The Amazon Search team creates powerful, customer focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query, uploads an image or browses through product categories, Amazon Search services go to work.
We design, develop, and deploy high-performance, fault tolerant distributed search systems used by millions of Amazon customers every day.
We’re seeking a thought leader to drive science initiatives for our Multi Modal eCommerce Search initiatives. This role oversees the Search relevance and ranking across text and visual shopping.
This person will also be a deep learning practitioner / thinker and guide the research in these three areas. They’ll also have the ability to drive cutting edge, product oriented research and should have a notable publication record.
This intellectual thought leader will help direct and shape the science philosophy, planning and strategy for the team, as we push into new areas : Supporting conversational searches, Computer Vision, 3D and Deep Learning.
This role will also influence partners across Amazon Stores to solve business specific objectives and improve the customer experience on specific shopping missions.
Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon Earth's most customer-centric internet company .
We provide a highly customer-centric, team-oriented environment in our offices located in Palo Alto, California.
We are open to hiring candidates to work out of one of the following locations :
Palo Alto, CA, USA Seattle, WA, USA
BASIC QUALIFICATIONS
Education - PhD in Computer science
Years of Experience : 15 - 20+ yrs (post PhD)
PREFERRED QUALIFICATIONS
Deep expertise in Information Retrieval preferred.
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