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Unleash Your Potential at the Forefront of AI InnovationAt Amazon, we're on a mission to revolutionize the way the world leverages machine learning. Amazon is seeking graduate student scientists who can turn revolutionary theory into awe-inspiring reality. As an Applied Science Intern focused on Information and Knowledge Management in Machine Learning, you will play a critical role in developing the systems and frameworks that power Amazon's machine learning capabilities. You'll be at the epicenter of this transformation, shaping the systems and frameworks that power our cutting-edge AI capabilities. Imagine a role where you develop intuitive tools and workflows that empower machine learning teams to discover, reuse, and build upon existing models and datasets, accelerating innovation across the company. 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, 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 LanguagesIn 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- Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.- Design, development and evaluation of highly innovative ML models for solving complex business problems.- Research and apply the latest ML techniques and best practices from both academia and industry.- Think about customers and how to improve the customer delivery experience.- Use and analytical techniques to create scalable solutions for business problems. BASIC 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 ...

Amazon Health Services (AHS) is on a mission to make it dramatically easier for customers to find, choose, afford and engage with the services, products, and professionals they need to get and stay healthy. We use design, service and technology to provide the best possible customer experience and change the way people think about healthcare. Our team owns Marketing for all of Amazon Health Services (AHS) along with all of the data that powers our optimization and valuation services. We are excited to help customers engage in a new Health Care paradigm and make truly lasting impact.Our team is responsible for Marketign across Amazon Pharmacy, Amazon Clinic, and OneMedical. We are hiring BIE that will help develop the foundations of the Amazon Health Services Marketing analytics including customer valuation, attribution, and tools to help optimize our channels. The BIE will be responsible for creating tools and analytic insights to both better understand our customer’s behavior across AHS and improve our decision making tools in Product and Marketing. The AHS business is growing rapidly, and our customers needs are ever-evolving. You will be at the center of all that we do for our customers within AHS and have an impact on our customers' experience. You will be able to point to experiences within AHS that you directly contributed to make happen.We need an expert at deep data diving statistical analysis of designed experiments, and structured problem solving to understand and evaluate the opportunities to grow the business. Her/his analysis and solutions will guide our program optimization,financial planning, and execution strategy. This position has high levels of exposure to senior members of AHS.The successful candidate will be an expert with analytical design, SQL, ETL, dashboarding and data storage extraction tools and optimization. The candidate will need to effectively communicate the designs, hypotheses, analytical and test results, insights, and suggested action items.#everydaybetterKey job responsibilities• Work with the various stakeholders across the AHS organization to understand business drivers, goals and actionable outcomes of large scale customer experiences. • Construct and execute robust analyses that lead to actionable insights for Product and Marketing leaders to act upon. Work independently to identify objectives and problem solve alternative ways to efficiently execute.• Design, execute, and manage the profiles to execute the analyses with the latest data management and statistical tools and languages (e.g. SQL, ETL, Quicksight, AWS Redshift, Redshift Spectrum, S3, Python, R)• Design, implement, and support tools that can provide structured access to large datasets across the entire AHS organization and beyond. • Employ data mining, segmentation, and other analytical techniques to capture important trends in the customer base. • Model data and metadata to provide product and marketing insights • Effectively communicate the inisights and suggested action items to senior leadership • Participate in strategic and tactical planning discussions interface with business customers, gathering requirements and delivering complete reporting solutions • Develop interactive dashboards, reports, and analysis templates using AWS and open source tools.About the teamAHS Performance Marketing owns driving new customers to all Amazon Health businesses including OneMedical, Amazon Clinic, and Amazon Pharmacy. We look to automate optimization for each channel and are constantly looking for scale. We are heavily data driven and Customer Obsessed and are excited to partner with Data Engineering and Marketing leaders to unlock customer behavioral signals to best serve our customers. We are a team that does not take ourselves too seriously, other than the work to help customers. We hold a high bar for our experiences and strategies. Please reach out if you'd like to learn more. BASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

Amazon is a pioneering, dynamic, and energetic 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 and vibrant 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- 5+ years of finance or a related analytical field experience- Bachelor's degree in accounting or related field ...

The WW Selling Partner Services team's vision is to enable every brand – from the small business with an idea to the large, multi-national corporation – to be able to thrive and grow into a global selling success. Our mission (i.e., our roadmap to achieve that vision) is to enable the long-term success of our selling partners by providing the most trusted shopping and selling experience and by providing impactful solutions for accelerating our selling partners’ business growth. We are entrusted with preventing fraud and abuse, and we are guardians for all our customers. We are advocates and innovators who delight buying customers by enabling our selling partners to succeed. We deliver at massive scale through technology, science, and expert human judgment while continuing to think even bigger about the future. We do all of this while creating a team culture that we are proud of – one that builds fulfilling careers, is inclusive and gives back the community, and is fun to be a part of.The WW Selling Partner Service Central FP&A team has an immediate opening for a Business Analyst to support in driving insights into the biggest slice of the Amazon Stores business. The ideal candidate thrives in a fast-paced, global environment and has a passion for delivering best-in-class solutions. This role will work closely with technical and business teams, along with other various stakeholders. This role will support highly impactful, cross functional projects that have high visibility with leadership in the Finance organization.We are looking for a person who loves solving complex problems to drive analysis and insights to help our teams make meaningful business decisions. The person should have a detailed understanding of a business requirement or the ability to quickly get to the root cause of a particular business issue, and draft solutions to meet requirements or resolve the problems. You will analyze massive data sets, identify areas to improve, define metrics to measure and monitor programs, and work with different stakeholders to drive improvements over time. You will extract or mine information from our existing systems to create new analysis, and expose data from our group to wider teams in intuitive ways.Key job responsibilities• Transform data into actionable business information, and make it readily accessible to stakeholders• Use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format• Identify root causes, trends, and patterns and how they impact business• Perform data analytics working with large data sets using various tools and technologies • Partner with engineering teams to define the data elements and data structures that the team should audit for seller’s metrics• Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions• Engage with leadership and diversified groups to understand the needs and recommend business intelligence solutions. Work with business intelligence engineers, data engineering, software development teams to enable the appropriate capture and storage of key data points• Make recommendations for new metrics, techniques, and strategies to improve finance, operational and quality metrics• Participate in strategic & financial planning discussions• Standardize data and report consumption across all customer groupsAbout the teamThe Central FP&A team for SPS acts as the hub for financial reporting and driving insights for leaders. We act as the go to source for centralized reporting, work between various regional team across the globe, and partner with the most senior leaders in the SPS and broader stores Org. We are always seeking to ask ourselves how to get better everyday and are open to all ideas in our drive to become best in class.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience- 3+ years of business or financial analysis experience- Experience defining requirements and using data and metrics to draw business insights- Experience making business recommendations and influencing stakeholders- Experience with SQL- Bachelor's degree in computer science, engineering, mathematics or equivalent ...

Amazon is looking for a highly analytical Engineer to join the CA Supply Chain Team. The Canada Supply Chain team is responsible for the long-term capacity and network architecture planning, as well as the short-term supply chain execution between Amazon’s sellers/vendors, fulfillment centers and downstream partners. This role will support planning, execution, optimization and continuous improvement in the supply chain consisting of hybrid Fulfillment Centers and dedicated cross dock buildings in future. The ability to diagnose problems and to conceive-build-implement solutions will be key to success.As a Business Intelligence Engineer, you will generate insights that will guide operational excellence and strategy for our customers. analysis is at the core Amazon’s culture, and your work will have a direct impact on decision-making and strategy for our organization. You will be gathering operational insights, run statistical analysis, mining making recommendations, and helping senior leaders make key decisions. You will have the opportunity to work with large and diverse data sets to gather insights from across, using AWS Infrastructure.The ideal candidates will have excellent analytical and statistical abilities, acumen and judgment, intense curiosity, strong technical skills, and written and verbal communication skills. They will have a strong bias toward driven decision-making. They will be a self-starter, comfortable with ambiguity, able to think and be creative (while paying careful attention to detail). They will enjoy working in a fast-paced dynamic environment. If you are excited about it, are results oriented, and want to join a growing analytics team within Amazon, this role is for you.Are you up for the challenge?Key job responsibilities- Design, develop and maintain scaled, automated, user-friendly systems, statistical analysis and prediction, reports, dashboards, etc. that will support the needs of the .- Apply deep analytic and skills to extract meaningful insights and learning from large and complicated sets using the appropriate statistical forecasting model and Machine Learning models.- Be hands-on with ETL to build pipeline to support automated reporting.- Serve as liaison between the planning and technical teams to achieve the goal of providing actionable insights into current performance, ad hoc investigations to support future innovations and continuous improvements. This will require gathering and manipulation, problem solving, and communication of insights and recommendations.- Build various rich visualizations to tell the story of trends, patterns, and outliers.- Recognize and adopt best practices in reporting and analysis: integrity, test design, analysis, validation, and documentation.BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience in Statistical Analysis packages such as R, SAS and Matlab- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling ...

At Amazon's Selection Monitoring team, we leverage advanced AI technologies, including the latest Large Language Models (LLMs) and Generative AI (GenAI), to enrich and expand Amazon's product selection in alignment with consumers’ interests. Our mission is to establish the world's most comprehensive, accurate, and up-to-date universal product catalog, setting new standards in product discovery and coverage.We're seeking innovative Applied Scientists passionate about leveraging advanced AI to tackle complex challenges in product intelligence, data integration, and knowledge discovery. In this role, you'll collaborate with teams across Amazon to drive customer-focused solutions and amplify the impact of your work on our global customer base.Key job responsibilities- Design and implement advanced AI models using the latest LLM and GenAI technologies to enhance product understanding, matching, and categorization at an unprecedented scale.- Develop novel approaches to extract, generate, and validate product attributes and relationships using multimodal AI, combining text, image, and structured data analysis.- Create intelligent systems that can automatically generate high-quality product descriptions, features, and specifications using GenAI techniques.- Implement advanced natural language processing and computer vision models to extract insights from diverse data sources, including web content, user-generated data, and product imagery.- Develop innovative solutions for entity resolution, knowledge graph construction, and semantic reasoning to build a comprehensive understanding of the global product landscape.- Collaborate with cross-functional teams to integrate AI-driven insights into Amazon's product selection strategies and decision-making processes.- Lead the design and implementation of scalable, production-ready AI systems that can process billions of products efficiently on Amazon Web Services (AWS).- Stay at the advance of AI research, continuously exploring and implementing new techniques in LLMs, GenAI, and multimodal learning to drive innovation in product intelligence.- Contribute to the scientific community through publications, presentations, and collaborations with academic institutions.BASIC QUALIFICATIONS- 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 ...

At AWS, we're working to be the most customer centric company on earth. To get there, we need exceptionally talented, smart, and driven individual. The Data Center Availability team works with the hundreds of AWS data centers around the globe to deliver the highest quality and lowest cost physical security, availability, capacity, and scaling results for our customers. Our aim is to standardize operations globally by delivering tools, policy, processes and procedures to our internal teams. The team is seeking a Technical Program Manger to solve innovative problems via business process and technology innovations. They will be a highly visible leader that will own the communication, coordination, and execution of a multi-year program vision. Our mission is to provide critical data to operators and engineers that enables them to make informed decisions for maintenance of data center facilities. Our team of TPMs work with senior product and engineering leaders to define strategy and requirements. They design, coordinate, and execute technical solutions that scale globally. Managing numerous complex systems and organizations, they are expected to make appropriate trade-offs between business vs. technical constraints, clearly communicate goals, roles, and responsibilities. They also identify opportunities to converge overlapping technical efforts, and drive the long term strategy.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.Key job responsibilitiesThe successful candidate is able to:- Manage Operational relationships with support teams and internal operations business partners to drive increased performance - Demonstrated analytical and quantitative skills and ability to use hard data and metrics to back up assumptions and develop business cases - Effectively interact and collaborate with Customers, Project Sponsors, Technical Product Managers and multiple internal teams to define and deliver complex solutions - Proactively recognize and drive opportunities to simplify processes - Contribute to and influence technical designs - Drive effective teamwork, communication, collaboration and commitment across multiple disparate groups with competing priorities - Lead the effective and efficient delivery of large, complex technical projects and programs - Anticipate bottlenecks, provide escalation management, anticipate and make tradeoffs, and balance business needs with technical constraints - Identify, assess, track and mitigate issues and risks at multiple levels - Create, maintain and disseminate program information to stakeholders - Travel up to 25%About the teamDiverse ExperiencesAWS 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 CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’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 BalanceWe 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 cloudBASIC QUALIFICATIONS- 3+ years of technical product or program management experience- 3+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience- Experience managing programs across cross functional teams, building processes and coordinating release schedules ...

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 customers who require specialized security solutions for their cloud services.About AWSAmazon 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.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life BalanceWe 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 CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’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. Amazon is looking for a highly respected Business Intelligence Engineer to join the AWS Product BI team. This is your opportunity to be a core part of the team that has direct impact on the day-to-day decision making in the many AWS Product teams like EC2, S3 and IoT.Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS is a high-growth, fast-moving division within Amazon with a start-up mentality where new and diverse challenges arise every day. On the AWS Product BI team you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class BI is critical to our success. To help build this growing team, you must be highly analytical and possess a strong passion for analytics and accountability, set high standards with a focus on superior business success. We take working hard, having fun, and making history seriously. AWS sets the standard for functionality, cost, and performance for many cloud based services, but it’s still early days for cloud computing, and there are boundless opportunities to continue to redefine the world of cloud computing - come help us make history! As a BI engineer on this team, you will be responsible for generating new insights to help guide the strategic direction of our products and businesses. You will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will work closely with the business and technical teams in analysis on many non-standard and unique business problems and use creative-problem solving to deliver actionable output. Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and an ability to work effectively with cross-functional teams.Key job responsibilities - Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs. - Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions. - Conduct ad hoc data analysis and data quality investigations. - Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools. - Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data. - Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards. About the team Inclusive Team Culture Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life Balance Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. This position involves on-call responsibilities, typically for one week every two months. We don’t like getting paged in the middle of the night or on the weekend, so we work to ensure that our systems are fault tolerant. When we do get paged, we work together to resolve the root cause so that we don’t get paged for the same issue twice. Mentorship & Career Growth Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS- - Bachelor's Degree in Computer Science or a related technical field, and solid years of relevant experience.- - 5+ years of experience with and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures.- - 5+ years of experience with relational and star schema data modelling concepts with a solid knowledge of SQL and PL/SQL.- - 2+ years of large IT project delivery for BI oriented projects.- - 2+ years of working with very large data warehousing environment ...

Are you driven by the excitement of unraveling intricate data puzzles? Does your DNA resonate with collaborative problem-solving? Do you thrive on witnessing the ripple effects of your contributions in the larger scheme of things? If you've nodded along to any of these questions, welcome to Clarity team! We're not just a team; we're a dynamic cohort of engineers dedicated to leveraging cutting-edge innovations for Amazon's PXT Business Analytics tools and software. Together, we confront tangible challenges head-on, poised to revolutionize customer experiences in unforeseen ways. Every day, we embark on a journey of invention, pioneering fresh solutions that shape tomorrow's landscape.Our mission is clear: to harness the power of people data and empower PXT and people leaders to make decisions that steer Amazon towards its goal of becoming Earth’s Best Employer. We specialize in building features that streamline data gathering and analysis for PXT users, freeing up more time for action and removing barriers for Amazonians.We are currently seeking a talented and motivated Business Intelligence Engineer to lead the design, development, and testing of data pipelines and a centralized data store for people metrics data. Within the PI data services team, you will champion frameworks that empower our internal customers to seamlessly create data pipelines and ETL workflows. The ideal candidate possesses a robust understanding of data modeling concepts, complemented by a foundational grasp of Data Viz. Continual acquisition of expertise, iterative approaches, and adaptability are key facets of this role. We seek individuals deeply committed to pragmatic problem-solving and unafraid to pioneer new territories. Your ability to craft extendable designs and maintainable technical solutions while keeping long-term visions in focus will be paramount. If you can dream it and justify it, we're ready to explore it together. Join Clarity, where we equip you with the tools and encouragement to co-create in an environment that's not just rewarding and fulfilling, but also incredibly fun.Key job responsibilities- Design and build business critical, highly available data pipelines in a stable, low cost model.- Conduct deep dive analyses of business problem statements and formulate conclusions and recommendations to leadership.- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.- Monitor metrics, analyze data and partner with internal teams to identify process, system improvement opportunities and come up with BI solutions.- Internalize our customer challenges and derive creative solutions which apply new and innovative technology.- Work directly with customers to integrate new data types, equipment, and incorporate feedback.- Partner with Data Engineering to enhance data infrastructure, data availability, and broad access to customer insights- Apply best practices including coding standards, code reviews, source control management, agile development, build processes, and testing.- Actively support and foster a culture of inclusion.A day in the lifeSuccessful candidate would have extensive experience working with big data, building data warehouses and data processing services. They are effective at seeing data patterns and building generic data solutions to improve user experience.About the teamOur mission is to harness the power of people data to empower PXT and people leaders to make decisions that help Amazon become the Earth’s Best Employer.BASIC QUALIFICATIONS- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience with data modeling, warehousing and building ETL pipelines- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business- Experience in Statistical Analysis packages such as R, SAS and Matlab ...

The newest business group in AWS, AWS Solutions are built by AWS and AWS Partners to address specific industry, cross-industry, and technology use cases.Our customers are evolving from builders to both builders and buyers.As the AWS customer base expands, we increasingly need to serve customers who prefer to “buy” Solutions in addition to those who prefer to “build.” Given the depth and breadth of offerings (200+ AWS services and features, and thousands of APN offerings), and various ways they can be put together, increasingly customers need prescriptive guidance and automation to reduce the number of decisions they need to make and minimize last-mile development to adopt AWS.As a BI engineer on this team, you will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. You will work closely with product and business leaders and executives to continuously evolve the analytical portfolio and help the businesses make product strategy decisions. Key job responsibilities• Work with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.• Design and implement reporting solutions enabling stakeholders to manage the business and make effective decisions.• Conduct ad hoc data analysis and data quality investigations.• Implement training and documentation solutions that enable business stakeholders to get the most out of our self-serve reporting tools.• Develop and support the analytical technologies that give our customers timely, flexible and structured access to their data.• Design and implement an analytical environment using third-party and in-house reporting tools, modeling metadata, building reports and dashboards.About the teamUtility 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 customers who require specialized security solutions for their cloud services.Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.About AWSAmazon 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 CultureHere 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 BalanceWe 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 & Career GrowthWe’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- Bachelor's Degree in Information System, Computer Science, or a related technical field.- 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL etc.- 2+ years of experience with data visualization using Tableau, Quicksight, or similar tools- 2+ years of experience with data modeling, warehousing and building ETL pipelines ...

AWS Industry Products (IP) is a new AWS engineering organization chartered to build new AWS products by applying Amazon’s innovation mechanisms along with AWS digital technologies to transform the world, industry by industry. We dive deep with leaders and innovators to solve the problems which block their industries, enabling them to capitalize on new digital business models. Simply put, our goal is to use the skill and scale of AWS to make the benefits of a connected world achievable for all businesses. We are looking for an Applied Scientist who are passionate about transforming industries through AI. This is a unique opportunity to not only listen to industry customers but also to develop AI and generative AI expertise in multiple core industries. You will join a team of scientists, product managers and software engineers that builds AI solutions in automotive, manufacturing, healthcare, sustainability/clean energy, and supply chain/operations domains. Leveraging and advancing generative AI technology will be a big part of your charter as we seek to apply the latest advancements in generative AI to industry-specific problems.Key job responsibilitiesUsing your in-depth expertise in machine learning and generative AI, you will deliver reusable science components and services that differentiate our industry products and solve customer problems. You will be the voice of scientific rigor, delivery, and innovation as you work with our segment teams on AI-driven product differentiators. You will conduct and advance research in AI and generative AI within and outside Amazon.About the teamDiverse ExperiencesAWS 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 CultureAWS 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 GrowthWe’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 BalanceWe 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. 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 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 ...

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 ...

Conversational AI ModEling and Learning (CAMEL) team is part of Amazon Devices organization where our mission is to build a best-in-class Conversational AI that is intuitive, intelligent, and responsive, by developing superior Large Language Models (LLM) solutions and services which increase the capabilities built into the model and which enable utilizing thousands of APIs and external knowledge sources to provide the best experience for each request across millions of customers and endpoints. We are looking for a passionate, talented, and resourceful Applied Scientist in the field of LLM, Artificial Intelligence (AI), Natural Language Processing (NLP), Recommender Systems and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware conversational AI. A successful candidate will have strong machine learning background and a desire to push the envelope in one or more of the above areas. The ideal candidate would also have hands-on experiences in building Generative AI solutions with LLMs, enjoy operating in dynamic environments, be self-motivated to take on challenging problems to deliver big customer impact, moving fast to ship solutions and then iterating on user feedback and interactions.Key job responsibilitiesAs an Applied Scientist, you will leverage your technical expertise and experience to collaborate with other talented applied scientists and engineers to research and develop novel algorithms and modeling techniques to reduce friction and enable natural and contextual conversations. 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 Prompt Engineering and Optimization, Supervised Fine-Tuning, Learning from Human Feedback, Evaluation, Self-Learning, etc. Your work will directly impact our customers in the form of novel products and services.BASIC QUALIFICATIONS- PhD, or Master's degree and 2+ years of building machine learning models for business application experience- PhD, or a Master's degree and experience in CS, CE, ML or related field research- Experience programming in Java, C++, Python or related language- 3+ years’ experience with modeling languages and tools like PyTorch / TensorFlow, R, scikit-learn, numpy, scipy, etc- Solid ML background and familiar with standard NLU, NLG, and LLM techniques ...

We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth. How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.We are looking for smart scientists capable of using a variety of domain expertise to invent, design, evangelize, and implement state-of-the-art solutions for never-before-solved problems in the space of Automated Reasoning and Artificial Intelligence. A successful candidate will be a self-starter comfortable with ambiguity, strong attention to detail, and the ability to work in a fast-paced, ever-changing environment. As an Applied Scientist, you will own the design and development of end-to-end systems. You’ll have the opportunity to write technical white papers, create technical roadmaps, and drive production level projects that will support Amazon Science. You will work closely with other Amazon scientists and engineers. The ideal scientist must have the ability to work with diverse groups of people and cross-functional teams to solve sometimes ambiguous and complex business problems.Amazon Science gives 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 scientist use our working backwards method to enrich the way we live and work.Key job responsibilities* Develop systems that can be used for automated software analysis and artificial intelligence* Develop core tools and algorithms that can be reused * Help lead the development of new ideas and mentor individualsAbout the teamAWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’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 BalanceWe 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. Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.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 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 ...

The LPE – Technical Solutions team, supporting the Rapid and Rural Logistics (R2L) org, is seeking a truly innovative Business Intelligence Engineer with broad technical skills to help build the infrastructure and tools required to support a new, fast growing business.The ideal candidate will have a passion for automation and clean, streamlined process design. The applicant will draw upon advanced analytical, critical thinking, problem solving skills, software development experience, and an aptitude for creating maintainable, highly reliable, distributed systems which operate 24/7/365. You will work with analytic tools, write excellent scripts, partner with customers to answer key business questions, and act as an advocate for your customers. Successful members of this team collaborate effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems, implement new solutions, and deliver successfully against high operational standards of system availability and reliability. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.The complexity of research and skills for a Business Intelligence Engineer is well beyond basic data entry and extraction. It involves design and development of automated data pipelines, sophisticated analytical model and intuitive data visualization. In addition, this role is on a large analytical team that supports a wide range of businesses. This role has great exposure to a broad scope that can really help shape the future of operational fulfillment and promotes career progression.Key job responsibilities• Perform data extraction, manipulation, and production from database tables• Own the design, development, and maintenance of reports, analyses, dashboards, etc. to drive key business decisions• Create automated tools via VBA and connection to streamline process execution• Create data flows and develop/manage new metrics• Design, implement and validate complex logic using queriesBASIC QUALIFICATIONS- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- Experience with data visualization using Tableau, Quicksight, or similar tools- Experience with data modeling, warehousing and building ETL pipelines- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling- Experience in Statistical Analysis packages such as R, SAS and Matlab ...

Amazon has a history and tradition of leading the world in web-related technologies and services. One of those products is Amazon Web Services (AWS). Since early 2006, AWS has provided companies of all sizes with an infrastructure platform in the cloud. AWS needs individuals that bring the accounting experience AND the entrepreneurial aptitude to accelerate decision making and management of the business and accounting. Also needed is the intellectual capacity to produce innovative ideas/analysis and the willingness to do the heavy lifting to implement those decisions.On the AWS Infrastructure Accounting – Supply Chain, you will be surrounded by people that are exceptionally talented, bright, and driven, and believe that world class support is critical to customer success. To support this quickly growing business, you must be highly analytical and possess a strong passion for analytics and accountability, setting high standards, and razor-sharp accuracy. We take working hard, having fun, and making history seriously – you should too!When working on AWS Infrastructure Accounting – Supply Chain, 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. You will contribute to optimize AWS’s supply chain, capturing operational benefits in terms of continuity of supply and cost efficiency. One of main responsibilities for the role will be an accounting owner of ERP implementation and integration for supply chain process. Key job responsibilities• Accounting owner of ERP implementation and integration for supply chain process.• Own accounting requirements for ERP implementation and integration.• End-to-end process ownership to support finance, business, tax, trade and compliance, transfer pricing and IT partners throughout the ERP implementation and integration project.• Understand internal control design concepts sufficient to assess the effectiveness of controls and to design new processes and controls.• 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.• Enhance partnerships between Accounting and various business and IT groups.• Research, conclude and memorialize technical accounting position papers.• Supporting various aspects of our accounting and reporting process.BASIC QUALIFICATIONS- 5+ years of multiple finance and accounting roles experience- Bachelor's degree in accounting or related field- Experience in ERP implementation and integration, SAP preferred ...

Shape the Future of Human-Machine InteractionAre you a master of natural language processing, eager to push the boundaries of conversational AI? Amazon is seeking exceptional graduate students to join our cutting-edge research team, where they will have the opportunity to explore and push the boundaries of natural language processing (NLP), natural language understanding (NLU), and speech recognition technologies. Imagine waking up each morning, fueled by the excitement of tackling complex research problems that have the potential to reshape the world. You'll dive into production-scale data, exploring innovative approaches to natural language understanding, large language models, reinforcement learning with human feedback, conversational AI, and multimodal learning. Your days will be filled with brainstorming sessions, coding sprints, and lively discussions with brilliant minds from diverse backgrounds.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 Natural Language Processing & Speech Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA. Key job responsibilitiesWe are particularly interested in candidates with expertise in: NLP/NLU, LLMs, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning.In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Natural Language Processing and Speech Technologies. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on natural language processing, speech recognition, text-to-speech (TTS), text recognition, question answering, NLP models (e.g., LSTM, transformer-based models), signal processing, information extraction, conversational modeling, audio processing, speaker detection, large language models, multilingual modeling, and more.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- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in natural language processing, speech recognition, text-to-speech, question answering, and conversational modeling.- Tackle groundbreaking research problems on production-scale data, leveraging techniques such as LSTM, transformer-based models, signal processing, information extraction, audio processing, speaker detection, large language models, and multilingual modeling.- Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in NLP/NLU, LLMs, reinforcement learning, human feedback/HITL, deep learning, speech recognition, conversational AI, natural language modeling, and multimodal learning.- Thrive in a fast-paced, ever-changing environment, embracing ambiguity and demonstrating strong attention to detail.BASIC 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: Natural Language Processing/Understanding, Large Language Models, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning ...

Have you ever thought about what it takes to detect and prevent fraudulent activity among hundreds of millions of e-commerce transactions across the globe? What would you do to increase trust in an online marketplace where millions of buyers and sellers transact? How would you build systems that evolve over time to proactively identify and neutralize new and emerging fraud threats?Our mission in Buyer Risk Prevention is to make Amazon the safest place to transact online. Buyer Risk Prevention safeguards every financial transaction across all Amazon sites, while striving to ensure that these efforts are transparent to our legitimate customers. As such, Buyer Risk Prevention designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com.As a Business Analyst in Buyer Risk Prevention, you will be responsible for analyzing terabytes of data to identify specific instances of risk, broader risk trends and points of customer friction, developing scalable solutions for prevention. You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner. In addition you will be responsible for building a robust set of operational and business metrics and will utilize metrics to determine improvement opportunities.You should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.Responsibilities: - Understand the various operations across Payment Risk - Design and develop highly available dashboards and metrics using SQL and Excel/Tableau - Perform business analysis and data queries using scripting languages like R, Python etc - Understand the requirements of stakeholders and map them with the data sources/data warehouse - Own the delivery and backup of periodic metrics, dashboards to the leadership team - Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies - Execute high priority (i.e. cross functional, high impact) projects to create robust, scalable analytics solutions and frameworks with the help of Analytics/BIE managers - Perform business analysis and data queries using appropriate tools - Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area- Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)- Draw inferences and insights from the data using EDA and data manipulations using advanced SQL for business reviewsKey job responsibilities• Understand the various operations across Payment Risk• Design and develop highly available dashboards and metrics using SQL and Excel/Tableau/QuickSight• Understand the requirements of stakeholders and map them with the data sources/data warehouse• Own the delivery and backup of periodic metrics, dashboards to the leadership team• Draw inferences and conclusions, and create dashboards and visualizations of processed data, identify trends, anomalies• Execute high priority (i.e. cross functional, high impact) projects to improve operations performance with the help of Analytics managers• Perform business analysis and data queries using appropriate tools• Work closely with internal stakeholders such as business teams, engineering teams, and partner teams and align them with respect to your focus area• Execute analytical projects and understanding of analytical methods (like ANOVA, Distribution theory, regression, forecasting, Machine Learning Techniques, etc.)BASIC QUALIFICATIONS- Bachelor's degree in business, engineering, statistics, computer science, mathematics or related field- 1+ years of tax, finance or a related analytical field experience- Experience creating complex SQL queries joining multiple datasets, ETL DW concepts- Experience defining requirements and using data and metrics to draw business insights- Experience demonstrating problem solving and root cause analysis- Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages- Experience in a BI role with a technology company or financial institution- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.- Experience using databases with a large-scale data set- 1+ year of experience working in Analytics / Business Intelligence environment with prior experience of design and execution of analytical projects ...

Do you want to help drive growth and engagement with one of Amazon’s most important businesses? Do you enjoy using data and analytics to deliver actionable insights that support critical business decisions?Amazon seeks an experienced business analyst to be a key member of the Sales Strategy and Operations team. This is an exciting opportunity to support and influence the strategy of Amazon retail, with a focus on delivering data and insights on business performance.As a Business Analyst, you will partner with Sales, marketing, finance, and analytical professionals to provide data and insights that influence and support critical business decisions. The successful candidate will have shown experience in past roles influencing business owners and supporting decision making in rapidly evolving environments. This role requires a self-starter with strong modeling skills, a keen attention to detail, and an ability to manage multiple projects across several stakeholders effectively. This role also has regular interaction with various businesses and requires strong interpersonal and communication skills.Key job responsibilities- Serve as the key business performance partner working directly with Sales, marketing, finance, and other stakeholders across US teams- Develop, launch, and optimize business performance mechanisms- Deliver data, analysis, insights, and recommendations to help shape Sales and marketing strategies- Lead business performance analysis and reporting, including preparation of weekly, monthly, and quarterly business reviews- Partner with Business, Sales , Marketing, and Finance leaders to provide data-driven insights and recommendations that influence business decisionsA day in the life- Working closely with Sales, finance leaders on analytical projects- Writing SQL queries and creating business intelligence reports.- Defining requirements and using data and metrics to draw business insights- Excel- SQL/PL SQL- QuickSight- ETLAbout the teamSales Strategy & Operations (SSO) team enables Account Reps (ARs) to be more productive, and recruitment processes to be more efficient and effective, while maximizing seller success and experience. SSO will enable the headline “sellers choose to invest more in Amazon because of the growth we enable through our Account Reps.” To deliver on this vision and effectively serve our customers (Account Reps and sellers).BASIC QUALIFICATIONS- 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 ...

Amazon internships are full-time positions, and interns should expect to work Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work-day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.By applying to this position, your application will be considered for all Business Intelligence Engineer roles at all locations we hire for in the United States including but not limited to: Greater Seattle Area (Seattle, Bellevue, Redmond), Greater Bay Area (San Francisco, Sunnyvale, Santa Clara), Greater DMV (DC, MD, VA), Austin (TX), New York City (NY), Minneapolis (MN).You will be able to provide your preference of location and start date during the application process but, we cannot guarantee that we can meet your selection based on several factors including but not limited to the availability and business needs of this role. Finalization on the location and start dates available will be provided to you at the time of job offer.Start dates for our internships in this posting include the following period:1. Summer (Starts May/June 2025)Please review the following page for information on Amazon University Talent's recruiting timeline and additional FAQs: https://techengamazon.splashthat.com/. Key job responsibilitiesAs a Business Intelligence Engineer intern, you will/may:• Build small- to mid-size business intelligence (BI) solutions – data sets, queries, reports, dashboards, analyses – or components of larger solutions to answer business questions with data• Use well-defined requirements to build a solution that enables effective, data-driven business decisions. Deliver end product on schedule• Create and populate data structures using one or more schema definition languages (e.g. DDL, SDL, XSD, RDF)• Write secure, stable, testable, and maintainable code with minimal defects, and automate manual processes where possible• Use one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and, as needed, statistical methods (e.g. t-test, Chi-squared) to deliver actionable insights to stakeholders• Invent, refine, and develop BI solutions to ensure they meet the needs of the business and team goals• Troubleshoot data, analyses, and code, research root causes, propose solutions, and take ownership in next steps for their resolutionsA day in the lifeDo you enjoy translating data into actionable insights? Are you excited by the opportunity to troubleshoot features and products at the world's most customer-centric company? Are you passionate about mining data, developing models, using statistical and visualization techniques, and helping leaders make data-driven decisions? Do you want to be a part of a fast-paced, ambiguous environment and contribute to one of the most visited sites on the Internet?If this describes you, consider joining us as an intern as Amazon is looking for Business Intelligence Engineer interns to join one of our many lines of business. Amazon interns have the opportunity to work alongside the industry’s brightest engineers who innovate every day on behalf of our customers. You will be matched to a manager and a mentor. You will have the opportunity to impact the evolution of Amazon technology as well as lead mission-critical projects early in your career. Your work will contribute to solving some of the most complex technical challenges in the company.In addition to working on an impactful project, you will have the opportunity to engage with Amazonians for both personal and professional development, expand your network, and participate in fun activities with other interns throughout the summer. No matter the location of your internship, we give you the tools to own your internship and learn in a real-world setting.We’re on the lookout for the curious, those who think big and want to define the world of tomorrow. At Amazon, you will grow into the high impact, visionary person you know you’re ready to be. Every day will be filled with exciting new challenges, developing new skills, and achieving personal growth.How often can you say that your work changes the world? At Amazon, you’ll say it often. Join us and define tomorrow.BASIC QUALIFICATIONS- Experience with data querying or modeling with SQL- Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)- 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)- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Currently working towards a Bachelor’s Degree in statistics, computer science, computer engineering, information management/systems, business analytics or other equivalent technical discipline with a conferral date between October 2025 – December 2028. ...