Machine Learning Innovator for Conversational AI Systems

5 days ago


Santa Clara, California, United States Amazon Full time

About the Role

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As a Machine Learning Innovator on our team, you will have the opportunity to work alongside internationally recognized experts in Natural Language Understanding (NLU), Dialog Management, and Conversational AI. Your primary focus will be to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology.

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What You'll Do

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  • Design, develop, and deploy large-scale machine learning models for conversational AI systems">
  • Collaborate with cross-functional teams to integrate ML models into Amazon's conversational AI products">
  • Stay up-to-date with the latest advancements in NLP and ML research, and apply this knowledge to drive innovation in our solutions">
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Why It's a Great Opportunity

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You will have the chance to make a significant impact on millions of customers through your work on conversational AI systems. Our team is passionate about using language technology to provide delightful experiences to Amazon customers.

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Your Background

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We are looking for talented individuals with a strong background in machine learning, particularly in areas such as NLP, dialog management, and conversational AI. A PhD or Master's degree in a relevant field, along with 4+ years of experience in building models for business applications, is required. Additionally, experience in patent publications at top-tier peer-reviewed conferences or journals is highly desirable.

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Compensation

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The base pay for this position ranges from $136,000/year in our lowest geographic market up to $222,200/year in our highest geographic market. We offer a total compensation package that includes equity, sign-on payments, and other forms of compensation, in addition to a full range of medical, financial, and/or other benefits.

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Becoming Part of Our Team

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At Amazon, we value diversity and inclusion. We believe that different perspectives and ideas drive innovation and growth. If you are excited about this space and want to contribute to shaping the future of language technology, we encourage you to apply.



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