Manager Applied Research SEO

eBay
With more than 100 million active users and hundreds of millions of active product listings, eBay is the world’s most vibrant and dynamic online marketplace.
Here at eBay, we do not have big data. We have HUGE data. So, if you are passionate about conducting research and working with real, live data of the largest inventory in the world, we are the right place for you!
Our science teams explore and provide solutions for extremely complex problems that huge data can bring by conducting research in the fields of Machine Learning, NLP and Information Retrieval. We work closely with the product teams in order to bring state of the art technology to production while publishing the scientific work in top-tier conferences (NIPS, WWW, WSDM, SIGIR, EMNLP, and others)eBay SEOSearch Engine Optimisation (SEO) at eBay is a fun and challenging environment, where every day you will be finding solutions for eBay’s global scale and unique breadth of inventory.
Your work will directly improve the experience hundreds of millions of buyers and sellers, around the world as they interact with billions of listings,
eBay’s SEO teams are recognized as industry leaders, regularly piloting the latest initiatives in collaboration with the world’s largest search engines, and pioneering new techniques and ways of working.Your huge impact in this role
By leading eBay SEO science team you will be able to conduct world-class research in the area of Machine Learning and Natural Language Processing, solve complex problems for eBay's core product and see your work impact billions of people around the world.
You will work with top scientists to conduct top of the line research where your goal would be ensuring that eBay buyer experience has the most important pages buyers are looking for and are found by search engines like Google or Bing to appear in their results for the most appropriate search queries.What shall you bring to the table?

• Phd in a relevant domain is a must
• 5+ years’ experience in managing teams (8-12 people), while still doing some hands-on coding
• Proven experience in the fields of Machine Learning, data mining, information retrieval and knowledge management
• Ability to lead people and effectively collaborate with a variety of teams to bring technology from the idea phase to the market
• Solid understanding of computer science fundamentals, data structures, and algorithms.
• Combination of strong research & engineering skills.
• Experience in programming (Python and Java are a plus), machine learning and statistics.
• Experience in working in a complex production environment - a plus
• Publication record in machine learning or related conferences - a plus.
• Experience in Agentic development - a plus