Machine Learning Expert

2 weeks ago


Melbourne, Victoria, Australia Amazon Full time

Machine Learning Scientist Role

Amazon is seeking a talented Machine Learning Scientist to partner with businesses across the Amazon ecosystem and drive innovation in machine learning and artificial intelligence.

As part of Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy cutting-edge solutions that directly benefit millions of Amazon customers worldwide.

Key Responsibilities

  • You will take on complex problems, work on solutions that leverage or extend existing academic and industrial research, and utilize your own out-of-the-box pragmatic thinking.
  • In addition to coming up with novel solutions and building prototypes, you will deliver these to production in customer-facing applications, in partnership with product and development teams.
  • You will publish papers internally and/or externally, contributing to advancing knowledge in the field of information retrieval and machine learning.

About the Team

Our team is composed of scientists with PhDs, with a strong publication profile and an appetite to see the impact of innovation on real-world systems at scale.

Basic Qualifications

  • PhD in computer science, electrical engineering, or related field
  • Experience building machine learning models or developing algorithms for business application
  • Experience in solving business problems through machine learning, data mining, and statistical algorithms
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals

Preferred Qualifications

  • 3+ years of building machine learning models or developing algorithms for business application experience

Amazon's Commitment to Diversity and Inclusion

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.



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