Senior Applied Scientist, Personalization & Discovery AI

Prime Video & Amazon MGM Studios

Sunnyvale (CA)

On-site

USD 192,000 - 260,000

Full time

20 hours ago
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Job summary

Amazon.com Services LLC is seeking an Applied Scientist for Prime Video Search in Sunnyvale, CA. You will lead hands-on ML projects, build models, and drive end-to-end AI solutions affecting millions of customers.

You will collaborate with product managers and engineers, publish findings, and push the state of the art in search and media recommendations. The role is full-time with competitive compensation and benefits.

Qualifications

  • PhD or Master’s degree with 6+ years of applied research experience.
  • 4+ years of building machine learning models for business applications.
  • Experience programming in Java, C++, Python or related language.
  • Experience with neural deep learning methods and machine learning.

Responsibilities

  • Develop AI solutions for Prime Video Search systems using Deep learning, GenAI, Reinforcement Learning, and optimization methods.
  • Collaborate with engineers and product managers to design, implement and launch AI solutions end-to-end.
  • Design and conduct offline and online (A/B) experiments to evaluate solutions based on data analyses.
  • Effectively communicate technical and non-technical ideas with teammates and stakeholders.
  • Stay up-to-date with advancements and modeling techniques in the field.
  • Publish research findings in top conferences and journals.

Skills

Java
C++
Python
Deep learning

Education

PhD or Master’s degree

Tools

R
scikit-learn
Spark MLLib
MxNet
TensorFlow
NumPy
SciPy

Job description

Amazon.com Services LLC is seeking an Applied Scientist for Prime Video Search in Sunnyvale, CA. You will lead hands-on ML projects, build models, and drive end-to-end AI solutions affecting millions of customers.

You will collaborate with product managers and engineers, publish findings, and push the state of the art in search and media recommendations. The role is full-time with competitive compensation and benefits.

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