Careers

Lead innovations in transportation optimization at Amazon! We're seeking an exceptional Applied Science Manager to spearhead a team of scientists developing algorithms that revolutionize global logistics and transportation. Your work will directly impact millions of deliveries daily, optimizing one of the world's largest and most complex transportation networks. We are looking for leaders who can: - Navigate ambiguity and pioneer new methodologies where no prior solutions exist - Balance short-term operational needs with long-term strategic goals - Drive best practices and establish processes for scientific excellence across the organization - Demonstrate deep expertise in operations research, optimization, and machine learning applied to transportation systems Join us in reshaping the future of global logistics. Your innovations will define how goods move around the world, at an unprecedented scale. Key job responsibilities In this role, you will: - Drive the development of advanced optimization and machine learning solutions for applications in transportation - Lead multi-million dollar initiatives that significantly reduce costs and improve efficiency across Amazon's transportation network - Collaborate with cross-functional teams to translate theoretical breakthroughs into practical, high-impact solutions - Mentor and grow a team of talented scientists, fostering a culture of innovation and scientific excellence - Influence strategic decisions in Amazon's transportation network design and operations A day in the life One day, you might be deep in code, reviewing an optimization algorithm your team is proposing. The next, you're strategizing with business leaders, figuring out how to turn their ideas into concrete scientific projects. You're always making time to mentor your team, pushing them to think outside the box and tackle problems in new ways. You often get to engage in science. You'll be reading the latest academic papers, coming up with ways to apply research to Amazon's massive logistics network. About the team Our diverse team of research and applied scientists tackles complex challenges in transportation and logistics, developing algorithms that revolutionize how packages move worldwide. We collaborate closely with product managers and engineers, turning innovative ideas into real-world solutions that impact millions of deliveries daily. Our mission is to push the boundaries of logistics efficiency, reducing costs and environmental impact while delighting customers with faster deliveries. We thrive on solving big, messy problems using the latest in machine learning, AI, and optimization techniques. If you're passionate about applying science to real-world challenges at massive scale, you'll fit right in.

Amazon is seeking a motivated candidate to provide insights into opportunities for operational improvement through analytics. Role will require analysis, understanding of the systems workflow, cross-functional communication and issues management. The successful candidate is passionate about optimizing business processes and performance metrics, and takes a driven approach to identifying and prioritizing the most impactful efforts. This role will also build tools and support structures needed to analyze, dive deep to determine root cause of system errors, network changes and performance issues. This role will need to present findings to business partners to drive improvements and prioritize customer needs to deliver the right results. Key job responsibilities - Design and implement scalable and reliable approaches to support or automate decision making throughout the business. - Apply a range of science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. - Build using statistical, mathematical, econometric, network, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. - Acquire by building the necessary / ETL queries. - Establish scalable efficient, automated processes for large scale analyses, development, validation and implementation. - Analyze for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. - Validate against alternative approaches, expected and observed outcome, and other business defined key performance indicators. - Implement that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production. - Build relationships with stakeholders and counterparts. A day in the life As a Senior Data Scientist in Global Logistics, you'll start your day by reviewing the latest operational data and identifying areas for improvement. You might collaborate with cross-functional teams to design experiments, build predictive models, or optimize existing algorithms. Throughout the day, you'll dive deep into data, uncovering insights that drive business decisions. You'll present your findings to leadership, translating complex analyses into actionable recommendations. Your work will directly impact Amazon's ability to deliver products efficiently and meet customer expectations. About the team The Global Logistics Data Science team is at the forefront of innovation, leveraging cutting-edge technology and advanced analytics to revolutionize Amazon's supply chain. We're passionate about solving complex problems and driving continuous improvement in our logistics network. Our team values collaboration, creativity, and a relentless focus on customer satisfaction. Join us in shaping the future of global logistics through data-driven insights and technological innovation. 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 Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stock

"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." - Jeff Bezos, Founder & CEO. We didn’t make Amazon a trillion-dollar company, our customers did and we want to ensure that our customers always have a positive experience that keeps them coming back to Amazon. To help achieve this, the Worldwide Defect Elimination (WWDE) team, within Amazon Customer Service, relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE scientists solve complex problems and build scalable solutions to help our customers navigate through issues and eliminate systemic defects to prevent future issues. As an Applied Scientist, your role is pivotal in leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques to address customer issues at scale. You'll develop innovative solutions that summarize and detect issues, organize them using taxonomy, and pinpoint root causes within Amazon systems. Your expertise will drive the identification of responsible stakeholders and enable swift resolution. Utilizing the latest techniques, you will build an AI ecosystem that can efficiently comb over our billions of customer interactions (using a combination of media). As a part of this role, you will collaborate with a large team of experts in the field and move the state of defect elimination research forward. You should have a knack for leveraging AI to translate complex data insights into actionable strategies and can communicate these effectively to both technical and non-technical audiences. Key job responsibilities - Develop ML/GenAI-powered solutions for automating defect elimination workflows - Implement scalable and efficient scientific solutions in production environments - Design and implement robust metrics to evaluate the effectiveness of ML/AI models - Perform statistical analyses and statistical tests, including hypothesis testing and A/B testing - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation 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: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 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

"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." - Jeff Bezos, Founder & CEO. We didn’t make Amazon a trillion-dollar company, our customers did and we want to ensure that our customers always have a positive experience that keeps them coming back to Amazon. To help achieve this, the Worldwide Defect Elimination (WWDE) team, within Amazon Customer Service, relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE scientists solve complex problems and build scalable solutions to help our customers navigate through issues and eliminate systemic defects to prevent future issues. As an Applied Scientist, your role is pivotal in leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques to address customer issues at scale. You'll develop innovative solutions that summarize and detect issues, organize them using taxonomy, and pinpoint root causes within Amazon systems. Your expertise will drive the identification of responsible stakeholders and enable swift resolution. Utilizing the latest techniques, you will build an AI ecosystem that can efficiently comb over our billions of customer interactions (using a combination of media). As a part of this role, you will collaborate with a large team of experts in the field and move the state of defect elimination research forward. You should have a knack for leveraging AI to translate complex data insights into actionable strategies and can communicate these effectively to both technical and non-technical audiences. Key job responsibilities - Develop ML/GenAI-powered solutions for automating defect elimination workflows - Implement scalable and efficient scientific solutions in production environments - Design and implement robust metrics to evaluate the effectiveness of ML/AI models - Perform statistical analyses and statistical tests, including hypothesis testing and A/B testing - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation 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: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 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

Have you ever wished to build high standard Operations Research and Machine Learning algorithms to optimize one of the most complex logistics network? Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of algorithms are running behind the scenes to power the whole operation? If so, this role is for you. Amazon’s EU Network Design Analytics team is seeking a highly skilled Applied Scientist. Your role will focus on solving complex problems that impact our organization, particularly in developing advanced models for optimizing Amazon’s transportation network. You are the person we are looking for if youhave: • Amazing problem-solving abilities and technical curiosity. • Commitment to high standards in code performance and inventiveness. • Persistent ownership over research topics: you are proactive and bring your own ideas to the table. • Excellent communication skills to engage with various stakeholders inside the company. Key job responsibilities • Use state-of-the-art optimization techniques from the scientific literature to develop optimization models that have a direct impact on the real-life transportation network. • Explore pioneering modellings to solve the Amazon peculiar challenges, leveraging the access to data and computing power we have in house to bridge two seemingly separated fields: Operations Research and Machine Learning. • Collaborate closely with various stakeholders to develop a deep understanding of the problem. • Ensure your model can go to production by following high coding standards and seeking fast runtime. A day in the life You will typically engage in a mix of activities like conducting experiments, reviewing scientific literature, analyzing data, developing algorithms and deploying them into production, collaborating with cross-functional teams, and often presenting findings. You will be involved in brainstorming sessions with your scientific peers, actively participate in code reviews and paper reviews. The day involves a blend of hands-on research, coding, meetings, data analysis, and contributions to publications. About the team Our team is a very dynamic technical team where we foment learning and development on top of all. We insist on storng business understanding and ensure that all our work drives value for Amazon. We believe in learn by doing and having ownership are the best ways to develop knowledge and career. We are structured by functional skills and we partner and learn from one another.

"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." - Jeff Bezos, Founder & CEO. We didn’t make Amazon a trillion-dollar company, our customers did and we want to ensure that our customers always have a positive experience that keeps them coming back to Amazon. To help achieve this, the Worldwide Defect Elimination (WWDE) team, within Amazon Customer Service (CS), relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE scientists solve complex problems and build scalable solutions to help our customers navigate through issues and eliminate systemic defects to prevent future issues. As a Research Scientist, your role is pivotal in leveraging advanced Artificial Intelligence (AI) and Machine Learning (ML) techniques to address customer issues at scale. You'll develop innovative solutions that summarize and detect issues, organize them using taxonomy, and pinpoint root causes within Amazon systems. Your expertise will drive the identification of responsible stakeholders and enable swift resolution. Utilizing the latest techniques, you will build an AI ecosystem that can efficiently comb over our billions of customer interactions (using a combination of media). As a part of this role, you will collaborate with a large team of experts in the field and move the state of defect elimination research forward. You should have a knack for leveraging AI to translate complex data insights into actionable strategies and can communicate these effectively to both technical and non-technical audiences. Key job responsibilities - Develop ML/GenAI-powered solutions for automating defect elimination workflows - Design and implement robust metrics to evaluate the effectiveness of ML/AI models - Perform statistical analyses and statistical tests, including hypothesis testing and A/B testing - Recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation 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: - Medical, Dental, and Vision Coverage - Maternity and Parental Leave Options - Paid Time Off (PTO) - 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.

At Amazon we strive to be earth’s most customer- centric company and data is a foundational component to making this happen. The OTS Decision-Intelligence team is looking for Data Scientists who are excited to collaborate closely with Product Managers, Engineers, Research Scientists, and other Data Scientists to spearhead innovative solutions with LLM increasing Amazon’s ability to personalize Customer Service. As a successful data scientist, you need to deeply understand customers and how best to support them. You will identify specific and actionable opportunities to solve existing business problems. You need to be a sophisticated user of advanced quantitative techniques for answering specific business questions, and an expert at synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication. Key job responsibilities - Design and run experiments, research new algorithms, and find new ways to improve analytics to optimize the candidate and associate experience. - Research machine learning algorithms and implement by tailoring to business needs and test on large datasets. - Partner with scientists, engineers and product leaders to solve business and technology problems using scientific approaches to build new services that surprise and delight our customers. - Collaborate with BI/Data Engineer teams and drive the collection of new data and the refinement of existing data sources to continually improve data quality. - Foster culture of continuous engineering improvement through mentoring, feedback, and metrics. - Manipulating/mining data from databases (Redshift, SQL Server, Oracle DW, and Salesforce). - Providing analytical network support to improve quality and standard work results. - Translating business questions and concerns into specific quantitative questions that can be answered with available data using sound methodologies. In cases where questions cannot be answered with available data, work with engineers to produce the required data. - Retrieving, synthesizing, and presenting data in a format that is immediately useful to answering specific questions or improving system performance. - Applying statistical or machine learning knowledge to solve specific business problems. - Support Research Scientist in data exploration, feature identification, model optimization and performance monitoring. - Building decision-making models and proposing solutions for the business problem you defined. - Conducting written and verbal presentations to share insights and recommendations to audiences of varying levels of technical sophistication. A day in the life We thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environment. 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!

Interested in solving challenging problems using latest developments in Large Language Models and Artificial Intelligence (AI)? Amazon's Consumer Electronics Technology (CE Tech) organization is redefining shopping experiences leveraging state of the art AI technologies. We are looking for a talented Sr. Applied Scientist with a solid background in the design and development of scalable AI and ML systems and services, deep passion for building ML-powered products, a proven track record of executing complex projects, and delivering high business and customer impact. You will help us shape the future of shopping experiences. As a member of our team, you'll work on projects that directly impact millions of customers, and selling partners every single day. This role will provide exposure to state-of-the-art innovations in AI/ML systems (including GenAI). Technologies you will have exposure to, and/or will work with, include AWS Bedrock, Amazon Q, SageMaker, and Foundational Models such as Anthropic’s Claude / Mistral, among others. The types of initiatives you can expect to work on include: - Developing personalized recommendation systems that help customers find the right CE products for their needs. - Creating high quality educational content leveraging complex AI techniques to simplify complex product information. - Building intelligent automation solutions that generate customized bundles, gift guides and warranties personalization at scale This Sr. Applied Scientist is also expected to play a key role in raising the AI/ML skillset within the organization, so a passion for teaching/mentoring is important. This involves bringing deep AI/ML expertise to collaborations with other scientists, leading lunch & learn session, conducting tech talks, setting up regular office hours, evangelizing lessons learned & industry best practices, and more. The ideal candidate is one who possesses notable pedigree in ML-related academic work, along with deep, real-world, hands-on experience in executing/shipping AI-based products in a fast-paced setting. You will be looked up to as an ML expert that our organization’s leadership can rely on for guidance on AI/ML topics. Key job responsibilities - Design, implement, and productionalize AI/ML products at Amazon scale, in collaboration with other applied scientists and engineers, both within Consumer Electronics and more broadly across the Stores organization, - Develop ML/LLM workflows and end-to-end pipelines for data preparation, training, deployment, monitoring, etc., and ensure a high bar for the quality of architecture and design of our AIML systems and data infrastructure, - Leverage AWS AI services and other internal / publicly available external tools & services to accelerate our AI investments in CE Tech, - Be data-driven and possess a quantitative mindset. Grounded, detail-oriented, always backs up ideas with facts. Understand complex application data flows and bridge the gap between technical and business app requirement, - Identify state of the art models / solutions to enable new capabilities for code migration and code testing, drive down tech debt and increase operational efficiency, - Mentor other scientists, especially on AI/ML initiatives, and foster a culture of learning & collaboration. Provide thought leadership and hands-on support in selecting, defining, training and fine-tuning Large Language Models (LLMs), prompt engineering, and other GenAI efforts.

Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online by giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a world-class e-commerce platform. Within Amazon, the Selling Partner Services’s (SPS) goal is to enable third-party Sellers of any size by helping them build the business they want. We are the Core Selling Partner Experience (CSPE) team which defines, implements, and enforces quality standards for all Amazon-built experiences for all SPs worldwide. Key job responsibilities We are looking for an individual with a strong research background and a passion for solving unique problems to help us drive world class research. Our ideal candidate is someone who is customer-obsessed and detail oriented, and loves solving complex problems. You enjoy building things from scratch, are comfortable with change and ambiguity, and relish the chance to solve hard problems in short order. You recognize that the true measure of success of your work is based on the business impact your findings have over time. A day in the life • Design and execution of primary research studies (leveraging mainly quantitative methods) to generate actionable insights and recommendations for stakeholder teams. • Design and implement surveys, analyze data, and synthesize key insights • Execute quantitative research methods (e.g. factor analysis, shapleys, regression analysis, clustering, structural equation models, data imputations and weighting) • Apply sound research and business acumen to help the business not just solve complex questions but help it look around corners. • Design scalable and nimble mechanisms that help scale qualitative research solutions, tools and processes. • Build and manage relationships with internal stakeholders and external agency partners.

Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative models knowledge. Key job responsibilities As an Applied Scientist with the AIT team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our international customers in the form of products and services that make use of digital assistance technology. You will leverage Amazon’s heterogeneous data sources, unique but diverse international customer nuances and large-scale computing resources to accelerate advances in voice domain in multi-modal setup. The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in this vast and quickly evolving field. They thrive in fast-paced environments to will tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. A day in the life · Analyze, understand, and model customer behavior and the customer experience based on large scale data. Especially showing passion towards solving for international customer-centric challenges. · Build novel online & offline evaluation metrics an methodologies for personal digital assistants and customer scenarios, on multi-modal devices. · innovate and deliver deep learning based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning. · Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing · Contribute through industry first research to drive the innovation forward.