Applied Scientist — Conversational AI & NLU Innovator

Amazon Science

Santa Clara (CA)

Hybrid

USD 172,000 - 222,000

Full time

2 days ago
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Job summary

Amazon Science is seeking Applied Scientists with a strong ML background to advance NLU, dialog management, and generative AI. You will work with world-class experts to develop novel algorithms and models for language technology, impacting millions of customers.

Expect hands-on work with diverse data and large-scale computing resources, in a role that blends research with practical system-building. You will contribute to AWS conversational AI initiatives, exploring new technologies and sharing

Qualifications

  • 3+ years of building models for business application 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 any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

Responsibilities

  • The team uses generative AI and foundation models to reimagine the experience of all customers on AWS.
  • We explore new technologies and find creative solutions.
  • Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world.
  • If you are excited about this space and want to enlighten your peers with new capabilities, this is the team for you.

Skills

Machine learning
CS/CE background
Programming (Java, C++, Python)
Distributed computing
Algorithms

Education

PhD or MSc + 4+ years in CS/CE/ML

Tools

Unix/Linux

Job description

Amazon Science is seeking Applied Scientists with a strong ML background to advance NLU, dialog management, and generative AI. You will work with world-class experts to develop novel algorithms and models for language technology, impacting millions of customers.

Expect hands-on work with diverse data and large-scale computing resources, in a role that blends research with practical system-building. You will contribute to AWS conversational AI initiatives, exploring new technologies and sharing

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