Careers

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, the WW Amazon Logistics, Business Analytics 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. We are looking for an enthusiastic, customer obsessed, Sr. Applied Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools. The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon. Ideal candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, and the ability to use data and research to make changes. This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment. Responsibilities may include: - Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations - Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans - Managing multiple projects simultaneously - Working with technology teams and product managers to develop new tools and systems to support the growth of the business - Communicating with and supporting various internal stakeholders and external audiences

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, the WW Amazon Logistics, Business Analytics 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. We are looking for an enthusiastic, customer obsessed, Sr. Applied Scientist with good analytical skills to help manage projects and operations, implement scheduling solutions, improve metrics, and develop scalable processes and tools. The primary role of an Operations Research Scientist within Amazon is to address business challenges through building a compelling case, and using data to influence change across the organization. This individual will be given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions. Decisions and tools made in this role will have significant impact to the customer experience, as it will have a major impact on how the final phase of delivery is done at Amazon. Ideal candidates will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of operations research, and the ability to use data and research to make changes. This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment. Responsibilities may include: - Develop input and assumptions based preexisting models to estimate the costs and savings opportunities associated with varying levels of network growth and operations - Creating metrics to measure business performance, identify root causes and trends, and prescribe action plans - Managing multiple projects simultaneously - Working with technology teams and product managers to develop new tools and systems to support the growth of the business - Communicating with and supporting various internal stakeholders and external audiences

The RBKS AI team is responsible innovating AI features for Ring and Blink cameras, with a mission to make our neighborhood safer. We are working in the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking AI Applied Scientists to work on initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to shape next-generation home security technology while advancing the field of AI algorithms and systems. The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience. Key job responsibilities * Design and develop advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding * Develop privacy-preserving CV and GenAI models and systems, focusing on efficient fine-tuning and on-device and in-cloud inference * Map product requirements into science solutions and deliver high-quality science artifacts that ship to products * Collaborate with scientists, engineers, product/program managers and other cross-functional teams * Provide technical leadership on AI products/features, and develop and mentor junior scientists on the team.

The RBKS AI team is responsible innovating AI features for Ring and Blink cameras, with a mission to make our neighborhood safer. We are working in the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking AI Applied Scientists to work on initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to shape next-generation home security technology while advancing the field of AI algorithms and systems. The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience. Key job responsibilities - Design and develop advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding - Develop privacy-preserving CV and GenAI models and systems, focusing on efficient fine-tuning and on-device and in-cloud inference - Map product requirements into science solutions and deliver high-quality science artifacts that ship to products - Collaborate with scientists, engineers, product/program managers and other cross-functional teams

The Global Real Estate and Facilities (GREF) team provides real estate transaction expertise, business partnering, space & occupancy planning, design and construction, capital investment program management and facility maintenance and operations for Amazon’s corporate office portfolio across multiple countries. We partner with suppliers to ensure quality, innovation and operational excellence with Amazon’s business and utilize customer driven feedback to continuously improve and exceed employee expectations. Within GREF, the newly formed Global Transformation & Insights (GTI) team is responsible for Customer Insights, Business Insights, Creative, and Communications. We are a group of builders, creators, innovators and go getters. We are customer obsessed, and index high on Ownership. We Think Big, and move fast, and constantly challenge one another while collaborating on "what else", "how might we", and "how can I help". We celebrate the unique perspectives we each bring to the table. We thrive in ambiguity. The ideal Senior Data Scientist candidate thrives in ambiguous environments where the business problem is known, though the technical strategy is not defined. They are able to investigate and develop strategies and concepts to frame a solution set and enable detailed design to commence. They must have strong problem-solving capabilities to isolate, define, resolve complex problems, and implement effective and efficient solutions. They should have experience working in large scale organizations – where data sets are large and complex. They should have high judgement with the ability to balance the right data fidelity with right speed with right confidence level for various stages of analysis and purposes. They should have experience partnering with a broad set of functional teams and levels with the ability to adjust and synthesize their approaches, assumptions, and recommendations to audiences with varying levels of technical knowledge. They are mentors and strong partners with research scientists and other data scientists. Key job responsibilities - Demonstrate advanced technical expertise in data science - Provide scientific and technical leadership within the team - Stay current with emerging technologies and methodologies - Apply data science techniques to solve business problems - Guide and mentor junior data scientists - Share knowledge about scientific advancements with team members - Contribute to the technical growth of the organization - Work on complex, high-impact projects - Influence data science strategy and direction - Collaborate across teams to drive data-driven decision making

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

The RBKS AI team is responsible innovating AI features for Ring and Blink cameras, with a mission to make our neighborhood safer. We are working in the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking AI Applied Scientists to work on initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to shape next-generation home security technology while advancing the field of AI algorithms and systems. The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience. Key job responsibilities - Design and develop advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding - Develop privacy-preserving CV and GenAI models and systems, focusing on efficient fine-tuning and on-device and in-cloud inference - Map product requirements into science solutions and deliver high-quality science artifacts that ship to products - Collaborate with scientists, engineers, product/program managers and other cross-functional teams

The Sr. Manager Applied Science will lead a cross-functional team of 30+ builders in pioneering GenAI experiences for +1.3MM Amazon Sponsored Product and Brand (SPB) advertisers. The leader will invent and build the SPB-Agent, a GenAI platform which will transform retail-media advertising for SPB advertisers, from emerging brands to global brands selling on Amazon. SPB-Agent will serve as an intelligent advisor integrated directly into Amazon Ad Console and Selling Partner portals (Seller Central and Vendor Central). Through conversational interfaces and deep reasoning, it will help advertisers discover growth opportunities, optimize campaign performance, and execute sophisticated strategies. The leader will drive this transformation from vision to reality, directly shaping the intersection of generative AI and advertising at unprecedented scale. Key job responsibilities As a Sr. Applied Science Manager, you will: - Lead a cross-functional team of Applied Scientists, Engineers, and Product leaders. - Define and deliver the science and engineering roadmap for SPB Agent, translating business goals into agentic experiences and driving integration of the SPB-Agent into advertising applications. - Hire and develop top talent, providing technical direction and career growth guidance to scientists and engineers within and across organizations. - Stay current on research advances, industry trends, and system architectures relevant to agentic AI for SPB’s advertising business. About the team The Advertiser Guidance team sits at the heart of Sponsored Products and Brands, tackling advertising's most complex challenges: how do you guide 1.3+ million advertisers—from first-time sellers to global brands—to create and manage campaigns that drive real business growth? Our advertisers span every industry, budget level, and sophistication—selling everything from handmade crafts to consumer electronics. They manage campaigns with vastly different goals: some prioritize brand awareness, others focus on conversion efficiency, and many need help understanding what's even possible. This diversity creates immense technical complexity, but also a transformative opportunity to drive impact at scale.

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We bridge human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. SPB Global Optimization (GO) team was created recently to accelerate GMSP growth in non-US markets. We are helping drive profitability across all marketplaces by creating delightful experiences for shoppers and advertisers alike. We are working backwards from customers to re-imagine Amazon's advertising stack from the ground up, leveraging multilingual and multi-modal GenAI technologies including semantic hash designs, LLMs, and more to deliver solutions that scale worldwide from day one. This is your opportunity to be part of a small, high-impact team that prototypes, invents, and ships state-of-the-art solutions that will define the future of digital advertising. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. Key job responsibilities - Lead a cross-functional team of Applied Scientists, Machine Learning Engineers, and Software Development Engineers in delivering GMSP acceleration across multiple EU markets. - Understand the unique needs of advertisers and shoppers in diverse marketplaces to craft the vision and milestones for SPB GO program in EU to create delightful experiences that increase engagement and satisfaction for both customer groups. - Architect next-generation systems that replace legacy monolithic infrastructure with scalable, intelligent solutions that scale worldwide on day one. - Pioneer breakthrough applied science in multi-modal GenAI applications for advertising, combining text, image, and multi-lingual support. - Drive end-to-end innovation from research ideation through production deployment at Amazon scale. - Hire and develop top talent, providing technical direction and career growth guidance to scientists and engineers within and across organizations. Your contributions will be highly visible and instrumental in hitting goals carried by Amazon's leadership team (S-Team). A diverse group of stakeholders will rely on your vision and messaging, including advertisers, agencies, and internal ad sales and operations teams.

Alexa+ is Amazon’s next-generation, AI-powered virtual assistant. Building on the original Alexa, it uses generative AI to deliver a more conversational, personalized, and effective experience. As an Applied Scientist II on the Alexa Sensitive Content Intelligence (ASCI) team, you'll be part of an elite group developing industry-leading technologies in attribute extraction and sensitive content detection that work seamlessly across all languages and countries. In this role, you'll join a team of exceptional scientists pushing the boundaries of Natural Language Processing. Working in our dynamic, fast-paced environment, you'll develop novel algorithms and modeling techniques that advance the state of the art in NLP. Your innovations will directly shape how millions of customers interact with Amazon Echo, Echo Dot, Echo Show, and Fire TV devices every day. What makes this role exciting is the unique blend of scientific innovation and real-world impact. You'll be at the intersection of theoretical research and practical application, working alongside talented engineers and product managers to transform breakthrough ideas into customer-facing experiences. Your work will be crucial in ensuring Alexa remains at the forefront of AI technology while maintaining the highest standards of trust and safety. We're looking for a passionate innovator who combines strong technical expertise with creative problem-solving skills. Your deep understanding of NLP models (including LSTM and transformer-based architectures) will be essential in tackling complex challenges and identifying novel solutions. You'll leverage your exceptional technical knowledge, strong Computer Science fundamentals, and experience with large-scale distributed systems to create reliable, scalable, and high-performance products that delight our customers. Key job responsibilities In this dynamic role, you'll design and implement GenAI solutions that define the future of AI interaction. You'll pioneer novel algorithms, conduct ground breaking experiments, and optimize user experiences through innovative approaches to sensitive content detection and mitigation. Working alongside exceptional engineers and scientists, you'll transform theoretical breakthroughs into practical, scalable solutions that strengthen user trust in Alexa globally. You'll also have the opportunity to mentor rising talent, contributing to Amazon's culture of scientific excellence while helping build high-performing teams that deliver swift, impactful results. A day in the life Imagine starting your day collaborating with brilliant minds on advancing state-of-the-art NLP algorithms, then moving on to analyze experiment results that could reshape how Alexa understands and responds to users. You'll partner with cross-functional teams - from engineers to product managers - to ensure data quality, refine policies, and enhance model performance. Your expertise will guide technical discussions, shape roadmaps, and influence key platform features that require cross-team leadership. About the team The mission of the Alexa Sensitive Content Intelligence (ASCI) team is to (1) minimize negative surprises to customers caused by sensitive content, (2) detect and prevent potential brand-damaging interactions, and (3) build customer trust through appropriate interactions on sensitive topics. The term “sensitive content” includes within its scope a wide range of categories of content such as offensive content (e.g., hate speech, racist speech), profanity, content that is suitable only for certain age groups, politically polarizing content, and religiously polarizing content. The term “content” refers to any material that is exposed to customers by Alexa (including both 1P and 3P experiences) and includes text, speech, audio, and video.