Senior Applied Scientist — Personalization & Recommendations

Amazon

Seattle, Northern (WA, KY)

Hybrid

USD 167,000 - 226,000

Full time

16 hours ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave
Flexible Spending Accounts

Job summary

Amazon.com Services LLC is seeking an Applied Scientist to design and deploy high-volume ML models that tailor product recommendations on Amazon’s retail site. You will translate customer behavior into accurate predictive models, evaluate performance with rigorous metrics, and collaborate across teams to improve user experience.

The role requires strong deep learning and ML development skills, leadership to mentor others, and a track record of delivering production-quality models in distributed

Qualifications

  • 4+ years of building machine learning models for business applications.
  • PhD, or Master's degree and 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

  • Ask research questions about customer behavior and build state-of-the-art models to generate recommendations.
  • Run models directly on the Amazon retail website and measure impact with scientific tools.
  • Mentor Applied Scientists and software development engineers with ML expertise.

Skills

ML modeling
Java
Python
C++
Deep learning

Education

PhD
Master's degree

Tools

R
scikit-learn
Spark MLLib
MxNet
TensorFlow
numpy
scipy

Job description

Amazon.com Services LLC is seeking an Applied Scientist to design and deploy high-volume ML models that tailor product recommendations on Amazon’s retail site. You will translate customer behavior into accurate predictive models, evaluate performance with rigorous metrics, and collaborate across teams to improve user experience.

The role requires strong deep learning and ML development skills, leadership to mentor others, and a track record of delivering production-quality models in distributed

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