Careers

The Amazon Smart Vehicles (ASV) science team is seeking a passionate and skilled Applied Scientist with extensive expertise in advanced LLM technologies. This role involves innovating in rapidly evolving areas of AI research, focusing on creating personalized services to enhance drivers' and passengers' experiences. Your work will aim to simplify their lives, keep them informed, entertained, productive, and safe on the road, with direct application to prominent Amazon products. If you have extensive expertise in LLMs, natural language processing, and machine learning, along with experience in high-performing research teams, this could be the perfect opportunity for you. Our dynamic and fast-paced environment demands a high level of independence in decision-making and the ability to drive ambitious research initiatives through to production. You will collaborate closely with other science and engineering teams, as well as business stakeholders, to ensure your contributions are both impactful and delivered with maximum efficiency. Key job responsibilities - Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI) - Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs - Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions. About the team This is an exciting moment to lead in AI research. As part of the Amazon Smart Vehicles science team, you have the opportunity to shape the future by enhancing information-driven experiences for Amazon customers around the globe. Your work will directly influence customers through innovative products and services powered by language and multimodal technology!

Amazon Music Catalog team is seeking an experienced Applied Scientist who will join a team of experts in the field of machine learning, and work together to break new ground in the world of understanding and classifying different forms of music, and creating interactive experiences to help users find the music they are in the mood for. We work on machine learning problems for music classification, recommender systems, dialogue systems, NLP, and music information retrieval. You'll work in a collaborative environment where you can pursue applied research, work on problems that haven’t been solved before, quickly implement and deploy your algorithmic ideas at scale, understand whether they succeed via statistically relevant experiments across millions of customers, and publish your research. You'll see the work you do directly improve the experience of Amazon Music customers on Alexa/Echo, mobile, and web. Key job responsibilities - Use machine learning, deep learning, LLMs and NLP techniques to create scalable solutions for business problems - Analyze and extract relevant information from large amounts of Amazon's data to help automate and optimize key processes - Design, development and evaluation of highly innovative models for predictive learning - Work closely with software engineering teams to drive model implementations and new feature creations - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation - Research and implement novel machine learning and statistical approaches About the team Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music.

We are working back from a mission of explaining and predicting one of the most important inputs to the Amazon business - customer visit data. We are working to model and test our assumptions about what are the customer incentives and what influences customers to chose visiting Amazon. Ultimately we want to understand and predict how many of our customers will interact with Amazon and we want to identify insights that optimize the customer experience. This is a green-field role in an analytics team of economists, science, business intelligence and data engineering bridging between observational measurement and theoretical models. About the team You will be empowered by a large team of experienced software and data engineers that are aligned on the same mission - to measure and explain our customer experience. We lean into the exceptionally talented Economist and Science community in CBA and Stores for consultation, guidance and peer reviews. Our large analytics team is empowered to move fast and gather the data we need to achieve our mission. Our parent organization owns end-to-end data collection systems (Clickstream), experimentation (Weblab) and customer value forecasting (GCCP). We are working across organizational boundaries to identify relevant datasets and are able to curate the vast amount of data we have into meaningful business reporting and analysis.

** This position is open to all candidates in NYC and Arlington, VA Amazon Ads Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems. Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities. We are looking for a talented Machine Learning Applied Scientist for our Amazon Ads Response Prediction team to grow the business. We are providing advanced real-time machine learning services to connect shoppers with right ads on all platforms and surfaces worldwide. Through the deep understanding of both shoppers and products, we help shoppers discover new products they love, be the most efficient way for advertisers to meet their customers, and helps Amazon continuously innovate on behalf of all customers. Key job responsibilities As a Machine Learning Applied Scientist, you will: * Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities * Develop scalable and effective machine-learning models and optimization strategies to solve business problems * Run regular A/B experiments, gather data, and perform statistical analysis * Work closely with software engineers to deliver end-to-end solutions into production * Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving * Conduct research on new machine-learning modeling to optimize all aspects of Sponsored Products business About the team We are pioneers in applying advanced machine learning and generative AI algorithms in Sponsored Products business. We empower every customer with a customized discovery experiences from back-end optimization (such as customized response prediction models) to front-end CX innovation (such as widgets), to help shoppers feel understood and shop efficiently on and off Amazon.

The Decision Science team within Amazon Devices is seeking an experienced Senior Data Scientist to lead the development and implementation of sophisticated demand forecasting models and customer segmentation analyses that will shape our future product portfolio. Are you excited about making multi-million dollar decisions science- and data-driven? Are you interested in supporting Consumer Hardware device concepts from innovative idea to launch? Do you want to work on a science team focused on scaling a variety of econometric and machine learning models? This could be the role for you! The Decision Science team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support over 100 device-specific analyses a year on hardware and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera. We apply science models to multi-million dollar, one-way door decisions. The successful candidate will excel at exploring and simplifying internal customer business problems, and delivering deliver solutions to those problems that can eventually scale to self service tools. Key job responsibilities As a Data Scientist III at Amazon Devices, you will play a crucial role in shaping our product strategy and launch plans through advanced pre-launch forecasting and customer segmentation analysis. Your primary responsibilities will include: - Develop and execute sophisticated conjoint surveys to gather critical consumer insights for upcoming device launches. - Build and refine demand models using conjoint survey data and historical sales information to produce accurate pre-launch forecasts for new Amazon devices. - Lead the advancement of customer segmentation analysis, identifying key characteristics and behaviors of device purchasers across different product lines. - Collaborate with cross-functional teams including Product Management, Marketing, and Finance to translate data-driven insights into actionable strategies for product development and go-to-market plans. - Design and implement machine learning algorithms to enhance the accuracy of demand forecasts and improve customer segment identification. - Stay current with the latest developments in data science techniques, particularly in the areas of conjoint analysis, demand modeling, and customer segmentation. - Mentor junior data scientists and contribute to the overall growth of the data science practice within Amazon Devices.

The Devices team seeks a Applied Scientist with a strong background in machine and deep learning to spearhead the advancement and deployment of state of the art ML/RAG systems. As part of this team, you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant, aiming to revolutionize user experiences for millions of Alexa customers. Creating reliable, scalable and high performance products requires exceptional technical expertise, and a sound understanding of the fundamentals of Machine Learning, NLP, LLM, and Problem solving. This role requires working closely with business, engineering and other scientists within the team and across Amazon to raise the bar in operational excellence, improving tools and automating workflows. You will lead high visibility and high impact programs collaborating with various teams across Amazon. The candidate is self-motivated, thrives in ambiguous and fast-paced environments, possess the drive to tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. Join us in our mission to redefine industry standards and provide unparalleled experiences for our customers. Key job responsibilities * Analyze, understand, and model customer behavior and the customer experience based on large scale data * Build and measure novel online & offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints * Create, innovate and deliver deep learning, policy-based learning, and/or machine learning based algorithms to deliver customer-impacting results * Build and deploy automated model training and evaluation pipelines * Perform model/data analysis and monitor metrics through online A/B testing * Research and implement novel machine learning and deep learning algorithms and models. * Responsible for on-call duties during peak and non-peak hours, deploying fixes, and handling high-sev issues working with Software Developer Engineers

Here at Amazon, we embrace our differences. We are committed to furthering our culture of diversity and inclusion of our teams within the organization. How do you get items to customers quickly, cost-effectively, and—most importantly—safely, in less than an hour? And how do you do it in a way that can scale? Our teams of hundreds of scientists, engineers, aerospace professionals, and futurists have been working hard to do just that! We are delivering to customers, and are excited for what’s to come. Check out more information about Prime Air on the About Amazon blog (https://www.aboutamazon.com/news/transportation/amazon-prime-air-delivery-drone-reveal-photos). If you are seeking an iterative environment where you can drive innovation, apply state-of-the-art technologies to solve real world delivery challenges, and provide benefits to customers, Prime Air is the place for you. Come work on the Amazon Prime Air Team! We are seeking a highly skilled Navigation Scientist to help develop advanced algorithms and software for our Prime Air delivery drone program. In this role, you will conduct comprehensive navigation analysis to support cross-functional decision-making, define system architecture and requirements, contribute to the development of flight algorithms, and actively identify innovative technological opportunities that will drive significant enhancements to meet our customers' evolving demands. Export Control License: This position may require a deemed export control license for compliance with applicable laws and regulations. Placement is contingent on Amazon’s ability to apply for and obtain an export control license on your behalf.

Are you excited about developing state of the art Machine Learning (ML) capabilities to power Amazon's robotic storage solutions? Are you looking for opportunities to build and deploy Machine Learning models on real problems at truly vast scale? At Amazon Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. The Robotic Storage Technologies (RST) team at Amazon Robotics is seeking a passionate, collaborative, hands-on Applied Scientist to develop algorithms that foster optimal choice selection in Amazon's next generation robotic storage systems. You will explore and leverage huge amounts of inventory and robotic transactional data from our growing network of warehouses across the globe. You will utilize a combination of machine learning, reinforcement learning, and optimization methods to drive high performance that scales and adapts under dynamic operating conditions. This work spans from early research and simulation of new ideas through deployment and continuous improvements as our solutions and Amazon's needs continually evolve. The ideal candidate for this position will be familiar with planning or learning algorithms at both the theoretical and implementation levels. You will have the chance to solve complex scientific problems and see your solutions come to life in Amazon’s warehouses! Key job responsibilities - Research new ideas and contribute to the vision of our science roadmap. - Design and develop models and algorithms that perform at Amazon scale. - Work closely with software engineering teams to deploy your innovations. - Monitor, troubleshoot, and continuously improve production in performance. - Contribute to development of simulation and other forms of offline policy evolution. - Publish your work at major conferences/journals. A day in the life On a typical day in this role you will work to progress your research projects; meet with robotic storage engineering, systems, and solutions stakeholders; brainstorm with other scientists on the team and participate in team processes. You will follow your research projects though the entire life cycle of design, prototype implementation, evaluation, analysis, and you will communicate your findings and results through technical papers and reports. You will collaborate with software development teams to implement your ideas in production software services and design experiments to pilot your algorithms and models in Amazon's robotic warehouses. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. 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 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! About the team Robotic Storage Technologies (RST) owns automation of storage and retrieval solutions in Amazon's vast network of fulfillment centers across the globe. Our solutions are driven by fleets of hundreds of robots, and our customers are operations engineers and associates who help fulfill millions of Amazon.com orders per day. You will be part of a team of scientists embedded within the software organization that supports the solutions you help to deploy.

We are hiring an Economist to join the Forecasting team in AWS Central Economics and Science (FACE). We are looking for an Economist in the Forecasting, Macroeconomics, and Finance (FMF) track to help us develop and deploy forecasting models and carry out analyses that support critical processes at AWS. An ideal candidate has expertise in time series forecasting, strong technical and communication skills, and is excited about combining the latest times-series statistical methods with strong economic analysis and intuition. You will collaborate with other members in the team and with customers to develop model-based solutions for business questions. Your contributions will help drive data- and science-informed decision-making. Key job responsibilities * Apply and develop scalable state-of-the-art methods in time-series econometrics to solve business questions. * Translate business questions and concerns into specific quantitative questions that can be answered with available data and rigorous science. * Partner with scientists and data engineers to deploy models to production. * Communicate results to customers and provide scientific guidance to senior leadership through written and verbal presentations. A day in the life AWS Central Economics takes big swings and works on hard cross organizational problems where the optimal success rate is not 100%. We also ask people to grow their skills and stretch and make sure we do it in a supportive and fun environment. It’s about empirically measured impact, advancement, and fun on our team. We work hard during work hours but we also don’t encourage working at nights or on weekends except in very rare, high stakes cases. Burn out isn’t a successful long run strategy. Because we invest in the long run success of our group it’s important to have hobbies, relax and then come to work refreshed and excited. It makes for bigger impact, faster skill accrual and thus career advancement. About the team FACE is the Forecasting team in AWS Central Economics and Science. We provide AWS leadership, Finance, and Planning teams with science-based forecasts and analysis to optimize financial and operational planning at various levels of granularity. Our models implement frontier science at the intersection of economics, statistics and machine learning. The output of our models and analyses supports critical processes at AWS such as Operational Planning and Quarterly Guidance. We are a close-knit, highly collaborative, and interdisciplinary team of scientists who are experts in their respective fields.

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.