Applied Scientist, Personalization & AI (LLMs/IR)

Amazon Science

Seattle (WA)

On-site

USD 143,000 - 193,000

Full time

7 days ago
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Benefits offered by this job

Health insurance including medical, 2
401(k) matching
Paid time off
Parental leave

Job summary

Amazon Science in Seattle is seeking an Applied Scientist to push state-of-the-art AI in personalization, NLP, and large language model tuning. You will work with data-rich datasets and scalable systems to build and deploy models that delight customers.

You will mentor teammates, design experiments, and partner with product teams to launch new features and improvements in a fast-paced environment.

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 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
  • Experience in designing experiments and statistical analysis of results
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals

Responsibilities

  • Research, design, and development of new AI technologies for personalization.
  • Adopt or invent new ML and analytical techniques for recommendations and NLP.
  • Collaborate with scientists, engineers, and product partners locally and abroad.
  • Invent, experiment with, and launch new features, products and systems.

Skills

3+ years building models for business
Unix/Linux experience
Professional software development
Experiment design & statistics
Data mining & ML

Education

PhD or Master's in CS/CE/ML or related field

Tools

Java
C++
Python
High-performance computing

Job description

Amazon Science in Seattle is seeking an Applied Scientist to push state-of-the-art AI in personalization, NLP, and large language model tuning. You will work with data-rich datasets and scalable systems to build and deploy models that delight customers.

You will mentor teammates, design experiments, and partner with product teams to launch new features and improvements in a fast-paced environment.

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