Careers

Have you ever wondered how Amazon launches and maintains a consistent customer experience across hundreds of countries and languages it serves its customers? Are you passionate about data and mathematics, and hope to impact the experience of millions of customers? Are you obsessed with designing simple algorithmic solutions to very challenging problems? If so, we look forward to hearing from you! At Amazon, we strive to be Earth's most customer-centric company, where both internal and external customers can find and discover anything they want in their own language of preference. Our Translations Services (TS) team plays a pivotal role in expanding the reach of our marketplace worldwide and enables thousands of developers and other stakeholders (Product Managers, Program Managers, Linguists) in developing locale specific solutions. Amazon Translations Services (TS) is seeking an Applied Scientist to be based in our Seattle office. As a key member of the Science and Engineering team of TS, this person will be responsible for designing algorithmic solutions based on data and mathematics for translating billions of words annually across 130+ and expanding set of locales. The successful applicant will ensure that there is minimal human touch involved in any language translation and accurate translated text is available to our worldwide customers in a streamlined and optimized manner. With access to vast amounts of data, cutting-edge technology, and a diverse community of talented individuals, you will have the opportunity to make a meaningful impact on the way customers and stakeholders engage with Amazon and our platform worldwide. Together, we will drive innovation, solve complex problems, and shape the future of e-commerce. Key job responsibilities * Apply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language translation-related challenges in the eCommerce space. * Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions. * Conduct thorough data analysis to gain insights, identify patterns, and drive actionable recommendations that enhance seller performance and customer experiences across various international marketplaces. * Continuously explore and evaluate state-of-the-art modeling techniques and methodologies to improve the accuracy and efficiency of language translation-related systems. * Communicate complex technical concepts effectively to both technical and non-technical stakeholders, providing clear explanations and guidance on proposed solutions and their potential impact. About the team We are a start-up mindset team. As the long-term technical strategy is still taking shape, there is a lot of opportunity for this fresh Science team to innovate by leveraging Gen AI technoligies to build scalable solutions from scratch. Our Vision: Language will not stand in the way of anyone on earth using Amazon products and services. Our Mission: We are the enablers and guardians of translation for Amazon's customers. We do this by offering hands-off-the-wheel service to all Amazon teams, optimizing translation quality and speed at the lowest cost possible.

Are you looking to work at the forefront of Machine Learning and AI? Would you be excited to apply cutting edge Generative AI algorithms to solve real world problems with significant impact? The AWS Industries Team at AWS helps AWS customers implement Generative AI solutions and realize transformational business opportunities for AWS customers in the most strategic industry verticals. This is a team of data scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of generative AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and fine tune the right models, define paths to navigate technical or business challenges, develop proof-of-concepts, and build applications to launch these solutions at scale. The AWS Industries team provides guidance and implements best practices for applying generative AI responsibly and cost efficiently. You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. In this Data Scientist role you will be capable of using GenAI and other techniques to design, evangelize, and implement and scale cutting-edge solutions for never-before-solved problems. Key job responsibilities - Collaborate with AI/ML scientists, engineers, and architects to research, design, develop, and evaluate cutting-edge generative AI algorithms and build ML systems to address real-world challenges - Interact with customers directly to understand the business problem, help and aid them in implementation of generative AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production - Create and deliver best practice recommendations, tutorials, blog posts, publications, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction About the team 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. 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. 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. 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 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.

We’re working on the future. If you are seeking an iterative fast-paced environment where you can drive innovation, apply state-of-the-art technologies to solve large-scale real world delivery challenges, and provide visible benefit to end-users, this is your opportunity. Come work on the Amazon Prime Air Team! We are seeking a highly skilled weather scientist to help invent and develop new models and strategies to support Prime Air’s drone delivery program. In this role, you will develop, build, and implement novel weather solutions using your expertise in atmospheric science, data science, and software development. You will be supported by a team of world class software engineers, systems engineers, and other scientists. Your work will drive cross-functional decision-making through your excellent oral and written communication skills, define system architecture and requirements, enable the scaling of Prime Air’s operation, and produce innovative technological breakthroughs that unlock opportunities to meet our customers' evolving demands. About the team Prime air has ambitious goals to offer its service to an increasing number of customers. Enabling a lot of concurrent flights over many different locations is central to reaching more customers. To this end, the weather team is building algorithms, tools and services for the safe and efficient operation of prime air's autonomous drone fleet.

Are you passionate about leveraging your applied science skills to deliver actionable insights that impact daily business decisions? Do you thrive using causal inference, experimentation, and Machine Learning/AI to answer challenging product and customer behavior questions? Do you want to be a technical leader and build flexible and global solutions for complex financial, risk, and causal problems? If so, here is a great opportunity to consider! Amazon B2B Payments & Lending is seeking a Senior Applied Scientist who will combine their technical expertise with business intuition to generate critical insights that will set the strategic direction of the business. You will be a thought leader on the team, help set the team's strategic focus and roadmaps, and design and build systems/solutions that support financial products, working closely with business/product partners and engineers. You will utilize causal inference/experimentation/ML/AI methodologies, data and coding skills, problem solving and analytical skills, and excellent communication to deliver customer value. As a Senior Applied Scientist on our team, you'll play a pivotal role in uncovering actionable insights that shape the strategic direction of our products and services. You'll work closely with business stakeholders, data scientists, and engineers to tackle complex problems at the intersection of finance, risk modeling, and customer behavior. A day in the life - Collaborate with product, data, and engineering teams to identify key business and customer questions that can be answered through advanced analytics and machine learning - Design and build flexible, scalable solutions that leverage causal inference, experimentation, and applied ML/AI to provide critical insights that drive strategic decisions - Present analyses and recommendations to stakeholders, while also mentoring more junior data scientists and innovating on the team's capabilities About the team The Amazon B2B Payments & Lending team is a fast-paced, highly collaborative group focused on enabling seamless financial experiences for our business customers. We're building innovative solutions that leverage the power of data, AI, and automation to deliver frictionless payment processing, credit decisioning, and financial management tools. Our team culture is one of curiosity, creativity, and a relentless drive to delight our customers. We value bold thinking, data-driven decision making, and a willingness to experiment and learn. If you're passionate about using your technical expertise to drive meaningful business impact, this is an exciting opportunity to make a difference.

Amazon Q Business is an AI assistant powered by generative technology. It provides capabilities such as answering queries, summarizing information, generating content, and executing tasks based on enterprise data. We are seeking a Language Data Scientist II to join our data team. Our mission is to engineer high-quality datasets that are essential to the success of Amazon Q Business. From human evaluations and Responsible AI safeguards to Retrieval-Augmented Generation and beyond, our work ensures that Generative AI is enterprise-ready, safe, and effective for users. As part of our diverse team—including language engineers, linguists, data scientists, data engineers, and program managers—you will collaborate closely with science, engineering, and product teams. We are driven by customer obsession and a commitment to excellence. In this role, you will leverage data-centric AI principles to assess the impact of data on model performance and the broader machine learning pipeline. You will apply Generative AI techniques to evaluate how well our data represents human language and conduct experiments to measure downstream interactions. Key job responsibilities * oversee end-to-end evaluation data pipeline and propose evaluation metrics and methods * incorporate your knowledge of linguistic fundamentals, NLU, NLP to the data pipeline * process and analyze diverse media formats including audio recordings, video, images and text * perform statistical analysis of the data * write intuitive data generation & annotation guidelines * write advanced and nuanced prompts to optimize LLM outputs * write python scripts for data wrangling * automate repetitive workflows and improve existing processes * perform background research and vet available public datasets on topics such as long text retrieval, text generation, summarization, question-answering, and reasoning * leverage and integrate AWS services to optimize data collection workflows * collaborate with scientists, engineers, and product managers in defining data quality metrics and guidelines. * lead dive deep sessions with data annotators About the team About AWS Diverse Experiences AWS 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. 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 AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do. 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.

** This position is open to all candidates in NYC and Arlington, VA Amazon Ads Response Prediction team is your choice, if you want to join a highly motivated, collaborative, and fun-loving team with a strong entrepreneurial spirit and bias for action. We are seeking an experienced and motivated Machine Learning Applied Scientist who loves to innovate at the intersection of customer experience, deep learning, and high-scale machine-learning systems. Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses 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 to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities. We are looking for a talented Machine Learning Applied Scientist for our Amazon Ads Response Prediction team to grow the business. We are providing advanced real-time machine learning services to connect shoppers with right ads on all platforms and surfaces worldwide. Through the deep understanding of both shoppers and products, we help shoppers discover new products they love, be the most efficient way for advertisers to meet their customers, and helps Amazon continuously innovate on behalf of all customers. Key job responsibilities As a Machine Learning Applied Scientist, you will: * Conduct deep data analysis to derive insights to the business, and identify gaps and new opportunities * Develop scalable and effective machine-learning models and optimization strategies to solve business problems * Run regular A/B experiments, gather data, and perform statistical analysis * Work closely with software engineers to deliver end-to-end solutions into production * Improve the scalability, efficiency and automation of large-scale data analytics, model training, deployment and serving * Conduct research on new machine-learning modeling to optimize all aspects of Sponsored Products business About the team We are pioneers in applying advanced machine learning and generative AI algorithms in Sponsored Products business. We empower every customer with a customized discovery experiences from back-end optimization (such as customized response prediction models) to front-end CX innovation (such as widgets), to help shoppers feel understood and shop efficiently on and off Amazon.

MULTIPLE POSITIONS AVAILABLE Employer: AMAZON.COM SERVICES LLC Offered Position: Data Scientist III Job Location: Chicago, Illinois Job Number: AMZ9082360 Position Responsibilities: Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts. Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. Position Requirements: Master’s degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1.) using SQL, ETL or Oracle; (2.) processing large, multi-dimensional datasets from multiple sources; and (3.) developing automated reporting. Partial telecommuting permitted; employees will be required to report to office multiple days per week. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation. 40 hours / week, 8:00am-5:00pm, Salary Range $159,200/year to $215,300/year. #0000

The Artificial General Intelligence (AGI) team is looking for a highly skilled and experienced Applied Scientist. You will develop and implement state-of-the-art algorithms and models for advanced information retrieval, and tune LLM-based prompting to optimize Retrieval Augmented Generation (RAG) for customer experiences. As a Senior Applied Scientist, you will play a critical role developing Amazon's foundational Generative AI (Gen AI) technologies that serve our global customers. Key job responsibilities - Collaborate with cross-functional teams of engineers, product managers, and scientists to identify and solve complex problems in Gen AI - 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 Gen AI 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

Are you passionate about working with Amazon-scale data, deep analytics, and data science? Do you thrive on developing innovative models and insights that elevate customer shopping experience while ensuring brand integrity and product accuracy? If so, join our team and play a pivotal role in shaping the future of Amazon’s Consumables shopping experience! We are looking for an experienced and self-driven Senior Data Scientist to help us leverage Amazon-scale data to improve the accuracy, integrity, and presentation of Consumables everyday essentials. If you are passionate about using data science to enhance customer shopping experiences, protect top brands, and ensure their products are represented accurately, this role is for you! In this role, you will further the development and application of modeling and analytics methods to examine the complex data flows of customer shopping data and brand catalogs, to generate actionable insights for a wide breadth of product teams. You will lead the development, improvement, and expansion of Amazon's systems and mechanisms for protecting and ensuring the accuracy of our everyday essentials product offerings. You will make high judgment decisions, present persuasive data cases to executive leadership, and have an enduring impact on the future of Amazon's Consumables online shopping experience. You will work closely with a high-energy team consisting of data science, data engineering, business intelligence engineering, and product management tech, as well as cross-functionally across many partner teams. You will lead your teammates and partner teams through high complexity with data modeling to arrive at clear strategic direction. The tools you build will have visibility at the highest levels of Amazon's leadership team. Key job responsibilities - Oversee multiple model development programs in various stages of the lifecycle, from conception to development, to launch, expansion, and retirement. - Lead and direct engineering of massive datasets, effective exploratory data analysis, and model building using industry standard AI/ML models. - Define creative, high-quality, long-term product roadmaps based on team strategy and vision. - Partner with engineering teams to define data logging requirements and getting these prioritized in engineering roadmaps. - Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers. - Innovate by adapting new modeling techniques and procedures. - Manage prioritization and trade-offs among customer experience, performance, and operational support load. Design A/B tests and conduct statistical analysis on their results Mentor junior engineers and scientists Research and implement ML and statistical approaches to add value to the business A day in the life As a Senior Data Scientist in the Everyday Essential Brand Health (EEBH) team, your day will be dynamic and impactful. Your day might start with a review of current priorities which were aligned with your PM-T partners. Your morning could involve diving into an experiment’s results, analyzing the impact of a mechanism on product discoverability. Midday, you might collaborate with PM-Ts to review the result of a detection model and provide data-driven recommendations to optimize outputs. In the afternoon, you could be partnering with BIEs to enhance data pipelines, or presenting insights to leadership to drive strategic decisions. Throughout the day, you’ll be leveraging the latest data science techniques to solve complex problems, ensuring Amazon customers receive an accurate and trustworthy shopping experience for everyday essentials. About the team The Everyday Essential Brand Health (EEBH) team is dedicated to earning the trust of both customers and brand owners by ensuring the accurate and high-quality presentation of Consumables everyday essentials on Amazon. Our mission is to protect top brands, maintain product integrity, and enhance the shopping experience by leveraging data-driven insights and scalable solutions. We work at the intersection of data science, engineering, and product management to develop mechanisms that safeguard brand representation and ensure customers can confidently discover and purchase essential products with trust and ease.

Are you passionate about pushing the boundaries of Computer Vision, Multimodal AI, and Video Technology? Join us in revolutionizing how millions of customers discover and shop through video on Amazon! Amazon Shopping Videos powers Amazon Live, a dynamic platform where creators and brands connect with customers through engaging live and recorded video content. We're at the forefront of combining entertainment with shopping, and we're looking for an exceptional Applied Scientist to help shape the future of video commerce. Key job responsibilities - Develop advanced solutions in computer vision, multimodal LLMs, and content understanding to create next-generation video experiences - Drive innovation in video recommendation systems, helping customers discover exactly what they're looking for (and delighting them with what they didn't know they needed) - Design and implement sophisticated video generation and understanding solutions that scale across Amazon's massive customer base - Collaborate with product managers and fellow scientists to transform research concepts into production-ready features - Shape the technical direction of video commerce through novel algorithms and modeling techniques About the team We're an innovation-focused team within Amazon, combining thoughtful development with ambitious goals. Our playground includes: - Building and deploying advanced multimodal LLMs for video understanding - Creating intelligent recommendation systems that understand both visual and contextual signals - Developing sophisticated computer vision solutions for real-time video analysis - Pushing the boundaries of content understanding and automated video generation We're not just building features - we're defining the future of how people shop through video. Our team combines the structure and resources of Amazon with the excitement of working on advanced technology, giving you the opportunity to make a massive impact on how millions of customers discover and engage with products.