Careers

The Artificial General Intelligent team (AGI) seeks an Applied Scientist with a strong background in machine learning and production level software engineering to spearhead the advancement and deployment of cutting-edge ML systems. As part of this team, you will collaborate with talented peers to create scalable solutions for an innovative conversational assistant, aiming to revolutionize user experiences for millions of Alexa customers. The ideal candidate possesses a solid understanding of machine learning fundamentals and has experience writing high quality software in production setting. The candidate is self-motivated, thrives in ambiguous and fast-paced environments, possess the drive to tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. Join us in our mission to redefine industry standards and provide unparalleled experiences for our customers. You will be expected to: · Analyze, understand, and model customer behavior and the customer experience based on large scale data · Build and measure novel online & offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints · Create, innovate and deliver deep learning, policy-based learning, and/or machine learning based algorithms to deliver customer-impacting results · Build and deploy automated model training and evaluation pipelines · Perform model/data analysis and monitor metrics through online A/B testing · Research and implement novel machine learning and deep learning algorithms and models. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Boston, MA, 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

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

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

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

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

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

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 an innovative leader that wants to engineer the next generation of world-class fulfillment centers and logistics systems across the globe? Do you want a high level of ownership in solving complex problems? Does the challenge of designing and implementing ground breaking solutions for automated equipment, packaging technologies, and systems including robotics and high-speed appeal to you? We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve extreme-scale real world challenges, and provide visible benefit to end-users, this is your opportunity. Come work on the Amazon WW Fulfillment Design & Engineering Team! We're looking for an outstanding Senior Acoustics Noise/Vibration/Harness (NVH) Scientist, someone who innovates and loves solving hard problems. You will work hard, have fun, and of course, make history! The primary role of the WW Fulfillment Design & Engineering team is to drive strategic solutions designed to improve the acoustic environments of our fulfillment network buildings throughout the world. Key job responsibilities •Lead R&D efforts to develop low noise products and solutions •Perform predictive modeling use the results to drive data driven low noise solution development •Collaborate and design work processes and workspaces that adhere to acoustics standards worldwide. •Help drive long-term Noise and Acoustics solution for Amazon that meet our growing product profile, network operations, and future goals. •Cross-pollinate best practices between engineering and operations teams. •Work closely with External Laboratories, Universities, MHE vendors and Integrators and leverage the data and resources available at their end to support NVH based solutions. •Support the design teams through participation in Design Reviews •Perform site visits to review previous designs, help drive standardized solutions, and capture lessons learned for future design improvements •Simultaneously manage multiple assignments and tasks while effectively influencing, negotiating, and communicating with internal and external business partners, contractors and vendors. •Provide technical leadership for large-scale engineering projects We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As an Applied Scientist with the AGI team, you will work with talented peers to support the development of novel Generative Artificial Intelligence (GenAI) algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances with LLMs and multimodal systems. About the team The AGI team has a mission to push the envelope in LLMs and multimodal systems, in order to provide the best-possible experience for our customers. We are open to hiring candidates to work out of one of the following locations: Bellevue, WA, USA | Cambridge, MA, USA | New York, NY, USA | Sunnyvale, CA, USA