Applied Scientist II - Conversational AI & LLMs (Hybrid)

Amazon Web Services (AWS)

Santa Clara (CA)

On-site

USD 172,000 - 222,000

Full time

14 days+
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Benefits offered by this job

Health insurance and RSUs
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Development Center U.S., Inc. seeks an Applied Scientist with a strong machine learning background to build industry-leading Conversational AI systems in Santa Clara, CA.

You will work with internationally recognized experts to develop novel algorithms for state-of-the-art language technology and wield large-scale computing resources to accelerate advances in NLU and dialog models. You will gain hands-on experience with heterogeneous data and contribute to products that impact millions of

Qualifications

  • 3+ years of building models for business applications.
  • PhD or Master’s with 4+ years in CS/CE/ML.
  • Experience with patents or publications at top-tier venues.
  • Proficient in Java, C++, or Python.
  • Experience with algorithms and data structures, parsing, numerical optimization, parallel and distributed computing.

Responsibilities

  • Develop novel algorithms and modeling techniques for language technology.
  • Collaborate with experts to advance state-of-the-art in NLU and dialog systems.
  • Apply ML models to large-scale text and structured data.
  • Contribute to research publications and internal knowledge sharing.

Skills

Model development
Programming in Java/C++/Python
Publications/Patents
Algorithms

Education

PhD or Master’s with 4+ years CS/CE/ML

Tools

Unix/Linux

Job description

Amazon Development Center U.S., Inc. seeks an Applied Scientist with a strong machine learning background to build industry-leading Conversational AI systems in Santa Clara, CA.

You will work with internationally recognized experts to develop novel algorithms for state-of-the-art language technology and wield large-scale computing resources to accelerate advances in NLU and dialog models. You will gain hands-on experience with heterogeneous data and contribute to products that impact millions of

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