Jobs · Analyst · California

Applied Scientist II, Console Science

Amazon Web Services (AWS) · Santa Clara, CA · 1 wk ago
AnalystFull-time

About the role

We are looking for passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading Conversational AI Systems. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Understanding (NLU), Dialog Systems including Generative AI with Large Language Models (LLMs) and Applied Machine Learning (ML).

Responsibilities

  • Develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology.
  • Gain hands-on experience with Amazon’s heterogeneous text, structured data sources, and large-scale computing resources to accelerate advances in language understanding.
  • Collaborate with internationally recognized experts to work on a variety of areas within human language technology including NLU, Dialog Management, Conversational AI, LLMs and Generative AI.
  • Reimagine the experience of all customers on AWS using generative AI and foundation models.

Requirements

  • 3+ years of building models for business applications experience.
  • PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience.
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals.
  • Experience programming in Java, C++, Python or related language.
  • Experience in algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.

Qualifications

  • Experience using Unix/Linux.
  • Experience in professional software development.

Benefits

Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

Pay

The base salary range for this position is $171,600.00 - $222,200.00 USD annually.

Schedule

We offer a flexible, hybrid work model near one of our U.S. Amazon offices.

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