Careers

We are seeking a passionate, talented, and inventive individual to join the Applied AI team and help build industry-leading technologies that customers will love. This team offers a unique opportunity to make a significant impact on the customer experience and contribute to the design, architecture, and implementation of an innovative product. Key job responsibilities On our team you will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. We are seeking an experienced Scientist who combines superb technical, research, analytical and leadership capabilities with a demonstrated ability to get the right things done quickly and effectively. This person must be comfortable working with a team of top-notch developers and collaborating with our research teams. We’re looking for someone who innovates, and loves solving hard problems. You will be expected to have an established background in building highly scalable systems and system design, great communication skills, and a motivation to achieve results in a fast-paced environment. You should be somebody who enjoys working on complex problems, is customer-centric, and feels strongly about building good software as well as making that software achieve its operational goals. A day in the life You will be responsible for developing and maintaining the systems and tools that enable us to accelerate knowledge operations and work in the intersection of Science and Engineering. You will push the boundaries of ML and Generative AI techniques to scale the inputs for hundreds of billions of dollars of annual revenue for our eCommerce business. If you have a passion for AI technologies, a drive to innovate and a desire to make a meaningful impact, we invite you to become a valued member of our team. About the team The mission of the Applied AI team is to enable organizations within Worldwide Amazon.com Stores to accelerate the adoption of AI technologies across various parts of our business. We are looking for an Applied Scientist to join our Applied AI team to work on LLM-based solutions.

Have you ever wondered how Amazon designs and builds its vast transportation and supply chain network? Do you get excited about optimizing global supply chain operations to reduce costs and enhance efficiency? If you thrive in a fast-paced environment and are eager to make a significant impact on a global scale, we want to hear from you! We are the Intelligence & Industrialization (I&I) team within the Global Supply Chain and Transportation Procurement/ Amazon Customs & Trade (GSCTP/ ACT) organization, at the forefront of 3P transportation logistics procurement and customs & trade operations. We are seeking an experienced and talented data scientist passionate about applying science and machine learning techniques to uncover actionable insights for business decision-making. Examples of these decisions include configuring contractual stipulations, negotiating optimal terms with vendors, and minimizing trade penalty risks and operational delays in customs clearance. The successful candidate must work from concept to execution with minimal guidance, influence system and process changes with science thought leadership, and make trade-off recommendations for short-term vs. long-term business needs. Key job responsibilities - Work closely with business stakeholders to identify data science use cases, build consensus on project priorities based on data availability, science applicability, implementation challenges, and business impact. - Lead large data science projects with significant business impact, requiring expertise in both business and technical domains. - Conduct advanced statistical analyses to uncover causal and other relationships among business metrics and operational characteristics. - Design and develop robust forecasting models for freight rates, customer demand, and transportation capacity across various dimensions such as geography and mode. - Build and implement robust ML models for customer segmentation, profitability maximization, performance outlier identification, and risk prediction. - Leverage state-of-the-art LLM models to build AI tools that reduce manual processes and increase business productivity, such as extracting key terms from vendor contracts, answering SOP and business review questions, and writing narratives and executive summaries. - Educate non-technical business audience on complex modeling concepts, and explain modeling results, implications, and performance in an accessible manner. - Collaborate with BIEs, DEs, and other scientists to design and implement end-to-end software solutions powered by science - Coach junior scientists and mentor fellow data team members in data science best practices, methodologies, techniques, and trends. About the team The Intelligence & Industrialization (I&I) Team is a functional data analytics sub team embedded across GSCTP & ACT. Global Supply Chain and Transportation Procurement (GSCTP) is an organization under worldwide operations that manages over 100 third-party supply chain and transportation service providers for Amazon; holding strategic relationships with major providers across modes of transportation, and responsible for an annual spend in excess of $22B. GSCTP’s mission is to secure capacity from third-party providers, increase cost efficiencies of the business, expand supplier capabilities, and improve the quality of our products and services. Amazon Customs & Trade (ACT) is an expanding business unit under worldwide operations for Customs Brokerage services. Customs brokerage involves the coordination of a complex network of sellers, shippers, logistics service providers (LSP), compliance, and government authorities to facilitate clearance of goods for cross-border transportation. Timely submission of documents and coordination with customs agents to ensure hassle free clearance of shipments is a crucial step in the logistics process to ensure on-time delivery of products to our customers.

The Automated Reasoning Group is looking for an Applied Scientist with interest in building scalable machine learning systems. You will be part of a world-class team building the next generation of neuro-symbolic tools and services by combining Automated Reasoning and Machine Learning. 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 AI, 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 neuro-symbolic applications that employ scalable and efficient approaches to solve complex problems using Automated Reasoning and Machine Learning * 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 help drive business decisions Key job responsibilities * Design and implement scalable neuro-symbolic systems using automated reasoning and machine learning. * Collaborate closely with internal and external users to understand their requirements for AI agents and guardrails. * Proactively identify and explore new opportunities for deploying and leveraging neuro-symbolic solutions across various domains. About the team 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. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. 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. 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. Mentorship and 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. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred 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.

External job description As a Applied Scientist, you will be responsible for assessing and optimizing the performance and reliability of our new and emerging category of devices – Kuiper Customer Terminal. Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to un-served and under-served communities around the world. In this role, you will use expertise in physical sciences, theoretical, numerical or empirical techniques to create scalable models representing response of physical systems or devices, including: - Applying domain scientific expertise towards developing innovative analysis and tests to study viability of new materials, designs or processes - Working closely with engineering teams to drive validation, optimization and implementation of hardware design or software algorithmic solutions to improve product and customer risks - Establishing scalable, efficient, automated processes to handle large scale design and data analysis - Conducting research into use conditions, materials and analysis techniques - Tracking general business activity including device health in field and providing clear, compelling reports to management on a regular basis - Developing, implementing guidelines to continually optimize design processes - Using simulation tools like LS-DYNA, and Abaqus for analysis and optimization of product design - Using of programming languages like Python and Matlab for analytical/statistical analyses and automation - Demonstrating strong understanding across multiple physical science domains, e.g. structural, thermal, fluid dynamics, and materials - Developing, analyzing and testing structural solutions from concept design, feature development, product architecture, through system validation - Supporting product development and optimization through application of analysis and testing of complex electronic assemblies using advanced simulation and experimentation tools and techniques

Are you excited about solving complex business problems at scale through Generative Artificial Intelligence (GenAI)? Are you fascinated about the application of Large Language Models (LLMs) on real-life scenarios? Are you looking to invent solutions using Artificial Intelligence (AI)? If so, we are looking for you to fill a challenging position on Amazon's Trustworthy Shopping Experience (TSE) team. At TSE, our vision is to guarantee customers a worry-free shopping experience by earning their trust that the products they buy are safe, authentic, and compliant with regulations and policy, and giving them the confidence that Amazon stands behind every product and will make it right in the rare chance anything goes wrong. We do this in close partnership with our selling partners and empower them with best-in-class tools and expertise required to offer a high-quality selection of compliant products that customers trust. When we do this consistently, we help selling partners grow their business and power their long-term success. As a Senior Applied Scientist on the team, you will be responsible for delivering the science solutions required to automate complex manual investigation processes, especially by leveraging LLMs. You will handle Amazon scale use-cases with significant impact to the cost of serving Customers. Key job responsibilities - You invent and design new solutions for scientifically-complex problem areas and/or opportunities in existing or new business initiatives. - You design experiments and define the science approach to solve critical business use-cases for automating manual work that involves unstructured text, documents, images, symbols, etc. - Your work focuses on ambiguous problem areas at the product level, where the business problem or opportunity may not yet be crisply defined. - You drive or heavily influence the design of scientifically-complex software solutions or systems, for which you personally write significant parts of the critical scientific novelty. - You provide a system-wide view and design guidance for solutions that can be brand new or evolve from existing ones. - You apply and set the example for best practices in software engineering, and systematically peer review code written by your team members. - You set standards and proactively drive components to use and improve on state-of-the-art techniques. - You autonomously drive thoughtful discussions with customers, engineers, and scientist peers, and build consensus on larger projects and factor complex efforts into independent tasks that can be performed by you and others. About the team Investigation technology Product team in TSE is responsible for the human-in-the-loop products and technology used in the risk investigations at Amazon. The team is also responsible for reducing the cost of performing the investigations, by automating wherever possible and optimizing the experience where manual interventions are needed. The team leverages state-of-the art technology and GenAI to deliver the products and associated goals.

Have you ever wondered how Amazon selects the offer(s) for a given product from potentially hundreds of sellers selling the same item? It is one of the most critical models in Amazon and one of the most visible ones on the web. Whenever you see price, anywhere on Amazon, in any locale, it is calling this model at the backend. This is an opportunity to work with the team, Featured Merchant Algorithm, that develops and maintains this model. It drives one of the most coveted real estate in the e-commerce industry, the “Offer Display” across all surfaces (mobile app, mobile web, desktop, Alexa shopping) worldwide. The team's vision is to simplify Amazon shopping experience by helping customers discover and evaluate offers to find the right option for their shopping journey. We use Machine Learning models to select, rank and feature the most relevant offers to customers. Our model serves hundreds of millions of Amazon customers, handles millions of requests per second for hundreds of millions of products and billions of offers across the world. We are looking for an Applied Scientist to join this high impact, high visibility team. You will lead the development and expansion of the next generation of the featured offer selection models. These new models will incorporate the continually changing preferences of our customers and continue to scale with numerous new programs that Amazon is introducing for our customers. You will work with multiple Amazon businesses and programs to identify big business opportunities and propose new business features and technical systems to improve customer experience. As a team, we own the end-to-end life cycle of models – estimation, simulation and experimentation. We work in the interface of Artificial Intelligence, Statistics and Econometrics. Your work will cut across various sub-disciplines like Causal Inference, Bayesian Modeling, Deep Learning, Counterfactual Estimation and Evaluation, Multi-armed Bandits, and High-dimensional Multivariate Experiments. You will be responsible for the quality of the model and will get the opportunity to present your ideas and share results of your deliverables with Amazon executives and Amazon scholars on a regular basis. As a senior scientist, you will be collaborating with junior scientists to define and enforce broad, company-wide technical standards in statistical modeling, optimization and simulation techniques. Why is this a great opportunity? - We impact the global Amazon retail business: We are at the center of Amazon's retail universe. As a part of the broader Buying Experience org, we work closely with other Retail teams like Search, Pricing, Cart, Checkout, Delivery Experience, Ultra Fast Grocery, Subscribe-n-Save, etc. We build systems that are used every time a customer sees any item on the Amazon website (globally) and help them in making purchase decisions. As a result, we constantly strive to earn and preserve the customer trust. Our impact is typically measured in hundreds of millions of dollars. - We are diverse: Our team is diverse in terms of expertise (SDE/Scientists/Economists/Data Engineer/Product Manager), nationality (10 countries), experience (college graduate to industry veteran), tech-stacks (AWS, Datapath), and office locations (Seattle, Bangalore, Berlin, Vancouver). - We prioritize learning: Work alongside some of Amazon’s smartest engineers, scientists, economists, and product managers. We have one Principal Economist and two Principal SDE in the team to learn from. We regularly take ML courses and present/teach at internal and external forums. We innovate, publish, and file patents. We regularly review our models with academics like Michael Jordan, Guido Imbens, and Alberto Abadie. - We ensure work-life balance: Our team works together to provide work-life harmony for all team members. We recognize that the circumstances of our team members vary, and we balance work across the team so that we are all able to maintain high standards on behalf of our customers, while at the same time allowing for rich and happy personal lives. - We have fun: We find ways to relax and unwind with team events and group lunches. If you are ready to truly make an impact on a product that is used by hundreds of millions of people around the world, including your own friends and family, then we would love to talk to you. Key job responsibilities - Influence: Drive the scientific vision of the team. Present ideas to the senior leadership, build consensus, lead cross-org collaborations, and mentor junior engineers and scientists. - Execution: Deliver tactical solutions with strategic thinking to create reusable scientific components, resolving immediate challenges while building for future scalability. - Knowledge: Keep abreast of the trends in academia and industry – know the state-of-the-art. Publish papers and file patents to contribute to the broader scientific community inside and outside the company. - Scientific complexity: Innovate and extend scientific methods to address customers’ needs or business problems. - Engineering complexity: Partner with engineering to transform complex technical requirements into production solutions while optimizing performance tradeoffs. - Technical judgement: Be a pragmatic problem solver, applying judgment and experience to balance the technical trade-offs and how the applied scientific solution is positioned with respect to the state-of-the-art.

Are you interested in shaping the future of movies and television? Do you want to define the next generation of how and what Amazon customers are watching? Prime Video is one of the world’s leading digital video services, and we’re just getting started changing the way millions of people around the world enjoy content. Now available in more than 200 countries and territories, Prime Video offers customers the broadest selection of any on-demand video service, including our critically-acclaimed Amazon Originals Series such as The Boys, The Marvelous Mrs. Maisel, The Underground Railroad; UK-produced hit Amazon Original series like Good Omens, The Grand Tour, All or Nothing: Tottenham Hotspur and forthcoming drama series like The Power, Jungle and The Rig; exclusive TV shows like Nine Perfect Strangers and Little Fires Everywhere; and movies like Coming 2 America, Borat Subsequent Moviefilm and Without Remorse plus live sport including ATP and WTA Tour and US Open Tennis, Autumn Nations rugby and Premier League football. Amazon Studios is the movies and television development and production arm of Amazon. It is our role to produce original content and license studio programs worldwide in exclusive service of Amazon’s Prime Video customers. We need your passion, innovative ideas, and creativity to help take us to new heights. Do you want to work at the intersection of Engineering, Machine Learning, Data Science, and GenAI? Do you like inventing, growing and learning from the world-class engineers and scientists? If so, we want to hear from you! We are seeking a seasoned senior scientist with expertise in computer vision to join the Amazon Studios AI Labs team. This is a hybrid applied science and engineering team that is developing bleeding edge AI solutions to enhance efficiency, elevate creativity, and ultimately redefine industry standards, ensuring that every decision is accelerated by intelligence and foresight. We need your passion, innovative ideas, and creativity to help take us to new heights. Key job responsibilities We are looking for a Senior Applied Scientist with domain expertise in Computer Vision who wil lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go. A day in the life As a senior applied scientist at Amazon, you'll be diving deep into groundbreaking computer vision and ML challenges. Your typical day involves architecting large-scale ML systems, collaborating with cross-functional teams, and mentoring junior scientists. You'll start with stand-ups, then transition to developing novel CV algorithms for product features impacting millions of customers. Afternoons often include technical deep-dives, reviewing research papers, and driving technical strategy discussions with leadership. You'll work with massive datasets, optimize model performance, and ensure production readiness. We value your ability to balance scientific innovation with practical business impact while maintaining Amazon's high technical bar. #AmazonCareers #MachineLearning #ComputerVision About the team This role is in a team that is building a new family of AI products for Amazon Studios. This team is considered strategic and has visibility with Prime Video Amazon Studios leadership at the highest levels. The role offers a chance to build and launch new AI services from the ground up, contribute to exceeding the state of the art in computer vision (CV) and machine learning (ML) technology, and work closely with an exceptional group of product, engineering, and science leaders.

Amazon's Pricing and Promotions Science is seeking a strong Applied Scientist II for work on deep causal learning. This work provides business-critical insights into pricing strategies that are of interest to Amazon's most senior leaders. We are looking for a talented, technically skilled scientist with a strong sense of ownership and drive to join the Impact Intelligence team. This team's charter is to build causal models that (a) provide entitlements of key business programs, and (b) generate trustworthy signals for use in a multitude of downstream ML systems that have visible impact on the customer experience worldwide. Key job responsibilities - Build scalable solutions. We operate on large-scale data to drive insights from complex environments. - Approach with rigor. Due to the lack of ground truth inherent in causal questions, we expect our scientists to maintain high standards on the care put into their models. - Stay current. We obsess over what resources we can use to iterate on our model designs, and we expect our scientists to stay up-to-date with the latest approaches to causal learning.

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and innovative principal applied scientist with a strong background in deep learning, to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Senior Applied Scientist within the AGI team, you will work with world-class scientists and engineers to develop novel data, modeling and engineering solutions to support the responsible AI initiatives at AGI. Your work will directly impact our customers in the form of products and services that make use of AI technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in AGI in order to provide the best-possible experience for our customers. About the team Our team has a mission to push the envelope of AGI, in order to provide the best-possible experience for our customers.

Do you want a role with deep meaning and the ability to have a global impact? Hiring top talent is not only critical to Amazon’s success – it can literally change the world. It took a lot of great hires to deliver innovations like AWS, Prime, and Alexa, which make life better for millions of customers around the world. As part of the Intelligent Talent Acquisition (ITA) team, you'll have the opportunity to reinvent Amazon’s hiring process with unprecedented scale, sophistication, and accuracy. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals, and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year, we delivered over 6 million online candidate assessments, driving a merit-based hiring approach that gives candidates the opportunity to showcase their true skills. Each year we also help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates in the right quantity, at the right location, at exactly the right time. You’ll work on state-of-the-art research with advanced software tools, new AI systems, and machine learning algorithms to solve complex hiring challenges. Join ITA in transforming Amazon's hiring landscape and making a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems. Within ITA, the Global Hiring Science (GHS) team designs and implements innovative hiring solutions at scale. We work in a fast-paced, global environment where we use research to solve complex problems and build scalable hiring products that deliver measurable impact to our customers. We are seeking selection researchers with a strong foundation in hiring assessment development, legally-defensible validation approaches, research and experimental design, and data analysis. Preferred candidates will have experience across the full hiring assessment lifecycle, from solution design to content development and validation to impact analysis. We are looking for equal parts researcher and consultant, who is able to influence customers with insights derived from science and data. You will work closely with cross-functional teams to design new hiring solutions and experiment with measurement methods intended to precisely define exactly what job success looks like and how best to predict it. Key job responsibilities What you’ll do as a GHS Research Scientist: - Design large-scale personnel selection research that shapes Amazon’s global talent assessment practices across a variety of topics (e.g., assessment validation, measuring post-hire impact) - Partner with key stakeholders to create innovative solutions that blend scientific rigor with real-world business impact while navigating complex legal and professional standards - Apply advanced statistical techniques to analyze massive, diverse datasets to uncover insights that optimize our candidate evaluation processes and drive hiring excellence - Explore emerging technologies and innovative methodologies to enhance talent measurement while maintaining Amazon's commitment to scientific integrity - Translate complex research findings into compelling, actionable strategies that influence senior leader/business decisions and shape Amazon's talent acquisition roadmap - Write impactful documents that distill intricate scientific concepts into clear, persuasive communications for diverse audiences, from data scientists to business leaders - Ensure effective teamwork, communication, collaboration, and commitment across multiple teams with competing priorities A day in the life Imagine diving into challenges that impact millions of employees across Amazon's global operations. As a GHS Research Scientist, you'll tackle questions about hiring and organizational effectiveness on a global scale. Your day might begin with analyzing datasets to inform how we attract and select world-class talent. Throughout the day, you'll collaborate with peers in our research community, discussing different research methodologies and sharing innovative approaches to solving unique personnel challenges. This role offers a blend of focused analytical time and interacting with stakeholders across the globe.