Amazon
Senior Principal Applied Scientist, Search Science
Amazon, Palo Alto, California, United States, 94306
Senior Principal Applied Scientist, Search Science
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, the 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, USASeattle, WA, USA
Education - PhD in Computer ScienceYears of Experience: 15 - 20+ yrs (post PhD)Deep expertise in Information Retrieval preferred.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
https://www.amazon.jobs/en/disability/us .
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $240,100/year in our lowest geographic market up to $350,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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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, the 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, USASeattle, WA, USA
Education - PhD in Computer ScienceYears of Experience: 15 - 20+ yrs (post PhD)Deep expertise in Information Retrieval preferred.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit
https://www.amazon.jobs/en/disability/us .
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $240,100/year in our lowest geographic market up to $350,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr