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Amazon is a pioneering, dynamic, and forward-thinking company that thrives on unique and peculiar ways. We take pride in our single-minded obsession over customer satisfaction and our ability to maintain a curious culture no matter how large the company grows. We endeavor to build our legacy as Earth’s most customer-centric company and to continue to cultivate and nourish our innovative environment through our mission to hire the best. If you are a financial accounting professional who consistently exceeds expectations, who dares to make bold decisions, and whose ears perk up at the prospect of a challenge, then Amazon is a place where your career can flourish.When working at Amazon, your ability to make a difference and take ownership of your career begins on day one. You can expect a collaborative, team-driven environment that encourages employees to learn, be curious, and have a bias for action. Part of this propensity for continuous learning shows itself in Amazon’s strong encouragement of movement and growth within the Accounting department and within the company as a whole. We aim to hire and develop those who will raise the bar over the course of their career at Amazon (and not just in their first position). Amazon’s accounting group offers opportunities at the Accounting Manager level in Legal Entity & Intercompany, Accounting Policy & Reporting, Operations and Capital, Transportation, Payments & Merchant Services, Retail Operations, Digital, and AWS Accounting.Key job responsibilities• Supporting various aspects of our accounting and reporting process.• End-to-end process ownership to support finance and business partners.• Understand internal control design concepts sufficient to assess the effectiveness of controls in their area and to design new processes and controls for emerging and growing business activities.• Execute judgments to keep projects moving and ensure the right decisions are reached to close the books each month.• Escalating risks and issues as necessary to leadership.• Strong sense of ownership.• Ability to identify process improvement and automation opportunities to drive positive change across the organization.• Lead delivery of accounting tasks and projects.• Enhance partnerships between Accounting and various business and IT groups.Research, conclude and memorialize technical accounting position papers.BASIC QUALIFICATIONS- Bachelor's degree in accounting or related field- 5+ years of finance or a related analytical field experience ...

Amazon's Canada team is seeking an experienced, enthusiastic, and creative Brand Specialist to join our Toys team, furthering our vision to make Amazon.ca the preferred toys destination across Canada. In this role, you will work directly with strategic vendor partners to develop their business on Amazon.ca. Your responsibilities will include developing and executing brand strategies, analyzing market trends and consumer insights, and creating sales plan. You'll monitor brand performance metrics, work cross-functionally with internal teams to enhance the toy shopping experience, and stay current with Canadian toy market trends. This position requires a balance of strategic thinking and hands-on execution to drive the growth of Amazon.ca's toy category in the Canadian market. Your creative ideas and analytical skills will be crucial in identifying opportunities for business growth and optimization, ultimately contributing to Amazon.ca's position as the go-to destination for toy purchases in Canada.Key job responsibilitiesThe Brand Specialist role on Amazon Canada's Toys team offers an exciting introduction to online retail and serves as a broad training ground for future success. This position involves working directly with strategic toy vendors to grow their businesses and optimize supply chains on Amazon.ca. The Brand Specialist will collaborate with multiple internal teams, including In-stock, Vendor Management, and Site Merchandising, as well as management to develop and execute strategies that grow and improve the toy product portfolio. Key responsibilities include managing vendor partnerships, enhancing performance indicators, optimizing supply chains, and contributing to site merchandising efforts to improve the overall toy shopping experience. This role requires an experienced brand manager capable of both strategic thinking and tactical execution, who can develop skills across various functional areas of e-commerce. The ideal candidate will balance long-term planning with immediate action, applying their expertise to grow the toy category on Amazon.ca while gaining valuable exposure to different aspects of the online retail business.A day in the life- Acting as the ‘business owner’ for his or her vendors in their respective categories, possessing a complete understanding of internal and external variables that impact the business- Owning forecasting, monitoring, understanding and reporting on vendors, along with responsibility for driving strategic supply chain projects and promotions to achieve business objectives- Proactively negotiating costs, promotional opportunities, and other business inputs for the vendor — autonomously- Conducting pricing and ROI analysis and making recommendations for initiatives that optimize profit margin- Managing Purchase Orders and In-Stock analysis for the strategic brands- Optimizing the online presence and content of each product on the brand's portfolio- Developing and executing marketing plans in order to drive awareness and purchases for the brand- Driving cross-category initiatives to improve operational process and deliver resultsAbout the teamOur team has a strong culture of hard working individuals that value flexibility, ownership, and ability to create our own priorities. Success is driven by an ability to operate independently, while sharing learnings, wins, and misses across the team.BASIC QUALIFICATIONS- 2+ years of account management, project or program management or buying experience- Bachelor's degree- Experience in financial analysis, retail buying, retail planning & allocation, product/project management, marketing, business development, consulting, negotiation or supply chain ...

The Amazon Smart Vehicles (ASV) science team is seeking a passionate and skilled Applied Scientist with extensive expertise in advanced LLM technologies.This role involves innovating in rapidly evolving areas of AI research, focusing on creating personalized services to enhance drivers' and passengers' experiences. Your work will aim to simplify their lives, keep them informed, entertained, productive, and safe on the road, with direct application to prominent Amazon products.If you have extensive expertise in LLMs, natural language processing, and machine learning, along with experience in high-performing research teams, this could be the perfect opportunity for you. Our dynamic and fast-paced environment demands a high level of independence in decision-making and the ability to drive ambitious research initiatives through to production. You will collaborate closely with other science and engineering teams, as well as business stakeholders, to ensure your contributions are both impactful and delivered with maximum efficiency.Key job responsibilities- Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI)- Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs- Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.About the teamThis is an exciting moment to lead in AI research. As part of the Amazon Smart Vehicles science team, you have the opportunity to shape the future by enhancing information-driven experiences for Amazon customers around the globe. Your work will directly influence customers through innovative products and services powered by language and multimodal technology!BASIC QUALIFICATIONS- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

Amazon’s Automated Inventory Management (AIM) team is looking for passionate, hard-working, and talented individuals to join our fast paced, stimulating environment to help invent the future of business ownership with Technology, and to translate big data into actionable insights.The AIM team is part of the Supply Chain Optimization Technology (SCOT) Team within the Operations Organization.As an Applied Scientist on the AIM team, you will design quantitative systems, prediction models and solve real world problems using the latest machine learning techniques. You will also work with a team of Product Managers, Business Intelligence Engineers and Software Engineers to research and build solutions to provide insights to business leaders at the most senior levels throughout the company.Key job responsibilitiesImplement statistical and machine learning methods to solve complex business problemsResearch new ways to improve predictive and explanatory modelsDirectly contribute to the design and development of automated prediction systems and ML infrastructureBuild models that can detect supply chain defects and explain variance to the optimal stateCollaborate with other researchers, software developers, and business leaders to define the scientific roadmap for this teamBASIC QUALIFICATIONS- 2+ years of building models for business application experience- PhD, or Master's degree and 1+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Are you fascinated by the power of Natural Language Processing (NLP) and Large Language Models (LLM) to transform the way we interact with technology? Are you passionate about applying advanced machine learning techniques to solve complex challenges across Amazon's varied businesses? If so, Amazon's Legal technologies team has an exciting opportunity for you as an Applied Scientist.At Amazon, we strive to be Earth's most customer-centric company, where customers can find and discover anything they want to buy online. Amazon Legal technologies team plays a pivotal role in supporting all Amazon Businesses and solving complex customer problems.As an Applied Scientist, you will join a talented and collaborative team that is dedicated to driving innovation and delivering exceptional experiences for our customers. You will be part of a global team that is focused on solving both Legal and business problems. The position is based in Seattle but will interact with global customers and teams.Join us at Amazon Legal tech and you would have the opportunity to solve some the most complex problems surrounding the Legal industry. Please visit https://www.amazon.science for more informationKey job responsibilitiesApply your expertise in LLM models to design, develop, and implement scalable machine learning solutions that address complex language-related challenges.Collaborate with cross-functional teams, including software engineers, applied scientists, and product managers, to define project requirements, establish success metrics, and deliver high-quality solutions.Continuously explore and evaluate state-of-the-art NLP techniques and methodologies to improve the accuracy and efficiency of language-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.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by preventing eCommerce fraud?Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real world problems?Do you like to own end-to-end business problems/metrics and directly impact the profitability of the company? Do you enjoy collaborating in a diverse team environment?If yes, then you may be a great fit to join the Amazon Buyer Risk Prevention (BRP) Machine Learning group. We are looking for a talented scientist who is passionate to build advanced algorithmic systems that help manage safety of millions of transactions every day.Key job responsibilitiesUse machine learning and statistical techniques to create scalable risk management systemsLearning and understanding large amounts of Amazon’s historical business data for specific instances of risk or broader risk trendsDesign, development and evaluation of highly innovative models for risk managementWorking closely with software engineering teams to drive real-time model implementations and new feature creationsWorking closely with operations staff to optimize risk management operations,Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementationTracking general business activity and providing clear, compelling management reporting on a regular basisResearch and implement novel machine learning and statistical approachesBASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Unleash Your Potential as an AI TrailblazerAt Amazon, we're on a mission to revolutionize the way people discover and access information. Our Applied Science team is at the forefront of this endeavor, pushing the boundaries of recommender systems and information retrieval. We're seeking brilliant minds to join us as interns and contribute to the development of cutting-edge AI solutions that will shape the future of personalized experiences.As an Applied Science Intern focused on Recommender Systems and Information Retrieval in Machine Learning, you'll have the opportunity to work alongside renowned scientists and engineers, tackling complex challenges in areas such as deep learning, natural language processing, and large-scale distributed systems. Your contributions will directly impact the products and services used by millions of Amazon customers worldwide.Imagine a role where you immerse yourself in groundbreaking research, exploring novel machine learning models for product recommendations, personalized search, and information retrieval tasks. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: Knowledge Graphs and Extraction, Programming/Scripting Languages, Time Series, Machine Learning, Natural Language Processing, Deep Learning,Neural Networks/GNNs, Large Language Models, Data Structures and Algorithms, Graph Modeling, Collaborative Filtering, Learning to Rank, Recommender SystemsIn this role, you'll collaborate with brilliant minds to develop innovative frameworks and tools that streamline the lifecycle of machine learning assets, from data to deployed models in areas at the intersection of Knowledge Management within Machine Learning. You will conduct groundbreaking research into emerging best practices and innovations in the field of ML operations, knowledge engineering, and information management, proposing novel approaches that could further enhance Amazon's machine learning capabilities.The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.A day in the life- Design, implement, and experimentally evaluate new recommendation and search algorithms using large-scale datasets- Develop scalable data processing pipelines to ingest, clean, and featurize diverse data sources for model training- Conduct research into the latest advancements in recommender systems, information retrieval, and related machine learning domains- Collaborate with cross-functional teams to integrate your innovative solutions into production systems, impacting millions of Amazon customers worldwide- Communicate your findings through captivating presentations, technical documentation, and potential publications, sharing your knowledge with the global AI communityBASIC QUALIFICATIONS- Are enrolled in a PhD- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience programming in Java, C++, Python or related language- Experience with one or more of the following: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages ...

We at Amazon Pharmacy are on a mission to reinvent pharmacy and are committed to building world’s most customer-centric pharmacy experience. We do this by delivering secure, convenient and price competitive pharmacy experience. The central analytics and data platform team plays a pivotal role in enabling data based business decisions.Do you want to be in the forefront of engineering big data solutions that takes analytics at Amazon Pharmacy to the next generation? Do you have a solid analytical thinking, metrics driven decision making and want to solve problems with solutions that will meet the growing needs in the analytical space? We are looking for a high-caliber Business Intelligence Engineer to be part of our data warehousing and analytics team. We are building real time analytical platforms using big data tools and AWS technologies.The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex technical contexts, and, above all else, is passionate about data and analytics. They are an expert on data modeling, ETL design and business intelligence tools with the business to identify strategic opportunities where improvements in data infrastructure creates out-sized business impact. They are self-starters, comfortable with ambiguity, able to think big (while paying careful attention to detail), and enjoys working in a fast-paced team. Key job responsibilitiesPartner with Pharmacy business, tech and data science leadership to define and deliver a world-class data infrastructure supporting Amazon Pharmacy's continued growth and our mission to be Earth's Best Pharmacy. - Architect scalable and resilient data solutions for real time and batch processing. Build self-service business intelligence infrastructure for Amazon Pharmacy analytics users- Work with SDEs/other DEs to invent, design and build data solutions that are stable and performant.- Help your team evolve by actively participating in the code review process, design discussions, team planning, and ticket/metric/COE reviewsAbout the teamWe accelerate business insights and data-driven innovation by providing trustworthy, intuitive, on-time and cost-efficient analytics and data engineering solutions. To accomplish our vision: (1) we provide data warehousing solutions for the undifferentiated heavy lifting that Amazon Pharmacy teams must engage in to work with data. (2) we leverage our position as a central data broker to identify and capitalize on opportunities for privacy and security improvements, cost reduction, and greater organizational efficiency (3) we continuously look ahead to identify common patterns in analytics and ‘pave the road’ for Amazon Pharmacy teams to quickly and easily solve business objectives and derive insights from data using native AWS solutions wherever possible and finally (4) we leverage our position as a central analytics team to surface key performance indicators for product and process improvements spanning across various pharmacy departments.BASIC QUALIFICATIONS- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)- Experience with scripting language (e.g., Python, Java, or R) ...

Do you have a passion for data? Are you matriculating in a Master’s or PhD program? Amazon is looking for driven data science students with strong modeling skills who are comfortable owning and executing data. To be successful in this internship, you will need the ability to develop, automate, and run analytical models for our systems. During this internship, you will build tools and support structures needed to analyze and dive deep into data to resolve systems errors and changes. You will have the ability to present your findings to our business partners and help drive improvements.Previous applicants demonstrated the aptitude to manage medium-scale modeling projects, identified requirements, and built methodology/tools that were statistically grounded.For more information on the Amazon Science community please visit https://www.amazon.scienceBASIC QUALIFICATIONS- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)- Experience in data science, machine learning or data mining- Experience with big data: processing, filtering, and presenting large quantities (100K to Millions of rows) of data- Must be actively enrolled in a Master's or PhD program ...

Our mission is to create best-in-class AI agents that seamlessly integrate multimodal inputs like speech, images, and video, enabling natural, empathetic, and adaptive interactions. We develop cutting-edge Large Language Models (LLMs) that leverage advanced architectures, cross-modal learning, interpretability, and responsible AI techniques to provide coherent, context-aware responses augmented by real-time knowledge retrieval.We seek a talented Applied Scientist with expertise in LLMs, speech, audio, NLP, or multimodal learning to pioneer innovations in data simulation, representation, model pre-training/fine-tuning, generation, reasoning, retrieval, and evaluation. The ideal candidate will build scalable solutions for a variety of applications, such as streaming real-time conversational experiences, including multilingual support, talking avatar interactions, customizable personalities, and conversational turn-taking. With a passion for pushing boundaries and rapid experimentation, you'll deliver high-impact solutions from research to customer-facing products and services.Key job responsibilitiesAs an Applied Scientist, you'll leverage your expertise to research novel algorithms and modeling techniques to develop data simulation approaches mimicking real-world interactions with a focus on the speech modality. You'll acquire and curate large, diverse datasets while ensuring privacy, creating robust evaluation metrics and test sets to comprehensively assess LLM performance. Integrating human-in-the-loop feedback, you'll iterate on data selection, sampling, and enhancement techniques to improve the core model performance. Your innovations in data representation, model pre-training/fine-tuning on simulated and real-world datasets, and responsible AI practices will directly impact customers through new AI products and services.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Join the next revolution in robotics at Amazon's Frontier AI & Robotics team, where you'll work alongside world-renowned AI pioneers like Pieter Abbeel, Rocky Duan, and Peter Chen to push the boundaries of what's possible in robotic intelligence. As an Applied Scientist, you'll be at the forefront of developing breakthrough foundation models that enable robots to perceive, understand, and interact with the world in unprecedented ways. You'll drive independent research initiatives in areas such as perception, manipulation, scence understanding, sim2real transfer, multi-modal foundation models, and multi-task learning, designing novel algorithms that bridge the gap between cutting-edge research and real-world deployment at Amazon scale.In this role, you'll balance innovative technical exploration with practical implementation, collaborating with platform teams to ensure your models and algorithms perform robustly in dynamic real-world environments. You'll have access to Amazon's vast computational resources, enabling you to tackle ambitious problems in areas like very large multi-modal robotic foundation models and efficient, promptable model architectures that can scale across diverse robotic applications.Key job responsibilities- Design and implement novel deep learning architectures that push the boundaries of what robots can understand and accomplish- Drive independent research initiatives in robotics foundation models, focusing on breakthrough approaches in perception, and manipulation, for example open-vocabulary panoptic scene understanding, scaling up multi-modal LLMs, sim2real/real2sim techniques, end-to-end vision-language-action models, efficient model inference, video tokenization- Lead technical projects from conceptualization through deployment, ensuring robust performance in production environments- Collaborate with platform teams to optimize and scale models for real-world applications- Contribute to the team's technical strategy and help shape our approach to next-generation robotics challengesA day in the life- Design and implement novel foundation model architectures, leveraging our extensive compute infrastructure to train and evaluate at scale- Collaborate with our world-class research team to solve complex technical challenges- Lead technical initiatives from conception to deployment, working closely with robotics engineers to integrate your solutions into production systems- Participate in technical discussions and brainstorming sessions with team leaders and fellow scientists- Leverage our massive compute cluster and extensive robotics infrastructure to rapidly prototype and validate new ideas- Transform theoretical insights into practical solutions that can handle the complexities of real-world robotics applicationsAmazon 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 teamAt Frontier AI & Robotics, we're not just advancing robotics – we're reimagining it from the ground up. Our team, led by pioneering AI researchers Pieter Abbeel, Rocky Duan, and Peter Chen, is building the future of intelligent robotics through groundbreaking foundation models and end-to-end learned systems. We tackle some of the most challenging problems in AI and robotics, from developing sophisticated perception systems to creating adaptive manipulation strategies that work in complex, real-world scenarios.What sets us apart is our unique combination of ambitious research vision and practical impact. We leverage Amazon's massive computational infrastructure and rich real-world datasets to train and deploy state-of-the-art foundation models. Our work spans the full spectrum of robotics intelligence – from multimodal perception using images, videos, and sensor data, to sophisticated manipulation strategies that can handle diverse real-world scenarios. We're building systems that don't just work in the lab, but scale to meet the demands of Amazon's global operations.Join us if you're excited about pushing the boundaries of what's possible in robotics, working with world-class researchers, and seeing your innovations deployed at unprecedented scale.BASIC QUALIFICATIONS- PhD in computer science, machine learning, engineering, or related fields- Experience programming in Java, C++, Python or related language- Publication record at top-tier conferences (NeurIPS, ICML, ICLR, CVPR, ICCV, RSS, CoRL)- Experience developing and implementing deep learning models- Strong programming skills in Python and PyTorch/JAX- Track record of solving complex technical problems ...

Amazon’s Account Integrity team within the Customer Trust and Partner Support organization is looking for a passionate, results-oriented Business Analyst to leverage data to deliver projects with huge strategic impact. This team designs and builds high performance software systems using machine learning that identify and prevent fraudulent activity and maintain high trust levels with our customers. Fraud prevention is a real-money game where our software and analytics teams strive to outsmart those who attempt to defraud Amazon and our customers.As a Business Analyst in the Account Integrity group, you will be responsible for analyzing and reporting large data sets in partnership with product managers, scientists, and engineers to ensure the team is prioritizing the right goals and opportunities to stop bad actors and protect customers.Responsibilities:- Create, maintain, and improve data sets, pipelines and reporting to track and manage important KPIs and goals in the Account Integrity space- Apply your expertise in quantitative analysis, data visualization and data-mining to design alarming system, derive actionable insights and guide product strategy for stakeholders and leadership- Develop internal reporting/visualization tools for self-serve- Provide analytical support for new feature launches- Effectively communicate complex analytical concepts to non-technical stakeholders to drive decision makingKey job responsibilities- Deep diving business trends, analyzing anomalies and guiding business decision-making through data- Building dashboard/scalable metric tracking mechanisms- Working closely with Business and Operations teams to find ways to mitigate bad actor attacks- Ensuring that the team works backwards from the customer problem using dataAbout the teamThe Account Integrity’s mission is to prevent bad actors from using the Amazon brand or Amazon accounts to harm customers, sellers, and the Amazon business.BASIC QUALIFICATIONS- 3+ years of business analyst, data analyst or similar role experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- Bachelor's degree or equivalent- Experience defining requirements and using data and metrics to draw business insights- Experience with Excel- Experience with SQL- Experience making business recommendations and influencing stakeholders- Experience with data visualization using Tableau, Quicksight, or similar tools ...

Are you passionate about tackling challenging problems in the realm of safety and effecting change for millions of Amazon Associates globally? Join our WHS-datatech team as an Applied Scientist and elevate your career to new heights! We are dedicated to creating cutting-edge software solutions utilizing computer vision, wearable technology, and machine learning models to enhance the well-being and safety of our workforce on a large scale.In this role as an Applied Scientist specializing in LLM (Large Language Model) and computer vision, you will be at the forefront of designing and implementing critical product features. Your expertise in these areas will be instrumental in shaping our strategic direction by defining feature requirements, influencing system architecture decisions, and championing best practices to deliver a top-tier product. You will play a key role in developing software solutions from the ground up, optimizing our internal processes, and collaborating with external partners. The Applied Scientist position requires experience in LLM and computer vision, technical acumen, problem-solving experience, effective communication skills, and a desire to drive impactful technical advancements.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 Coverage2. Maternity and Parental Leave Options3. Paid Time Off (PTO)4. 401(k) PlanIf 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!Key job responsibilitiesApply LLM model to analyze complex unstructured datasets and extract meaningful insights.Collaborate with software engineers to implement and deploy machine learning (LLM or CV) solutions.Conduct experiments and evaluate model performance, iterating and improving as needed.Stay up-to-date with the latest advancements in machine learning and related fields.Collaborate with cross-functional teams to understand business needs and identify areas for application of machine learning.Present findings and recommendations to stakeholders and contribute to the overall research and development strategy.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing- PhD degree in CS, CE, or related technical field.- A formal PhD degree in CS, CE, or related technical field can be replaced by 5 years of relevant experience on top of a MSc, and 7 years on top of a BSc. ...

Amazon is looking for talented Postdoctoral Scientists to join the Decision Science & Technology team within Amazon RME for a one-year, full-time research position.The host team is developing novel approaches to Anomaly Detection within our Fulfillment Centers. These algorithms are used to detect issues with our equipment before they progress into breakdowns or impact business operations. A variety of data are collected on the equipment, which must be monitored using powerful and scalable solutions.The postdoc is expected to develop novel algorithms based on Machine Learning that captures and diagnoses these anomalies. Experience with transfer learning and deep learning would be valuable to produce adaptable and scalable solutions.Key job responsibilities• 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.• Be comfortable with a fast-paced work with a lot of unknowns and hands-on engagement.BASIC QUALIFICATIONS• PhD in a relevant field, received within 2 years of starting the program• Proven publication record in Statistics or Machine Learning* Experience with at least one of Anomaly Detection, Transfer Learning, or Deep Learning ...

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.As a Business Intelligence / Data Engineer you will enable data-driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization.The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to : Safety, Security, maintenance, daily operations, logistics, engineering and equipment management. You will be developing, implementing and maintaining the information data warehouse, and utilizing insight platforms, to enable decision support systems for the overall organization. You should have excellent business and communication skills, and be able to work with business owners to understand their data and reporting requirements. Above all, you should be passionate about working with huge data sets and be someone who is able to bring data sets together to answer business questions and drive growth. You will build ETLs to ingest the data into the data warehouse and data lake, as well as end-user facing reporting applications. You will primarily support teams within the Infrastructure environment, but will also have opportunities to support teams in the overall Amazon Web Services community.You will work with business customers and development teams to define analytics requirements and then deliver flexible, scalable, end-to-end solutions. You will have an opportunity to work with big data and emerging technologies while driving business intelligence solutions end-to-end: business requirements, data modeling, ETL, metadata, reporting, and dashboarding. You should have expertise in the design, creation, management, and business use of large datasets.Key job responsibilities- Passion for storytelling through the visualization of data. We are looking for someone who obsesses about the user experience and who excels in driving business outcomes through the dashboards they develop. - Experience with Tableau or similar visualization/dashboarding platforms like PowerBI, QlikView, Google Charts, Amazon QuickSight, etc.- Moderate to Advanced SQL skills. Skill with aggregate functions, joins between three or more data sources, window functions, and query optimization.- Experience in building presentation layers for reporting dashboards in SQL. - Ability to design and build tables for staging and presentation, outside of the visualization software, in AWS Redshift or other similar Data Warehouse (DW) platform. - Knowledge and understanding of data modeling and data design, e.g. fact and dimension tables, snowflake and star schema, etc.- Experience in building automation to extract data from a Data Lake/Data Warehouse into visualizations. - Optimizing large volumes of data through organization of building views and tables with business metrics and KPIs, and creating scheduled, recurring jobs to load data into the visualization environment.- Excellent communication skills, verbal and written.- Experience leading projects, interacting with customers and stakeholders to deliver successful dashboard products.About the teamAmazon 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.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.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. 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.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. BASIC QUALIFICATIONS- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Knowledge of SQL and data warehousing concepts- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with Airflow DAGs for ETL ...

Amazon's Consumer Electronics Tech (CE Tech) organization is seeking an Applied Science Manager to lead, manage, and grow a team of talented Applied Scientists. This team leverages Artificial Intelligence (AI) including Generative AI (GenAI) and state of the art Machine Learning (ML) techniques to build the next-generation experiences for customers shopping on the Amazon website and the mobile app. Many of the initiatives we prioritize have broad, cross-category scope and impact, from developing innovating science solutions to improve personalized product attach recommendations, generating detail page content for Bundle ASINs, developing solutions for the evaluation and benchmarking of Large Language Models for a variety of use cases, etc. In 2024, we also launched the fastest growing and most used AI Assistant by Amazonians using Anthropic's Claude LLMs. As the AS manager, you will be leading an exciting and diverse portfolio of AS initiatives, and you will have strong influence on our prioritization. Key job responsibilitiesThis role has 3 main responsibilities: 1) Set the strategic vision for the Applied Science team in collaboration with key stakeholders, and drive the vision forward. This includes up-leveling the team's profile within the broader SVP org and identifying collaboration opportunities with other teams and execute on them, as well as contributing actively to annual planning, product roadmap prioritization, and maintaining a high bar on operational excellence, 2) Create mechanisms for the smooth functioning of your team, including mechanisms for auditing, sprint planning, and execution, 3) Hire & Develop your team, including creating appropriate scope of work for your team members to set them up for success.Your team will partner closely with Product Managers, Software Development Managers, and Software/ML engineers to envision, and bring to life features and experiences that delight Amazon shoppers WW. In addition, this team also invests in developing strong thought leadership with cross-organization influence, as well as publishing papers at prestigious internal and external AI / ML conferences. As the Applied Science Manager, you will be responsible for guiding your team in the creation and deployment of sophisticated algorithms and models that drive measurable improvements in customer satisfaction and business metrics. You will identify high-impact opportunities and translate complex business problems into actionable data science solutions. BASIC QUALIFICATIONS- 5+ years of scientists or machine learning engineers management experience- 6+ years of building machine learning models or developing algorithms for business application experience ...

The Private Brands Discovery team designs innovative machine learning solutions to enhance customer awareness of Amazon’s own brands and help customers find products they love. This interdisciplinary team of scientists and engineers incubates and develops disruptive solutions using cutting-edge technology to tackle some of the most challenging scientific problems at Amazon. To achieve this, the team utilizes methods from Natural Language Processing, deep learning, large language models (LLMs), multi-armed bandits, reinforcement learning, Bayesian optimization, causal and statistical inference, and econometrics to drive discovery throughout the customer journey. Our solutions are crucial to the success of Amazon’s private brands and serve as a model for discovery solutions across the company.This role presents a high-visibility opportunity for someone eager to make a business impact, delve into large-scale problems, drive measurable actions, and collaborate closely with scientists and engineers. As a team lead, you will be responsible for developing and coaching talent, guiding the team in designing and developing cutting-edge models, and working with business, marketing, and software teams to address key challenges. These challenges include building and improving models for sourcing, relevance, and CTR/CVR estimation, deploying reinforcement learning methods in production etc.In this role, you will be a technical leader in applied science research with substantial scope, impact, and visibility. A successful team lead will be an analytical problem solver who enjoys exploring data, leading problem-solving efforts, guiding the development of new frameworks, and engaging in investigations and algorithm development. You should be capable of effectively interfacing between technical teams and business stakeholders, pushing the boundaries of what is scientifically possible, and maintaining a sharp focus on measurable customer and business impact. Additionally, you will mentor and guide scientists to enhance the team's talent and expand the impact of your work.BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Expert in developing large-scale ML systems in a production environment- Extensive experience applying theoretical models in an applied environment- Demonstrated proficiency in deep learning models, experience building production level causal inference models- Expert in more than one more major programming / scripting languages (Python, Scala, PySpark or similar)- Excellent written and verbal communication skills while addressing both technical and business people; ability to speak at a level appropriate for the audience.- Experience coaching and reviewing work of junior ML Scientists, making great hiring decisions. ...

Work hard, have fun, make history. That's what we do every day at Amazon. Would you like the opportunity to work on industry-leading real estate development projects in the logistics space? As Associate Corporate Counsel, Real Estate, you will partner with Amazon’s Real Estate and Operations teams to buy, lease, entitle, construct, launch and manage Amazon's logistics facilities. Our projects range from multi-million square foot fulfillment centers to smaller delivery stations, in big cities and rural areas and everything in between, each with their own nuances to consider. These are dynamic, complex projects presenting novel legal and business issues requiring high judgment. Key job responsibilities- Day-to-day business and real estate law counseling- Land use advice- Identifying opportunities for and implementing process improvements- Resolving legal issues that arise in existing commercial relationships- Handling pre-litigation legal disputes and inquiriesA day in the lifeEach day will be different in this role. Some days will be focused on managing a high volume of in-flight transactions, while others will be focused on complex strategic projects or new business initiatives. We’re also always look for ways to improve our processes and scale our resources, often involving the use of new technology, such as AI.BASIC QUALIFICATIONS- 3+ years of legal experience- Juris Doctor and membership in one state bar or equivalent- Experience working in real estate law in private practice or in-house at a technology company or equivalent ...

Amazon’s Last Mile Team is looking for a passionate individual with strong optimization and analytical skills to join its Last Mile Science team in the endeavor of designing and improving the most complex planning of delivery network in the world. Last Mile builds global solutions that enable Amazon to attract an elastic supply of drivers, companies, and assets needed to deliver Amazon's and other shippers' volumes at the lowest cost and with the best customer delivery experience. Last Mile Science team owns the core decision models in the space of jurisdiction planning, delivery channel and modes network design, capacity planning for on the road and at delivery stations, routing inputs estimation and optimization. Our research has direct impact on customer experience, driver and station associate experience, Delivery Service Partner (DSP)’s success and the sustainable growth of Amazon. Optimizing the last mile delivery requires deep understanding of transportation, supply chain management, pricing strategies and forecasting. Only through innovative and strategic thinking, we will make the right capital investments in technology, assets and infrastructures that allows for long-term success. Our team members have an opportunity to be on the forefront of supply chain thought leadership by working on some of the most difficult problems in the industry with some of the best product managers, scientists, and software engineers in the industry. Key job responsibilitiesCandidates will be responsible for developing solutions to better manage and optimize delivery capacity in the last mile network. The successful candidate should have solid research experience in one or more technical areas of Operations Research or Machine Learning. These positions will focus on identifying and analyzing opportunities to improve existing algorithms and also on optimizing the system policies across the management of external delivery service providers and internal planning strategies. They require superior logical thinkers who are able to quickly approach large ambiguous problems, turn high-level business requirements into mathematical models, identify the right solution approach, and contribute to the software development for production systems. To support their proposals, candidates should be able to independently mine and analyze data, and be able to use any necessary programming and statistical analysis software to do so. Successful candidates must thrive in fast-paced environments, which encourage collaborative and creative problem solving, be able to measure and estimate risks, constructively critique peer research, and align research focuses with the Amazon's strategic needs. As an applied scientist, you will also help coach/mentor junior scientists in the team.BASIC QUALIFICATIONS- 1+ years of programming in Java, C++, Python or related language experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience building machine learning models or developing algorithms for business application- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Project Kuiper is an initiative to launch a constellation of Low Earth Orbit satellites that will provide low-latency, high-speed broadband connectivity to unserved and underserved communities around the world. This role will design, commission, and support automated controls applications for Project Kuiper satellite production and test. This may include electro-mechanical hardware design and PLC control, SCADA applications, integration of vendor-supplied equipment, and automated scripting applications. This is a highly collaborative position that interfaces with Project Kuiper production, engineering, IT and software teams.Key job responsibilities- Work with Project Kuiper design and manufacturing teams to implement unique industrial automation solutions to support high rate satellite production- Create automated test and manufacturing applications using Ignition SCADA, Siemens TIA Portal, and in-house software tools.- Conduct formal risk assessment and mitigation for safety critical automated systems- Commission and troubleshoot integrated electro-mechanical systems and electrical harnessing as needed for commissioning and support activities- Contribute to the overall architecture for a high-performing, connected, safe and maintainable factoryExport Control Requirement:Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.A day in the lifeThis is a fast-paced, intellectually challenging position. You will work with leaders in multiple technology areas across Project Kuiper to define and develop automation systems to meet the program needs. In addition, you will be responsible for project management, cost estimates and scheduling. You’ll have relentlessly high standards for yourself and everyone you work with, and you’ll be constantly looking for ways to improve your product’s performance, quality and cost. We want individuals who are ready for this challenge and want to reach beyond what is possible today.About the teamThe Ground Support Equipment (GSE) team is responsible for designing and commissioning automation and tooling for Satellite testing and production. This in-house team of engineers and support technicians work directly with satellite designers, testers, and manufacturing engineers to solve unique problems in high-volume satellite production.BASIC QUALIFICATIONS- Knowledge of systems engineering fundamentals (networking, storage, operating systems)- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust- Experience with Linux/Unix- Bachelor's degree- 3+ years experience developing and deploying automated systems to a production manufacturing environment ...