Careers

Are you a passionate Applied Scientist (AS) ready to shape the future of digital content creation? At Amazon, we're building Earth's most desired destination for creators to monetize their unique skills, inspire the next generation of customers, and help brands expand their reach. We build innovative products and experiences that drive growth for creators across Amazon's ecosystem. Our team owns the entire Creator product suite, ensuring a cohesive experience, optimizing compensation structures, and launching features that help creators achieve both monetary and non-monetary goals. Key job responsibilities As an AS on our team, you will: * tackle challenging problems that directly impact millions of creators and customers * independently collect and analyze data * develop and deliver scalable predictive models, using any necessary programming, machine learning, and statistical analysis software * collaborate with other scientists, engineers, product managers, and business teams to creatively solve problems, measure and estimate risks, and constructively critique peer research. * consult with engineering teams to design data and modeling pipelines which successfully interface with new and existing software * participate in design and implementation across teams to contribute to initiatives and develop optimal solutions that benefit the creators organization The successful candidate is a self-starter, comfortable with a dynamic, fast-paced environment, and able to think big while paying careful attention to detail. You have deep knowledge of an area/multiple areas of science, with a track record of applying this knowledge to deliver science solutions in a business setting and a demonstrated ability to operate at scale. You excel in a culture of invention and collaboration.

Welcome to the Worldwide Returns & ReCommerce team (WWR&R) at Amazon.com. WWR&R is an agile, innovative organization dedicated to ‘making zero happen’ to benefit our customers, our company, and the environment. Our goal is to achieve the three zeroes: zero cost of returns, zero waste, and zero defects. We do this by developing products and driving truly innovative operational excellence to help customers keep what they buy, recover returned and damaged product value, keep thousands of tons of waste from landfills, and create the best customer returns experience in the world. We have an eye to the future – we create long-term value at Amazon by focusing not just on the bottom line, but on the planet. We are building the most sustainable re-use channel we can by driving multiple aspects of the Circular Economy for Amazon – Returns & ReCommerce. Amazon WWR&R is comprised of business, product, operational, program, software engineering and data teams that manage the life of a returned or damaged product from a customer to the warehouse and on to its next best use. Our work is broad and deep: we train machine learning models to automate routing and find signals to optimize re-use; we invent new channels to give products a second life; we develop highly respected product support to help customers love what they buy; we pilot smarter product evaluations; we work from the customer backward to find ways to make the return experience remarkably delightful and easy; and we do it all while scrutinizing our business with laser focus. You will help create everything from customer-facing and vendor-facing websites to the internal software and tools behind the reverse-logistics process. You can develop scalable, high-availability solutions to solve complex and broad business problems. We are a group that has fun at work while driving incredible customer, business, and environmental impact. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed for substantial career growth. Amazon is earth’s most customer-centric company and through WWR&R, the earth is our customer too. Come join us and innovate with the Amazon Worldwide Returns & ReCommerce team! Key job responsibilities * Design, develop, and evaluate highly innovative models for Natural Language Programming (NLP), Large Language Model (LLM), or Large Computer Vision Models. * Use SQL to query and analyze the data. * Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. * Use machine learning and analytical techniques to create scalable solutions for business problems. * Research and implement novel machine learning and statistical approaches. * Mentor interns. * Work closely with data & software engineering teams to build model implementations and integrate successful models and algorithms in production systems at very large scale. About the team When a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical, image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models.

Do you want to create intelligent, adaptable robots with global impact? At Amazon Robotics, our collaborative team builds high-performance, real-time robotic systems that perceive, plan, and act intelligently alongside humans—at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently through the complex challenges of a company that sells everything, everywhere. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, large-scale generative models, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks. Our solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself. We are seeking an Applied Scientist to join our Motion Planning and Control team creating a fleet of manipulation robots at scale. You will apply the latest trends in research to solve real-world problems alongside a world-class team of experts in motion planning, computer vision, deep learning, intelligent control, and semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, closed-loop control, robotic grasping, and manipulation in high-contact environments. Your contributions will drive the development and scaling of advanced robotic systems capable of handling complex, dynamic environments and transforming how robots interact with the world around them. Key job responsibilities • Research, design, implement and evaluate complex motion planning and control algorithms that improve the performance of systems deployed in real-world conditions. • Create experiments and prototype implementations of new learning algorithms and prediction techniques. • Work closely with software engineering team members to drive scalable, real-time implementations. • Collaborate with perception, machine learning and robotic controls experts to implement and deploy algorithms, such as machine learning models. • Collaborate closely with hardware engineering team members on developing systems from prototyping to production level. • Represent Amazon in academia community through publications and scientific presentations. • Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation.

Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges across Amazon's varied businesses? If so, Amazon's Legal technologies team has an exciting opportunity for you as an Applied Scientist. At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Amazon Legal technologies team plays a pivotal role in supporting all Amazon Businesses and solving complex customer problems. As an Applied Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for our customers. You will be part of a global team that is focused on solving both Legal and business problems. The position is based in Seattle but will interact with global customers and teams. Join us at Amazon Legal tech and you would have the opportunity to solve some the most complex problems surrounding the Legal industry. Please visit https://www.amazon.science for more information Key job responsibilities Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges. Collaborate with cross-functional teams, including software engineers, applied scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions. Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-related systems. Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact.

Have you ever ordered a product on Amazon and when that box-with-the-smile arrives, you wonder how it got to you so fast? Ever wondered where it came from and how much it cost Amazon? Wondered how Amazon designs its transportation network to scale and reliably deliver hundreds of millions of package to customer’s doorsteps? If so, Amazon’s EU Fulfillment Optimization team is for you. We use mathematical models, business analytics, algorithm design and statistics to improve decision-making capabilities across Operations and Amazon Logistics. Our objective is to create a reference for what the ideal transportation network looks like and build scalable audit mechanisms to assess and reduce the gap to the current network. We do so by treating system defects as gifts and solve anomalies in systems and their behavior to achieve business goals. We are based out of the EU headquarters in Luxembourg and looking for a talented and motivated Senior Applied Scientists to innovate and enhance our outbound network optimization and management products. In this role, you will solve highly visible problems that are important for senior leaders across organizations. Key job responsibilities We want you solve capacity optimization problems and re-define the way we approach resource allocation. You are someone: >> With business acumen with strategic, analytical, and critical thinking, who can understand the business challenge and develop technical and algorithmic solutions to those problems. >> Who understands technical software development life cycle and have experience to drive research teams towards business solutions >> Who drives strategic product communications across organizations providing clarity in decisions >> Has experience to develop scalable applied science solutions

Join Amazon Advertising's targeting program as a Senior Applied Scientist where you'll help shape how advertisers reach relevant customers through advanced ML and statistical techniques. Our mission is to ensure targeted ads meet high relevancy standards that benefit both customers and advertisers. Working from either our Edinburgh development center or London head office, you'll be part of an agile, fast-paced team of scientists and software engineers. You'll have end-to-end ownership of the scientific process - from ideation and business analysis to research and model deployment. From your first day, you'll collaborate with experienced scientists, engineers, and designers who are passionate about their work. Key job responsibilities This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. You will be responsible for driving end-to-end scientific processes from ideation to deployment, conducting business analysis and scientific research, and developing advanced ML models. You will apply sophisticated ML and statistical techniques to optimize advertising systems and ensure targeted ads meet high relevancy standards. Working in an agile environment, you'll collaborate closely with scientists, engineers, and designers to develop innovative advertising solutions. Your responsibilities include helping advertisers optimize their targeting strategies, improving customer experience through relevant ad delivery, and contributing to the growth of Amazon's advertising business. We place a high emphasis on team spirit and collaboration, while providing the required support needed for succeeding in the role. A day in the life A typical day would involve collaborating with a diverse team of scientists, engineers, and designers in either the Edinburgh development center or London head office. You might start your day participating in agile team meetings to discuss ongoing projects and align on priorities. Throughout the day, you would be engaged in various aspects of the scientific process, including: * Analyzing business problems and conducting scientific research to develop solutions for advertising targeting * Collaborating with team members to review code, discuss technical approaches, and refine solutions * Participating in technical discussions to evaluate the effectiveness of targeting strategies About the team Amazon Audiences is a specialized organization within Amazon Advertising that focuses on developing advanced targeting solutions. The team consists of several specialized groups working on different aspects of advertising technology. These include building scalable targeting services that work without relying on user IDs, developing contextual targeting capabilities that match ads with relevant content, enabling keyword-based targeting for advertisers, providing technology-based targeting options for different devices and platforms, and creating tools that help advertisers define and understand their target audiences using Amazon's retail and digital signals. The team also includes specialists who focus on search engine optimization and keyword research to help advertisers improve their visibility and reach. Throughout all these functions, the team maintains a strong commitment to preserving customer privacy while helping advertisers effectively reach their target audiences.

The Next Generation Developer Experience (NGDE) Science team is looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence (AI) and machine learning (ML). You will be part of a team building AI-based services for Amazon Q Developer with the focus on redefining the way developer work. The team works in close collaboration with other AWS AI services such as AWS Bedrock, the AWS IDE Toolkit, and Amazon Sagemaker. If you are excited about working in cloud computing and building new AWS services, then we'd love to talk to you. Key job responsibilities As an Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs. 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. This team is part of AWS Utility Computing: 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. About the team The Amazon Web Services (AWS) Next Gen DevX (NGDE) team is building Amazon Q for Developers to re-imagine all aspects of how builders create applications. We build AI products that are deployed in the IDE, the AWS console, and in web-based tools and services. We provide developers with AI assistants to generate code, features, and entire applications as well as to interact with AWS. We explore new technologies and find creative solutions, produce original research and bring cutting edge innovation to our customers. Curiosity and an explorative mindset can find a place here to impact the life of engineers around the world. If you are excited about this space, this is the team for you.

Amazon's Global XCM organization (Cross-Category, Cross-Channel Marketing) is looking for a talented Tech Lead Senior Economist who is interested in solving one of the most challenging business problems in marketing measurement and optimization, and developing cutting-edge ML model. Working with our team of data scientists, applied scientists, research scientists, and economists, this leader will help redefine scalable marketing measurement and optimization. XCM’s mission is to be the most culturally and contextually aware, creatively breakthrough, and measurably effective marketing organization in the world. In this role, you will be a technical leader in Econometric research with significant scope, impact, and high visibility. You will lead strategic measurement and optimization science initiatives in collaboration with external science teams, and development and deployment of measurement and real-time predictive and optimization science models. As a successful Economist, you are an analytical problem solver who enjoys diving into data, leads problem solving, guides development of new frameworks, writes code, is excited about investigations and algorithms, and can credibly interface between technical teams and business stakeholders. You are an expert in causal inference models to solve business problems. You are a hands-on innovator who can contribute to advancing Marketing measurement technology and push the limits on what’s scientifically possible with a razor sharp focus on measurable customer and business impact. You will also coach and guide junior scientists in the team to grow the team’s talent and scale the impact of your work. Key job responsibilities - Design and implement production-ready causal machine learning models to solve complex measurement and optimization challenges - Partner with cross-functional science teams to drive innovative high-impact initiatives - Collaborate with key stakeholders to develop strategic roadmaps and ensure successful project execution - Mentor junior scientists and establish technical best practices for the team

Do you want a role with deep meaning and the ability to make a global impact? Hiring top talent is not only critical to Amazon’s success—it can literally change the world. It took a lot of great hires to deliver innovations like AWS, Prime, and Alexa, which make life better for millions of customers around the world every day. As part of the Intelligent Talent Acquisition (ITA) team, you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy to Amazon's Talent Acquisition operation. ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year, we delivered over 6 million online candidate assessments, creating a merit-based approach that gives candidates the chance to showcase their true skills. Each year we help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates in the right quantity, at the right location and at exactly the right time. You’ll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms to solve complex hiring challenges. One day, we can bring our solutions to the rest of the world. Join ITA in using technologies to transform the hiring landscape and make a meaningful difference in people's lives. Within ITA, the Global Hiring Science (GHS) team designs and implements innovative hiring solutions at scale. We work in a fast-paced, global environment, using research to solve tough problems and build powerful hiring tools that deliver measurable impact to our customers. We’re seeking machine learning scientists with a strong foundation in natural language processing or large language models, experimental design, and data analysis. Preferred candidates will have experience with fair machine learning models, and designing/deploying machine learning models at scale. You’ll work closely with cross-functional teams, experimenting with emerging technologies to design novel solutions that improve the quality of new hires while enhancing the candidate experience across all of Amazon’s hiring. Key job responsibilities - Design and implement advanced AI models using the latest LLM and GenAI technologies to develop fair and accurate machine learning models for hiring. - Clearly and cogently present your work and ideas, and respond effectively to feedback. - Collaborate with cross-functional teams with Research Scientists and Software Engineers to integrate AI-driven products into Amazon’s hiring process. - Stay at the advance of AI research, continuously exploring and implementing new techniques in NLP, LLMs, and GenAI to drive innovation in hiring. - Implement advanced natural language processing models to extract insights from diverse data sources. - Ensure effective teamwork, communication, collaboration, and commitment across multiple teams with competing priorities. - Contribute to the scientific community through publications, presentations, and collaborations with academic institutions. About the team The mission of Global Hiring Science (GHS) is to improve both the efficiency and effectiveness of hiring across Amazon with assessments and interview improvements. We are a team of experts in machine learning, industrial-organizational psychology, data science, and measuring the knowledge, skills, and abilities that it takes to be successful at Amazon

AWS is looking for a passionate, talented, and inventive Applied Scientists with a strong machine learning background to help build industry-leading technology. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in multimodal LLMs and VLMs in Computer Vision. As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in human language technology. Your work will directly impact millions of our customers in the form of products and services that make use of speech and language technology. You will gain hands on experience with Amazon’s heterogeneous speech, text, and structured data sources, and large-scale computing resources to accelerate advances in spoken language understanding. 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.