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Machine learning scientist, international machine learning

Amazon
Posted: 22 January
Offer description

This is a Machine Learning Scientist, International Machine Learning role with Amazon based in Melbourne, VIC, AU Amazon Role Seniority - mid level More about the Machine Learning Scientist, International Machine Learning role at Amazon We are scaling an advanced team of talented Machine Learning Scientists in Melbourne. This is your chance to join our a wider international community of ML experts changing the way our customers experience Amazon. Amazon's International Machine Learning team partners with businesses across the diverse Amazon ecosystem to drive innovation and deliver exceptional experiences for customers around the globe. Our team works on a wide variety of high-impact projects that deliver innovation at global scale, leveraging unrivalled access to the latest technology, whilst actively contributing to the research community by publishing in top machine learning conferences. 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. 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 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, machine learning, engineering, or related fields - Experience with programming languages such as Python, Java, C++ - Experience in solving business problems through machine learning, data mining and statistical algorithms - Experience researching, developing and implementing deep learning algorithms - 3 years of building machine learning models or developing algorithms for business application experience - Strong publication record in top-tier peer-reviewed machine learning, natural language processing, computer vision, or information retrieval conferences, e.g., NeurIPS, ICML, ICLR, AISTATS, ACL, ICCV, CVPR, KDD. 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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the Amazon team will be there to support your growth. Please consider applying even if you don't meet 100% of what’s outlined Key Responsibilities Solving complex problems Building prototypes Publishing research Key Strengths Machine Learning Programming Languages Deep Learning Algorithms Publication Record ✨ Generative AI Recommender Systems A Final Note: This is a role with Amazon not with Hatch.

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