Careers

Are you looking for an opportunity to build an LLM-based enterprise-grade, highly available, large scale solution? Does it excite you to find patterns and build generic, composable solutions to solve complex problems? Are you looking for inventing newer and simpler ways of building solutions? If so, we are looking for you to fill a challenging position in Alexa Enterprise (AE) team. AE brings the power of Alexa voice assistant to enterprise partners in industries such as hospitality and senior living. We tackle pressing challenges like workforce shortage. We are inventing Large Language Models (LLM)-driven interactions to create memorable moments for users while simultaneously boosting partner revenues and reinforcing brand identity. Beyond managed properties, AE extends Alexa's reach to premium third-party devices, seamlessly integrating with household names like Samsung, LG, and Sonos, thus amplifying its impact across diverse ecosystems. AE team is looking for a passionate, highly skilled and inventive Senior Applied Scientist, with a strong machine learning background, to lead the development and implementation of state-of-the-art ML systems for Alexa Enterprise use cases. As a Senior Applied Scientist in the team, you will play a critical role in driving the development of conversational assistants, in particular those based on Large Language Models (LLM's), that meet enterprise standards. You will handle Amazon-scale use cases with significant impact on our customers' experiences. Key job responsibilities - You will analyze, understand and improve user experiences by leveraging Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in artificial intelligence - You will work on core LLM technologies, including developing best-in-class modeling, prompt optimization algorithms to enable Conversation AI use cases - Build and measure novel online & offline metrics for personal digital assistants and customer scenarios, on diverse devices and endpoints - Create, innovate, and deliver deep learning, policy-based learning, and/or machine learning-based algorithms to deliver customer-impacting results - Perform model/data analysis and monitor metrics through online A/B testing

“Amazon Science gives you insight into the company’s approach to customer-obsessed scientific innovation. Amazon fundamentally believes that scientific innovation is essential to being the most customer-centric company in the world. It’s the company’s ability to have an impact at scale that allows us to attract some of the brightest minds in artificial intelligence and related fields. Our scientists continue to publish, teach, and engage with the academic community, in addition to utilizing our working backwards method to enrich the way we live and work.” Please visit https://www.amazon.science for more information Amazon Business is one of Amazon’s fastest growing businesses, focused on enabling business customers to research, discover and buy business, industrial and scientific products in large catalogs. Our customers include individual professionals, businesses and institutions that buy products in bulk quantities to run their business smoothly. Business customers have different and more complex needs than the traditional Amazon customer base. We operate in the US, EU5, Canada, Japan and India. And we are continually expanding to new countries. We are looking for an experienced and passionate Data Scientist to be part of the Amazon Business organization. This is a great opportunity to innovate and provide the best customer experience in the entire journey of purchase, right from product discovery to post purchase experiences. This is your chance to make an impact of multi-trillion-dollars on your own. In this role, you will be a technical expert with significant scope and impact. You will work with Business Intelligence Engineers, Financial Analysts, Product Managers, Software Engineers, Data Engineers, and other Data Scientists, to build new and enhance existing ML models to optimize customer experience. A successful Data Scientist at Amazon has bias for action and operates in a startup environment, with leadership skills, proven ability to build and manage medium-scale modeling projects, identify data requirements, build methodology and tools that are statistically grounded. We need great leaders to think big and design new solutions to solve complex problems using machine learning (ML) and natural language processing (NLP) techniques to improve our customers’ experience when using AB. We are seeking someone who can thrive in a fast-paced, high-energy and fun work environment where we deliver value incrementally and frequently. We value highly technical people who know their subject matter deeply and are willing to learn new areas. We look for individuals who know how to deliver results and show a desire to develop themselves, their colleagues, and their career." ML-India

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, reinforcement learning through human feedback and complex reasoning; 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

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. Key job responsibilities - Work backwards from customer problems to research and develop novel machine learning solutions for music and podcast recommendations. Through A/B testing and online experiments done hand-in-hand with engineering teams, you'll implement and validate your ideas and solutions. - Advocate solutions and communicate results, insights and recommendations to stakeholders and partners. - 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. Stay current with advancements in the field, adapting latest in literature to build efficient and scalable models 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 The team is responsible for models that underly all of Amazon Music’s recommendations across content types on mobile, web and Alexa. You will collaborate with a team of product managers, applied scientists and software engineers delivering meaningful recommendations, personalized for each of the millions of customers using Amazon Music globally. As a scientist on the team, you will be involved in every aspect of the development lifecycle, from idea generation and scientific research to development and deployment of advanced models. You will work closely with engineering to realize your scientific vision.

AWS Payments is seeking an Applied Scientist to drive high-impact science initiatives to help mitigate financial losses, create frictionless payment experience, minimize the cost of payment processing, and prevent abuses/exploitations of payment systems by bad actors. As an Applied Scientist within AWS Payments organization, your role is to leverage your strong background in Data Science and Machine Learning to build best-in-class payment risk assessment frameworks that enable efficient, data-driven decisions anytime, anywhere across payment lifecycle. You will analyze rich datasets at Amazon scale and provide insights to improve existing AI/ML solutions as well as drive new scientific initiatives that enhance the payments experience of millions of customers. This role requires a pragmatic technical leader who is comfortable navigating ambiguous environments and is capable of effectively summarizing complex data analysis and modeling results through clear verbal explanations and written documentations. The ideal candidate will have experience with machine learning models and applying science to various business contexts, especially experience in dealing with payments or financial services data. You will have to work with a group of other scientists, product managers and engineers and play an integral role in strategic decision-making. The right candidate will possess excellent business and communication skills, define business objectives and prioritize work across the team to support business outcomes, and develop solutions to key business problems. Key job responsibilities - Interact with product managers, business teams, and engineering teams to develop an understanding and domain knowledge of business requirements, processes and system structures. - Apply domain knowledge and business judgment to identify opportunities and quantify the impact aligning research direction to business requirements and make the right judgment on research project prioritization. - Develop scalable mathematical models to derive optimal or near-optimal solutions to existing and new challenges in the AWS payments space. - Improve upon existing methodologies by integrating new data sources, developing new models or algorithmic enhancements and fine-tuning model parameters. - Advocate technical solutions to business stakeholders, engineering teams, as well as executive level decision makers. - Work closely with engineers to integrate prototypes into production systems. - Frame evaluation methods to monitor the actual performance of devised solutions in production systems, identify areas with potential for improvement and work with internal teams to improve the solution with new features. - Lead the project plan from a scientific perspective on product launches including identifying key milestones, potential risks and paths to mitigate risks. 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.

Do you want a role which will improve the lives of millions that aspire to work for Amazon? 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 that Amazon's Talent Acquisition operations need. 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, replacing the "game of chance" with 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 at the desired locations and at exactly the desired 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. Leveraging Amazon's in-house tech stack built on AWS, you'll have the autonomy and flexibility to bring innovative solutions to life. One day, we can bring these solutions to the rest of the world. Join ITA in using advanced technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems. Within ITA, the Optimized Recruiting and Candidate Analytics (ORCA) team shapes candidates' crucial Day 1 experience through: - Machine learning models and optimization solutions - Large-scale analytics for seamless candidate onboarding - Data-driven staffing and appointment planning across global locations - Balanced solutions promoting both cost efficiency and exceptional experiences Join our dynamic team of scientists, engineers, and product managers as we continue to work on even broader problems to: - Tackle novel challenges in talent acquisition - Drive innovation in hiring processes - Transform onboarding for millions of future Amazonians - Create solutions that could revolutionize hiring across industries Help us solve the world's toughest hiring problems while making a meaningful difference in people's lives. Key job responsibilities • Lead quantitative analyses and develop statistical models using Python, R, and other programming languages to: - Solve complex business challenges through data-driven insights - Identify patterns and trends in large datasets - Create predictive models to optimize business outcomes - Implement and validate statistical methodologies • Develop comprehensive technical documentation including: - Detailed methodology reports - Model specifications and assumptions - Statistical analysis procedures - Validation results and model performance metrics - Implementation guidelines and recommendations The ideal candidate will combine strong analytical capabilities with clear technical writing skills to translate complex statistical concepts into actionable business insights. A day in the life As a data scientist, you'll harness data to enhance our machine learning and optimization models, collaborating with product managers, engineers, and stakeholders to deliver impactful solutions. Our team offers regular mentorship and professional development to help you grow your career while solving challenging problems in talent acquisition. You'll thrive in this role if you enjoy solving complex problems, working in a fast-paced collaborative environment, and continuously learning new skills.

Do you want a role with deep meaning and the ability to make a massive 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 that Amazon's Talent Acquisition operations need. 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, replacing the "game of chance" with 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. Leveraging Amazon's in-house tech stack built on AWS, you'll have the autonomy and flexibility to bring innovative solutions to life. One day, we can bring these 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. Together, we can solve the world's toughest hiring problems. Within ITA, the Candidate Generation team uses scientific experimentation, causal inference, generative AI, machine learning, and forecasting techniques to bring new and returning candidates to the top of the recruitment funnel. Driven by the goal of ensuring every marketing dollar is spent efficiently and effectively, the Candidate Generation team builds innovative decisioning products that provide tailored recommendations for recruiting challenges across a wide array of marketing channels globally. Our award-winning solutions tackle complex and ambiguous problems by applying science methodically and creatively, increasing candidate engagement while driving down costs. As a member of Candidate Generation, your work will modernize the field of Marketing and revolutionize the way we find and attract Amazonian talent.

Do you want a role with deep meaning and the ability to make a massive 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 that Amazon's Talent Acquisition operations need. 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, replacing the "game of chance" with 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. Leveraging Amazon's in-house tech stack built on AWS, you'll have the autonomy and flexibility to bring innovative solutions to life. One day, we can bring these 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. Together, we can solve the world's toughest hiring problems. Within ITA, the Candidate Generation team uses scientific experimentation, causal inference, generative AI, machine learning, and forecasting techniques to bring new and returning candidates to the top of the recruitment funnel. Driven by the goal of ensuring every marketing dollar is spent efficiently and effectively, the Candidate Generation team builds innovative decisioning products that provide tailored recommendations for recruiting challenges across a wide array of marketing channels globally. Our award-winning solutions tackle complex and ambiguous problems by applying science methodically and creatively, increasing candidate engagement while driving down costs. As a member of Candidate Generation, your work will modernize the field of Marketing and revolutionize the way we find and attract Amazonian talent.

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! This role will focus on a highly strategic new initiative on LLM and GenAI modeling. Key job responsibilities As a Senior Applied Scientist on this team, you will: • Lead a new initiative across Sponsored Products focused on LLM/GenAI based features. • Be the technical leader in AI, Machine Learning; lead efforts within this team and across other teams. • Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience. • Drive end-to-end AI/Machine Learning projects that have a high degree of ambiguity, scale, complexity. • Build models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your AI/ML models. • Run A/B experiments, gather data, and perform statistical analysis. • Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. • Research new and innovative AI/ machine learning approaches. • Recruit Applied Scientists to the team and provide mentorship. A day in the life Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. About the team Team video https://youtu.be/zD_6Lzw8raE

You will collaborate cross-functionally with engineering teams and program managers throughout the organization to deliver projects aimed at characterizing and improving the performance of new robotic automation technology in Amazon's network of warehouses. In this role, you will use a combination of unified and disparate data sources to uncover insights delivered through decision-driving analytics white-papers and automated data visualizations to influence the development and deployment of new robotic technologies. You will collaborate with Data Engineers, Software, Hardware, and Program Managers to define and deliver world class robotics technologies, analytics tools, and insights to shape the robotic technology landscape. We are looking for an enthusiastic data science professional with a passion for delivering business influencing analysis, papers, and recommendations to complex and ambiguous problems. A practiced data scientists, who uses data engineering, statistics, data visualization, and data science to influence decision making in cross-functional organizations. We are seeking an individual who can think holistically through compound problems to understand how systems work together to define and execute projects which drive improvements to robotic architecture or design. A day in the life In this role, you'll support new technologies looking for decision-making support and deep root cause analysis. These technologies will be in alpha/beta phases and have a start-up mentality of heavy Bias for Action, Ownership, and Customer Obsession. 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 The Amazon Robotics Storage Analytics team discovers insights in vast and varied robotic data to help our engineering teams understand how their technologies operate across Amazon’s network of fulfillment warehouses. We collaborate with designers, software and hardware engineers, and operations teams to understand product requirements, make feature trade-offs, design, and operate new applications of Amazon Robotics Storage technology. We conduct relevant, insightful analysis and communicate the results through white papers and presentations. Our methods are inclusive of design of experiments, statistical modeling, machine learning, financial analysis, and data visualization.