Amazon Data Scientist with Expertise in Deep Learning and NLP

3 weeks ago


Renton, Washington, United States Amazon Services LLC Full time

We are seeking a highly skilled Applied Scientist to join our team at Amazon Services LLC. This role offers a unique opportunity to drive our discovery strategy for Amazon's vast knowledge trove.

The ideal candidate will have a strong background in deep learning, machine learning, and natural language processing (NLP) techniques. They will use these skills to create scalable solutions for building personalized assistant systems based on structured and unstructured contextual signals.

A day in the life of an Amazon Software Builder Experience (ASBX) organization member involves creating world-class builder experiences across tens of thousands of software engineers and all Amazon businesses. Our Knowledge Tech team owns the discovery tools that software developers use to build and innovate on behalf of our customers.

As a successful candidate, you will be responsible for:

  • Developing innovative methods for contextual knowledge extraction and information retrieval using language models combined with other learning techniques
  • Collaborating with cross-functional teams to identify and solve complex problems in personal knowledge aggregation, processing, modeling, and verification
  • Designing and executing experiments to evaluate the performance of state-of-the-art algorithms and models

You will work closely with engineers, product managers, and scientists to drive results and iterate quickly to improve outcomes. Your expertise in deep learning, NLP, and related technologies will help us deliver cutting-edge solutions that transform customer experiences.

Benefits include competitive compensation and a comprehensive benefits package. Compensation reflects labor costs across various US geographic markets. The base pay for this position ranges from $150,400/year in our lowest market up to $260,000/year in our highest market. Additional forms of compensation may be included as part of a total compensation package.



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