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Advance the state of the art in customer-obsessed science.
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I'm leading the fastest growing technology, machine learning, for the fastest moving market segment, startups, at the largest cloud provider in the world, AWS. There's no better job.
Allie Miller, global head of machine learning business development for startups and venture capital for AWS

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1,948 results found
  • US, VA, Arlington
    Job ID: 1778574
    (Updated about 5 hours ago)
    Job summaryDo you want to create the greatest-possible worldwide impact in Robotics? Amazon has the world's most exciting treasure trove of robotics challenges. The Robotics AI team at Amazon builds high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. The Robotics AI team invents and scales AI systems for robotics in fulfillment. Our mission is to enable robots to interact safely, efficiently, and fluently with the clutter and uncertainty of real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We hire and develop subject matter experts in AI with a focus on computer vision, deep learning, intelligent control, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, simultaneous localization and mapping, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks.We are seeking hands-on, Applied Scientist who will be deep in code and algorithms; who are technically strong in building scalable ML solutions using deep learning, active learning and computer vision (instance and semantic segmentation, pose estimation, activity understanding). As an Applied Scientist in Robotics AI, you will contribute to the research and development of advanced robotic systems; you will work along with other top-notch scientists and engineers to deliver the world's most scalable and robust robotic systems.In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation. A successful candidate has excellent technical depth, great communication skills, and a drive to achieve results in a collaborative team environment.You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers.Inclusive Team CultureHere at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust.FlexibilityIt isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthWe care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it.
  • US, WA, Bellevue
    Job ID: 1778491
    (Updated about 7 hours ago)
    Amazon delights customers around the world with millions of products each day. Meet the team that is transforming how quickly and conveniently Amazon delivers that delight to its customers. The Amazon Access Points team designs and builds new ways for people to get the things they order online, through a growing network of hundreds of thousands of physical pickup point locations worldwide. Our locker and counter products offer customers greater security, flexibility, and control, while reducing transportation costs and environmental footprint. Beyond customer convenience, Amazon Access Points network offers brands differentiated advertising opportunities to build awareness and convert new users through our growing advertising products.We are looking for a data scientist to work across our science team to drive the worldwide expansion of Access Points.This position will work with a highly collaborative team, and have direct influence over science roadmaps, establishment of key performance metrics, dashboards and report development. This role will be responsible for working with senior leadership and cross functional teams within Access Points and ensure a customer centric point of view in our models. They will solve real world problems and build science models to improve decision making.A day in the lifeAbout the hiring groupJob responsibilities· Help shape analytics and research roadmap and enable data-driven innovation for Access Points.· Partner closely with product and program owners, as well as scientists and engineers with a clear path to business impact.· Participate in scoping and planning of Access Points science roadmap.· Uncover drivers, impacts, and key influences on Access Points network.· Develop predictive and optimization models for key applications.· Navigate a variety of data sources, such as enterprise data, customize surveys, focus groups, and/or external data sources.· Work in expert cross-functional teams delivering on demanding projects.
  • US, CA, Sunnyvale
    Job ID: 1777530
    (Updated about 14 hours ago)
    Job summaryAlexa AI is seeking an Applied Science Manager to drive initiatives on the leading edge of Machine Learning (ML), Natural Language Processing (NLP), Question Answering (QA) and Information Retrieval (IR).Working collaboratively with scientists and engineers, you will design and implement automated, scalable NLP/ML/QA/IR models for accessing and presenting information as well as improve products and features within Alexa. This exciting opportunity will impact the customer experience, design, architecture, and implementation of a cutting-edge product.If you are an entrepreneurial, data-driven, innovative, and influential individual who thrives on solving complex ambiguous problems and building innovative solutions in a fast-paced environment working within a smart and passionate team, this might be the role for you.As an Applied Science Manager you will lead the science efforts to develop novel algorithms and modeling techniques to advance the state of the art in ML, NLP, QA and IR. You will also:· Manage a team of high caliber Applied Scientists and Software Engineers working on building world class, scalable systems· Recruit, hire, mentor, and coach scientists and engineers at different levels of experience· Manage and execute against project plans and delivery commitments within an Agile/Scrum environment· Contribute to and lead science, design, architecture, process and development discussions· Serve as a technical lead on demanding and cross-team projects, and effectively collaborating with multiple cross-organizational teams· Apply technical influence on partner teams, increasing their productivity by sharing your deep knowledge.
  • (Updated about 14 hours ago)
    Job summaryAmazon Alexa is seeking an Applied Science Manager to drive initiatives on the leading edge of Machine Learning (ML), Natural Language Processing (NLP), Information Retrieval (IR), and Speech.Working collaboratively with scientists and engineers, you will design and implement automated, scalable NLP/ML/IR models for accessing and presenting information as well as improve products and features within Alexa. This exciting opportunity will impact the customer experience, design, architecture, and implementation of a cutting-edge product that will be used every day by people you know.If you are an entrepreneurial, data-driven, innovative, and influential individual who thrives on solving complex ambiguous problems and building innovative solutions in a fast-paced environment working within a smart and passionate team, this might be the role for you.Key job responsibilitiesIn this role you will,· Manage a team of high caliber Applied Scientists and Software Engineers working on building world class, scalable systems· Recruit, hire, mentor, and coach scientists and engineers at different levels of experience· Manage and execute against project plans and delivery commitments within an Agile/Scrum environment· Contribute to and lead design, architecture, process and development discussions· Own all operational metrics and support for your team’s software· Drive improvements in software engineering practices across engineering teams
  • (Updated 1 day ago)
    There's never been a more exciting time to join Amazon Australia!Who are we and what do we do?We are a world class ML team based in Adelaide and created in April 2020 with the hire of the Director of Applied Science, Anton van den Hengel.The Amazon ML AU team is developing state-of-the-art large-scale Machine Learning methods and applications involving terabytes of data. We work on applying machine learning, and particularly computer vision, to a wide spectrum of areas such as Amazon Retail, Seller Services, and Online Video. We also publish our research in the best venues internationally.The team is high performing, learning-oriented, motivated to over-achieve, have fun, and make history. We also have access to great data, and the best computing infrastructure.About Anton van den HengelAnton was the founding Director of The Australian Institute for Machine Learning (Australia’s largest machine learning research group), and is currently the Director of the Centre for Augmented Reasoning and a Professor of Computer Science at the University of Adelaide.With over 18,000 citations and an H-index of 67, Anton is one of the worlds’ leading authorities on Computer Vision and ML.About the TeamThe vast majority of the team have PhDs in machine learning (ML) or a related area from some of the best institutions globally, including Oxford, Stanford, Edinburgh, and Imperial College London, and have published in the best places in the field including Science, NeurIPS, IEEE PAMI, and CVPR.The team includes two world-class Principal Scientists and an Amazon Scholar. We value diversity and collaboration to help each other succeed as a team.Where are we based?Although the team is mainly Adelaide based, we support flexible working options blending at home and in office from our offices inAdelaide, Sydney, Melbourne, Canberra or Brisbane.Who are we looking for?We are seeking to add talented and experienced Machine Learning Applied Scientists to our already awesome team.We are a diverse team – our team members bring many different experiences to our mission and many different types of leaders succeed here, but have a few things in common:· High level of motivation with a drive to deliver results· Analytical acumen and a passion for solving problems (many of which are complex)· Ability to make decisions in the face of ambiguity· A desire to experiment, innovate and learn from both successes and failures· Excellent communication skills: ability to work independently across all levels of the organization, both locally and globally· Enjoyment for working as a team with a strong sense of ownership and personal achievementWhat will I be working on?It’s fair to say that no two days are alike – so this position suits someone who enjoys variety and problem-solving:· Use machine learning, computer vision, data mining and statistical techniques to create new, scalable solutions for business problems· Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes· Design, develop and evaluate highly innovative models for predictive learning· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· Research, implement and publish novel machine learning and statistical approachesAdditional InformationWe have a number of current employees who split their time between lecturing at University and working for Amazon. Please let us know if this is of interest to you.We provide full visa sponsorship which is a relatively fast process as we have been successful in obtaining Distinguished Talent visas for this team (typically takes weeks rather than months).Full domestic and international relocation is also provided.About Amazon AustraliaAmazon offers great benefits including a competitive compensation and stock plan. We also look after our people with benefits including: subsidized private health and life insurance, commuter benefits and even an Amazon discount. 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 status.For up to date news covering diversity and inclusion, sustainability and community engagement, please visit: https://www.aboutamazon.com.au/
  • (Updated 1 day ago)
    There's never been a more exciting time to join Amazon Australia!Who are we and what do we do?We are a world class ML team based in Adelaide and created in April 2020 with the hire of the Director of Applied Science, Anton van den Hengel.The Amazon ML AU team is developing state-of-the-art large-scale Machine Learning methods and applications involving terabytes of data. We work on applying machine learning, and particularly computer vision, to a wide spectrum of areas such as Amazon Retail, Seller Services, and Online Video. We also publish our research in the best venues internationally.The team is high performing, learning-oriented, motivated to over-achieve, have fun, and make history. We also have access to great data, and the best computing infrastructure.About Anton van den HengelAnton was the founding Director of The Australian Institute for Machine Learning (Australia’s largest machine learning research group), and is currently the Director of the Centre for Augmented Reasoning and a Professor of Computer Science at the University of Adelaide.With over 18,000 citations and an H-index of 67, Anton is one of the worlds’ leading authorities on Computer Vision and ML.About the TeamThe vast majority of the team have PhDs in machine learning (ML) or a related area from some of the best institutions globally, including Oxford, Stanford, Edinburgh, and Imperial College London, and have published in the best places in the field including Science, NeurIPS, IEEE PAMI, and CVPR.The team includes two world-class Principal Scientists and an Amazon Scholar. We value diversity and collaboration to help each other succeed as a team.Where are we based?Although the team is mainly Adelaide based, we support flexible working options blending at home and in office from our offices inAdelaide, Sydney, Melbourne, Canberra or Brisbane.Who are we looking for?We are seeking to add talented and experienced Machine Learning Applied Scientists to our already awesome team.We are a diverse team – our team members bring many different experiences to our mission and many different types of leaders succeed here, but have a few things in common:· High level of motivation with a drive to deliver results· Analytical acumen and a passion for solving problems (many of which are complex)· Ability to make decisions in the face of ambiguity· A desire to experiment, innovate and learn from both successes and failures· Excellent communication skills: ability to work independently across all levels of the organization, both locally and globally· Enjoyment for working as a team with a strong sense of ownership and personal achievementWhat will I be working on?It’s fair to say that no two days are alike – so this position suits someone who enjoys variety and problem-solving:· Use machine learning, computer vision, data mining and statistical techniques to create new, scalable solutions for business problems· Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes· Design, develop and evaluate highly innovative models for predictive learning· Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation· Research, implement and publish novel machine learning and statistical approachesAdditional InformationWe have a number of current employees who split their time between lecturing at University and working for Amazon. Please let us know if this is of interest to you.We provide full visa sponsorship which is a relatively fast process as we have been successful in obtaining Distinguished Talent visas for this team (typically takes weeks rather than months).Full domestic and international relocation is also provided.About Amazon AustraliaAmazon offers great benefits including a competitive compensation and stock plan. We also look after our people with benefits including: subsidized private health and life insurance, commuter benefits and even an Amazon discount. 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 status.For up to date news covering diversity and inclusion, sustainability and community engagement, please visit: https://www.aboutamazon.com.au/
  • CN, 11, Beijing
    Job ID: 1776736
    (Updated 1 day ago)
    Job summaryAmazon Search JP builds features powering product search on the Amazon JP shopping site and expands the innovations to world wide. As an Applied Scientist on this growing team, you will take on a key role in improving the NLP and ranking capabilities of the Amazon product search service. Our ultimate goal is to help customers find the products they are searching for, and discover new products they would be interested in. We do so by developing NLP components that cover a wide range of languages and systems.As an Applied Scientist for Search JP, you will design, implement and deliver search features on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation in NLP and IR to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. You will then integrate these models into the production search engine that serves customers, closing the loop through data, modeling, application, and customer feedback. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times.Your responsibilities include:· Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve search matching, ranking and Search suggestion problems.· Analyzing data and metrics relevant to the search experiences.· Working with teams worldwide on global projects.Your benefits include:· Working on a high-impact, high-visibility product, with your work improving the experience of millions of customers· The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems with tangible customer impact· Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goalsAmazon Search JP负责在Amazon JP购物网站上开发产品搜索功能,并将这些创新扩展到全球。作为这个快速发展中的团队的应用科学家,您将在改善NLP和Amazon产品搜索的体验方面发挥关键作用。我们的最终目标是帮助客户找到他们想要的产品,并发现他们感兴趣的新产品。我们通过开发涵盖多种语言和系统的NLP组件来达成目标。作为Search JP的应用科学家,您将在Amazon网站上设计和实现搜索功能,帮助数百万客户快速找到他们想要的内容。您将基于TB级的产品和流量数据提出NLP和IR领域的创新,构建机器学习模型,并使用离线指标以及A / B测试在线指标进行效果评估,然后将模型集成到面向客户的生产搜索引擎中,从而通过数据,建模,应用,和模型选择完成上线。您的模型同时需要平衡业务指标和毫秒级响应时间的要求。您的职责包括:•设计和实施新功能和机器学习模型,包括应用最先进的深度学习来解决搜索匹配,排名和搜索建议问题。•分析与搜索体验相关的数据和指标。•与全球团队合作开展全球项目。您的收获包括:•通过开发有高度影响力的产品改善数百万客户的体验•有机会使用和创造最新的机器学习方法来解决重要现实问题•作为成长中的团队的一员,我们将共同定义团队的使命,方向以及如何实现目标
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