Customer-obsessed科学

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2024年4月11日
一个将交通波动投射到美国地图上的动画提供了一个供应链优化技术团队如何使用数据可视化来收集见解的例子。

最近的出版物

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  • Zhizhang胡沙沙村李明杜艾丽卡阿德Arnab Dhua道格灰色
    CVPR 2024多模态学习与应用研讨会
    2024
    在电子商务应用中,视觉语言多模态变压器模型在产品搜索中起着举足轻重的作用。成功训练多模态模型的关键在于数据集中图像-文本对的对齐质量。然而,在实践中,数据通常是自动收集的,人工干预最少。因此,图像-文本对的对齐远非理想。在电子商务中,
  • Zhenlin徐易朱蒂芙尼邓Abhay米塔尔Yanbei陈Manchen王保罗Favaro乔Tighe大卫。Modolo
    CVPR 2024研讨会“多模态基础模型的下一步是什么?”
    2024
    本文提出了评估视觉语言模型(VLMs)在零射击识别中的新基准,重点关注粒度和特异性。尽管VLMs在图像字幕等任务中表现出色,但它们在开放世界环境中面临挑战。我们的基准测试测试了vlm在跨语义粒度级别理解概念方面的一致性,以及它们对不同文本特异性的响应。研究结果显示
  • 毛亚非,李雪璐,Brandon Smith,李金金,Raja Bala
    CVPR 2024年时装、艺术和设计计算机视觉研讨会
    2024
    虚拟试穿和产品个性化在现代网上购物中变得越来越重要,这凸显了对准确身材测量的需求。尽管先前的研究在从RGB图像估计3D身体形状方面取得了进展,但这项任务本身就具有模糊性,因为图像中观察到的人类受试者的尺度取决于两个未知因素:捕获距离和身体尺寸

新闻及专题

美国,华盛顿州,西雅图
JP经济学和决策科学团队正在寻找一名具有实证经济分析经验的实习经济学家,对亚马逊日本在线零售业务的营销活动进行影响评估和预测研究。成功的候选人将与团队紧密合作,提高营销活动的设计效率。我们正在寻找注重细节,有组织,有责任心的人,他们渴望学习如何处理大型和复杂的数据集。具有计量经济学和应用微观经济学知识,熟悉Stata, R或Python。有SQL经验者优先,但不是必需的。这些是全职职位,每周工作40小时,报酬按小时计算。你将在一个由经济学家、数据科学家和工程师组成的团队中工作,并与产品和财务经理合作。这些技能将很好地转化为你论文中写作应用章节,并为你提供工作经验,这可能有助于你的安置。大约85%的前一批实习生已经在亚马逊转为全职经济学工作。如果您有兴趣,请将您的简历发送到我们的邮件列表econ-internship@amazon.com。•使用回归分析来估计计量经济模型,并开发预测解决方案,以预测营销活动的有效性。•与其他经济学家和数据科学家合作,验证和完善计量经济模型。与产品经理和软件开发人员合作,将预测模型整合到活动管理系统中。监控预测模型的准确性和有效性,并在必要时进行调整。•与团队成员和利益相关者沟通您的发现和建议。生命中的一天——与商业伙伴、产品经理和技术领导者讨论,了解商业问题。-与其他科学家和经济学家进行头脑风暴,为手头的问题设计正确的模型。-针对现有问题或前瞻性问题,向领导展示结果和新想法。-深入挖掘数据。-建模和创建工作原型。-分析结果并与合作伙伴一起审核。我们是一个由经济学家、数据科学家和商业智能工程师组成的团队,为亚马逊日本的客户增长和参与(CGE)组织提供一站式数据科学支持。我们使用分析见解和产品来授权CGE,并在合作伙伴团队(例如,运营,交付体验,定价)之间协调战略决策。我们欢迎应聘者在以下地点之一工作:美国华盛顿州西雅图市
美国,西澳,贝尔维尤
The Fulfillment by Amazon (FBA) team is looking for a passionate, curious, and creative Senior Applied Scientist, with expertise in machine learning and a proven record of solving business problems through scalable ML solutions, to join our top-notch cross-domain FBA science team. We want to learn seller behaviors, understand seller experience, build automated LLM-based solutions to sellers, design seller policies and incentives, and develop science products and services that empower third-party sellers to grow their businesses. We also predict potentially costly defects that may occur during packing, shipping, receiving and storing the inventory. We aim to prevent such defects before occurring while we are also fulfilling customer demand as quickly and efficiently as possible, in addition to managing returns and reimbursements. To do so, we build and innovate science solutions at the intersection of machine learning, statistics, economics, operations research, and data analytics. As a senior applied scientist, you will propose and deploy solutions that will likely draw from a range of scientific areas such as supervised and unsupervised learning, recommendation systems, statistical learning, LLMs, and reinforcement learning. This role has high visibility to senior Amazon business leaders and involves working with other scientists, and partnering with engineering and product teams to integrate scientific work into production systems. Key job responsibilities - As a senior member of the science team, you will play an integral part in building Amazon's FBA management system. - Research and develop machine learning models to solve diverse business problems faced in Seller inventory management systems. - Define a long-term science vision and roadmap for the team, driven fundamentally from our customers' needs, translating those directions into specific plans for research and applied scientists, as well as engineering and product teams. - Drive and execute machine learning projects/products end-to-end: from ideation, analysis, prototyping, development, metrics, and monitoring. - Review and audit modeling processes and results for other scientists, both junior and senior. - Advocate the right ML solutions to business stakeholders, engineering teams, as well as executive level decision makers A day in the life In this role, you will be a technical leader in machine learning with significant scope, impact, and high visibility. Your solutions may lead to billions of dollars impact on either the topline or the bottom line of Amazon third-party seller business. As a senior scientist on the team, you will be involved in every aspect of the process - from idea generation, business analysis and scientific research, through to development and deployment of advanced models - giving you a real sense of ownership. From day one, you will be working with experienced scientists, engineers, and designers who love what they do. You are expected to make decisions about technology, models and methodology choices. You will strive for simplicity, and demonstrate judgment backed by mathematical proof. You will also collaborate with the broader decision and research science community in Amazon to broaden the horizon of your work and mentor engineers and scientists. The successful candidate will have the strong expertise in applying machine learning models in an applied environment and is looking for her/his next opportunity to innovate, build, deliver, and impress. We are seeking someone who wants to lead projects that require innovative thinking and deep technical problem-solving skills to create production-ready machine learning solutions. The candidate will need to be entrepreneurial, wear many hats, and work in a fast-paced, high-energy, highly collaborative environment. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career. About the team Fulfillment by Amazon (FBA) is a service that allows sellers to outsource order fulfillment to Amazon, allowing sellers to leverage Amazon’s world-class facilities to provide customers Prime delivery promise. Sellers gain access to Prime members worldwide, see their sales lift, and are free to focus their time and resources on what they do best while Amazon manages fulfillment. Over the last several years, sellers have enjoyed strong business growth with FBA shipping more than half of all products offered by Amazon. FBA focuses on helping sellers with automating and optimizing the third-party supply chain. FBA sellers leverage Amazon’s expertise in machine learning, optimization, data analytics, econometrics, and market design to deliver the best inventory management experience to sellers. We work full-stack, from foundational backend systems to future-forward user interfaces. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA
美国,西澳,贝尔维尤
亚马逊物流(FBA)团队正在寻找一名充满激情、好奇心和创造力的应用科学家,拥有机器学习的专业知识和经验,加入我们一流的跨领域FBA科学团队。我们希望学习卖家行为,了解卖家经验,为卖家构建基于llm的自动化解决方案,设计卖家政策和激励措施,并开发科学产品和服务,帮助第三方卖家发展业务。我们还预测在包装、运输、接收和存储库存期间可能发生的潜在的昂贵缺陷。除了管理退货和报销外,我们的目标是在发生此类缺陷之前防止此类缺陷,同时我们也尽可能快速有效地满足客户的需求。为此,我们在机器学习、统计学、经济学、运筹学和数据分析的交叉领域建立和创新科学解决方案。作为一名应用科学家,你将设计和实现机器学习解决方案,这些解决方案可能来自一系列科学领域,如监督和无监督学习、推荐系统、统计学习、法学硕士和强化学习。这个角色对亚马逊的高级业务领导有很高的可见度,需要与其他高级和主要科学家合作,并与工程和产品团队合作,将科学工作集成到生产系统中。主要工作职责-研究和开发机器学习模型,以解决各种FBA业务问题。将业务需求/问题转化为研究和应用科学家,以及工程和产品团队的具体计划。-端到端推动和执行机器学习项目/产品:从构思、分析、原型设计、开发、度量和监控。与科学家,产品经理,项目经理,软件工程师团队紧密合作,推动生产模型的实现。-为大规模数据分析、模型开发、模型验证和模型实现构建可扩展的、高效的自动化流程。-为业务利益相关者、工程团队以及高管层决策者提供技术解决方案。在这个职位上,您将从事范围大、影响大、能见度高的机器学习工作。你的解决方案可能会给亚马逊第三方卖家业务带来数十亿美元的收益或损失。作为一名应用科学家,你将参与科学发展过程的各个方面——从创意产生、商业分析和科学研究,到先进模型的开发和部署——给你一种真正的主人翁感。从第一天起,你将与经验丰富的科学家、工程师和设计师一起工作,他们热爱自己的工作。你需要对技术、模型和方法的选择做出决定。你会努力追求简单,用数学证明来证明你的判断。您还将与亚马逊更广泛的决策和研究科学界合作,拓宽您的工作视野,并指导工程师和科学家。成功的候选人将在应用环境中应用机器学习模型方面具有很强的专业知识,并且正在寻找她/他的下一个创新、构建、交付和印象深刻的机会。我们正在寻找想要领导项目的人,这些项目需要创新思维和深厚的技术问题解决能力,以创建生产就绪的机器学习解决方案。我们看重那些对自己的领域有深入了解并愿意学习新领域的高技术人才。我们寻找的是那些知道如何取得成果,并表现出自我发展、同事发展和职业发展愿望的人。亚马逊配送服务(Fulfillment by Amazon,简称FBA)是一项允许卖家将订单履行外包给亚马逊的服务,让卖家利用亚马逊世界级的设施,为客户提供Prime送货承诺。卖家可以接触到世界各地的Prime会员,看到他们的销售额上升,并且可以自由地将时间和资源集中在他们最擅长的事情上,而亚马逊则负责履行。在过去的几年里,卖家的业务增长强劲,亚马逊提供的一半以上的产品都是通过FBA运输的。FBA专注于帮助卖家自动化和优化第三方供应链。FBA卖家利用亚马逊在机器学习、优化、数据分析、计量经济学和市场设计方面的专业知识,为卖家提供最佳的库存管理体验。我们工作全栈,从基础后端系统到未来的用户界面。我们的文化以快速原型、严格的实验和数据驱动的决策为中心。我们欢迎应聘者在以下地点之一工作:美国华盛顿州贝尔维尤市
美国,华盛顿州,西雅图
对外交流公司在全球范围内为我们的客户提供及时、相关的通知(电子邮件、手机、短信和其他渠道),以提高对亚马逊产品和服务的认识和发现。我们在合适的时间和频率,以最相关的内容满足客户的偏好渠道。我们直接创建和操作市场营销活动,我们还允许选择合作伙伴团队通过重用和扩展我们的基础设施来构建程序。我们优化客户在亚马逊全球范围内接收最相关和最吸引人的内容,并应用适当的护栏来确保一致和高质量的客户体验。对外交流公司正在寻找一名有才华的应用科学家加入我们的团队,开发下一代自动化和个性化营销计划,以帮助亚马逊客户在全球范围内进行购物。今天就加入我们的使命吧!作为团队中的应用科学家,您将领导应用科学解决自动化营销领域客户问题的路线图和策略。这是一个机会,让我在第0天就来领导亚马逊最有趣的问题领域之一的科学战略——了解亚马逊的客户,以构建深度个性化和自适应的消息传递体验。您将成为多学科团队的一员,并在将业务和功能需求转化为具体的可交付成果方面发挥积极作用。您将与产品管理和软件开发团队密切合作,将解决方案投入生产。在构建可扩展的工业系统时,您将在深度学习和强化学习等领域应用您的技能。您将有一个独特的机会来生产和交付模型,这些模型有助于构建一流的客户体验,并构建允许我们以低延迟和高吞吐量部署这些模型的系统。我们欢迎应聘者在以下地点之一工作:美国华盛顿州西雅图市
美国,华盛顿州,西雅图
通用人工智能(AGI)团队正在寻找一名充满激情、才华横溢、有创造力的应用科学家,拥有强大的深度学习背景,帮助建立行业领先的多模态系统技术。作为AGI团队的应用科学家,您将与才华横溢的同行一起开发新的算法和建模技术,以推进多模态系统的最新发展。您的工作将以使用视觉和语言技术的产品和服务的形式直接影响我们的客户。您将利用亚马逊的异构数据源和大规模计算资源来加速计算机视觉中的多模态大型语言模型(llm)和生成式人工智能(Gen AI)的开发。AGI团队的使命是推动计算机视觉领域的多模式llm和Gen AI,以便为我们的客户提供最佳体验。我们欢迎应聘者在以下地点之一工作:美国华盛顿州西雅图市
GB,伦敦
经济决策科学是一个中央科学团队,在欧盟商店业务和其他领域开展各种主题的工作。我们与欧盟商业领袖密切合作,推动亚马逊的变革。我们专注于解决长期、模糊和具有挑战性的问题,同时提供咨询支持,帮助解决短期业务痛点。关键主题包括定价、产品选择、交货速度、盈利能力和客户体验。我们通过建立新的计量经济模型、机器学习系统和高影响力的实验来解决这些问题,我们将这些实验整合到商业、金融和系统级决策中。我们的工作是高度协作的,我们定期与欧盟和美国的跨学科团队合作。我们正在寻找一位高级经济学家,他能够围绕复杂的商业问题提供结构,将这些复杂问题磨练成具体的科学问题,并对这些问题进行测试以产生见解。理想的候选人将与各种科学、工程、运营和分析团队合作,在大规模数据上评估模型和算法,设计试点并测量其影响,并将成功的原型转化为大规模的改进政策和计划。如果你有创业精神,你知道如何快速交付结果,你有深度量化,高度创新的方法来解决问题,并渴望有机会为具有挑战性的问题建立开创性的解决方案,我们想和你谈谈。主要工作职责-为欧盟零售领导层面临的战略问题提供数据驱动的指导和建议-范围,设计和实施版本零(V0)模型和实验,以启动新的举措,思维,并推动整个亚马逊的系统级变革-建立长期研究议程,以理解,分解,影响商业领袖,并与亚马逊的其他科学家密切合作,以实现可衡量的进步和变革。我们欢迎招聘候选人在以下地点之一工作:伦敦,GBR
美国,华盛顿州,西雅图
我们正在努力利用法学硕士的对话能力来改善亚马逊上的购物,我们正在寻找对技术、创新和客户体验充满热情的先驱,并准备对行业产生持久的影响。你将与才华横溢的科学家、工程师合作,在亚马逊购物和AGI的范围内代表我们的客户进行创新。如果你对成为一个充满活力和动力的团队的一员感到兴奋,那么现在就是你加入我们这个激动人心的旅程的时候了!我们欢迎应聘者在以下地点之一工作:美国华盛顿州西雅图市
美国,华盛顿州,西雅图
亚马逊正在寻找一名充满激情,才华横溢,富有创造力的应用科学家,具有自然语言处理(NLP),深度学习,生成式人工智能(GenAI)的背景,以帮助建立行业领先的呼叫中心技术。理想的候选人应该在自然语言处理和机器学习方面有坚实的基础,并对推进该领域的发展有浓厚的兴趣。理想的候选人还应该喜欢在动态环境中工作,有自我激励能力来解决具有挑战性的问题,以交付大客户影响,并在开发过程中快速发布解决方案和创新。作为亚马逊AWS AI转录科学团队的一员,您将有机会构建下一代呼叫中心分析解决方案。您将与一个由科学家、软件工程师和语言工程师组成的健康团队一起研究和开发最先进的自然语言处理技术。AWS效用计算(UC)提供产品创新——从Amazon的简单存储服务(S3)和Amazon弹性计算云(EC2)等基础服务,到不断发布的新产品创新,这些创新继续使AWS的服务和功能在行业中脱颖而出。作为UC组织的一员,您将支持AWS中计算、数据库、存储、物联网(Iot)、平台和生产力应用程序服务的开发和管理,包括为需要专门的云服务安全解决方案的客户提供支持。多样化的体验AWS重视多样化的体验。即使你不符合职位描述中列出的所有资格和技能,我们也鼓励候选人申请。如果你的职业生涯刚刚开始,没有遵循传统的道路,或者包括不同的经验,不要让它阻止你申请。为什么AWS ?亚马逊网络服务(AWS)是世界上最全面、应用最广泛的云平台。我们是云计算的先驱,从未停止创新——这就是为什么从最成功的初创企业到全球500强企业的客户都信任我们强大的产品和服务套件,为他们的业务提供动力。在AWS,学习和好奇是我们的天性。我们的员工领导的亲和团体培养了一种包容的文化,使我们能够为我们的差异感到自豪。正在进行的活动和学习经验,包括我们的种族和民族对话(CORE)和亚马逊(性别多样性)会议,激励我们永远不要停止拥抱我们的独特性。我们不断提高绩效标准,努力成为全球最佳雇主。这就是为什么你会在这里找到无尽的知识共享、指导和其他职业发展资源,帮助你发展成为一个更全面的专业人士。工作与生活的平衡我们重视工作与生活的和谐。在工作上取得成功绝不能以牺牲家庭为代价,这就是为什么我们努力将灵活性作为我们工作文化的一部分。当我们在工作场所和家庭中感受到支持时,没有什么是我们不能在云上实现的。我们重视创新,并认识到这有时需要不间断的时间来专注于构建。我们也重视面对面的合作和时间。我们的团队为员工提供了每天在办公室工作的选择,或者在我们美国亚马逊办公室附近的一个灵活的混合工作模式中工作。我们欢迎应聘者在以下地点之一工作:美国华盛顿州贝尔维尤市|美国华盛顿州西雅图市
美国,华盛顿州,西雅图
The Automated Reasoning Group in AWS Platform is looking for an Applied Scientist with experience in building scalable solver solutions that delight customers. You will be part of a world-class team building the next generation of automated reasoning tools and services. AWS has the most services and more features within those services, than any other cloud provider–from infrastructure technologies like compute, storage, and databases–to emerging technologies, such as machine learning and artificial intelligence, data lakes and analytics, and Internet of Things. You will apply your knowledge to propose solutions, create software prototypes, and move prototypes into production systems using modern software development tools and methodologies. In addition, you will support and scale your solutions to meet the ever-growing demand of customer use. You will use your strong verbal and written communication skills, are self-driven and own the delivery of high quality results in a fast-paced environment. Each day, hundreds of thousands of developers make billions of transactions worldwide on AWS. They harness the power of the cloud to enable innovative applications, websites, and businesses. Using automated reasoning technology and mathematical proofs, AWS allows customers to answer questions about security, availability, durability, and functional correctness. We call this provable security, absolute assurance in security of the cloud and in the cloud. See https://aws.amazon.com/security/provable-security/ As an Applied Scientist in AWS Platform, you will play a pivotal role in shaping the definition, vision, design, roadmap and development of product features from beginning to end. You will: - Define and implement new solver applications that are scalable and efficient approaches to difficult problems - Apply software engineering best practices to ensure a high standard of quality for all team deliverables - Work in an agile, startup-like development environment, where you are always working on the most important stuff - Deliver high-quality scientific artifacts - Work with the team to define new interfaces that lower the barrier of adoption for automated reasoning solvers - Work with the team to help drive business decisions The AWS Platform is the glue that holds the AWS ecosystem together. From identity features such as access management and sign on, cryptography, console, builder & developer tools, to projects like automating all of our contractual billing systems, AWS Platform is always innovating with the customer in mind. The AWS Platform team sustains over 750 million transactions per second. Learn and Be Curious. We have a formal mentor search application that lets you find a mentor that works best for you based on location, job family, job level etc. Your manager can also help you find a mentor or two, because two is better than one. In addition to formal mentors, we work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members. Inclusion and Diversity. Our team is diverse! We drive towards an inclusive culture and work environment. We are intentional about attracting, developing, and retaining amazing talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, Amazon Women and Engineering, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more. Key job responsibilities Work closely with internal and external users on defining and extending application domains. Tune solver performance for application-specific demands. Identify new opportunities for solver deployment. About the team Solver science is a talented team of scientists from around the world. Expertise areas include solver theory, performance, implementation, and applications. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices. We are open to hiring candidates to work out of one of the following locations: Portland, OR, USA | Seattle, WA, USA
CN, 11,北京
Amazon Search JP在Amazon JP购物网站上构建了支持产品搜索的功能,并将创新扩展到全球。作为这个不断壮大的团队中的一名应用科学家,你将在改进亚马逊产品搜索服务的自然语言处理和排名能力方面发挥关键作用。我们的最终目标是帮助客户找到他们正在寻找的产品,并发现他们感兴趣的新产品。我们通过开发涵盖广泛语言和系统的NLP组件来实现这一目标。作为Search JP的应用科学家,您将在Amazon站点上设计、实现和交付搜索功能,每天帮助数百万客户快速找到他们正在寻找的内容。您将提出在NLP和IR方面的创新,以构建基于tb级产品和流量数据训练的ML模型,这些模型使用A/B测试的离线指标和在线指标进行评估。然后,您将把这些模型集成到为客户服务的产品搜索引擎中,通过数据、建模、应用程序和客户反馈完成循环。所选择的模型体系结构方法将平衡业务定义的性能指标与毫秒级响应时间的需求。主要工作职责-设计和实现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。-在全球项目中与全球团队合作。你的好处包括:-在高影响力,显眼的产品,对你的工作改善数百万客户的经验,有机会使用和创新先进的ML方法来解决实际问题与客户实实在在的影响——越来越多的团队的一部分,你可以影响团队的使命,方向,以及我们如何实现我们的目标我们愿意招聘候选人工作从以下地点:北京,11日中文|上海,31日中文