Machine Learning Scientist, Amazon International Machine Learning
Machine Learning Scientist, Amazon International Machine Learning
Posted on :
05-06-2025
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1 Vacancy
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Job Description
Amazon has a rare opportunity for a talented Machine Learning Scientist to join an international team of ML experts changing the way our customers experience the everything store.
At Amazons International Machine Learning team we partner with businesses across the Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on large-scale high-impact projects that leverage the latest advancements in machine learning and artificial intelligence.
As part of Amazons 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. Whether you are developing next-generation recommender systems exploring the frontiers of generative AI or tackling novel scientific challenges your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science.
Key job responsibilities
- You will take on complex problems work on solutions that either 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.
- 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
- 3 years of building machine learning models or developing algorithms for business application experience
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
At Amazons International Machine Learning team we partner with businesses across the Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on large-scale high-impact projects that leverage the latest advancements in machine learning and artificial intelligence.
As part of Amazons 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. Whether you are developing next-generation recommender systems exploring the frontiers of generative AI or tackling novel scientific challenges your work at Amazon has the power to truly change the world. Join us in this exciting journey as we redefine the present and the future of innovative applied science.
Key job responsibilities
- You will take on complex problems work on solutions that either 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.
- 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
- 3 years of building machine learning models or developing algorithms for business application experience
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process including support for the interview or onboarding process please visit for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.
Required Experience:
Intern
Employment Type
Full-Time
Key Skills
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