Careers

We are seeking a Senior Research Scientist who is curious, driven, and passionate about data insights and analytics. You will design, execute, and analyze user experiments to guide the development of Amazon FinTech products from a research prototype to launch. This role is on the FinTech UX Design and Research team with the impact, autonomy, flexibility, and speed of innovation of a high-growth startup, powered by the resources of Amazon. You will drive a program that oversees customer sentiment and attitudes at scale, using your unique research skills to uncover customer insights that help drive tactical and strategic product decisions across the organization. You will work alongside UX Designers and Researchers to advocate for our customers through quantitative and qualitative storytelling. Here at Amazon, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/life Balance Our team puts a high value on work-life balance. It isn’t about how many 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 believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship all while having fun. Our senior members enjoy one-on-one mentoring and thorough, but kind, design reviews. Key job responsibilities In this role, you will: • Own the development and establishment of a research program focused on measuring customer experience outcomes (CXO) or Voice of the Customer, which provides thought leadership to product teams and the broader organization. • Design and execute empirical research of medium to large scale that measures customer behavior and sentiment. Own the end-to-end analysis process including defining key business questions, recommending measures, data sources, methodology and study design, dataset creation, analysis execution, interpretation and presentation and publication of results. • Triangulate insights with key top-of-funnel metrics (e.g. usage, customer engagement) and other datasets to develop regular ways to report on drivers of movement with recommended action items aligned to business goals. • Own all communications to project members and stakeholders on progress, issues, and risks, provide pre and post launch communications to impacted teams. Communicate insights to non-scientific audiences in a compelling way. • Work with UX Design and Product partners to establish Voice of the Customer success metrics and tools for tracking and developing ongoing program improvement plans to meet relevant business needs. • Create long-term research roadmaps and opportunity frameworks that align to and inform product strategy and goals. • Collaborate with UX designers, product managers, and engineering to evaluate prototypes, functional mockups, usability testing, A/B testing, etc. • Build durable, scalable points-of-view and knowledge management tools that are leveraged within the Amazon FinTech Team and by other organizations across Amazon. • Advocate for the right insights and prioritization of research – ensure the right research questions are being asked; educate the organization on opportunities revealed by your own research and that of others; create and execute against long-term research roadmaps and opportunity frameworks that align to and inform high-level business strategy and goals.

Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Generative AI solutions with LLMs, enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, moving fast to ship solutions and then iterating on user feedback and interactions. Key job responsibilities As an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations. You will analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence. You will work on core LLM technologies, including Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the form of novel products and services.

Amazon's Global Talent Management and Compensation (GTMC) Center for Applied Science and Economics (CASE) builds science models supporting employee career-related experiences such as their evaluation, learning and development, onboarding, and promotion for Amazonians. Additionally, the team conducts experiments for a wide range of employee and talent-related product features, and measures the impact of product and program initiatives in enhancing our employees' career experiences at Amazon. Amazon's GTMC team is looking for Economists who are highly specialized in the field of macroeconomics and time series forecasting. The economist will enhance science models by enabling them to adapt to external talent dynamics, enabling personalized, consistent, and high-impact employee experiences across the talent lifecycle. This will make the models more responsive to evolving market conditions and enhance the alignment of Amazon-wide talent strategies with team and organization-specific strategic objectives. Key job responsibilities The Economists within GTMC will be primarily involved in building advanced forecasting and time series models that account for the nuances of aggregate econometric modeling within the HR space. This includes modeling the inter-relationship of various talent outcomes, as well as scenario planning and modeling tasks to quantify the implications of external macro as well as industry-level shocks on key HR talent outcomes. The economists will closely collaborate with a range of scientists from different backgrounds, as well as program and product leaders, to implement and assess the science solutions into the company's products.

Come join the AWS AI science team in building the next generation models for intelligent automation. AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops. We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making. We are located in the USA (Seattle, Pasadena, Bay Area). About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

The NA AMZL Supply Chain organization leads the innovation of Amazon’s Last Mile. We are an Operations org that hires and manages associates to deliver packages next day and sub-same day. The Execution and Planning Science (EPS) team sits within NA AMZL Supply Chain with the mission to build world-class automated Science-Tech products that enable ultra-fast delivery speeds for Amazon customers and job market opportunities for Amazon associates. Our key vision is to transform the online experience. We’re growing in scale and volume, by orders of magnitude. You will develop Science-Tech solutions to craft business strategy and roadmap to enable some of Amazon’s biggest brands to delight millions of customers. To succeed, we need senior technical leaders to forge a path into the future by building innovative, maintainable, and scalable systems. At Amazon, we are constantly inventing and re-inventing to be the most associate-centric company in the world. To get there, we need exceptionally talented, bright, and driven people. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers. We are looking for an Applied Scientist who will be the science lead for all key optimization initiatives, responsible for building models and prototypes for labor planning systems, and will require close collaboration with other scientists on the team that are developing state-of-the-art optimization algorithms to scale. This role spans the innovation pipeline - from identifying business needs, to developing new optimization and prediction techniques, to prototyping and implementation by working closely with colleagues in engineering, product management, operations, retail and finance Key job responsibilities As a member of the scientist team, you will play an integral part on our Operations org with the following technical and leadership responsibilities: - Help the team define the forward-looking Science roadmap and vision by helping to identify, disambiguate and seek out new opportunities - Interact with engineering, operations, science and business teams to develop an understanding and domain knowledge of processes, system structures, and business requirements - Apply domain knowledge and business judgment to identify opportunities and quantify the impact aligning research direction to business requirements and make the right judgment on research project prioritization - Develop scalable models to derive optimal or near-optimal solutions to existing and new scheduling challenges - Create prototypes and simulations to test devised solutions - Advocate technical solutions to business stakeholders, engineering teams, as well as executive-level decision makers - Work closely with engineers to integrate prototypes into production system - Create policy evaluation methods to track the actual performance of devised solutions in production systems, identify areas with potential for improvement and work with internal teams to improve the solution with new features - Mentor and supervise the work of junior scientists on the team for technical development and their career development and growth - Present business cases and document models, analyses, and their results in order to influence important decisions

AWS AI/ML is looking for world class scientists and engineers to join its AI Research and Education group working on foundation models, large-scale representation learning, and distributed learning methods and systems. At AWS AI/ML you will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and innovate on new representation learning solutions. You will interact closely with our customers and with the academic and research communities. You will be at the heart of a growing and exciting focus area for AWS and work with other acclaimed engineers and world famous scientists. Large-scale foundation models have been the powerhouse in many of the recent advancements in computer vision, natural language processing, automatic speech recognition, recommendation systems, and time series modeling. Developing such models requires not only skillful modeling in individual modalities, but also understanding of how to synergistically combine them, and how to scale the modeling methods to learn with huge models and on large datasets. Join us to work as an integral part of a team that has diverse experiences in this space. We actively work on these areas: * Hardware-informed efficient model architecture, training objective and curriculum design * Distributed training, accelerated optimization methods * Continual learning, multi-task/meta learning * Reasoning, interactive learning, reinforcement learning * Robustness, privacy, model watermarking * Model compression, distillation, pruning, sparsification, quantization About the team Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Are you an experienced applied science professional who is passionate about making a big impact? Are you interested in a high impact role at the world’s preeminent cloud computing company? The AWS Sustainability Science team is hiring an Applied Scientist. This role will support developing scalable methods and models to assess and allocate the environmental impacts of AWS data centers and cloud computing services from manufacturing, transportation, use, and end-of-life. This work will drive a deeper understanding of AWS’s environmental impacts, and enable strategic communication of our carbon emissions. The ideal candidate will have industry experience in modeling data center sustainability impacts. You will help the team to define strategy and implement tooling to identify, ingest, harmonize, store, and develop models to utilize strategic data from both internal and external sources. The candidate should be comfortable working with imperfect data, identifying sources of uncertainty, and finding public data to fill the gaps where needed. The successful candidate must have strong analytical skills and the ability to apply systems thinking to complex, fast moving problems. The candidate will coordinate with research scientists, sustainability specialists, and software engineers in deploying the developed methods and models into production. Key job responsibilities In this role you will be responsible for: -Analyze complex datasets used to make decisions regarding data center infrastructure and cloud services, -Drive the design, development, and execution of scientific research projects and data models, -Implement sustainability impact assessment models and algorithms to improve the sustainability performance of existing systems, processes, and products, -Perform data analysis and provide visualizations, -Use modeling, simulation, and optimization to design processes, algorithms, and prediction/classification systems, -Investigate the applicability of new approaches to business problems and products by combining theory and experimentation, -Quantify business impact and influence go/no-go decisions on corporate initiatives, -Solve analysis problems that improve Amazon’s products and advance our scientific knowledge -Work closely with software engineering teams to drive real-time model implementations and new features A day in the life Each day you will interact with different teams responsible for all aspects of hardware and data centers. Your work will span the life cycle of our operations and allow you to influence how we develop and implement sustainability practices. You will have the opportunity to work on projects locally and globally. About the team Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

This role leads all science efforts to eliminate customer issues at scale across Amazon. Amazon receives millions of contacts annually (from chats, emails, customer service contacts, etc.) , representing all kinds of issues which we need to organize, root cause, size, and route to resolving teams across the company. We support tools and services for both manual and automated resolution workflows (e.g., taxonomy creation, topic modeling, semantic search, sentiment analysis, anecdote detection, AI Agent Creation/Assistance) which leverage a spectrum of Scientific techniques across both classical Machine Learning (ML) and Natural Language Processing (NLP)/GenAI. This role is highly impactful, overseeing the development of all models powering the identification and remediation mechanisms above to resolution. In leading the science team, you will collaborate with multiple partner teams (Product, Engineering, Program, Finance) and are responsible for: - Setting the scientific vision/ Roadmap - Establishing scientific culture and standards for all the scientists (including publication, and time for innovation) - Delivering technical solutions in collaboration with Product and Engineering partners - Hire and develop top technical talent (recruitment, skill development, etc.). In this role you have the opportunity to work on a variety of ML and engineering challenges (scale, latency, tools and tech), and be given the flexibility to continually learn new skills. Key job responsibilities - Set the scientific vision and roadmap for the team - Establish scientific culture and standards for all the scientists (publication, best practices, reviews, etc.) - Deliver solutions to the core business problems above and influencing business partners - Hire and develop the team (recruiting top talent, skill development, promotions, etc.). A day in the life If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. The Search Ranking and Interleaving (R&I) team within the Marketplace Intelligence org in SP is responsible for determining which ads to show in Amazon search, where to place them, how many ads to place, and to which customers. This helps shoppers discover new products while helping advertisers put their products in front of the right customers, aligning shoppers’, advertisers’, and Amazon’s interests. To do this, we apply a broad range of machine learning, causal inference, and optimization techniques to continuously explore, learn, and optimize the ranking and allocation of ads on the search page. We are an interdisciplinary team with a focus on customer obsession and inventing and simplifying. Our primary focus is on improving the SP experience in search by gaining a deep understanding of shopper pain points and developing new innovative solutions to address them. We are looking for an Applied Scientist to join the Search Ranking team in MI. The team is responsible for improving the quality of ads shown to users (e.g., relevance, personalized and contextualized ranking to improve shopper experience and business metrics) via online experimentation, ML modeling, simulation, and online feedback. As an Applied Scientist on this team, you will identify big opportunities for the team to make a direct impact on customers and the search experience. You will work closely with with search and retail partner teams, software engineers and product managers to build scalable real-time ML solutions. You will have the opportunity to design, run, and analyze A/B experiments that improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact while broadening your technical skillset. Key job responsibilities - Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon. - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity. - Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions. - Develop efficient algorithms for multi-objective optimization using deep learning methods to find operating points for the ad marketplace then evolve them - Research new and innovative machine learning approaches.