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Job Description ATE(Analytics Technology and Engineering) team is responsible for creating core analytics, science capabilities, platforms development and data engineering. We develop scalable analytics applications and research modeling to optimize operation processes.. You will work with professional software development managers, data engineers, data scientists, applied scientists, business intelligence engineers and product managers using rigorous quantitative approaches to ensure high quality data tech products for our customers around the world We are looking for an Applied Scientist to join our growing Science Team in Bangalore. As an Applied Scientist, you are able to use a range of science methodologies to solve challenging business problems when the solution is unclear. You will be responsible for building ML models to solve complex business problems and test them in production environment. The scope of role includes defining the charter for the project and proposing solutions which align with org's priorities and production constraints but still create impact . You will achieve this by leveraging strong leadership and communication skills, data science skills and by acquiring domain knowledge pertaining to the delivery operations systems. You will provide ML thought leadership to technical and business leaders, and possess ability to think strategically about business, product, and technical challenges. You will also be expected to contribute to the science community by participating in science reviews and publishing in internal or external ML conferences. Our team solves a broad range of problems that can be scaled across ROW (Rest of the World including countries like India, Australia, Singapore, MENA and LATAM). Here is a glimpse of the problems that this team deals with on a regular basis: • Using real time day signals to give ahead volume forecasting for last mile and middle mile for labour planning • proactively identifying the network fraud across various Ops entities • Building graphs based algorithms to determine collusion between Customer, Seller and Ops entities • Using LLMs to automate operations processes and working with multiple WW Science teams to bring product parity. • Using machine learning models and optimization algorithms to find optimal prices for Amazon middle-mile transportation • Using OR to design Automated planner and scheduler product. It takes forecast, site constraints, CPT/CIT, vehicle availability, transit times etc. as inputs and provides vehicle departure timings, optimal route as output to optimise truck fill rate and loaded distance travelled. One of the key requirement for Coltan to provide vehicle departure time is time of day forecast. Key job responsibilities - Lead one or two large scale high-impact projects - Implement SOTA and complex ML solutions to meet the org goals - Publish work in internal and external top-tier conferences - Provide inputs in team growth and goal planning - Educate peers/team on science best practices - Expand the use of ML within the organization. As part of our team, candidate in this role will work in close collaboration with other applied scientists and cross functional teams on high visibility projects with direct exposure to the senior leadership team on regular basis. About the team This team is responsible for applying science based algo and techniques to solve the problems in operation and supply chain. Some of these problems include, volume forecasting, capacity planning, fraud detection, scenario simulation and using LLM/GenAI for process efficiency We are open to hiring candidates to work out of one of the following locations: Bengaluru, KA, IND

Are you passionate about automation, knowledge extraction, and artificial intelligence through the use of Machine Learning, Natural Language Processing, Recommender systems, Computer Vision, and Optimization? We have a team of experienced scientists with a critical business mission making revolutionary leaps forward in these spaces. On this team you will work with an immense and diverse corpus of text, image, and audio to build generative and discriminative models, analyze and model customer reading behavior to measure engagement and detect risks, study and optimize manufacturing and fulfillment processes, and build AI-based systems for helping indie authors with marketing their books. This will involve combining methods from several science domains with domain knowledge across multiple businesses into sophisticated ML workflows. Our team has mature areas and green-field opportunities. We offer scientific autonomy, value end-to-end ownership, and have a strong customer-focused culture. Key job responsibilities As a Machine Learning Scientist at Amazon, you will connect with world leaders in your field working on similar problems. You will be working with large distributed systems of data and providing technical leadership to the product managers, teams, and organizations building machine learning solutions. You will be tackling Machine Learning challenges in Supervised, Unsupervised, and Semi-supervised Learning; utilizing modern methods such as deep learning and classical methods from statistical learning theory, detection, estimation. MLS’s are specialists with the knowledge to help drive the scientific vision for our products. They are externally aware of the state-of-the-art in their respective field of expertise and are constantly focused on advancing that state-of-the-art for improving Amazon’s products and services. Come join us as we revolutionize the book industry and deliver an amazing experience to our Kindle authors and readers. About the team Kindle Direct Publishing (KDP) and Print On Demand (POD) have empowered a new wave of self-motivated creators, tearing down barriers that once blocked writers from reaching readers. Our team builds rich applications and systems that empower anyone to realize their dream of becoming a published author. We strive to provide an experience that is powerful, yet simple to use and accessible to all. We focus on building tools that enable authors to design high quality digital and print books, reaching readers all around the world. This role will help ensure we maintain the trust of both our Authors and Readers by ensuring all books published to Amazon meet our standards. We are open to hiring candidates to work out of one of the following locations: San Diego, CA, USA

Take Earth's most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually, an exciting opportunity to build next-generation shopping experiences, Amazon’s tremendous computational resources, and our extensive e-Commerce experience. What do you get? The most exciting position in the industry. About our organization: Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as "Keep shopping for ...", "Tap to explore ...", “Customers who bought this item also bought”, and, “Frequently bought together” among others. Amazon’s internal surveys regularly recognize us as one of the best organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow. Key job responsibilities As a Sr. Applied Scientist on the team you will lead the roadmap and strategy for applying science to solve customer problems in the Personalization domain. This is an opportunity to come in on Day0 and lead the science strategy of one of the most interesting problem spaces at Amazon - understanding the Amazon customer to build deeply personalized and adaptive shopping experiences. You will be part of a multidisciplinary team, working on one of the largest scale machine learning systems in the company. You will apply your skills in areas such as deep learning and reinforcement learning while building scalable industrial systems. As a member of a highly leveraged team of talented engineers and ML scientists, you will have a unique opportunity to produce and deliver models that help build best-in-class customer experiences and build systems that allow us to deploy these models to production with low latency and high throughput. We are building the next generation of ML systems that power the biggest personalized shopping engine on earth, and we hope you will join us! About the team Our mission is to delight every Amazon customer with a personalized shopping experience. We achieve our mission through investments in large scale machine learning, distributed systems and user experience with the purpose of delivering the future of shopping on Amazon. We are seeking a Senior Applied Scientist to build out adaptive and deeply personalized shopping experiences tailored to the customer's shopping journey. We are open to hiring candidates to work out of one of the following locations: New York, NY, USA | San Francisco, CA, USA | Seattle, WA, USA

Amazon 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. Key job responsibilities - 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 goals We are open to hiring candidates to work out of one of the following locations: Beijing, 11, CHN | Shanghai, 31, CHN

Amazon Device Economics is looking for a senior economic expert in causal inference to advance the economic valuation methodologies in the Amazon Devices organization. This is a thought leadership position to help set the long-term vision, drive methods innovation, and influence cross-org methods alignment. This role is also an expert in modeling and measuring customer value with proven capacity to innovate, scale measurement, and mentor talent. This candidate will also work closely with Amazon Devices executive leadership in finance and product development to devise science roadmaps for innovation and simplification, and adoption of insights to influence important resource allocation and prioritization decisions. Excellent communication skills (verbal and written) are required to ensure success of this collaboration. The candidate must be passionate about advancing science for business and customer impact. Key job responsibilities - Advance valuation methodology within Devices, and in collaboration with centralized valuation teams. - Motivate and drive data generation to size. - Drive innovation and closed loop measurement for methods innovation. - Enable product development to scale valuation approach. A day in the life - Propose and refine valuation methodology, and review with Devices finance customers. - Brief Devices executives about valuation approaches, providing options to address strategic priorities. - Collaborate with and influence the broader scientific methodology community. About the team Amazon Devices designs and builds Amazon first-party consumer electronics products to delight and engage customers. Amazon Devices represents a highly complex space with 100+ products across several product categories (e-readers [Kindle], tablets [Fire Tablets], smart speakers and audio assistants [Echo], wifi routers [eero], and video doorbells and cameras [Ring and Blink]), for sale both online and in offline retailers in many regions. The space becomes more complex with dynamic product offerings that include new product launches, new marketplace launches, and improvements to existing devices through software improvements. The Devices Economics team leads in analyzing these complex marketplace dynamics to enable science-driven decision making in the Devices org. Device Economics achieves this by combining economic expertise with macroeconomic trends, including scientific applications for use by internal analysts and providing deep understanding of customer preferences. Our team’s outputs inform product development decisions, investments in future product categories, product pricing and promotion, and bundling across complementary product lines. We have achieved substantial impact on the Devices business, and will achieve more with the right leader in this space. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Seattle, WA, USA

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will work with talented peers to lead the development of novel algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. About the team The AGI team has a mission to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Cambridge, MA, USA | New York, NY, USA | Seattle, WA, USA | Sunnyvale, CA, USA

Are you interested in improving the customer packaging experience, reducing waste, increasing sustainability, and improving supply chain efficiency? The Amazon Mechatronics & Sustainable Packaging team is looking for an experienced, Sr. Economist to research, design, and implement of tools used to optimize packaging given multi-goals including our commitment to reaching 100% net-zero carbon by 2040. Mechatronics & Sustainable Packaging sets the global, multi-year strategic packaging vision to drive waste and cost reduction and contribute directly to Amazon’s Climate Pledge goals. Our products are public facing and provide a unique opportunity to interact with end customers on every order. Key job responsibilities Economists at Amazon are expected to work directly with other economists, scientists, and senior management on key business problems to understand customer behavior, damage to products, and optimal economic packaging choices. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA

Principal Applied Scientist, CMT, Amazon Bangalore Impact As a member of the Competitor Monitoring Team (CMT), you'll play a key role in the evolution of our Competitive Monitoring systems to solve the world's most complex technical challenges in Crawling, Large-scale computing, Product Matching, Optimization, and Prediction & Forecasting. Innovation Are you seeking an environment where you can drive innovation? Do you want to apply state-of-the-art computer science and advanced machine-learning techniques to solve real world problems of competitive data analysis? Does the challenge of solving for challenges like product matching, predicting competitor behaviour, optimizing across datasets of billions through intelligent prioritization and forecasting techniques excite you? Opportunity To meet these challenges, the CMT team is looking for passionate, talented and innovative scientists looking to work on cutting edge technology, from Natural Language Processing to Optimization to Image Processing. In addition to getting the opportunity to participate in research in several domains, you will lead the solution to complex pricing problems in an extremely agile environment. Come be part of this growing, dynamic and challenging space! Key job responsibilities * Understand in-depth the technical and scientific issues related to Natural Language Processing, Image Processing and Optimization * Develop new solutions and science best practices * Research the problem domain and develop novel approaches to solve customer problems. * Drive adoption of new science and best practices among partner teams. * Be open to experiment quickly and fail fast. * Collaborate with engineers to develop end-to-end solutions to the business problems. * Ideate on future roadmap for science in CMT, and CMT in general. We are open to hiring candidates to work out of one of the following locations: Bangalore, KA, IND

职位：Applied scientist 应用科学家实习生 毕业时间：2024年10月 - 2025年9月之间毕业的应届毕业生 · 入职日期：2024年6月及之前 · 实习时间：保证一周实习4-5天全职实习，至少持续5个月 · 工作地点：北京朝阳区酒仙桥路恒通商务园区 · 校招信息请参考校园招聘申请手册： https://amazonexteu.qualtrics.com/CP/File.php?F=F_55YI0e7rNdeoB6e 投递须知： 1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！ 2 学校的英文全称请准确填写。 如果您正在攻读计算机视觉、生成式AI或多模态领域的博士或硕士研究生，而且对应用科学家的实习工作感兴趣。 如果您也喜爱深入研究棘手的技术问题并提出解决方案，用成功的产品显著地改善人们的生活。 那么，我们诚挚邀请您加入亚马逊的International Technology自动化营销团队改善亚马逊节假日促销的用户体验。我们的目标是帮助亚马逊的客户找到他们所需的产品，并发现他们感兴趣的新产品。 这会是一份收获满满的工作。您每天的工作都与全球数百万亚马逊客户的体验紧密相关。您将提出和探索LLM和CV领域的创新，例如如何精准控制最前沿的基座大语言模型和图像生成模型以满足自动化的需求。您将集成这些模型到工具链中生成个性化的促销广告图，通过标注数据、建模和客户反馈来完成闭环。您对模型的选择需要能够平衡业务指标和响应时间的需求。 We are open to hiring candidates to work out of one of the following locations: Beijing, 11, CHN

At Amazon Brazil we value Diversity, Equity and Inclusion (DEI) in all our job positions, therefore, we act intentionally so that our internal environment reflect the plurality of the businesses we play and the customers we serve. In Brazil, we have a Diversity, Equity and Inclusion squad, which is formed by representatives from different roles and areas, as we understand that this agenda must have different perspectives and multiple experiences. Our leadership is committed and understands more and more their role in sharing and acting on our leadership principles, with the purpose of ‘Strive to Be Earth's Best Employer’. Understanding our responsibility and our need for change, we are conscientious that ‘Success and Scale Bring Broad Responsibility’ Our affinity groups are built from and by volunteers from different businesses and they are an active part of our DE&I strategies definition. Besides that, they act as ambassadors of this agenda, and they will support you from Day1. Remember, at Amazon ‘It’s always Day1’. Our groups are organized in the following fronts: BEN - Black Employee Network, Women@Amazon, Glamazon (LGBTQIA+) and People With Disabilities. For millions of customers worldwide, the Amazon name is synonymous with delivery – and the Customer Fulfillment Experience Team (CFX) team provides those customers with innovative ways to get what they want and need, enabling the choices they make on every order, every day. We combine customer impact with retail invention, solving huge technical challenges along the way. We are looking for a Senior Economist to drive innovation in Amazon's retail supply chain and help solve key business problems in operations. In this role, you will leverage state-of-the-art econometric methods to guide billion-dollar investment decisions in the Amazon Brazil. You will own, execute, and expand a research roadmap that connects science, business, and engineering and contributes to Amazon's long-term success. You'll build econometric models using our world class data systems and apply economic theory to solve business problems in a fast-moving environment. Economists at Amazon develop novel approaches to processing large data sets, solving quantitative problems, and contributing to the design of automated systems across the company. To be successful in this role, you'll need to communicate effectively, work closely with stakeholders across CFX and our partner teams, and translate data-driven findings into actionable insights. You'll thrive if you enjoy tackling ambiguous challenges using the economics toolkit and identifying and solving problems at scale. We have a supportive, fast-paced team culture, and we prioritize learning, growth, and helping each other to continuously raise the bar. Key job responsibilities • Lead data-driven econometric studies to create future business opportunities • Consult with stakeholders in Customer Fulfillment Experience and other teams to help solve existing business challenges • Independently identify and pursue new opportunities to leverage economic insights • Advise senior leaders and collaborate with other scientists to drive innovation • Support innovative delivery program growth worldwide • Write business and technical documents communicating business context, methods, and results to business leadership and other scientists We are open to hiring candidates to work out of one of the following locations: Sao Paulo, SP, BRA