Applied Scientist, Amazon Core Search
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Monthly Salary:
Posted on:
14 hours ago
Vacancies:
1 Vacancy
Job Summary
We are embarking on a multi-year journey to improve the shopping experience for customers globally. Amazon Search team creates customer-focused search solutions and technologies that makes shopping delightful and effortless for our customers. Our goal is to understand what customers are looking for in whatever language happens to be their choice at the moment and help them find what they need in Amazons vast catalog of billions of products.
As Amazon expands to new geographies and new interfaces we are faced with the unique challenge of maintaining the bar on Search Quality due to the diversity in user preferences multilingual search and data scarcity.
We are looking for an applied researcher to work on improving search on Amazon using NLP ML and DL technology. As an Applied Scientist you will lead our efforts in query understanding semantic matching and ranking. As part of this role you will develop high precision high recall and low latency solutions for search. Your solutions should work for all languages that Amazon supports and will be used in all Amazon locales world-wide. You will develop scalable science and engineering solutions that work successfully in production. You will work with leaders to develop a strategic vision and long term plans to improve search globally.
We are growing our collaborative group of engineers and applied scientists by expanding into new areas.
- Experience programming in Java C Python or related language
- Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse
- Masters degree
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
As Amazon expands to new geographies and new interfaces we are faced with the unique challenge of maintaining the bar on Search Quality due to the diversity in user preferences multilingual search and data scarcity.
We are looking for an applied researcher to work on improving search on Amazon using NLP ML and DL technology. As an Applied Scientist you will lead our efforts in query understanding semantic matching and ranking. As part of this role you will develop high precision high recall and low latency solutions for search. Your solutions should work for all languages that Amazon supports and will be used in all Amazon locales world-wide. You will develop scalable science and engineering solutions that work successfully in production. You will work with leaders to develop a strategic vision and long term plans to improve search globally.
We are growing our collaborative group of engineers and applied scientists by expanding into new areas.
- Experience programming in Java C Python or related language
- Experience with SQL and an RDBMS (e.g. Oracle) or Data Warehouse
- Masters degree
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
IC
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
About Company
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