Careers

The Amazon Fulfillment Technologies (AFT) Science team is looking for an Applied Scientist with strong Deep Learning and Large Language Models background, to develop critical algorithms for generating reasoning and explainability for some key algorithms driving warehouse management processes on Amazon’s Fulfillment Network. We’re working to improve operations management within 4-walls of Amazon Fulfillment Center by using the conversational capabilities of large language models on existing algorithms, and developing online learning mechanisms. We are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. Key job responsibilities Develop novel algorithms and modeling techniques to advance the state of the art with LLMs Analyze, understand, and model the operator (user/customer) behavior and the customer experience based on large scale data Build novel online & offline evaluation metrics and methodologies. Develop an understanding and domain knowledge of operational processes, system architecture and functions, and business requirements. Drive scalable and hands-off-the-wheel solutions. Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders. Partner with engineers to integrate prototypes into production systems. -Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing. Set high standards of coding and integrate successful models and algorithms in production systems. Use the best practices in science: data integrity, design, test, and implementation and documentation. Contribute to Amazon's Intellectual Property through patents and internal and external publications. Drive best practices on the team; mentor and guide junior members to achieve their career growth potential. A day in the life 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 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 Amazon Fulfillment Technology (AFT) designs, develops and operates the end-to-end fulfillment technology solutions for all Amazon Fulfillment Centers (FC). We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it. The AFT Science team has expertise in computer vision, deep learning, operations research, optimization, scheduling, planning, simulation, and machine learning. We also have domain expertise in the operational processes within the FCs and their defects. We prioritize advancements that support AFT tech teams and focus areas rather than specific fields of research or individual business partners. We influence each stage of innovation from inception to deployment which includes both developing novel solutions or improving existing approaches. Resulting production systems rely on a diverse set of technologies, our teams therefore invest in multiple specialties as the needs of each focus area evolves.

Are you a leader passionate about driving innovation in Manufacturing using automation, optimization, knowledge extraction, and artificial intelligence through the use of Machine Learning, Computer Vision, Optimization, and Natural Language Processing? We're seeking a Manager of Applied Science to lead our Manufacturing Science team in making revolutionary leaps forward in these spaces. In this highly critical role, you will oversee a talented team working with multimodal datasets to build large-scale models and AI-based systems for optimizing manufacturing and fulfillment processes by combining methods from several science domains with domain knowledge across multiple businesses into sophisticated ML workflows and integrating them into manufacturing cells across the world to transform the publishing industry. Key job responsibilities * Lead with Integrity and Insight: Direct a team of Applied Scientists and specialists focused on automating and optimizing manufacturing, fulfillment, and inventory. Foster a culture of innovation, ethical standards, and scientific rigor. * Operate a research and innovation program to drive forward the state of the art within a highly customer-oriented business environment. * Strategic Manufacturing Optimization: Develop and implement a comprehensive strategy to automate and optimize book manufacturing, fulfillment, quality, and inventory. Work collaboratively with cross-functional teams to implement robust solutions, and adapt to evolving business needs. * Collaboration and Influence: Provide expertise and guidance to product managers, teams, and organizations involved in manufacturing and fulfillment of books. Maintain strong relationships with internal and external stakeholders to stay informed of industry trends. * Upholding Standards: Ensure all content and user interactions meet Amazon's high standards, maintaining customer trust and safety of our employees, services, and operations. About the team Print On Demand (POD) and Kindle Direct Publishing (KDP) 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 scale to demand and enable authors to design high quality print and digital books, reaching readers all around the world.

Amazon Japan Store Tech (JST) Science team serves as the core science division of JP Store Tech, with the vision to enable and accelerate the best-in-class CX through state-of-the-art machine learning technologies. This team owns the science vision definition, science roadmap planning, and science solution delivery in key business areas in Japan including Search, Everyday Essential, Customer Growth and Engagement, Personalization and Delivery. As an Applied Scientist, you will work on the design, implement and deliver models on Amazon site, helping millions of customers every day to find quickly what they are looking for. You will propose innovation to build ML models trained on terabytes of product and traffic data, which are evaluated using both offline metrics as well as online metrics from A/B testing. The chosen approaches for model architecture will balance business-defined performance metrics with the needs of millisecond response times. Key job responsibilities * Initiate and drive the design and delivery of science solutions or systems that address significantly large or endemic customer and business problems, and directly impact the goals of your entire organization, and possibly others. * Analyzing data and metrics relevant to the customer experiences. * Recognized by internal and external peers as a thought leader in your area(s) of scientific expertise. You publish your results at top academic conferences and engage with the academic community. Your benefits include: * Working on a high-impact, high-visibility product, with your work improving the experience of millions of customers * The opportunity to use (and innovate) state-of-the-art ML methods to solve real-world problems with tangible customer impact * Being part of a growing team where you can influence the team's mission, direction, and how we achieve our goals

Are you fueled by a passion for computer vision, machine learning and AI, and are eager to leverage your skills to enrich the lives of millions across the globe? Join us at Ring AI team, where we're not just offering a job, but an opportunity to revolutionize safety and convenience in our neighborhoods through breakthrough innovation. You will be part of a dynamic team dedicated to pushing the boundaries of computer vision, machine learning and AI to deliver an unparalleled user experience for our neighbors. This position presents an exceptional opportunity for you to pioneer and innovate in AI, making a profound impact on millions of customers worldwide. You will partner with world-class AI scientists, engineers, product managers and other experts to develop industry-leading AI algorithms and systems for a diverse array of Ring and Blink products, enhancing the lives of millions of customers globally. Join us in shaping the future of AI innovation at Ring and Blink, where exciting challenges await! Key job responsibilities - Participate in the design, development, evaluation, deployment and updating of data-driven models for embedded computer vision applications. - Research and implement the state-of-the-art computer vision and sensor fusion algorithms for resource-constrained computing platforms on a large scale. - Collaborate with product managers and engineering teams to design and implement computer vision and machine learning based features for Ring devices. - Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.

Inventory Planning and Control (IPC) science is seeking a passionate machine learning scientist working in one of its team locations (NYC, Austin or Bellevue) to build the next generation AI-driven decision making systems. IPC owns the core decision models in the space of Buying, Placement, Capacity Control and Planning. Our models decide when, where, and how much we should buy, flow, and hold inventories in our global fulfillment network to meet Amazon’s business goals and to make our customers happy. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars of world-wide for both our retail and selling partner business. Our systems are built entirely in-house and operate at various scales, from real-time decision system that completes thousands of transactions per seconds, to large scale distributed system that optimizes the inventory decisions over millions of products simultaneously. IPC is also unique in that we are simultaneously developing the science and software of inventory optimization and solving some of the hardest computational/operational challenges in production. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working with some of the best product managers, scientists, and software engineers in the industry. Key job responsibilities This particular role focuses on building and experimenting the frontier technologies in deep learning and reinforcement learning to decide the inventory flows across Amazon's global fulfillment network for hundreds of millions of different products. This role requires superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. A day in the life IPC science is at the center of Amazon’s supply chain. In this role, you will have the opportunity to work with partners and stakeholders from Amazon’s retail, selling partner and operation departments worldwide. You will understand their challenges and pain points, and help develop solutions that improve how Amazon manages inventory in our global fulfillment network. To implement your solutions, you will work closely with our in-house product and engineering teams. Your work will have high visibility and impacts to Amazon’s business operation. About the team IPC science team contains a large group of scientists with different technical backgrounds, who will collaborate closely with you on your projects. Our team directly supports 8 functional areas, developing and maintaining various decision optimization and prediction models behind the scene. We promote experimentation and learn by building. We often seek the opportunity of applying hybrid techniques in the space of Operations Research and Machine Learning to tackle some of our biggest technical challenges.

Amazon Devices is looking for a dynamic, innovative and accomplished Applied Scientist to work on machine learning and data science initiatives to help customers discover Devices products and enabled stakeholders make informed product decisions. Are you excited by the prospect of analyzing terabytes of data and leveraging state-of-the-art data science and machine learning techniques to solve real world problems? Do you like to own business problems/metrics of high ambiguity where you get to define the path forward for success for initiatives? You will get an opportunity to act as a thought leader, work backwards from the customer needs, dive deep into data to understand the issues, conceptualize and build algorithms and collaborate with cross-functional teams. You will take the lead on developing advanced ML systems that are key to reaching our customers with the right recommendations at the right time. Your work will directly impact the success of Amazon's growing Devices business. Key job responsibilities Key job responsibilities * Design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both analysis and business judgment. * Collaborate with software engineering teams to integrate successful experiments into large-scale, highly complex Amazon production systems. * Promote the culture of experimentation and applied science at Amazon. * Excellent communication and presentation skills working with multiple peer groups and different levels of management * Influence and continuously improve a sustainable team culture that exemplifies Amazon’s leadership principles. A day in the life You will work with other scientists, engineers, product managers, and marketers to develop new products that benefit our customers and help us reach our business goals. You will own solutions from end to end: conceptualization, prioritization, development, delivery, and deploy in production. About the team We are a full stack science team that empowers product, marketing, and other business leaders to better understand customers who use Amazon devices, make decisions on product development or optimization, and measure the effectiveness of their efforts against our customer’s expectation. Our focus area is to build analytical frameworks that help the organization easily access data, better understand the decisions customers are making and why, and assess customer satisfaction.

The Amazon Economics organization is hiring for 2-year positions in our Economics Research Analyst Program. We are looking for highly-skilled and motivated individuals who are eager to work on applied research in a business environment together with Amazon Economists while acquiring the research skills for PhD admissions. Guided by full-time Amazon Economists, Economics Research Analysts will learn how to work with large and complicated data sets to solve real-world business problems at scale using economic methods. Some knowledge of statistics, as well as basic familiarity with programming languages is necessary. Experience with econometrics and a statistical programming language (Python, R, Stata) would be a plus. These are full-time positions with a set duration of 2 years, with compensation and benefits packages provided. The positions will help prepare Economics Research Analysts to apply for PhD programs in their 2nd year of the position by offering: mentorship with Economists, guidance to take supplementary coursework, and admissions coaching. You will learn how to build data sets and perform applied econometric analysis at Internet speed collaborating with economists, data scientists and MBA's. These skills will translate well into your PhD application profile and provide you with work experience that may help you with writing applied chapters in your PhD dissertation. We are committed to cultivating a research environment that is diverse and inclusive. We actively recruit and mentor Economics Research Analysts who bring new perspectives and experiences. If you are interested, please create a personal profile and submit a CV or resume listing quantitative coursework, and writing sample.

Working at Amazon Robotics Are you inspired by invention? Is problem solving through teamwork in your DNA? 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 Robotics. We are a smart team of doers that work passionately to apply innovative advances in robotics and software to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun. Position Overview The Amazon Robotics (AR) Software Research and Science team builds and runs simulation experiments and delivers analyses that are central to understanding the performance of the entire AR system. This includes operational and software scaling characteristics, bottlenecks, and robustness to “chaos monkey” stresses -- we inform critical engineering and business decisions about Amazon’s approach to robotic fulfillment. We are seeking an enthusiastic Data Scientist to design and implement state-of-the-art solutions for never-before-solved problems. The DS will collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the Customer experience. They will partner with technology and product leaders to solve business problems using scientific approaches. They will build new tools and invent business insights that surprise and delight our customers. They will work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes. They will work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors. They will engage with software development teams and warehouse design engineers to drive the evolution of the AR system, as well as the simulation engine that supports our work. Inclusive Team Culture Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have 12 affinity groups (employee resource groups) with more than 87,000 employees across hundreds of chapters around the world. We have innovative benefit offerings and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which reminds team members to seek diverse perspectives, learn and be curious, and earn trust. Flexibility It isn’t about which hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We offer flexibility and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth We care about your career growth too. Whether your goals are to explore new technologies, take on bigger opportunities, or get to the next level, we'll help you get there. Our business is growing fast and our people will grow with it. A day in the life 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 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!

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced ML systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real-world problems? Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Machine Learning team for India Consumer Businesses. Machine Learning, Big Data and related quantitative sciences have been strategic to Amazon from the early years. Amazon has been a pioneer in areas such as recommendation engines, ecommerce fraud detection and large-scale optimization of fulfillment center operations. As Amazon has rapidly grown and diversified, the opportunity for applying machine learning has exploded. We have a very broad collection of practical problems where machine learning systems can dramatically improve the customer experience, reduce cost, and drive speed and automation. These include product bundle recommendations for millions of products, safeguarding financial transactions across by building the risk models, improving catalog quality via extracting product attribute values from structured/unstructured data for millions of products, enhancing address quality by powering customer suggestions We are developing state-of-the-art machine learning solutions to accelerate the Amazon India growth story. Amazon India is an exciting place to be at for a machine learning practitioner. We have the eagerness of a fresh startup to absorb machine learning solutions, and the scale of a mature firm to help support their development at the same time. As part of the India Machine Learning team, you will get to work alongside brilliant minds motivated to solve real-world machine learning problems that make a difference to millions of our customers. We encourage thought leadership and blue ocean thinking in ML. Key job responsibilities Use machine learning and analytical techniques to create scalable solutions for business problems Analyze and extract relevant information from large amounts of Amazon’s historical business data to help automate and optimize key processes Design, develop, evaluate and deploy, innovative and highly scalable ML models Work closely with software engineering teams to drive real-time model implementations Work closely with business partners to identify problems and propose machine learning solutions Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large-scale complex ML models in production Leading projects and mentoring other scientists, engineers in the use of ML techniques About the team International Machine Learning Team is responsible for building novel ML solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom-line and top-line of India business. Learn more about our team from https://www.amazon.science/working-at-amazon/how-rajeev-rastogis-machine-learning-team-in-india-develops-innovations-for-customers-worldwide

At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes and industries. Unlock your career potential. Amazon Business Flywheel Inputs Science team is looking for Sr. Scientist to excel at the flywheel inputs of selection, pricing and operations. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Science team owns the science for key AB problems including price setting, selection additions and operations optimization. Amazon Business is a fast growing business sector. We need the leaders who can think big and drive their vision into a reality. You will build the science models and the supporting structures needed to analyze, dive deep, and innovate the selection and pricing strategies. You will also have the opportunity to present findings to cross functional team partners to drive improvements. You will work closely with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers and Business Partners to solve challenging problems. You need be comfortable using intellect, curiosity and technical ability to develop innovative solutions to business problems. You need learn different aspects of the business and understand how to apply science and analytics to solve high impact business problems. You will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving. The ideal candidate will have the Amazon leadership skills, proven ability to develop, enhance, automate, and manage science models from end to end. The ideal candidate will have data mining and modeling skills and will be comfortable facilitating idea creation and working from concept through to execution. The ideal candidate must have demonstrated ability to manage medium-scale automation and modeling projects, identify requirements and build methodology and tools that are mathematically grounded but also explainable operationally, apply technical skills allowing the models to adapt to changing attributes. We are hiring the right talent and will adjust the job family based on the interview results to fit you in one of the following job families: Data Science, Research Science, Applied Science, Economist and Machine Learning Engineer. Key job responsibilities • Contribute to AB Flywheel Inputs strategy development based on science models and data analysis • Develop models to measure long term impact of seller behaviors • Collaborate with product and engineering teams both within and outside of AB to launch selection and operations systems based on science and data. • Use optimization, statistical, machine learning and analytical techniques to create scalable solutions for business problems. • Design, development and evaluation of highly innovative models for forecast, optimization and experimentation. • Research, experiment and implement novel approaches. • Work closely with other scientists in the team and across teams. • Work and collaborate effectively with product managers and software engineering teams to build algorithms and models and integrate successful models and algorithms in production systems. • Use the best practices in science: data integrity, design, test, and implementation and documentation. • Mentor and guide junior members in the team. • Contribute to Amazon's Intellectual Property through patents and internal and external publications A day in the life The scientist will develop, enhance, automate, and manage science models from end to end. The scientist will also have the opportunity to present findings to cross functional team partners to drive improvements. He/she will work with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers and Business Partners to build analytical and science models. The scientist will be expected to provide clear and concise explanation to results and approaches as well as provide opinion and guidance on problem solving. About the team Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Science team owns the science and analytics for key AB problems including price setting and selection additions.