Careers

Amazon's AGI Web & Knowledge Services group is seeking a passionate, talented, and inventive Senior Applied Scientist to lead the development of industry-leading Information retrieval systems. As part of our cutting-edge AGI-IR team, you will play a pivotal role in developing efficient AI solutions for a multi-modal future at scale. In this role, you will work alongside renowned researchers and engineers to enable our customers to seamlessly interact with unstructured and semi-structured content through advanced capabilities like question answering, contextual search, and multi-turn dialogues. Your work will directly impact our customers in the form of products and services that make use of various machine learning, deep learning and language model technologies. Key job responsibilities - As a Senior Applied Scientist, you will leverage your technical expertise and experience to demonstrate leadership in tackling large complex problems, setting the direction and collaborating with applied scientists and engineers to develop novel algorithms and modeling techniques to enable timely, relevant and delightful conversations. - Leverage Amazon's large-scale data and computing resources to accelerate advances in the state of the art. - Work backwards from customer needs and use that information to make trade-offs between different modeling approaches - Collaborate with software engineering teams to integrate successful experimental results into complex Amazon production systems - Report results to technical and business audiences in a manner that is statistically rigorous and compellingly relevant, exemplifying good scientific practice in a business environment - Drive best practices, helping to set high scientific and engineering standards on the team - Promote the culture of experimentation and applied science at Amazon

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Science Manager with a strong deep learning background, to lead the development of industry-leading technology with multimodal systems. Key job responsibilities As an Applied Science Manager with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) in Computer Vision. About the team The AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers.

Have you ever thought about what it takes to deliver high quality customer service at optimal cost? What would you do to take one of the best customer service organizations in the world to the next level? Do you enjoy working in an entrepreneurial, fast paced environment, solving complex problems and delivering innovative and high-impactful solutions? Do you like to innovate and simplify? The Worldwide Capacity Planning (WWCP) organization owns the end-to-end workforce planning and execution of Amazon's customer service network. Our forecasting, labor planning, scheduling, and real-time management solutions are responsible for the millions of daily decisions needed to provide efficient and frustration-free support to our customers around the world. We are looking for an experienced Applied scientist with strong research background, excellent technical skills and business acumen to join our Forecasting team. As a part of the Forecasting team within the Worldwide Capacity Planning organization, you will partner closely with business leaders, Product Managers, Data Scientists, Economists, Research Scientists, Business Intelligence Engineers, Data Engineers and Software Engineers to build end-to-end forecasting solutions to deliver highly accurate customer contact demand forecasts, drive causal understanding of contact demand drivers from multimodality data, and extract actionable insights to excel business decision-making. As an applied scientist, you will work on cutting edge research using a combination of econometrics, machine learning and statistics to exploit causal knowledge for customer contact drivers and shape decisions to deliver better customer service. You will bring statistical modeling and machine learning advancements to build state-of-the-art ML algorithms for forecasting. A successful candidate will be a problem solver and leading innovator, who is excited by difficult modeling challenges, and possesses strong communication skills to effectively interface between technical and business stakeholders. Key job responsibilities - Drive model development with a combination of econometrics, statistics, machine learning and analytical techniques to create scalable solutions for business problems. - Collaborate with product, software engineering, research science, data engineering, and business leaders to build algorithms and models. - Design, develop and evaluate of highly innovative models for forecast problems. - Set high standards of coding and integrate successful models and algorithms in production systems. - Use the best practices in science: data integrity, design, test, and implementation and documentation. - Mentor and guide junior members in the team. - Contribute to Amazon's Intellectual Property through patents and internal and external publications. A day in the life “If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!”Benefits Summary: “Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan”

Are you interested in how to build Artificial General Intelligence (AGI)? Are you excited by science at the interface of classical AI reasoning and Large Language Models (LLMs)? Would you like to apply your technology to serve customers better? Amazon is looking for talented Postdoctoral Scientists to join our Amazon AGI (Artificial General Intelligence) in Fulfillment team for a one-year, full-time research position. Postdoctoral Scientists will innovate on the fundamental science of AGI, including working on combining LLMs with more classical AI task planning and AI reasoning. You will work with a team of scientists and engineers to achieve this. You will publish your results in two papers at leading venues in AI. You will be part of a larger team and have the opportunity to work on problems such as: using LLMs to generate robot task plans, using AI reasoning to verify whether a plan is correct, learning state space models and learning efficient reasoning strategies. You will have access to our latest LLMs and the opportunity to work on problems that can be applied to robotics, automation and fulfillment. Key job responsibilities In this role you will: • Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community. • Publish your innovation in top-tier academic venues and hone your presentation skills. • Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. A day in the life You'll meet with your science advisor on your ideas for the project, get guidance and feedback, work together on architectures and algorithms to achieve your goals, author papers, and understand better how science works at Amazon. You'll work closely with other scientists to review your plans and results. You'll meet with engineers to implement the architecture, carry out training and inference. About the team The Amazon AGI for Fulfilment Team is a new science team working at the boundary between LLMs, classical AI planning and reasoning, inspired by our problems in fulfillment, automation and robotics. We focus on high quality research science informed by practical problems.

Does innovating and delivering the world's best shopping offer evaluation experience excite you? Can you imagine delighting millions of shoppers (with unique shopping intents) with competitive, attractive offers in one of the most visited ecommerce sites? Are you looking forward to solving hard problems that combine business, scientific, and engineering challenges? Join us, and you'll help millions of worldwide Amazon shoppers make informed purchase decisions from a multi-billion product selection! Key job responsibilities - Utilize artificial intelligence, statistics, econometrics, and creative problem-solving skills to improve one of the most significant ecommerce algorithms that impacts millions of shoppers and sellers in the planet. - Partner closely with engineers to put your research and ideas into production on Amazon.com. - Leverage your science expertise to research and deliver novel solutions to explore emerging problem spaces, and create or organize knowledge around them. - Publish papers and file patents to contribute to the machine learning community. - Mentor Applied Scientists and Engineers with an interest in ML. - Provide ML consultation outside your team for other problem statements. About the team The Featured Merchant Algorithm (FMA) vision is to provide the world’s best offer evaluation experience, ensuring that Amazon customers see the best and most relevant offers – regardless of seller, brand, store, fulfillment channel, or shopping format – for any item at any point in the shopping journey. As the global authority of offer recommendation, we strive to reduce cognitive load of shoppers and drive competition across programs/offers. We are a team of Scientists, Economists, Engineers, and Designers working together to realize this mission. We operate in a diverse space that includes modeling of customer purchase behavior, advanced simulation, experimentation, evaluation, and compliance. We employ a variety of ML, statistics, reasoning, and econometric techniques.

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will work with talented peers to lead the development of novel 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 speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding. About the team The AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers.

We are a new team in AWS' Kumo organisation - a combination of software engineers and AI/ML experts. Kumo is the software engineering organization that scales AWS’ support capabilities. Amazon’s mission is to be earth’s most customer-centric company and this also applies when it comes to helping our own Amazon employees with their everyday IT Support needs. Our team is innovating for the Amazonian, making the interaction with IT Support as smooth as possible. We achieve this through multiple mechanisms which eliminate root causes altogether, automate issue resolution or point customers towards the optimal troubleshooting steps for their situation. We deliver the support solutions plus the end-user content with instructions to help them self-serve. We employ machine learning solutions on multiple ends to understand our customer's behavior, predict customer's intent, deliver personalized content and automate issue resolution through chatbots. As an applied scientist on our team, you will help to build the next generation of case routing using artificial intelligence to optimize business metric targets addressing the business challenge of ensuring that the right case gets worked by the right agent within the right time limit whilst meeting the target business success metric. You will develop machine learning models and pipelines, harness and explain rich data at Amazon scale, and provide automated insights to improve case routing that impact millions of customers every day. You will be a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. About AWS 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Amazon knows that a diverse, inclusive culture empowers us all to deliver the best results for our customers. We celebrate diversity in our workforce and in the ways we work. As part of our inclusive culture, we offer accommodations during the interview and onboarding process. If you’d like to discuss your accommodation options, please contact your recruiter, who will partner you with the Applicant-Candidate Accommodation Team (ACAT). You may also contact ACAT directly by emailing acat-africa@amazon.com. We want all Amazonians to have the best possible Day 1 experience. If you’ve already completed the interview process, you can contact ACAT for accommodation support before you start to ensure all your needs are met Day 1. Key job responsibilities Deliver real world production systems at AWS scale. Work closely with the business to understand the problem space, identify the opportunities and formulate the problems. Use machine learning, data mining, statistical techniques, Generative AI and others to create actionable, meaningful, and scalable solutions for the business problems. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation Analyze complex support case datasets and metrics to drive insight Design, build, and deploy effective and innovative ML solutions to optimize case routing Evaluate the proposed solutions via offline benchmark tests as well as online A/B tests in production. Drive collaborative research and creative problem solving across science and software engineering team Propose and validate hypothesis to deliver and direct our product road map Work with engineers to deliver low latency model predictions to production

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Senior Applied Scientist with a strong deep learning background, to lead the development of industry-leading technology with multimodal systems. Key job responsibilities As a Senior Applied Scientist with the AGI team, you will lead the development of novel algorithms and modeling techniques to advance the state of the art with multimodal systems. Your work will directly impact our customers in the form of products and services that make use of vision and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate development with multimodal Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) in Computer Vision. About the team The AGI team has a mission to push the envelope with multimodal LLMs and GenAI in Computer Vision, in order to provide the best-possible experience for our customers.

The CATALST NLP Services team within the Selling Partner Services (SPS) Core Services organization is responsible for simplifying multi-lingual experiences for our customers. We build and leverage various AI services to eliminate language barriers at scale through Machine Translation for Amazon Customers and Sellers WW across 30+ programs within SPS and customers outside of SPS. We leverage state-of-the-art NLP solutions including Large Language Models, Machine Translation, Language Detection, and OCR to provide a full suite of content analysis capabilities. Our customers include Selling Partners, Buyers, Amazon Associates, Amazon Investigators, and various Science teams. In this role, you will be a key owner within our cross-disciplinary team that includes Product Managers, Software Engineers, and Applied Scientists and execute on our 3 Year Plan. You will pioneer new technologies in NLP, machine translation, and machine learning. You will have ownership of the end-to-end development of solutions to complex problems from design to implementation and you will play an integral role in strategic decision-making. You will also work closely with other stakeholders such as engineers, operations teams and product owners to build ML pipelines, platforms and solutions that solve business problems. Key job responsibilities * Participate in the design, development, evaluation, deployment and updating of automated and scalable machine learning models, with a focus on machine translation * Develop and/or apply statistics, NLP and machine learning experiments and methodologies to different applications * Work closely with Scientists and Software Engineers on experimentations, evaluation and implementation * Work closely with business partners to understand the goals and develop solutions to achieve such goals

We are seeking a talented applied researcher to join the Whole Page Planning and Optimization (WPPO) Science team in Search. The latest data from Business Insider shows that almost 50% of online shoppers visit Amazon first. The Search WPPO Science team is responsible for developing reinforcement learning systems for the next generation Amazon shopping experience and delivering it to millions of customers. We believe that shopping on Amazon should be simple, delightful, and full of WOW moments for EVERYONE, whether you are technically savvy or new to online shopping. As an Applied Scientist, you will be working closely with a team of applied scientists and engineers to build systems that shape the future of Amazon's shopping experience by automatically generating relevant content and building a whole page experience that is coherent, dynamic, and interesting. You will improve ranking and optimization in our algorithm. You will participate in driving features from idea to deployment, and your work will directly impact millions of customers. You are going to love this job because you will: * Apply state-of-the-art Machine Learning (ML) algorithms, including Deep Learning and Reinforcement Learning, to improve hundreds of millions of customers’ shopping experience. * Have measurable business impact using A/B testing. * Work in a dynamic team that provides continuous opportunities for learning and growth. * Work with leaders in the field of machine learning. Joining this team, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging the resources of Amazon.com (AMZN), one of the world's leading internet companies. We provide a highly customer-centric, team-oriented environment. A successful candidate will have a solid research background in machine learning and reinforcement learning algorithms, customer obsession, great communication skills, and the motivation to achieve results in a fast-paced environment.