Sr. Applied Scientist, Global Hiring Science

Amazon Amazon · Big Tech · Seattle, WA · Applied Science

This role focuses on applying machine learning and AI to reinvent the hiring process at Amazon, aiming for scale, sophistication, and accuracy in talent acquisition. The scientist will work on state-of-the-art research, advanced software tools, new AI systems, and ML algorithms, leveraging Amazon's tech stack to deliver innovative solutions for hiring.

What you'd actually do

  1. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms, leveraging Amazon's in-house tech stack to bring innovative solutions to life.
  2. As part of Intelligent Talent Acquisition (ITA), you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy for Amazon Talent Acquisition operations.
  3. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives.

Skills

Required

  • building machine learning models for business application
  • PhD, or Master's degree and 6+ years of applied research experience
  • programming in Java, C++, Python or related language
  • neural deep learning methods and machine learning

Nice to have

  • modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
  • large scale distributed systems such as Hadoop, Spark etc.

What the JD emphasized

  • building machine learning models for business application
  • PhD, or Master's degree and 6+ years of applied research experience
  • neural deep learning methods and machine learning

Other signals

  • building machine learning models for business application
  • state-of-the-art research
  • advanced software tools
  • new AI systems
  • machine learning algorithms