Machine Learning Scientist, International Machine Learning
Amazon
Machine Learning Scientist, International Machine Learning
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 Amazon's 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 Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy solutions that directly benefit millions of Amazon customers worldwide. Whether you are exploring the frontiers of generative AI, developing next-generation recommender systems, or optimizing agentic workflows, 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. * 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 externally, contributing to advancing knowledge in the field of applied machine learning and generative AI. 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 externally, contributing to advancing knowledge in the field of applied machine learning and generative AI. About the teamOur 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.
Locations
- Australia, VIC, Melbourne, Melbourne, VIC, Australia
Salary
Estimated Salary Rangemedium confidence
150,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - Experience with programming languages such as Python, Java, C++intermediate
- - Experience in solving business problems through machine learning, data mining and statistical algorithmsintermediate
- - Experience researching, developing and implementing deep learning algorithmsintermediate
Required Qualifications
- - PhD in computer science, machine learning, engineering, or related fields (degree in computer science)
- - Experience with programming languages such as Python, Java, C++ (experience)
- - Experience in solving business problems through machine learning, data mining and statistical algorithms (experience)
- - Experience researching, developing and implementing deep learning algorithms (experience)
Preferred Qualifications
- - 3+ years of building machine learning models or developing algorithms for business application experience (experience, 3 years)
- - Strong publication record in top-tier peer-reviewed machine learning, natural language processing, or information retrieval conferences, e.g., NeurIPS, ICML, ICLR, ACL, KDD, AISTATS (experience)
- Acknowledgement of country: (experience)
- 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. (experience)
- IDE statement: (experience)
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 externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.
- 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.
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Machine Learning Scientist, International Machine Learning
Amazon
Machine Learning Scientist, International Machine Learning
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 Amazon's 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 Amazon's Research and Development organization, you will have the opportunity to push the boundaries of applied science and deploy solutions that directly benefit millions of Amazon customers worldwide. Whether you are exploring the frontiers of generative AI, developing next-generation recommender systems, or optimizing agentic workflows, 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. * 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 externally, contributing to advancing knowledge in the field of applied machine learning and generative AI. 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 externally, contributing to advancing knowledge in the field of applied machine learning and generative AI. About the teamOur 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.
Locations
- Australia, VIC, Melbourne, Melbourne, VIC, Australia
Salary
Estimated Salary Rangemedium confidence
150,000 - 220,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- - Experience with programming languages such as Python, Java, C++intermediate
- - Experience in solving business problems through machine learning, data mining and statistical algorithmsintermediate
- - Experience researching, developing and implementing deep learning algorithmsintermediate
Required Qualifications
- - PhD in computer science, machine learning, engineering, or related fields (degree in computer science)
- - Experience with programming languages such as Python, Java, C++ (experience)
- - Experience in solving business problems through machine learning, data mining and statistical algorithms (experience)
- - Experience researching, developing and implementing deep learning algorithms (experience)
Preferred Qualifications
- - 3+ years of building machine learning models or developing algorithms for business application experience (experience, 3 years)
- - Strong publication record in top-tier peer-reviewed machine learning, natural language processing, or information retrieval conferences, e.g., NeurIPS, ICML, ICLR, ACL, KDD, AISTATS (experience)
- Acknowledgement of country: (experience)
- 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. (experience)
- IDE statement: (experience)
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 externally, contributing to advancing knowledge in the field of applied machine learning and generative AI.
- 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.
Tags & Categories
Answer 10 quick questions to check your fit for Machine Learning Scientist, International Machine Learning @ Amazon.
10 Questions
~2 Minutes
Instant Score
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