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Office locations include: Seattle WA, Bellevue WA, and Sunnyvale CA. Amazon’s Alexa is a cloud-based voice service that powers Amazon’s groundbreaking voice-powered devices. These devices are part of Amazon’s vision to build a computer in the cloud that is completely controlled by your voice. Alexa Music is a critical Alexa domain, focused on delivering magical music experiences that drive adoption and engagement with Alexa. The Alexa Audio Data and Insight (AUDI) team consists of talented Data Scientists, Business Intelligence Engineers, and Data Engineers. We seek an experienced Senior Data Scientist to drive Alexa Music customer engagement. You are the data science lead to define the ambiguous space. We are looking for a thought leader and you demonstrate this by delivering solutions, not just by having ideas. We encourage you to shape the business strategy with data driven recommendations. A successful candidate has an entrepreneurial spirit and wants to make a big impact on Alexa Music customers. You will develop strong working relationships and thrive in a collaborative team environment. Your role requires the ability to influence a team of contributors and interact with marketing executives. You draw from a broad data science expertise to mentor Scientists and Business Intelligence Engineers; following a rigorous scientific methodology, while providing leadership on complex technology issues. You provide guidance on cutting-edge methods in big data processing, data science literature, experimentation and careful consideration of modeling decisions. We expect you to have breadth of data science knowledge, familiar with casual inference and depth in predictive modeling (supervised learning) and A/B testing. Responsibilities - Develop predictive models and unsupervised learning to identify streamer resilience issues. - Drive scientific best practices across teams mentoring others based on learnings gained through Alexa Entertainment’s initiatives such as improving accuracy and reduce customer friction. - Proactively seek to identify business opportunities and provide solutions based on a broad and deep knowledge of Amazon’s data resources, industry best-practices, and work done by other teams. - Partner with, coordinate, and influence multiple teams outside of Alexa Entertainment (Alexa Finance, Alexa Experience Data, Amazon Music, etc.), to support key initiatives. - Be the voice of the customer (end customer and data consumer), aligning stakeholders with scalable mechanisms to incorporate our models into product and engineering decision-making processes A day in the life When we work together, we operate: * Centralize the sprint and consolidate to one queue but still give stakeholder visibility and continue to ask feedback; * Advocate knowledge sharing and code review; * Avoid single point of failure with a secondary owner as code reviewer, mentor, backup, etc; * Consolidate across org initiatives to the same primary owner; * Train everyone on the must-have knowledges; * Carve out time for high-sev tt, urgent requests, tech debt failure; * Favor problem statement other than data requests About the team We are a team made up of Business Intelligence Engineers (BIEs), Data Engineers (DEs), and Data Scientists (DS’s), who bring with deep experience in both business analytics and data science. We cover the data needs of Music, Radio, Podcast, Books, and the Audio Category. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Seattle, WA, USA | Sunnyvale, CA, USA

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. 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. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! Search Supply and Experiences, within Sponsored Products, develops cutting-edge AI solutions to improve shopper discovery experiences. Our efforts our focused on solving these large and ambiguous problem for both the Search page and more recent conversational-based shopping experience. To accomplish this, we are investing in large language models (LLM), multi-modal Generative AI models, and other related DL methods. We work collaboratively across other organizations and influence the design of experiences that improve the shopper experience on Amazon by making discovery easy and efficient. We are looking for a passionate Principal Applied Scientist with expertise in the fields of Artificial Intelligence (AI), Natural Language Processing (NLP), and Information Retrieval, to invent and build scalable solutions for improving sponsored products experience in the context of Amazon Search. A successful candidate will have a 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 end-to-end Generative AI solutions (mainly with LLMs and multi-modal foundation models), enjoy operating in dynamic environments, be self-motivated to take on challenging high-ambiguity problems to deliver big customer impact. Key job responsibilities As a Principal Applied Scientist in the team, you will: - Seek to understand in depth the Sponsored Products offering at Amazon and identify areas of opportunities to grow our business using AI solutions. - Mentor and guide the applied scientists in our organization and hold us to a high standard of technical rigor and excellence in ML. - Design and lead AI roadmaps and solutions aimed at helping our Amazon shoppers have a delightful shopping experience while creating long term value for our sellers. - Work with our engineering partners and draw upon your experience to meet latency and other system constraints. - Be an influencer, and drive the strategic and scientific vision in collaboration with partner teams. - Identify untapped, high-risk technical and scientific directions, and devise new research directions that you will drive to completion and deliver. - Be responsible for communicating our AI innovations to the broader internal & external scientific community. We are open to hiring candidates to work out of one of the following locations: New York, NY, USA

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 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 cutting-edge projects that directly impact millions of customers, selling partners, and employees 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 As a successful applied scientist in the team, you are a well-rounded, analytical problem solver who enjoys diving into data from various businesses, is excited about investigations and machine learning algorithms, can multi-task, and can credibly interface between engineers and business stakeholders. Your expertise in synthesizing and communicating insights and recommendations to audiences of varying levels of technical sophistication will enable you to answer specific business questions and innovate for the future. This is a fast evolving space, and we are looking for team players that can learn new skills and stretch their technical capabilities to help the team succeed on behalf of our customers. In this role, you will be able to dive deep into data, discovering root causes, and designing both short-term and long-term solutions. This candidate will be a person who likes to have fun, loves to learn, and wants to innovate in the world of AI. Key job responsibilities - Design, implement, and productionalize AI/ML products at Amazon scale, in collaboration with other applied scientists and engineers, - Develop data architectures, NLP algorithms, and machine learning, deep learning, and Generative AI solutions, - Use ML tools to annotate data, 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, - 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, - Analyze and extract relevant information from large amounts of historical data — provide hands-on data wrangling expertise, - 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, - Design experiments to evaluate the performance of the model, including analyzing A/B test results to estimate the impact of the model - 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. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

Amazon Web Services (AWS) offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. These services are trusted by the largest enterprises and the hottest start-ups to power a wide variety of workloads including web and mobile applications, data processing and warehousing, storage, archive, and many others. We are looking for an applied scientist to help us define and build a new enterprise application. AWS Applications is building services in Supply Chain Management and is looking for a scientist to tackle complex science problems in Supply Chain including demand planning, supply planning and sustainability which will be used by our customers across a wide range of industries. We operate a fast growing business and our journey has only started. Our mission is to build the most efficient and optimal supply chain software on the planet, using our science and technology as our biggest advantage. We aim to leverage cutting edge technologies in optimization, operations research, and machine learning to grow our businesses. As an Applied Scientist, you’ll design, model, develop and implement state-of-the-art models and solutions used by users worldwide. As part of your role you will regularly interact with software engineering teams and business leadership. The focus of this role is to research, develop, and deploy models to improve state-of-the-art for time series. You will have the opportunity to work on our assistant solution allowing our users to ask data questions in natural language and get intelligent insights and exceptions. Key job responsibilities Lead and partner with the engineering to drive modeling and technical design for complex business problems. Develop accurate and scalable machine learning models to solve our hardest supply chain problems. Lead complex modeling analyses to aid management in making key business decisions and set product direction. A day in the life 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. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Seattle, WA, USA

Do you want to join an innovative team of scientists who use machine learning to help Amazon provide the best experience to our Selling Partners by automatically understanding and addressing their challenges, needs and opportunities? Do you want to build advanced algorithmic systems that are powered by state-of-art ML, such as Causal Modeling, Deep Learning, Natural Language Processing, Large Language Models, and Computer Vision, to seamlessly engage with Sellers? Are you excited by the prospect of analyzing and modeling terabytes of data and creating cutting edge algorithms to solve real world problems? Do you like to build end-to-end business solutions and directly impact the profitability of the company and experience of our customers? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Selling Partner Experience Science team. Key job responsibilities - Use statistical and machine learning techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed. - Design, develop and deploy highly innovative models to interact with Sellers and delight them with solutions. - Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features. - Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation. - Research and implement novel machine learning and statistical approaches. - Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment. About the team Selling Partner Experience Science is a growing team of scientists, engineers and product leaders engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. Focused on collaboration, innovation and strategic impact, we work closely with other science and technology teams, product and operations organizations, and with senior leadership, to transform the Selling Partner experience. We are open to hiring candidates to work out of one of the following locations: Denver, CO, USA | Seattle, WA, USA

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Manager Applied Science with a strong deep learning and LLM background, to build industry-leading foundation models. As an Applied Science Manager at Amazon, you will lead a team of scientists in the invention, design, development, and deployment of services that impact millions of users each day. In this role, you will use your management, research and production experience to develop the team, communicate direction and achieve the results in a fast-paced environment. You will have significant influence on our overall LLM strategy by helping define product features, drive the system architecture, and spearhead the best practices that enable a quality product. About the team The AGI team has a mission to push the envelope in Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), and Audio Signal Processing, in order to provide the best-possible experience for our customers. Key job responsibilities • Conducting and coordinating research leading to improved Alexa AI systems. • Owning the strategic planning and project management for technical initiatives. • Providing technical and scientific guidance to your team members. • Communicating effectively with senior management as well as with colleagues from science, engineering and business backgrounds. • Supporting the career development of your team members. We are open to hiring candidates to work out of one of the following locations: Pittsburgh, PA, USA

The AWS Center for Quantum Computing in Pasadena, CA, is looking to hire a Research Scientist specializing in Mixed-Signal Design. Working alongside other scientists and engineers, you will design and validate hardware performing the control and readout functions for AWS quantum processors. Candidates must have a strong background in high-speed, mixed-signal design at the printed circuit board (PCB) level. Working effectively within a cross-functional team environment is critical. The ideal candidate will have a proven track record of hardware development through multiple product life-cycles, from requirements generation to design validation. 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. Key job responsibilities Our scientists and engineers collaborate across diverse teams and projects to offer state of the art, cost effective solutions for the control of AWS quantum processor systems. You’ll bring a passion for innovation, collaboration, and mentoring to: Solve layered technical problems, often ones not encountered before, across our hardware and software stacks. Develop requirements with key system stakeholders, including quantum device, test and measurement, cryogenic hardware, and theory teams. Design, implement, test, deploy, and maintain innovative solutions that meet both strict performance and cost metrics. Provide mentorship to junior team members. Research enabling technologies necessary for AWS to produce commercially viable quantum computers. 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. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices. We are open to hiring candidates to work out of one of the following locations: Pasadena, CA, USA

We are seeking experienced Senior Applied Machine Learning Scientists to develop innovative ML solutions in anomaly detection with use cases of price error detection. Amazon retail pricing generates algorithmic prices for 100s of millions of products weekly and ensuring we publish error free and validated price is key to our core retail business. Key job responsibilities - You will partner with engineers, and product leaders to break down complex price error issues, identify key requirements, innovate, design, & deploy appropriate scientific solutions, and successfully drive the creation of positive customer and business impact - You will summarize your research findings, and present via internal papers and science forms - You are adept at translating business objectives into specific quantitative approaches that can be solved with the vast amount of available Amazon data - You are passionate about the getting the science details right, while balancing the practical considerations of real world production models. About the team Retail pricing science is a centralized diverse team of STEM scientists that develop statistical, ML, RL, optimization and economic models that drive pricing for products sold by Amazon worldwide, as well as monitoring of prices and experimentations in pricing. The team has a dual focus on competitiveness and long term financial optimality. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

As a Principal Applied Scientist, you are a trusted leader and part of technical leadership. You will drive the next phase of innovation, pushing scientific boundaries to solve the most complex problems. You will draw on vast experience in industry to set the standard for scientific excellence. You will make decisions that impact the way we build our products, creating even better experiences for our customers. Key job responsibilities Define key research directions, adopting or inventing new machine learning techniques Conduct rigorous experiments, publishing results, and ensuring that research is applied. Develop long-term strategies, influencing teams to adopt those strategies, propose goals and deliver on them. Participate in organizational planning, hiring, mentorship and leadership development. Be technically fearless, with a passion for building scalable science and engineering solutions. Act as a key scientific resource in full-cycle development (conception, design, implementation, testing to documentation, delivery, and maintenance). We are open to hiring candidates to work out of one of the following locations: Sunnyvale, CA, USA

Are you captivated by the potential of generative AI to revolutionize user experiences? We offer a rare opportunity to blend your enthusiasm for cutting-edge innovations with the goal of enhancing Amazon's customer experience. This role involves leveraging Generative AI to create visually engaging and personalized content, transforming how millions of Amazon's customers discover and interact with products. Key job responsibilities In this dynamic position, you will be at the forefront of developing, launching, and optimizing AI-powered visual content across Amazon's digital interfaces. Working closely with a multidisciplinary team of applied scientists, software engineers, designers, and product managers, you will help shape our strategy and drive the implementation of cutting-edge solutions that enhance customer engagement through visually captivating personalized experiences. Your work will not only involve the application of Generative AI for visual content creation but also the utilization of Large Language Models to understand and predict customer preferences, delivering a truly personalized shopping journey. A successful candidate will have a robust background in conducting machine learning research and developing data analysis methodologies, strong technical proficiency, excellent communication skills, and a drive to achieve results in a dynamic research and development environment. - Designing and implementing new features and machine learned models, including the application of state-of-art deep learning to solve computer vision, image generation and personalization problems. - Analyzing data and metrics relevant to shopping experiences. - Working with teams worldwide on global projects.` About the team Amazon’s Merchandising Automation team is a high-performing group that leverages Amazon’s expertise in machine learning, big data, and distributed systems to deliver the best shopping experiences for our customers. We work full stack, from foundational backend systems to future-forward user interfaces. Our team’s culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making. We care deeply about our customers, as well as the well-being and growth of our team members. We are looking for creative and innovative engineers with a similar penchant for deeply-technical problem solving and the ability to lead and deliver while upholding Amazon’s leadership principles. We are open to hiring candidates to work out of one of the following locations: Beijing, 11, CHN