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Applied Scientist , Rufus Experience Science

External
Amazon.com Services LLC logoAmazon.com · Palo Alto, CA
Full-timeOn-site2w ago
PythonJavaSQLExpressAWS
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Requirements

  • Experience programming in Java, C++, Python or related language
  • Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
  • Experience implementing algorithms using both toolkits and self-developed code
  • Have publications at top-tier peer-reviewed conferences or journals
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  • USA, CA, Palo Alto - 157,300.00 - 212,800.00 USD annually

Additional Information

Amazon Rufus Experience Science team is seeking a highly motivated Scientist who is passionate about building next-generation shopping experiences. In this role, you will help create conversational shopping journeys where customers can express any shopping need-discovering products, comparing options, finding inspiration, or resolving post-purchase issues. You will collaborate closely with a multidisciplinary team of scientists, engineers, product managers, and designers to deliver these experiences across multiple Rufus customer-facing features. You will thrive in this role if you enjoy bringing cutting-edge research into everyday life-both for customers and for yourself. There's nothing quite like realizing that a model you deployed yesterday is already improving your own shopping experience today. You will work side by side with scientists and engineers in a fast-paced environment, driving rapid model development and experimentation. You'll also have access to Amazon's rich datasets, AWS's massive computational resources, and a network of world-class science and engineering leaders across the company. Key job responsibilities Execute the science vision and roadmap. Develop data-driven solutions for the real-world, large scale problems. Deliver and maintain software and models in the production environment. Collaborate cross-functionally between product, design, and engineering.


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