and fast-growing area with significant business potential, requiring work with massive datasets and advanced machine learning techniques across ranking, forecasting, optimization, and experimentation.
As an Applied Researcher within our Advertising team, you will play a pivotal role in developing machine learning models and algorithms to guide advertisers optimally. This role will also include a scope positioned around data analysis. Your work will directly impact our guidance systems, enhancing ad performance and delivering actionable insights. You will lead our efforts in data analysis, uncovering trends, and driving data-informed decisions that support our advertisers' success.
What you will accomplish:
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This role centers on Python, Scala, Machine Learning, and Pytorch. There are 288 open roles at eBay right now.
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