Careers

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. That is why Amazon is investing in generative AI (GenAI) and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for a Research Scientist with strong technical skills which includes coding and natural language processing experience in dataset construction, training and evaluating models, and automatic processing of large datasets. You will play a critical role in driving innovation and advancing the state-of-the-art in natural language processing and machine learning. You will work closely with cross-functional teams, including product managers, language engineers, and other scientists. Key job responsibilities Specifically, the Research Scientist will: • Ensure quality of speech/language/other data throughout all stages of acquisition and processing, including data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc. • Clean, analyze and select speech/language/other data to achieve goals • Build and test models that elevate the customer experience • Collaborate with colleagues from science, engineering and business backgrounds • Present proposals and results in a clear manner backed by data and coupled with actionable conclusions • Work with engineers to develop efficient data querying infrastructure for both offline and online use cases

We are seeking an accomplished and visionary Applied Scientist to join our dynamic team. In this role, you will lead the development and implementation of cutting-edge ML/AI solutions, leveraging advanced techniques to provide unique and differentiated value to our diverse set of global customers, including entertainment fans, industry professionals, advertising partners, and licensing clients. You will work with stakeholders from across the company, on a wide variety of projects, such as building multi-faceted customer behavioral models to power our digital advertising and personalization efforts, designing our next generation fraud detection models, and uncovering unique and scalable ways to improve the lives of our customers through advanced, science-led efforts. You will play a critical role is defining our science roadmap, while staying at the forefront of ML/AI research by adapting new methodologies to IMDb's unique challenges. Your work will involve implementing solutions that adhere to Amazon's software engineering best practices, ensuring scalability, efficiency, and maintainability. You'll contribute to the strategic direction of IMDb's scientific initiatives, aligning technical capabilities with business objectives. The ideal candidate will combine deep expertise in machine learning with a passion for entertainment and data-driven decision making. Join us in revolutionizing the way the world discovers and engages with entertainment through the power of advanced data science and AI, and make a significant impact on how millions of users interact with and benefit from IMDb's vast entertainment database. About IMDb: IMDb is the world's most popular and authoritative source for information on movies, TV shows, and celebrities. Products and services to help fans discover and decide what to watch and where to watch it include: the IMDb website for desktop and mobile devices; apps for iOS and Android; and, X-Ray on Prime Video. For entertainment industry professionals, IMDb provides IMDbPro and Box Office Mojo. IMDb licenses information from its vast and authoritative database to third-party businesses worldwide. As an Amazon company, IMDb employees enjoy the benefits and resources of a tech giant, while maintaining the autonomy and impact of a small, nimble team. Key job responsibilities As a member of our team, you'll lead complex ML projects from start to finish, handling ambiguity and scale with ease. Your responsibilities will include conducting A/B experiments, performing statistical analyses, and extracting insights from large datasets to inform decision-making. You'll develop and maintain robust, scalable ML systems while staying at the forefront of AI/ML advancements, integrating cutting-edge technologies into IMDb's products. Additionally, you'll contribute to technical papers, represent IMDb at science conferences, and play a crucial role in mentoring junior team members. This position combines hands-on technical work with leadership, fostering a culture of innovation and continuous learning within the team.

The PeopleInsight (PI) org focuses on improving employee experience at Amazon, driving productivity and retention, and resulting in a motivated workforce of over 1.5 million associates and corporate employees. These are the questions we ask — Are we facilitating the right conversations to build an engaged workforce? What trends are we seeing in our employee data and what should managers do about it? How do we solve customer problems in the most efficient way possible? If these challenges sound interesting to you, you want to be a part of building ‘first of their kind’ products, and you are passionate about putting employee experience first, consider the PeopleInsight team. PI helps Amazon drive improvements in employee talent outcomes (e.g., job satisfaction and retention), and strive to be Earth’s Best Employer through scalable technology. PI is looking for a customer-obsessed Data Scientist for Employee Engagement Services, a suite of internal employee engagement and recognition products supporting Amazonians WW, with a strong track record of delivering results and proven research experience. This role will own and execute strategic cross-functional employee engagement experiments, analysis and research initiatives across Operations and Corporate audiences for high CSAT products. The Data Scientist must love extracting, cleaning and transforming high volume of data into actionable business information and be able to drive actionable insights. The data scientist will partner with Product, UX and Dev teams to own end-to-end business problems and metrics with a direct impact on employee experience. Success in this role will include influencing within your team and mentoring peers. The problems you will consider will be difficult to solve and often require a range of data science methodologies combined with subject matter expertise. You will need to be capable of gathering and using complex data set across domains. You will deliver artifacts on medium size projects, define the methodology, and own the analysis. Your findings will affect important business decisions. Solut Key job responsibilities • Implement statistical methods to solve specific business problems utilizing code (Python, R, Scala, etc.). • Development of user classification models and other predictive models to enable a personalized experience for a user. • Improve upon existing methodologies by developing new data sources, testing model enhancements, and fine-tuning model parameters. • Collaborate with product management, software developers, data engineering, and business leaders to define product requirements, provide analytical support, and communicate feedback; develop, test and deploy a wide range of statistical, econometric, and machine learning models. • Build customer-facing reporting tools to provide insights and metrics which track model performance and explain variance. • Communicate verbally and in writing to business customers with various levels of technical knowledge, educating them about our solutions, as well as sharing insights and recommendations. • Earn the trust of your customers by continuing to constantly obsess over their needs and helping them solve their problems by leveraging technology About the team The PeopleInsight team is a collaborative group of Business Intelligence Engineers, Data Scientists, Data Engineers, Research Scientists, Product Managers, Software Development Engineers, Designers and Researchers that studies a workforce numbering in the hundreds of thousands. Our work is dedicated to empowering leaders and enabling action through data and science to improve the workplace experience of associates and ensure Amazon is Earth's Best Employer.

As cloud technologies continue to transform businesses, skilled individuals are in high demand. At AWS Training and Certification (T&C), we are passionate about revolutionizing the way people advance their cloud skills and careers. We equip diverse builders of today and tomorrow with the knowledge they need to leverage the power of the AWS Cloud. Join our dynamic, fast-growing team and help us empower our customers to build cloud skills. The AWS Certification team is seeking a Psychometrician with experience working with criterion-referenced assessment programs to support a large global AWS Certification program. In this role, you will support all psychometric aspects of exam development and operation, including job analyses, standard setting, automated test assembly, item and test analyses, optimal item bank design, quality assurance, and project planning. You will work closely with a team of psychometricians, subject matter experts, certification exam program managers, publishing, delivery, security, product management, and translation/localization teams to support ongoing analyses of exam data. To be successful in this position, you must be highly motivated, creative, detail oriented, and a self-starter who is able to think big, execute, ensure high quality, yet stay focused on the details. Key job responsibilities - Conduct Job Task Analysis (JTA) workshops and post-JTA survey analyses to define the blueprint and test specifications for new certifications or updates to existing certifications - Conduct standard setting studies to set the passing score for an exam - Run item analysis to evaluate quality and performance of exam items - Use automated test assembly procedures to assemble forms or item pools - Work with content development to optimize the health of item banks - Support the development of a cloud-based analytics and reporting system - Interpret and clearly communicate the results of analyses to stakeholders through written and oral reports - Follow the accreditation standards set by ISO/IEC:2012 17024 and the National Council for Certifying Agencies (NCCA) as they relate to valid psychometric practices - Contribute to the development and execution of the strategic goals regarding the AWS certification program - Consult with leadership, internal staff, external consultants, and industry leaders regarding advancement of current offerings

This is a unique opportunity for a postdoc to work on research projects that investigate state of the art NLP, IR, and LLM approaches for understanding retail products and their pricing. This will include working with billion-scale datasets and investigating how the world knowledge captured by LLMs reflects real world prices, and investigating more advanced prompting and reasoning techniques to construct large knowledge graphs that are specialized for various pricing use cases such as probabilistic price estimation, as well as error detection and correction. Key job responsibilities In this role you will: • Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community. • Publish your innovation in top-tier academic venues and hone your presentation skills. • Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. About the team The retail pricing science team is a centralized diverse team of STEM scientists that develop statistical, ML, RL, optimization and economic models that drive pricing for products sold by Amazon worldwide, as well as monitoring of prices and experimentations in pricing. The team has a dual focus on competitiveness and long term financial optimality.

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you? If so, Amazon Logistics (AMZL), Last Mile team is for you. We manage the delivery of tens of millions of products every week to Amazon’s customers, achieving on-time delivery in a cost-effective manner to deliver a smile for our customers. As part of Amazon Last Mile Execution Analytics organization, the Data Scientist will work closely with other research scientists, machine learning experts, and economists to design and run experiments, create analyses, carry over solutions from other regions, and find new ways to improve last mile analytics to optimize the Customer experience. The Scientist will partner with technology and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. They also work on cross-disciplinary, cross-regions efforts with other scientists within Amazon. We are looking for candidates with strong skills in Optimization modeling (Mixed Integer Programming, Dynamic Programming, Decomposition Methods), as well as solid skills in Python coding and data collection and analysis. Some background in Control Theory, Machine Learning, and Economics would be helpful too. The successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment and a desire to help shape the overall business. Key job responsibilities • Design and develop advanced mathematical, optimization models and apply them to define strategic and tactical needs and drive the appropriate business and technical solutions in the areas of routing planning, supply chain optimization, network optimization, economics, and control theory. • Apply mathematical optimization and control techniques (linear, quadratic, SOCP, robust, stochastic, dynamic, mixed-integer programming, network flows, nonlinear, nonconvex programming, decomposition methods, model predictive control) and algorithms to design optimal or near optimal solution methodologies to be used by in-house decision support tools and software. • Research, prototype, simulate, and experiment with these models by using modeling languages such as Python or R; participate in the production level deployment. • Create, enhance, and maintain technical documentation • Present to other Scientists, Product, and Software Engineering teams, as well as Stakeholders. • Lead project plans from a scientific perspective by managing product features, technical risks, milestones and launch plans. • Influence organization's long-term roadmap and resourcing, onboard new technologies onto Science team's toolbox, mentor other Scientists.

Do you want to create the greatest-possible worldwide impact in Robotics? Amazon has the world's most exciting treasure trove of robotics challenges. At Amazon Robotics we build high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Amazon Robotics invents and scales AI systems for robotics in fulfillment. Our mission is to enable robots to interact safely, efficiently, and fluently high density real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself. We hire and develop collaborative subject matter experts in AI with a focus on computer vision, deep learning, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, large scale generative models, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks. We are seeking a hands-on, seasoned Applied Scientists who will be deep in code and algorithms; who are technically strong in building scalable vision systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation. As a Applied Scientist, you will contribute to the research and development of advanced robotic systems; your work along with other top-notch scientists and engineers will deliver the world's most scalable and robust robotic systems. You will drive ideas to products using paradigms such as deep learning, semi supervised learning and active learning. As a Applied Scientist, you will also help lead and mentor our team of applied scientists and engineers. You will take on challenging customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation while you lead. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a collaborative team environment. You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers. Key job responsibilities Architect, design, and implement Machine Learning models for vision systems on robotic platforms Optimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap. Work with stakeholders across , science, and operations teams to iterate on design and implementation. Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement. Prototype and test concepts or features, both through simulation and emulators and with live robotic equipment Work directly with customers and partners to test prototypes and incorporate feedback Mentor other engineer team members. A day in the life Amazon offers a full range of benefits for 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 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!

Are you passionate about automation, optimization, knowledge extraction, and artificial intelligence through the use of Machine Learning, Computer Vision, Optimization, Natural Language Processing, and Recommender systems? 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, audio, and machine telemetry data to build generative and discriminative models for optimizing large-scale manufacturing and fulfillment processes, analyze and model customer reading behavior to measure engagement and detect risks, and build AI-based systems for helping indie authors make their businesses successful. 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. As an Applied 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. Senior Applied Scientists are specialists with the deep expertise to 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. Key job responsibilities Great candidates for this position will be experts in the areas of data science, machine learning, computer vision, optimization, NLP, or statistics. You will have hands-on experience with multiple science initiatives as well as be able to balance technical leadership with strong business judgment to make the right decisions about technology, models and methodological choices. You will strive for simplicity, and demonstrate significant creativity and high judgment. 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 systems 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.

Are you passionate about automation, optimization, knowledge extraction, and artificial intelligence through the use of Machine Learning, Computer Vision, Optimization, Natural Language Processing, and Recommender systems? 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, audio, and machine telemetry data to build generative and discriminative models for optimizing large-scale manufacturing and fulfillment processes, analyze and model customer reading behavior to measure engagement and detect risks, and build AI-based systems for helping indie authors make their businesses successful. 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. As an Applied 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. Senior Applied Scientists are specialists with the deep expertise to 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. Key job responsibilities Great candidates for this position will be experts in the areas of data science, machine learning, computer vision, optimization, NLP, or statistics. You will have hands-on experience with multiple science initiatives as well as be able to balance technical leadership with strong business judgment to make the right decisions about technology, models and methodological choices. You will strive for simplicity, and demonstrate significant creativity and high judgment. 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 systems 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 looking for an Applied Scientist to push the boundaries of machine learning and simulation at scale. As a member of PXT Finance, you will own the development of distributed simulations for population dynamics forecasting and expense planning. This will include the development of state-of-the-art time series and survival models leveraging deep learning techniques such as Graph Neural Networks, Recurrent Neural Networks, and Transformers. Working on a cross functional team, you will collaborate closely with data scientists, software engineers, product managers and finance managers. This is a high-impact role where you will develop applications that will be used by planners and decision makers across Amazon. Key job responsibilities - Lead the development of distributed simulations for population dynamics forecasting and expense planning. - Implement state-of-the-art graph deep learning models for tasks such as node survival analysis and spatio-temporal time series forecasting. - Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate forecasting solutions into Amazon’s cost planning processes. - Leverage big data processing frameworks such as Apache Spark to ingest high volume headcount data into machine learning workflows. - Apply GPU programming frameworks such as PyTorch and CUDA to deploy fast and scalable planning solutions. - Push the boundary of machine learning-based simulation and publish results in peer-reviewed journals. A day in the life As an Applied Scientist in Finance you will focus on data science and machine learning engineering workflows. This means ownership of models from the idea stage all the way to production deployment. In addition to programming and system design you'll also work with customers, partners, and leaders to guide project decisions About the team We are a small team of scientists with a focus on forecasting and simulation applications for expense and headcount planning. By keeping pace with the advance of machine learning technology are rapidly scaling our productivity and impact. We strive to deliver efficient and innovative solutions by constantly developing and improving our research and engineering skills.