Careers

The Amazon Artificial General Intelligence (AGI) team is looking for a passionate, highly skilled and inventive Senior Applied Scientist with strong machine learning background to lead the development and implementation of state-of-the-art ML systems for building large-scale, high-quality conversational assistant systems. Key job responsibilities - Use deep learning, ML and NLP techniques to create scalable solutions for creation and development of language model centric solutions for building personalized assistant systems based on a rich set of structured and unstructured contextual signals - Innovate new methods for contextual knowledge extraction and information representation, using language models in combination with other learning techniques, that allows effective grounding in context providers when considering memory, cpu, latency and quality - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in personal knowledge aggregation, processing and verification - Design and execute experiments to evaluate the performance of different algorithms and models, and iterate quickly to improve results - Think Big about the arc of development of conversational assistant system personalization over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems - Communicate results and insights to both technical and non-technical audiences, including through presentations and written reports - Mentor and guide junior scientists and engineers, and contribute to the overall growth and development of the team A day in the life As a Senior Applied Scientist, you will play a critical role in driving the development of personalization techniques enabling conversational systems, in particular those based on large language models, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences. We are open to hiring candidates to work out of one of the following locations: Berlin, DEU

Amazon is looking for talented Postdoctoral Scientists to join our Robotics team for a one-year, full-time research position. Postdoctoral Scientists will innovate in key areas of computer vision and manipulation challenges in Amazon warehouses. The Vulcan Pick team seeks to automate the picking activities in Amazon AR Sortable FCs by retrofitting into existing stations. The team develops robotic manipulators, both the related hardware and software (including machine learning approaches). Our team focuses on solving computer vision and manipulation challenges in Amazon warehouses. Specifically, the team evaluates the feasibility of automating the operations with fabric pod storage. The technical challenges include 3D scene understand for items in clutter, identification of target items in the scene, and placement and/or removal of target items. As the solution space is open ended, the team is looking for postdoc candidates who are excited to apply and advance the state-of-the-art algorithms to this domain. 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. We are open to hiring candidates to work out of one of the following locations: Berlin, BE, DEU

The World Wide Deals and Promotions group is looking for an Data Science Manager with experience in leading diverse teams to build and deliver automated solutions that delight customers. You will lead a team of applied data scientists, software development, business intelligence and data engineers. As an Data Science Manager, you and your team will create and deliver on roadmaps for forward-looking research and product innovation, identify research directions and communicate them to senior leadership. You'll have experience taking invention to production and be passionate about using scientific research to deliver value to customers. Each day, millions of customer experience and buy Amazon deals and promotions. This team are foundational to that experience. We are open to hiring candidates to work out of one of the following locations: Berlin, BE, DEU

Do you want to join an innovative team of scientists who invent and apply the most advanced machine learning and NLP techniques to create the best customer engagement experience on the earth? Do you want to revolutionize the way how customers solve their issues and get their questions answered? At Customer Engagement Technology (CET), we develop peculiar products that help customers solve problems. We innovate on behalf of customers, developing Bot, self-service, and associate-facing products that delight customers and support our world class customer service workforce. We are looking for talented Postdoctoral Scientists to join our CET Machine Learning team in Berlin, Germany for a one-year, full-time research position to work on research and development of task oriented dialogue agents for the customer support domain. We utilize Large Language Models (LLMs) to address challenges within TOD systems, such as Natural Language Generation for generating system responses based, state tracking, decision making etc. We publish our research in top tier NLP and AI venues (EMNLP, ACL, AAAI, etc), and deploy ML powered chatbots primarily in the customer returns domain. 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. We are open to hiring candidates to work out of one of the following locations: Berlin, BE, DEU

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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. We are looking for an Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence and machine learning. You will be part of a team building Large Language Model (LLM)-based services with the focus on enhancing the developer experience in the Cloud. The team works in close collaboration with other AWS services such as AWS Cloud9, the AWS IDE Toolkit and AWS Bedrock. 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 - Understand the challenges that developers face when building software today, and develop generalizable solutions. - Identify pros and cons of different Generative AI techniques and decide if and how to employ them - Research and implement novel approaches leveraging Generative AI for creating text and code. - Collaborate with developers and pave the way towards bringing your solution into production systems. Lead cross team projects and ensure technical blockers are resolved. - Communicate and document your research via publishing papers in external scientific venues. About the team You will work on the Amazon Web Services (AWS) Next Gen Dev Experience (NGDE) team where we use generative AI and foundation models to reimagine the experience of builders on AWS. 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 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. We are open to hiring candidates to work out of one of the following locations: Berlin, BE, DEU

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. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services. We are looking for a Senior Applied Scientist who is passionate about building services and tools for developers that leverage artificial intelligence and machine learning. You will be part of a team building Large Language Model (LLM)-based services with the focus on enhancing the developer experience in the Cloud. The team works in close collaboration with other AWS services such as AWS Cloud9, the AWS IDE Toolkit and AWS Bedrock. 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 - Understand the challenges that developers face when building software today, and develop generalizable solutions. - Identify pros and cons of different Generative AI techniques and decide if and how to employ them - Research and implement novel approaches leveraging Generative AI for creating text and code. - Collaborate with developers and pave the way towards bringing your solution into production systems. Lead cross team projects and ensure technical blockers are resolved. - Communicate and document your research via publishing papers in external scientific venues. About the team You will work on the Amazon Web Services (AWS) Next Gen Dev Experience (NGDE) team where we use generative AI and foundation models to reimagine the experience of builders on AWS. 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 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. We are open to hiring candidates to work out of one of the following locations: Berlin, BE, DEU

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. We are open to hiring candidates to work out of one of the following locations: Berlin, BE, DEU | Berlin, DEU

Do you want to drive research that enables the highly scalable, massive throughput machine translation service at the core of Amazon's product localization? Work with MT and LLM technology to improve how we make Amazon available across the globe? Join the Consumer Localization team and become part of a group of machine learning scientists and engineers dealing with some of the largest scale problems across Amazon. We create automatically billions of product pages on all Amazon marketplaces enabling many millions of customers worldwide to shop in their native language. This is a unique opportunity at Amazon with great exposure: All of Amazon’s customers worldwide will be your customers. Come join us in our beautiful office in the beating heart of Europe - Berlin. Key job responsibilities As part of our team you will be pushing the boundary on applied ML in the localization space. You will - define and own research projects to ensure we can deliver optimal translation quality for product data at a massive scale - broaden our vision on how we can apply ML technology to further improve all stages of the product localization process - help us leverage the potential of latest developments on LLMs and Gen AI to improve customer experience across many languages - design, experiment and evaluate innovative models to solve end-to-end business problems with ML, and verify the business impact of your solutions - research and implement novel machine learning approaches and define how we can apply them in our domain - work with Machine Learning Scientists and Engineers to carry out strategic research and experimentation and implement best practices A day in the life Your day at work will be a mix of communication, experimentation, and implementation. You will be discussing with your team and stakeholders (e.g. country teams who use our translations, the service and hosting team, other MT teams at Amazon). This will provide you inputs on requirements that you turn into research questions and experiments, but also insights into the technical options and constraints for productionalizing your research. Your experimental work will be driven by business problems, but you will Think Big to go beyond the needs of the day. So you will be spending as much time on designing experiments and connecting the to the state of the art, as on actual hands on experimentation work. In the implementation part, you will be working with Software and ML Engineers and enable them to turn your research results into production code. About the team The team consists of Applied Scientists, Software Engineers and Machine Learning Engineers. Together, this enables us to cover the full space of applied Machine Translation, from open-ended research to practical implementation questions. And it enables us to connect and cooperate with research, business and engineering teams. We are open to hiring candidates to work out of one of the following locations: Berlin, BE, DEU

Amazon is looking for talented Postdoctoral Scientists to join our Robotics team for a one-year, full-time research position. Postdoctoral Scientists will innovate in key areas of computer vision and manipulation challenges in Amazon warehouses. The Vulcan Pick team seeks to automate the picking activities in Amazon AR Sortable FCs by retrofitting into existing stations. The team develops robotic manipulators, both the related hardware and software (including machine learning approaches). Specifically, the team evaluates the feasibility of automating the operations with fabric pod storage. The technical challenges include 3D scene understand for items in clutter, identification of target items in the scene, and placement and/or removal of target items. As the solution space is open ended, the team is looking for postdoc candidates who are excited to apply and advance the state-of-the-art algorithms to this domain. 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. We are open to hiring candidates to work out of one of the following locations: Berlin, BE, DEU

This role is available across multiple locations in Germany (Munich, Berlin, Tübingen, Aachen). Amazon Internships have start dates throughout the year and can vary in length from 3-6 months for full-time. Please note these are not remote internships. Are you a MS or PhD student interested in a 2024 Internship in the field of Applied Sciences? Are you interested in machine learning, deep learning, speech, robotics, computer vision, optimization, quantum computing, automated reasoning, or formal methods? If so, we want to hear from you! We are looking for scientists with interest in using a variety of domain expertise to invent, design and implement state-of-the-art solutions for never-before-solved problems. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow. For more information on the Amazon Science community please visit the Science hub page: https://www.amazon.science/ If you’re interested in hearing more or have questions about Amazon Science internships, please feel free to join us for one of our upcoming informational sessions which you can sign up for via the ‘Events Calendar’ in our EMEA Science Intern landing page; https://amazonscienceopportunities.splashthat.com/ Key job responsibilities As an Applied Science Intern, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create technical roadmaps and drive production level projects that will support Amazon Science. You will work closely with Amazon scientists, and other science interns to develop solutions and deploy them into production. You will have the opportunity to design new algorithms, models, or other technical solutions whilst experiencing Amazon’s customer focused culture. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve complex business problems. We are open to hiring candidates to work out of one of the following locations: Aachen, DEU | Berlin, BE, DEU | Munich, BY, DEU | Tuebingen, DEU