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Advance the state of the art in customer-obsessed science.
Luciana Buriol is seen standing in front of a large whiteboard filled with equations, she is standing toward the center, smiling with her hands clasped behind her back
When I thought about coming to Amazon, this is what I wanted to do. It’s a huge problem, complex, and it demands that we be talking with people from different groups.
Luciana Buriol, principal research scientist

Find jobs in science

21 results found
  • AU, VIC, Melbourne
    Job ID: 2113311
    (Updated 6 days ago)
    Job summaryAmazon is looking for a creative Applied Scientist to tackle some of the most interesting problems on the leading edge of information retrieval (IR) and machine learning (ML) with our Alexa Artificial Intelligence (AI) team. Alexa AI aims to reinvent search and information retrieval for a voice-forward, multi-modal future. We enable customers to interact with unstructured and semi-structured content via a broad range of customer experiences including question answering, summarization, search, and multi-turn dialogues.Key job responsibilitiesIf you are looking for an opportunity to develop innovative solutions to deep technical problems having a massive customer impact, this might be the role for you! As an Applied Scientist, you will work with smart, passionate colleagues in a fast-paced environment. You will develop and help deploy novel, scalable algorithms to advance the state-of-the-art in technology areas at the intersection of IR and ML. You will keep up with relevant research in the field of IR and publish your work in top-tier conferences. You will contribute to a multi-year research roadmap, enabling the team to focus on the right technical challenges to delight our customers.
  • AU, NSW, Sydney
    Job ID: 2096627
    (Updated 7 days ago)
    Job summaryAmazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world!We recently launched a new AWS product, Incident Manager, focused on helping our customers drive towards 100% availability of their applications and workloads.We are looking for a talented Data Scientist to join our team. In this role, you will partner with software development engineers and product managers to perform data exploration, as well as support prototyping and development of production ready components. The goal is to identify and extract relevant insights from various types of data streams to help customers better prepare for incidents and to mitigate issues faster. Candidates should be well familiar with data exploration, statistical analysis and data visualisation, as well as best practices of training and deploying ML models, while being agile to allow quick experimentation methods.You will tackle challenging situations every day and you’ll have the opportunity to work with multiple technical teams and other scientists at Amazon. You will explore various data sources, build and use datasets of different sizes and data types, and solve issues related to data privacy and transfer learning. Along the way, you’ll join our strong development culture which includes regular tech talks, deep dive training and a passion for taking a break around a board game!If you are passionate about building high impact software with new technologies and are eager to take on and solve challenging problems while delivering an amazing customer experience, then our team is the perfect fit for you.
  • AU, VIC, Melbourne
    Job ID: 1983541
    (Updated 18 days ago)
    Job summaryAmazon is looking for a creative Applied Scientist to tackle some of the most interesting problems on the leading edge of information retrieval (IR) and machine learning (ML) with our Alexa Artificial Intelligence (AI) team. Alexa AI aims to reinvent search and information retrieval for a voice-forward, multi-modal future. We enable customers to interact with unstructured and semi-structured content via a broad range of customer experiences including question answering, summarization, search, and multi-turn dialogues.Key job responsibilitiesIf you are looking for an opportunity to develop innovative solutions to deep technical problems having a massive customer impact, this might be the role for you! As an Applied Scientist, you will work with smart, passionate colleagues in a fast-paced environment. You will develop and help deploy novel, scalable algorithms to advance the state-of-the-art in technology areas at the intersection of IR and ML. You will keep up with relevant research in the field of IR and publish your work in top-tier conferences. You will contribute to a multi-year research roadmap, enabling the team to focus on the right technical challenges to delight our customers.
  • AU, NSW, Sydney
    Job ID: 1937818
    (Updated 43 days ago)
    Job summaryMachine learning (ML) has been strategic to Amazon from the early years. We are pioneers in areas such as recommendation engines, product search, eCommerce fraud detection, and large-scale optimization of fulfillment center operations.The Amazon ML Solutions Lab team helps AWS customers accelerate the use of machine learning to solve business and operational challenges and promote innovation in their organization. We are looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help develop solutions by pushing the envelope in Time Series, Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Machine Learning (ML) and Computer Vision (CV).The primary responsibilities of this role are to:Design, develop, and evaluate innovative ML/DL models to solve diverse challenges and opportunities across industriesInteract with customer directly to understand their business problems, and help them with defining and implementing scalable ML/DL solutions to solve themWork closely with account teams, research scientist teams, and product engineering teams to drive model implementations and new algorithms
  • AU, ACT, Canberra
    Job ID: 1930402
    (Updated 6 days ago)
    Job summaryThe Amazon ML AU team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in Computer Vision and Natural Language Processing, with particular expertise in the intersection between these two fields, to a wide spectrum of areas such as Amazon Retail, Seller Services, and Online Video. You will be responsible for building a team of scientists and developers who are experienced in taking an idea to reality – from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and be experienced to develop a business plan as well as dive deep in the scientific and technical details of the technology your team is building. This team also publish our research in the best venues internationally.As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that’s higher than most projects and love the idea of solving problems that have never been solved before. You will provide thought leadership to technical and business leaders, and have a demonstrated ability to think strategically about business, product, and technical challenges.
  • AU, VIC, MELBOURNE
    Job ID: 1927832
    (Updated 36 days ago)
    Job summaryThe Amazon ML AU team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in Computer Vision and Natural Language Processing, with particular expertise in the intersection between these two fields, to a wide spectrum of areas such as Amazon Retail, Seller Services, and Online Video. You will be responsible for building a team of scientists and developers who are experienced in taking an idea to reality – from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and be experienced to develop a business plan as well as dive deep in the scientific and technical details of the technology your team is building. This team also publish our research in the best venues internationally.As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that’s higher than most projects and love the idea of solving problems that have never been solved before. You will provide thought leadership to technical and business leaders, and have a demonstrated ability to think strategically about business, product, and technical challenges.
  • AU, QLD, Brisbane
    Job ID: 1925870
    (Updated 36 days ago)
    Job summaryThe Amazon ML AU team is developing state-of-the-art, large-scale Machine Learning methods and applications involving terabytes of data. The group focuses on Deep Learning problems in Computer Vision and Natural Language Processing, with particular expertise in the intersection between these two fields, to a wide spectrum of areas such as Amazon Retail, Seller Services, and Online Video. You will be responsible for building a team of scientists and developers who are experienced in taking an idea to reality – from prototype to a customer-facing product, their career development, as well as the road map definition and prioritization for the organization. You will be expected to be heavily entrepreneurial in style and be experienced to develop a business plan as well as dive deep in the scientific and technical details of the technology your team is building. This team also publish our research in the best venues internationally.As part of this team, you will take on challenging, novel problems every day and collaborate with cross-functional teams. You'll need to be comfortable with a degree of ambiguity that’s higher than most projects and love the idea of solving problems that have never been solved before. You will provide thought leadership to technical and business leaders, and have a demonstrated ability to think strategically about business, product, and technical challenges.
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Science at Amazon around the world

Amazon scientists are working on hard problems in a variety of research areas across the globe. Click on a pin below to learn more about the customer-obsessed science being conducted at some of our global research locations.
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