Careers

Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to join our science team in the area of Speech and Natural Language Processing. Our organization develops the science that drives the cloud-based AI services of AWS. Our mission is two-fold: to empower developers with powerful AI tools and to create delightful user experiences that solve real-world business problems. You'll have the opportunity to push the boundaries in Automatic Speech Recognition (ASR), Natural Language Processing (NLP), Natural Language Understanding (NLU), Generative AI, Large Language Model (LLM), and Machine Learning (ML). Key job responsibilities As an Applied Scientist, you will partner with talented scientists and engineers to design, train, test, and deploy machine learning models. You will contribute to innovative features, improve our services based on customer requirements, and help maintain a highly scalable data and model management infrastructure that supports cutting-edge research. You will be responsible for translating business and engineering requirements into deliverables and software products. About the team About 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. Why AWS? 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. 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.

Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We offer experiences that serve all listeners with our different tiers of service: Prime members get access to all the music in shuffle mode, and top ad-free podcasts, included with their membership; customers can upgrade to Amazon Music Unlimited for unlimited, on-demand access to 100 million songs, including millions in HD, Ultra HD, and spatial audio; and anyone can listen for free by downloading the Amazon Music app or via Alexa-enabled devices. Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Imagine shaping how millions of customers discover and engage with digital music and audio, leveraging the resources of a Fortune-500 company within the atmosphere of a start-up. Love collaborating with a wide range of internal and external partners to drive successful partnerships? If so, come and build the future of music and audio with us. Transform how people enjoy music, audiobooks & podcasts with personalized recommendations as our Applied Scientist in Berlin. Lead the design, development & deployment of data-driven models that recommend the right audio at the right time based on customer context & behavior. Leverage audio data, metadata & listening patterns to create innovative features that personalize the Amazon Music experience. Collaborate with engineers and business teams to ensure coherent personalization across Amazon Music, from conception to productionization. You will make listening magical again through the power of personalization! Key job responsibilities * Create Innovative ML Solutions for Customized Musical Joy You will architect novel machine learning solutions that delight customers with personalized music experiences tailored just for them. Through A/B testing and online experiments done hand-in-hand with engineering teams, you'll implement and validate your ideas and solutions. * Chart the Course to Musical Discovery As a leader in Amazon Music's personalization mission, you'll set the strategy for your team's personalization science and recommender systems. You'll scout out new directions to guide Amazon Music's quest to match each customer with their perfect playlists. *Publish Pioneering Research You'll produce innovative research on recommender systems that shapes the field and meets the high standards of peer-reviewed publications. You'll cement your team's reputation as thought leaders pioneering new recommenders. A day in the life Lead innovation in ML to shape Amazon Music experiences for millions. Collaborate with talented engineers and scientists to guide research and build scalable models across our audio portfolio - music, podcasts, live streaming, and more. Drive experiments and rapid prototyping, leveraging Amazon's data at scale. Innovate daily alongside world-class teams to delight customers worldwide through personalization. About the team Bring music to life through machine learning! Our Berlin teams breathe passion into Amazon Music, optimizing each recommendation for our customers' unique tastes. Scale your work across our music apps, web player and Alexa devices, fine-tuning the algorithms behind our popular recommendation and personalization features. Collaborate with leading ML experts in Seattle and San Francisco to create the future of musical engagement, one stream at a time. Help us surprise and delight tens of millions of Amazon Music fans with an ever-better listening experience. Join our mission to personalize music through cutting-edge machine learning!

Economists at Amazon will be expected to work directly with our Chief Economists and senior management on key business problems faced in retail, international retail, cloud computing, third party merchants, search, Kindle, streaming video, and operations. Amazon economists will apply the frontier of economic thinking to market design, pricing, forecasting, program evaluation, online advertising and other areas. You will build econometric models, using our world class data systems, and apply economic theory to solve business problems in a fast moving environment. Economists at Amazon will be expected to develop new techniques to process large data sets, address quantitative problems, and contribute to design of automated systems around the company. Amazon.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. About the team The SCOT Lab (Supply Chain Optimization Technology Lab) team is responsible for designing and implementing systems to measure the impact of SCOT initiatives. We're currently seeking an economist to drive innovation within SCOT, which involves developing novel scientific approaches and advancing our system further upstream in the innovation process.

Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading language technology. Our mission is to provide a delightful experience to Amazon’s customers by pushing the envelope in Natural Language Processing (NLP), Generative AI, Large Language Model (LLM), Natural Language Understanding (NLU), Machine Learning (ML), Retrieval-Augmented Generation, Responsible AI, Agent, Evaluation, and Model Adaptation. 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, as well as contributing to the wider research community. You will gain hands on experience with Amazon’s heterogeneous text and structured data sources, and large-scale computing resources to accelerate advances in language understanding. The Science team at AWS Bedrock builds science foundations of Bedrock, which is a fully managed service that makes high-performing foundation models available for use through a unified API. We are adamant about continuously learning state-of-the-art NLP/ML/LLM technology and exploring creative ways to delight our customers. In our daily job we are exposed to large scale NLP needs and we apply rigorous research methods to respond to them with efficient and scalable innovative solutions. At AWS Bedrock, you’ll experience the benefits of working in a dynamic, entrepreneurial environment, while leveraging AWS resources, one of the world’s leading cloud companies and you’ll be able to publish your work in top tier conferences and journals. We are building a brand new team to help develop a new NLP service for AWS. You will have the opportunity to conduct novel research and influence the science roadmap and direction of the team. Come join this greenfield opportunity! 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. 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. 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.

The Research Team at Amazon Robotics is seeking a passionate Applied Scientist, with a strong track record of industrial research, innovation leadership, and technology transfer, with a focus on ML Applications. At Amazon Robotics, we apply cutting edge advancements in robotics, software development, Big Data, ML and AI to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We operate hundreds of buildings that employ hundreds of thousands of robots teaming up to perform sophisticated, large-scale missions. There are a lot of exciting opportunities ahead of us that can be unlocked by scientific research. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. As you could imagine, data is at the heart of our innovation. This role will be participating in creating the ML and AI roadmap, leading science initiatives, and shipping ML products. Key job responsibilities You will be responsible for: - Thinking Big and ideating with ML Science team, other Science teams, and stakeholders across the organization to co-create the ML roadmap. - Collaborating with customers and cross-functional stakeholder teams to help the team identify, disambiguate, and define key problems. - Independently innovating, creating, and iterating ML solutions for given business problems. Especially, using techniques such as Computer Vision, Deep Learning, Reinforcement Learning, and Causal Inference for Robotic Manipulation. - Collaborating with other Science, Tech, Ops, and Business leaders to ship and iterate ML products. - Promoting best practices and mentoring junior team members on problem solving and communication. - Leading state-of-the-art research work and pursuing internal/external scientific publications. A day in the life You will co-create ML/AI roadmap. You will help team identify business opportunities. You will prototype, iterate ML/AI solutions. You will drive communication with stakeholders to implement and ship ML solutions. e.g., computer vision, deep learning, explainable AI, causal inference, and reinforcement learning, especially for Robotic Manipulation. You will mentor and guide junior team members in delivering projects and business impact. You will work with the team and lead scientific publications. 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 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! About the team You will join a scientifically and demographically diverse research/science team. Our multi-disciplinary team includes scientists with backgrounds in planning/scheduling, grasping/manipulation, machine learning, statistical analysis, and operations research. We develop novel algorithms and machine learning models and apply them to real-word robotic warehouses, including: - Planning/coordinating the paths of thousands of robtos - Dynamic task allocation to thousands of robots. - Learning how to manipulate products sold by Amazon. - Co-designing an optimizing robotic logistics processes. Our team also serves as a hub to foster innovation and support scientists across Amazon Robotics. In addition, we coordinate research engagements with academia.

Amazon is investing heavily in building a world class advertising business and we are responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our business driving long term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities. Amazon Trust Tech (ATT) organization plays a crucial role in upholding the integrity and effectiveness of the advertising ecosystem. Our mission is to ensure that advertisements are highly relevant and adhere to stringent quality and policy standards, ultimately driving higher conversion rates for sellers and delivering an exceptional and safe experience for customers. Operating at an unparalleled scale, we deal with advertising content related to one of the world's largest product catalogs, processing billions of requests daily with ambitious plans to exponentially grow this capacity. Leveraging cutting-edge automated systems, we validate tens of millions of advertising artifacts submitted by thousands of merchants across multiple countries and languages. Our team is at the forefront of ensuring shopper trust, employing advanced techniques including generative AI, large language models (LLMs) and deep learning models to maintain the highest levels of accuracy, relevance, and compliance. Through our efforts, we foster a seamless and trustworthy advertising environment that benefits both advertisers and shoppers, underpinning Amazon's position as a leader in the e-commerce industry. Key job responsibilities As a Principal Applied Scientist in Advertising Trust, you will spearhead the strategic research direction and drive innovation through cutting-edge machine learning techniques (specifically with a focus on generative AI and large language models). Your responsibilities encompass defining key research goals, conducting rigorous experiments, publishing impactful results, and ensuring seamless translation of research into practical solutions for Advertising Trust use cases. You will develop long-term strategies, align cross-functional teams, and deliver on ambitious goals through effective leadership and collaboration. Additionally, you will contribute to organizational planning, talent acquisition, and mentorship initiatives, fostering a culture of innovation and continuous learning. With technical expertise and a passion for scalable science and engineering solutions, you will serve as a key scientific resource throughout the full-cycle development process, from conception to deployment. Through cross-functional collaboration, thought leadership, and active contributions to the scientific community, you will position Amazon’s Advertising Trust as a pioneer in the field of gen AI-powered advertising content moderation and labeling. Your key responsibilities include the following: * Lead and conduct advanced research in Large Language Models (LLMs), Generative AI, and Deep Learning, with a focus on developing novel algorithms, architectures, and methodologies for advertising content moderation and labeling. * Collaborate with cross-functional teams, including research scientists, engineers, and product managers, to translate research findings into practical applications for Advertising Trust use cases. * Contribute to the development of state-of-the-art natural language processing (NLP) and computer vision systems to automatically identify, filter and/or label advertising content. * Develop innovative techniques for labeling and categorizing advertising content, ensuring accurate and transparent targeting and compliance with Amazon’s advertising policies and regulations. * Publish research papers in top-tier conferences and journals, advancing the field of AI in advertising content moderation and trust, and establishing Amazon as a thought leader in this space. * Mentor and guide junior researchers, fostering a culture of innovation and knowledge sharing within the team. * Stay up-to-date with the latest advancements in AI, LLMs, and Generative AI, and identify opportunities for Amazon to leverage cutting-edge technologies in advertising content moderation and trust. * Present research findings and proposals to senior leadership, influencing strategic decision-making and shaping the direction of AI initiatives in advertising at Amazon.

Our mission is to improve the reliability of equipment (conveyance, motors, robotics), and optimize the maintenance and inventory management policies to support sites across our entire distribution network. We build products and systems to detect and prevent equipment downtime using a diverse set of algorithms, survival analysis, and large vision models. We screen over 150 million events every day, and process this data to create real time alerting systems. We are still day 1 and have an exciting roadmap to build computer vision models to automate defect detection and action material handling equipment, deploy scalable causal inference solutions to measure the impact of events, and optimize the reliability of miles of conveyance per site to help scale Amazon for years to come. As a Sr. Applied Scientist, you will design, develop, and maintain scalable, Deep Learning models with automated training, validation, monitoring and reporting. You will work closely with other scientists and engineers to architect and develop new learning algorithms and prediction techniques. You will collaborate with product managers and engineering teams to design and implement scientific solutions for Amazon problems. Provide technical and scientific guidance to your team members. Contribute to the research community, by working with other scientists across Amazon and publish papers at peer reviewed journals and conferences. We can hire scientist in a) Bellevue, b) Austin, c) Nashville, d) Denver, e) DC, and f) NYC Key job responsibilities • Drive software engineering best practice while designing the world's foremost distributed and scalable systems. • Develop and deploy edge-to-cloud software framework for computer vision processing • Design and develop innovative REST APIs and SDKs to deliver computer vision and machine learning capabilities • Be responsible for the architecture of software solutions, determining current limitations and compatibility between subsystems, the selection of new concepts and methodology, and the development of major routines and utilities. • Instill best practices for software development and documentation, making sure designs meet requirements, and delivering high quality software on tight schedules. A day in the life Sr. Applied Scientists within DST own the design, architecture, maintenance of Machine Learning models supporting initiatives related to computer vision applications at a network level. You will interact with other scientists on the team but to scale solutions you will travel to sites, interact with Field RME, Ops leadership, as well as other technical teams such as Amazon Fulfillment Technologies. About the team The Central Reliability and Maintenance Engineering, Decision Science and Technology (DST) team owns the design, deployment, and maintenance of an Artificial Intelligence/Computer Vision solution capable of automatically detecting defects in packages and taking action to ensure packages make it to customers in time. We are seeking a highly motivated and experienced Sr. Applied Scientist to join our team.

Are you passionate about delighting hundreds of millions of customers and building the best search experience to help customers make well-informed purchase decisions on Amazon? Are you passionate about building the next generation product shopping and search experience? The Search and Discover experience on Amazon is central to every customer’s shopping mission and purchasing journey. Amazon Search is looking for a self-driven, customer obsessed, and seasoned research scientist to drive the overall search customer insights efforts and measure customer perceptions for Amazon Search. If you are passionate about using user research & customer insights to influence the future direction of Amazon Search and building a small but top notch user research science team, this is a job for you. In this highly visible role, you will work across cross-functional teams and collaborate with partners to drive user research planning, align research goals to the product roadmap, and own user research execution and final deliverables to make sure that we are always positioned to exceed customer expectations. You will present the search customer insights to various stakeholders including senior executives. Key job responsibilities * Design and conduct significantly complex research studies that impact long-term product strategy and the future of customer experience. * Build customer perception measurements for Amazon search experience and develop the methods to correlate customer perception with search experience improvements. * Define search customer insights research strategy, own the research roadmap and prioritize research opportunities across different areas. * Identify customer segments and latent customer needs, define and improve methodologies, data collection, analysis/synthesis, and identify opportunities to improve customer experience. * Manage multiple customer insights research project execution, prioritization, and ensure research projects timely delivery at the highest quality levels. * Adapt and/or create new customer insights research methodologies and workflows to support product goals at scale and work effectively with agencies and vendors. * Work cross functionally and collaborate with technical product managers, technical program managers, UX designers, science, and engineering teams to proactively plan research and align research goals to the product roadmap. * Work with data analysts/data scientists to correlate qualitative research with quantitative data analysis, and interpret complicated data across quantitive and behavioral analysis. * Own customer insights research results and prioritization communication with all stakeholders including senior executives. * Build, manage, and grow a small team of research scientists. About the team Our team operate in a friendly, fast-paced, and diverse and inclusive work environment. We are driven by the excitement of inventing products, building technologies, and providing services that change lives. We embrace new ways of doing things, make decisions quickly, and are not afraid to fail. We have the scope, benefits, and support of a large company and the spirit and heart of a small startup. At Amazon, our mission is to be Earth’s most customer-centric company. Our actions, goals, projects, programs, and inventions begin and end with the customer top of mind.

We are seeking an Applied Scientist to lead a new, greenfield initiative that shapes the arc of invention with Machine Learning and Large Language Models. Your deliverables will directly impact executive leadership team goals and shape the future of shopping experiences with Alexa. We’re working to improve shopping on Amazon using the conversational capabilities of LLMs, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, across the breadth of Amazon Shopping and AGI to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!

The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Senior Applied Scientist, to lead the development and implementation of cutting-edge algorithms and models for supervised fine-tuning and reinforcement learning through human feedback; with a focus across text, image, and video modalities. As a Senior Applied Scientist, you will play a critical role in driving the development of Generative AI (GenAI) technologies that can handle Amazon-scale use cases and have a significant impact on our customers' experiences. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in GenAI - 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 GenAI 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