GenAI & Multimodal Scientist, Scale Product Catalog

Amazon

Seattle (WA)

On-site

USD 167,100 - 226,100

Full time

14 days+
Application generator

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off

Job summary

Amazon is seeking an innovative Applied Scientist in Seattle, WA to enhance its product catalog using Generative AI and cutting-edge ML algorithms. Responsibilities include formulating research problems, designing ML models, and mentoring peers in techniques addressing product identity and relationships. Candidates should have 4+ years of research experience with strong programming skills in Java, C++, or Python. The position offers a competitive salary between $167,100 and $226,100 annually, along with comprehensive health benefits and a commitment to inclusion.

Qualifications

  • 4+ years of applied research experience.
  • Experience programming in Java, C++, Python or related language.
  • Experience with neural deep learning methods and machine learning.

Responsibilities

  • Formulate research problems at the intersection of GenAI and information retrieval.
  • Design and implement models to solve product identity and relationship inference.
  • Mentor peer scientists on advanced ML techniques.

Skills

Applied research
Machine learning model building
Programming (Java, C++, Python)
Neural deep learning methods
Statistical analysis

Education

PhD or Master's with 6+ years of applied research

Tools

Generative AI techniques
Visual Language Models
Multimodal transformers

Job description

Amazon is seeking an innovative Applied Scientist in Seattle, WA to enhance its product catalog using Generative AI and cutting-edge ML algorithms. Responsibilities include formulating research problems, designing ML models, and mentoring peers in techniques addressing product identity and relationships. Candidates should have 4+ years of research experience with strong programming skills in Java, C++, or Python. The position offers a competitive salary between $167,100 and $226,100 annually, along with comprehensive health benefits and a commitment to inclusion.
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