At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.
Looking to make an impact on the future of global commerce? Seeking a stellar Applied Research Manager to join us in crafting the next generation of search and advertising products that redefine e-commerce. As an Applied Research Manager, you lead scientists and engineers, guiding major projects. This role is a unique blend of technical leadership and people management, perfect for a seasoned researcher who excels at both.
Manage a group of researchers and technologists, aligning the team's work with product initiatives and encouraging the professional development of your team members.
Take on vague and ambitious business problems, translating them into principled, solvable research plans and driving them from idea to production.
Serve as the technical project lead for critical initiatives, collaborating with product managers and engineers to build robust data pipelines and scalable algorithmic systems.
An experienced and strong practitioner of machine learning with deep industrial experience in one or more of the following: classification, regression, recommendation systems, ranking systems, online advertising, or fraud detection.
Proven track record to lead complex projects, reduce ambiguity, and make critical technical decisions that balance short-term needs and long-term vision.
Experience designing and operating big data processing pipelines using technologies like Hadoop, Spark, Hive, or SQL.
Strong programming skills and experience building large-scale backend systems using languages such as Python, R, Java, Scala, or C++.
PhD in Computer Science, Statistics, or a related field with 4-8 years of industry experience, OR a Master's degree with 8-11 years of industry experience.
A history of publishing in top-tier academic conferences is a strong plus.
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