Careers

We are looking for an Applied Scientist that will develop scientific algorithms, and deploy Large Language Model (LLM) solutions to improve the customer experience and support driver needs. The Applied Scientist will work closely with technology and product teams to solve business and technology problems using scientific approaches to build an advanced driver/customer facing chat-bot that surprises and delights our customers. As an Applied Scientist at Amazon, you will apply scientific principles to support significant invention, develop code, and will be deeply involved in bringing the algorithms to production. You will also work on cross-disciplinary efforts with other scientists within Amazon. Key job responsibilities - Develop scalable efficient solutions for customers using scientifically-based methods, LLM, and decision making. - Help support production systems that take inputs from multiple models and make decisions in real time. - Automate feedback loops for algorithms in production. - Utilize Amazon systems and tools to effectively work with terabytes of data. A day in the life If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan About the team The Shipping and Delivery Support (SDS) Tech team’s mission is to enable successful deliveries through fast and efficient support experiences for our drivers, recipients, and associates. The science team utilizes advanced scientific methods, including LLM to support the business, and improve driver support quality and deliveries efficiency.

Are you excited about using econometrics and statistics to impact real-world business decisions? We are looking for an Economist to build innovative solutions based on econometrics, experimentation, and machine learning helping us to answer challenging and impactful business problems for Prime Video. If you have an entrepreneurial spirit, you know how to deliver results fast, and you have a deeply quantitative, highly innovative approach to solving problems, and long for the opportunity to build pioneering solutions to challenging problems, we want to talk to you. Key job responsibilities •Leverage causal inference methods to estimate the impact of large-scale investments ex post •Develop advanced structural demand and econometric frameworks for products and services •Collaborate with other scientists at Amazon to deliver measurable progress and change •Influence business leaders based on empirical findings A day in the life You will work as an individual contributor working on a mix of complex strategic, long-term research as well as tactical analytical projects. You will write technical as well as business-facing docs and present your work to business leaders and the science community. About the team The Video Economics team consists of PhD-trained structural and causal-inference Economists. We are an high-impact team driving decision-making in areas including PV with ads and content portfolio optimization.

Amazon is seeking an innovative and talented Economist to join our Stores Ads Science team. In this role, you will play a crucial role in developing and implementing advanced econometrics and machine-learning solutions to solve complex business problems in a highly ambiguous problem space at the intersection of Amazon’s Stores and Advertising businesses, and deliver measurable business impacts via cross-team and cross-functional collaboration. This position requires a blend of technical expertise, leadership skills, and the ability to drive projects from conception to production. Amazon is investing heavily in building a world-class advertising business. Our advertising products are strategically important to Amazon’s Retail and Marketplace businesses for driving long-term growth. The Stores Ads Science team is dedicated to identifying and capitalizing on opportunities that jointly optimize Amazon's Stores and Advertising businesses. We focus on leveraging advertising signals to enhance Stores' decision-making processes and vice versa, ultimately driving long-term economic value for shoppers, sellers/vendors, and Amazon. We collaborate closely with tech and product teams across Stores and Advertising, continuously advancing experimentation methodologies to accelerate scientific development and quantify business impacts. Our team is characterized by high motivation, strong collaboration, and an entrepreneurial spirit with a bias for action. Key job responsibilities - Develop economic theory and deliver econometrics and machine learning models at scale. - Design, conduct, and analyze complex experiments to validate hypotheses and quantify the impact of new algorithms and features - Collaborate with cross-functional teams to translate research into scalable, production-ready solutions - Drive data-driven decision making to optimize Amazon's Stores and Advertising ecosystem - Write effective business narratives and scientific papers to communicate to both business and technical audiences

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon Special Projects team that takes the company’s Think Big leadership principle to the limits. We focus on creating entirely new products and services with a goal of positively impacting the lives of our customers. No industries or subject areas are out of bounds. If you’re interested in innovating at scale to address big challenges in the world, this is the team for you. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We are constantly learning through programs that are local, regional, and global. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. As a Applied Scientist at the intersection of machine learning and the life sciences, you will participate in developing exciting products for customers. Our team rewards curiosity while maintaining a laser-focus in bringing products to market. Competitive candidates are responsive, flexible, and able to succeed within an open, collaborative, entrepreneurial, startup-like environment. At the forefront of both academic and applied research in this product area, you have the opportunity to work together with a diverse and talented team of scientists, engineers, and product managers and collaborate with others teams.

Come transform Amazon Search using Large Language Models (LLMs). We are building new approaches to bring in a step change to both Amazon Rufus and Amazon Search. You will innovate with your team to provide delightful answers to customers by incorporating world knowledge in matching and ranking models, and helping the models deeply understand semantic meaning in descriptive and conversational queries such as "light tent for snow camping with my son", “best toys for on the go” or “cheap plus size summer pajamas”. Key job responsibilities - You will analyze large scale datasets - define metrics that reflect customer experience - invent techniques that improve capabilities such as understanding of natural language queries, questions and conversations - test your ideas in controlled experiments - train, fine-tune and align Large Language Models (LLMs). - distill Large Language Models into Fast Language Models and deploy them to operate at Amazon scale with imperceptible latencies

At Amazon's Selection Monitoring team, we leverage advanced AI technologies, including the latest Large Language Models (LLMs) and Generative AI (GenAI), to enrich and expand Amazon's product selection in alignment with consumers’ interests. Our mission is to establish the world's most comprehensive, accurate, and up-to-date universal product catalog, setting new standards in product discovery and coverage. We're seeking innovative Applied Scientists passionate about leveraging advanced AI to tackle complex challenges in product intelligence, data integration, and knowledge discovery. In this role, you'll collaborate with teams across Amazon to drive customer-focused solutions and amplify the impact of your work on our global customer base. Key job responsibilities - Design and implement advanced AI models using the latest LLM and GenAI technologies to enhance product understanding, matching, and categorization at an unprecedented scale. - Develop novel approaches to extract, generate, and validate product attributes and relationships using multimodal AI, combining text, image, and structured data analysis. - Create intelligent systems that can automatically generate high-quality product descriptions, features, and specifications using GenAI techniques. - Implement advanced natural language processing and computer vision models to extract insights from diverse data sources, including web content, user-generated data, and product imagery. - Develop innovative solutions for entity resolution, knowledge graph construction, and semantic reasoning to build a comprehensive understanding of the global product landscape. - Collaborate with cross-functional teams to integrate AI-driven insights into Amazon's product selection strategies and decision-making processes. - Lead the design and implementation of scalable, production-ready AI systems that can process billions of products efficiently on Amazon Web Services (AWS). - Stay at the advance of AI research, continuously exploring and implementing new techniques in LLMs, GenAI, and multimodal learning to drive innovation in product intelligence. - Contribute to the scientific community through publications, presentations, and collaborations with academic institutions.

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As a Senior Applied Scientist on this team, you will: - Be the technical leader in Machine Learning; lead efforts within this team and across other teams. - Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience. - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. - Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. - Recruit Applied Scientists to the team and provide mentorship. Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Team video https://youtu.be/zD_6Lzw8raE

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As an Applied Scientist on this team, you will: - Be a strong contributor to Machine Learning; lending effort within this team and across other teams. - Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience. - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. - Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models. - Run A/B experiments, gather data, and perform statistical analysis. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Research new and innovative machine learning approaches. Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Team video https://youtu.be/zD_6Lzw8raE

Are you inspired by invention? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Last Mile Solutions Engineering team. WW AMZL Solutions Engineering team is looking to build out our Senior Simulation team to drive innovation across our Last Mile network. We start with the customer and work backwards in everything we do. If you’re interested in joining a rapidly growing team working to build a unique, solutions advisory group with a relentless focus on the customer, you’ve come to the right place. This is a blue-sky role that gives you a chance to roll up your sleeves and dive into big data sets in order to build discrete event 3D simulations using tools like Flexsim, Anylogic, Emulate 3D etc and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Amazon. This is an opportunity to think big about how to solve a challenging problem for the customers. As a Sr. Simulation Scientist, you are expected to deep dive into complex problems and drive relentlessly towards innovative solutions working with cross functional teams. Be comfortable interfacing and influencing various functional teams and individuals at all levels of the organization in order to be successful. Lead strategic modelling and simulation projects related to drive process design decisions. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future. You will apply cutting edge designs and methodologies for complex use cases across Last Mile network to drive innovation. In addition, you will contribute to the end state vision for simulation and experimentation of future delivery stations at Amazon. Key job responsibilities Key job responsibilities • Lead the design, implementation, and delivery of the simulation data science solutions to perform system of systems discrete event simulations for significantly complex operational processes that have a long-term impact on a product, business, or function using FlexSim, Demo 3D, AnyLogic or any other Discrete Event Simulation (DES) software packages • Lead strategic modeling and simulation research projects to drive process design decisions • Be an exemplary practitioner in simulation science discipline to establish best practices and simplify problems to develop discrete event simulations faster with higher standards • Identify and tackle intrinsically hard process flow simulation problems (e.g., highly complex, ambiguous, undefined, with less existing structure, or having significant business risk or potential for significant impact • Deliver artifacts that set the standard in the organization for excellence, from process flow control algorithm design to validation to implementations to technical documents using simulations • Be a pragmatic problem solver by applying judgment and simulation experience to balance cross-organization trade-offs between competing interests and effectively influence, negotiate, and communicate with internal and external business partners, contractors and vendors for multiple simulation projects • Provide simulation data and measurements that influence the business strategy of an organization. Write effective white papers and artifacts while documenting your approach, simulation outcomes, recommendations, and arguments • Lead and actively participate in reviews of simulation research science solutions. You bring clarity to complexity, probe assumptions, illuminate pitfalls, and foster shared understanding within simulation data science discipline • Pay a significant role in the career development of others, actively mentoring and educating the larger simulation data science community on trends, technologies, and best practices • Use advanced statistical /simulation tools and develop codes (python or another object oriented language) for data analysis , simulation, and developing modeling algorithms • Lead and coordinate simulation efforts between internal teams and outside vendors to develop optimal solutions for the network, including equipment specification, material flow control logic, process design, and site layout • Deliver results according to project schedules and quality A day in the life If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Amazon.com’s Buyer Risk Prevention's (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for an Applied Scientist for the Buyer Abuse team, whose mission is to combine advanced analytics with investigator insight to create mechanisms to proactively and reactively reduce the impact of abuse across Amazon. Key job responsibilities As an Applied Scientist, you will be responsible for modeling complex problems, discovering insights, and building cutting edge risk algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce monetary losses and improve customer trust. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools, data sources, and ML techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Responsibilities: - Invent, implement, and deploy state of the art machine learning algorithms and systems - Build prototypes and explore conceptually new solutions - Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams - Take ownership of how ML solutions impact Amazon resources and Customer experience - Develop efficient data querying infrastructure for both offline and online use cases - Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes - Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use. - Research and implement novel machine learning and statistical approaches - Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentations Please visit https://www.amazon.science for more information