Applied Scientist II, Search Ranking
Palo Alto, CA - USA
Job Summary
The Search Relevance team focuses on several technical areas for improving search this role you will invent universally applicable signals and algorithms for training machine-learned ranking models. The relevance improvements you make will help millions of customers discover the products they want from a catalog containing millions of products. You will work on problems such as predicting the popularity of new products developing new ranking features and algorithms that capture unique characteristics and analyzing the differences in behavior of different categories of customers. The work will span the whole development pipeline including data analysis prototyping A/B testing and creating production-level components.
Joining this team youll experience the benefits of working in a dynamic entrepreneurial environment while leveraging the resources of (AMZN) one of the worlds leading Internet companies. We provide a highly customer-centric team-oriented environment in our offices located in Palo Alto California.
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Key job responsibilities
Your responsibilities include but not limited to:
* Analyze the data and metrics resulting from traffic into Amazons product search service.
* Design build and deploy effective and innovative ML solutions to improve search ranking.
* Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production.
* Publish and present your work at internal and external scientific venues in the fields of ML/NLP/IR.
- PhD or Masters degree and 4 years of CS CE ML or related field experience
- Experience programming in Java C Python or related language
- Experience in any of the following areas: algorithms and data structures parsing numerical optimization data mining parallel and distributed computing high-performance computing
- Experience using Unix/Linux
- Experience in professional software development
- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning
- Experience with Machine and Deep Learning toolkits such as MXNet TensorFlow Caffe and PyTorch
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.
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.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at CA Irvine - 142800.00 - 193200.00 USD annually
USA CA Palo Alto - 171600.00 - 222200.00 USD annually
USA WA Seattle - 142800.00 - 193200.00 USD annually
Required Experience:
IC
About Company
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