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Please note the following eligibility requirements to apply for this role:• Graduate from bachelor's degree program between 12/2024 and 6/2025, or graduated from bachelor’s degree program within past 24 months.• Ability to relocate nationwide. Relocation assistance provided, if eligible.• Ability to begin 40-hour/week, full-time employment in Fall 2025.• We are unable to offer visa sponsorship for this role.At Amazon, we are excited to offer undergraduate students the opportunity to launch into big careers with limitless possibilities. We look forward to meeting you and your classmates this year. As we get to know you more, we invite you to get to know us better. Visit www.amazon.com/about to: • Learn more about our businesses by reviewing Press Releases on our Investor Relations site, Letter to Shareholders, and the first letter shared in 1997, which is included in our annual report each year. • Learn more about Amazonians and follow us on Facebook, Twitter and LinkedIn. • Learn more about our commitment to our communities, diversity and military veterans. • Learn more about our headquarters in Seattle as well as where we operate around the world.As you launch your career as a Risk Specialist at Amazon, you will focus on improving the success of the organization by diving deep into core areas of the company, partnering with Amazon’s cutting-edge businesses to identify areas of risk, analyze data, and solve real world problems. Risk Specialists add value and help protect Amazon in all areas of the business.A key component of this role is to dive deep to understand complex business processes and identify risks related to processes, regulatory compliance, organization, policy and technology. You will participate in planning, scoping, execution and reporting of assessments based on identified risks. Through your work you will help develop meaningful findings that help in communicating the risk to the business. In this capacity, you will gain valuable exposure to many organizations, processes, and systems within our global business.BASIC QUALIFICATIONS• Currently enrolled in a bachelor’s degree program in business, economics, operations, accounting, finance, pre-law, mathematics, or relevant field with a graduation conferral date between December 2024 and June 2025, or graduated from a bachelor’s degree program in the past 24 months.• Are 18 years of age or older. • Experience with Microsoft Excel ...

The Brand Experience and Excellence organization creates, builds and leads innovation for brand owners in the Amazon store worldwide. The Customer Acquisition and Loyalty team in this organization focuses on helping Brands engage Customers on and off Amazon, develop a winning strategy for Brands to leverage social media to build stronger brands, and launch great products that resonate with Customers and achieve success.We are looking for a passionate, results-oriented Business Analyst to own defining, building, and scaling metrics and analytical insights. As a business analyst, you will use your analytical mind to drive operations, strategy, and planning. You will ensure that we are capturing and surfacing the right data and information to make informed business decisions, working closely with cross functional members of the team and partner teams. You’ll collaborate with engineers to build self-service reports and establish automated processes for large scale data analyses. You should be analytical with strong business acumen and detail-oriented with proven problem-solving skills.The ideal candidate has worked in depth in identifying business insights through data analysis, including experience extracting and manipulating data using SQL, leveraging BI services such as QuickSight for data analysis, and producing digestible business intelligence and actionable information. The candidate should also have strong communication and project management skills, enabling them to work with key business stakeholders to understand requirements and shape analytical deliverables. He/she should also have a demonstrated ability to think strategically and analytically about business, product, and technical challenges, with the ability to work cross-organizationally.Key job responsibilities• Advanced proficiency in SQL, ETL, data modeling, and working with large data sets.• Establish financial reporting for your business area. Understand input drivers and validate integrity of the reporting to influence strategic decision-making and planning.• Use data to identify disruptive ideas and provide advice to WW business leaders .• Build and drive planning, forecasting, and reporting models.• Use active listening skills intuitively to communicate data (both written and verbal) in a clear, concise, and unambiguous manner. Adjust style for various audiences to articulate complex finance issues clearly. Your communications drive critical business decisions.• Drive use of analytical and operational excellence best practices.BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- Bachelor's degree- 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 ...

Are you an experienced Big Data Engineer passionate about building scalable and enterprise-level data engineering solutions? This opportunity is a great fit for an experienced Big Data Engineer who enjoys working on large-scale computing and transforming large datasets leveraging AWS distributed systems. In addition to technical expertise, you will invest time to understand the needs of the business, the data behind it, and how to transform information into technical solutions that allow Amazon's Finance leadership to take action.Key job responsibilities- Collaborate with finance and business stakeholders to understand requirements and translate them into technical specifications.- Design and develop scalable big data pipelines to ingest, transform, and publish large volumes of data efficiently.- Troubleshoot system and data quality issues- Identify bottlenecks with current architecture and propose efficient and long term solutions- Provide operational support by participating in team's on call rotations- Contribute to system documentation and on call runbooks- Mentor junior engineers and drive the successful implementation of projects.A day in the lifeAs a data engineering team that supports the central finance team within Amazon, our primary customer will always be our CFO. Hence a day to day activity of a Sr. big data engineer within this team will mostly revolve around solving data engineering problems for transforming our ever growing financial data. You work with other financial teams to understand their business problems and deliver scalable technical solutions.About the teamGFT Data Services team is the data engineering team within Corp FP&A. On our team, we enjoy a unique vantage point into everything happening within Amazon. As part of that, this role would be part of a team that is responsible for Company’s enterprise-wide financial planning & analytics environment. The data flowing through our platform directly contributes to decision-making by our CFO and all levels of finance leadership. If you’re passionate about building tools that enhance productivity, improve financial accuracy, reduce waste, and improve work-life harmony for a large and rapidly growing finance user base, come join us!BASIC QUALIFICATIONS- 3+ years of data engineering experience- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets- Experience with data modeling, warehousing and building ETL pipelines- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS- Experience with SQL ...

We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists and engineers to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesWe seek strong Applied Scientists with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

Amazon Web Services is looking for world class scientists to join the Security Analytics and AI Research team within AWS Security Services. This group is entrusted with researching and developing core data mining and machine learning algorithms for various AWS security services like GuardDuty (https://aws.amazon.com/guardduty/). In this group, you will invent and implement innovative solutions for never-before-solved problems. If you have passion for security and experience with large scale machine learning problems, this will be an exciting opportunity.The AWS Security Services team builds technologies that help customers strengthen their security posture and better meet security requirements in the AWS Cloud. The team interacts with security researchers to codify our own learnings and best practices and make them available for customers. We are building massively scalable and globally distributed security systems to power next generation services.Key job responsibilities* Invent, implement, and deploy state of the art machine learning and deep learning models and systems for information security applications.* Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, making use of both quantitative and business judgment.* Collaborate with software engineering teams to integrate successful experiments into large scale, highly complex production services.* Report results in a scientifically rigorous way.* Interact with security engineers, product managers and related domain experts to dive deep into the types of challenges that we need innovative solutions for.About the teamWhy 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.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services.Inclusive Team 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 and 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.Diverse ExperiencesAmazon 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.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of field experience in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field.- Working knowledge of natural language processing (NLP) or large language model (LLM).- Experience with unsupervised learning, semi-supervised learning and continual learning.- Hands-on experience in predictive modeling and analysis.- Algorithm development experience.- Proficient in coding with at least one of the following: Java, C++, Python, Scala, Rust or other programming language.- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning. ...

You will work closely from a highly selective group of global Amazon partners to support the growth of our mutual business and total relationship success across worldwide Amazon. We are a global strategic business development team, seeking a customer-obsessed individual with excellent business judgement, to build collaborative relationships with partner executives in the Sports Retail division of Amazon. This a highly visible role and your work will directly impact how we evolve and grow Amazon’s global business.Key job responsibilities• Working closely with Amazon and senior leadership to support business objectives• Identifying the most impactful, incremental business opportunities for your partners across total global Amazon, specific to Sports Retail.• Working closely with Amazon teams and leadership across all countries and organizations to pursue those opportunities• Understanding opportunities using data, your close internal and external working relationships, and your knowledge of your partners’ global and local businesses• Identifying and gaining alignment on the most logical path to overcome opportunity blockers, by looking around corners and finding practical/creative solutions• Independently authoring documents, emails, and presentations for senior leadershipBASIC QUALIFICATIONS• Currently pursuing an MBA/Master’s degree with a graduation conferral date between December 31, 2025 and September 30, 2026• 3+ years of full-time professional and/or military experience which occurred which occurred between graduation from your undergraduate program and prior to starting your MBA/Masters program ...

We are looking for an Applied Scientist that will develop scientific algorithms, and deploy Large Language Model (LLM) solutions to improve the customer experience. The Applied Scientist will work closely with technology and product teams to solvebusiness and technology problems using scientific approaches to build new services that surprise anddelight our customers. As an Applied Scientist at Amazon, you will apply scientific principles to support significant invention, develop code, and will be deeply involved in bringing their algorithms to production. You will also work on cross-disciplinary efforts with other scientists within Amazon.Key job responsibilities- Develop scalable efficient solutions for customers using scientifically-based methods, LLM and decision making.- Help support production systems that take inputs from multiple models and make decisions in real time.- Automate feedback loops for algorithms in production.- Utilize Amazon systems and tools to effectively work with terabytes of data.A day in the lifeIf 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!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) PlanAbout the teamThe Shipping and Delivery Support (SDS) Tech team’s mission is to enable successful deliveries through fast and efficient support experiences for our drivers, recipients, and associates. The science team utilizes advanced scientific methods, including LLM to support the business, and improve driver support quality and deliveries efficiency.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 ...

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- Bachelor's degree in accounting or related field- 5+ years of finance or a related analytical field experience ...

About Amazon HealthAmazon Health’s mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we (Health Storefront and Shared Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.Job summaryWe are seeking an exceptional Senior Applied Scientist to join a team of experts in the field of machine learning, and work together to break new ground in the world of healthcare to make personalized and empathetic care accessible, convenient, and cost-effective. We leverage and train state-of-the-art large-language-models (LLMs) and develop entirely new experiences to help customers find the right products and services to address their health needs. We work on machine learning problems for intent detection, dialogue systems, and information retrieval. You will work in a highly collaborative environment where you can pursue both near-term productization opportunities to make immediate, meaningful customer impacts while pursuing ambitious, long-term research. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. You will get the opportunity to pursue work that makes people's lives better and pushes the envelop of science.#everydaybetterKey job responsibilities- Translate product and CX requirements into science metrics and rigorous testing methodologies.- Invent and develop scalable methodologies to evaluate LLM outputs against metrics and guardrails.- Design and implement the best-in-class semantic retrieval system by creating high-quality knowledge base and optimizing embedding models and similarity measures.- Conduct tuning, training, and optimization of LLMs to achieve a compelling CX while reducing operational cost to be scalable.A day in the lifeIn a fast-paced innovation environment, you work closely with product, UX, and business teams to understand customer's challenges. You translate product and business requirements into science problems. You dive deep into challenging science problems, enabling entirely new ML and LLM-driven customer experiences. You identify hypothesis and conduct rapid prototyping to learn quickly. You develop and deploy models at scale to pursue productizations. You mentor junior science team members and help influence our org in scientific best practices.About the teamWe are the Health AI team at HST (Health Store and Technology). The team consists of exceptional ML Scientists with diverse background in healthcare, robotics, customer analytics, and communication. We are committed to building and deploying the most advanced scientific capabilities and solutions for the products and services at Amazon Health.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 ...

We are seeking an experienced Business Analyst to join GPX team within SPS (Selling Partner Support) organization. This role will support the Seller Partner Support SOP team and the Risk Content Management team. This role will collaborate with program managers, content developers, editorial managers, product managers and business stakeholders to make an impact in the Amazon SPS organization to improve the way we support our Sellers.As a Business Analyst, you will interact with many of Amazon’s most complex systems to synthesize data and compile valuable insights that help improve and optimize processes to support sellers. These findings will serve as the basis for metrics and scalable mechanisms that fuel new opportunities. This role will enable the creation of new SOP products that reduce seller friction and enhance the seller support experience. The successful candidate will significantly impact by bridging efforts between multiple stakeholders. This position will be responsible for identifying failure points within our current systems and diving deep into existing processes to recommend improvements. The Business Analyst should enjoy the challenge of working with ambiguous data and have experience communicating insights and creating simple yet powerful narratives that drive change.Key job responsibilities- Perform complex data research to identify opportunities to simplify support process - Design, develop, and establish metrics to provide strategic insights - Pull and report data from numerous databases (using Excel, SQL, and/or other data management systems) and experience to dive deep and utilize known research and problem solving techniques- Communicate complex insights to stakeholders, both verbally and in writingBASIC 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 Excel ...

Amazon’s Global Risk Management & Claims team is seeking a highly skilled and detail-oriented Business Analyst with a robust background in economic theory, auto claims management, and data analytics. The ideal candidate will possess an in-depth understanding of insurance claims processes, a keen interest in economic principles, and proficiency in dissecting complex datasets. As a Business Analyst, you will play a pivotal role in extracting valuable insights from claims data, employing economic theories to evaluate risk factors, utilizing data metrics to optimize our claims management processes, and providing strategic recommendations to key stakeholders.Key job responsibilitiesIn this role, the Business Analyst will partner with key stakeholders to dive deep into business challenges and loss trends, aiming to unearth crucial insights. The ideal candidate will cultivate partnerships across various business lines to gather business requirements, develop metrics and reporting, establish key performance indicators for third-party vendors, deliver actionable insights to mitigate financial and operational risks. This position demands an adaptable individual with exceptional analytical skills and outstanding business acumen. The ideal candidate is customer obsessed, both internally and externally, and will work back from the customer to meet business objectives.The Business Analyst is responsible for:- Partner with cross functional business teams to consult, develop and implement metrics, automated reporting/process solutions, and process improvements to meet business needs.- Apply economic theories and models to assess claims trends, evaluate risk factors, and predict future claim performance.- Conduct in-depth economic analyses to evaluate the financial impact of claims and recommend cost-effective strategies for claims resolution.- Utilize advanced data analytics techniques to evaluate large and complex claims datasets.- Generating actionable insights through the development of key performance metrics, dashboards and analytics.- Identify opportunities for process improvements and automation within the organization.BASIC QUALIFICATIONS- Bachelor's degree- 5+ years of tax, finance or a related analytical field experience- 3+ years of writing SQL queries and creating business intelligence reports using Tableau, Power BI experience- 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 ...

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.Amazon Web Services (AWS) is the world leader in providing a highly reliable, scalable, low-cost infrastructure platform in the cloud powering hundreds of thousands of businesses in hundreds of countries around the world. As part of the AWS Infrastructure organization, Data Center Planning and Delivery (DCPD) prepares for, plans, and builds the data centers that comprise the AWS cloud.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.We are seeking a highly skilled and motivated Business and Data Analyst in Seattle, WA to manage and solve business critical problems using requirements analysis, build data reports/ dashboards to deliver financial insights to the business. This role has direct impact on the day-to-day decision making of large-scale capacity delivery and financial programs.This role drives operational excellence, by: 1) deep diving critical financial insights and data, 2) identifying solutions to streamline current processes and visualizations, and 3) using knowledge of infrastructure projects and financial insights to advise or influence business decisions that have cross-region impact. You must be highly analytical and possess a strong passion for analytics and accountability, set high standards with a focus on superior business success you must also have a passion for process improvement and constantly looking for ways to work more efficiently. You will use your judgment, analytical talent, technical aptitude, and leadership to collaborate with a diverse set of stakeholders across multiple time zones, design solutions, remove blockers, and find creative ways to invent and simplify centralized solutions.Key job responsibilities• Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.• Implementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.• Gathering business and functional requirements and translating the gathered requirements into robust, scalable, operable solutions that work well within the overall data architecture.• Analyzing source data systems and driving best practices in source teams.• Analyzing large amounts of data, discovering and solving real world problems, and building metrics and business cases to help business teams to make decisions.• Participating in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance to produce comprehensive, usable dataset documentation and metadata.• Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Identifying business process improvements from the data level.• Analyzing and evaluating business process, and through data driven insights proposing and implementing business process improvement.About the teamAWS 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. 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.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- Bachelor's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field- 4+ 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- 4+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience- 4+ years of experience partnering with executive-level leaders to identifying and solving business issues ...

We are seeking an Applied Science manager to join the Whole Page Planning and Optimization (WPPO) Science team in Search. The latest data from Business Insider shows that almost 50% of online shoppers visit Amazon first. The Search WPPO Science team is responsible for developing reinforcement learning systems for the next generation Amazon shopping experience and delivering it to millions of customers. We believe that shopping on Amazon should be simple, delightful, and full of WOW moments for EVERYONE, whether you are technically savvy or new to online shopping.Key job responsibilitiesAs the manager of Applied Science, you are responsible for defining and executing on the science vision. You will lead teams of scientists and engineers to work backwards from customer needs and translate product ideas into concrete deliverables. You will be the thought leader for inventing scalable AI solutions that support flexible UI frameworks. You will solve hard problems, advance science at Amazon, and be the leading innovator in e-commerce. In this role, you will work with a team of applied scientists, engineers, product managers, and UX designers to shape the future of Amazon shopping. You will be working with massive data and draw insights. Your team’s work is visible to millions of customers.BASIC QUALIFICATIONS- ·Master's degree in Computer Science, Statistics, Electrical Engineering, or Mathematics with specialization in specialization in statistical modeling, deep learning, and reinforcement learning.- 5+ years of working experience in solving machine learning problems and deploying science solutions for large-scale applications- 2+ years of experience leading a team of scientists and engineers Knowledge of programming languages such as C/C++, Python, Java- Excellent written and verbal communication skills ...

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

Innovators wanted! Are you an entrepreneur? A builder? A dreamer? This role is part of an Amazon team that takes the company’s Think Big leadership principle to the max. We focus on creating entirely new products that will positively impact millions of lives.As a Technical Program Manager, you will work alongside software management to become the central point of control and deployment for software. You will be responsible for coordination and execution between multiple teams to manage internal and customer facing software releases. Additionally, you will create/establish mechanisms and processes that ensure code interoperability, integrity of the software build and overall quality of code versioning as well as integration across development, test and production environments. You will be required to track, communicate status and independently drive issues to resolution.Key job responsibilities• You will work closely with system architects, engineers, and scientists to drive technical de-risking efforts in hardware, software, and algorithms to prepare the technological readiness.• You will manage how-to balance delivery with technical excellence, provide accurate estimates, anticipate roadblocks, and find ways to overcome those to help the team push forward.• You will design and implement scalable mechanisms to streamline close collaborations within our multi-disciplinary teams to enhance overall team productivity.• You will work with the initiative lead on regular communications with VP-level management on key business trends, major risks in technology, product, and business, and paths to green.About the team-Most roles for this position will be located at Amazon’s company headquarters in Seattle, WA or Arlington, VA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.-Role and team placement are based on business needs and as Amazon continues to grow and flex, we are looking for candidates who want to own, build and impact the customer experience rather than are tied to a specific role or team.-Internship start dates will be between May-June 2025 for a 12-week, consecutive internship.BASIC QUALIFICATIONS- Currently pursuing an MBA/Master’s degree with a graduation conferral date between December 31, 2025 and September 30, 2026- Bachelor's degree in Computer Science, Engineering or related field- 3+ years of full-time professional and/or military experience which occurred which occurred between graduation from your undergraduate program and prior to starting your MBA program ...

Are you excited about developing generative AI and foundation models to revolutionize automation, robotics and computer vision? Are you looking for opportunities to build and deploy them on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. This role is for the AFT AI team which has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.We are looking for an Applied Scientist with expertise in computer vision. You will work alongside other CV scientists, engineers, product managers and various stakeholders to deploy vision models at scale across a diverse set of initiatives. If you are a self-motivated individual with a zeal for customer obsession and ownership, and are passionate about applying computer vision for real world problems - this is the team for you. Key job responsibilities- You will be part of a team of scientists and engineers and will work on scaling systems to production along side partner teams.- You will learn how to build robust solutions that operate at Amazon scale, and work with senior technical leaders to grow your skills.- You will face a high level of research ambiguity and problems that require creative, ambitious, and inventive solutions. - You will design and implement scalable solutions and solve complex problems- You will mentor and coach junior software developers- You should be a great communicator and should be motivated to achieve results in a fast-paced, and at times ambiguous, environment- You should be a self-starter with a bias towards independent problem solving.A day in the lifeAmazon 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!About the teamAmazon Fulfillment Technologies (AFT) powers Amazon’s global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it.The AFT AI team has deep expertise developing cutting edge AI solutions at scale and successfully applying them to business problems in the Amazon Fulfillment Network. These solutions typically utilize machine learning and computer vision techniques, applied to text, sequences of events, images or video from existing or new hardware. We influence each stage of innovation from inception to deployment, developing a research plan, creating and testing prototype solutions, and shepherding the production versions to launch.Our team is the central machine learning and computer vision team supporting all of AFT. The team is comprised of scientists, who develop machine learning and computer vision solutions, analytics, who evaluate the expected business impact for a project and the performance of these solutions, and software engineers, who provide necessary support such as annotation pipelines and machine learning library development.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 developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms- 1+ years of building models for business application experience ...

Do you want to use your expertise in translating innovative science into impactful products to develop a new business line in emerging stores. If you do, Emerging Stores Payments team would love to talk to you about how to make that a reality.As an applied scientist on our team, you will work with business leaders, scientists, and engineers to translate business and functional requirements into concrete deliverables and define the execution roadmap. You will partner with scientists, and engineers on the design, development, testing, and deployment of scalable ML models. This is a unique, high visibility opportunity for someone who wants to have impact, dive deep into large-scale solutions, enable measurable actions on the employee experience, and work closely with scientists and economists. This role combines science leadership and technical strength.Key job responsibilities- As an Applied Scientist, ML Applications, you will:- Lead applied scientists to deliver machine-learning and AI solutions to production.- Design, develop, and evaluate innovative machine learning solutions to solve diverse challenges and opportunities for Amazon customers- Advance the team's engineering craftsmanship and drive continued scientific innovation as a thought leader and practitioner.- Partner with the engineering team to deploy your models in production.- Partner with scientists from across ML teams within India Consumer Payments to solve complex problems.- Work directly with Amazonians from across the company to understand their business problems and help define and implement scalable ML solutions to solve them.- Mentor and develop junior scientists and developers.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 ...

We are powering an automation and self service driven customer journey for AWS customers leveraging a range of Analytics tools to generate business shaping insights. About AWS: For more than 11 years, Amazon Web Services (“AWS”) has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services to millions of active customers around the world - including the fastest-growing startups, largest enterprises, and leading government agencies - to power their infrastructure. About the Analytics Team: The Analytics team is a small, central group in the AWS Support organization. The team comprises members from a range of skill-sets such as strategy & planning, Machine Learning / predictive analytics and Business Intelligence. The Analytics team is responsible for pushing our Product, Process and Customer understanding and insight beyond the here and now to create value for the long-term. The team is responsible for coming up with hypotheses, uncovering key insights and developing a point of view on actions across the portfolio of our products and services. About the Role: If you love driving critical thinking and insight into challenging, unstructured problems and working with leaders in the organization to bring those insights into action, this role is for you. This is a hands-on role, however, being a part of a small team gives opportunity to take ownership of the customer / business problem across the spectrum from ideation to setting it up for implementation in partnership with stakeholder teams. About the teamDiverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship and Career 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. AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.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 writing complex SQL queries- Experience in Statistical Analysis packages such as R, SAS and Matlab ...

Note: By applying to this position, your application will be considered for: Arlington, VA; and Seattle, WA.Are you a developer who has hands-on experience with building cloud-native applications? Would you like to work with our customers to help them architect, develop and re-engineer applications to fully leverage the AWS Cloud? Do you like to work on a variety of cutting edge, business-critical projects at the forefront of application development and cloud technology adoption?In order for applications to be fully optimized, they need to be architected to take advantage of the global scale, elasticity, automation and high availability features of the AWS cloud. On the AWS platform, services such as API Gateway, Lambda, ECS, SQS, Kinesis, AI and others provide opportunities to design and build cloud-ready applications.You will join as part of the AWS Professional Services (ProServe Associate to Consultant (A2C), which focuses on the accelerated career development of university graduates and early career professionals. Our team members work with enterprise customers locally, regionally and domestically. As such, this role has up to 75% travel associated. While many of our customers engage ProServe virtually, there is always the potential that a customer might choose to include travel in their contract.Key job responsibilitiesIn order for applications to be fully optimized, they need to be architected to take advantage of the global scale, elasticity, automation and high availability features of the AWS cloud. On the AWS platform, services such as API Gateway, Lambda, ECS, SQS, Kinesis, AI and others provide opportunities to design and build cloud-ready applications. Amazon Web Services is looking for highly talented hands-on technical developer to help accelerate our growing Professional Services business. This is an excellent opportunity to join Amazon’s world class technical teams, working with some of the best and brightest engineers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies. We are looking for hands-on architects/developers who are passionate about:* Helping customers architect scalable, highly available application solutions that leverage AWS services* Architecting and developing customer applications to be cloud optimized* Working as a technical specialist alongside customer business, development and infrastructure teams* Providing deep software development knowledge with respect cloud architecture, design patterns and programming* Advising and implementing AWS best practices* Working as both an infrastructure and application development specialist* Implementing DevOps practices such as infrastructure as code, continuous integration and automated deploymentAbout the teamAWS Professional Services engage in a wide variety of projects for customers and partners, providing collective experience from across the AWS customer base and are obsessed about strong success for the Customer. Our consultants will develop and deliver proof-of-concept projects, technical workshops, and support implementation projects. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based upon customer needs.You will also have the opportunity to create white papers, writing blogs, build demos and other reusable collateral that can be used by our customers. Most importantly, you will work closely with our Solution Architects, Data Scientists and Service Engineering teams. Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 85,000 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 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Work/Life BalanceOur team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization—leaders start with the customer and work backwards. They work vigorously to earn and keep customer trust. As such, this is a customer facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed. Mentorship & Career GrowthOur 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. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS* Bachelor’s degree or higher in Computer Science, Engineering, Mathematics or a related field with a conferral date within May 2023 to May 2025 * 1+ years of hands-on experience of programming in languages such as Python, Ruby, Go, Swift, Java, .Net, C++, Node.js, or similar object-oriented language. ...

Do you want to create the greatest-possible worldwide impact in Robotics? Amazon has the world's most exciting treasure trove of robotics challenges. At Amazon Robotics we build high-performance, real-time robotic systems that can perceive, learn, and act intelligently alongside humans—at Amazon scale. Amazon Robotics invents and scales AI systems for robotics in fulfillment. Our mission is to enable robots to interact safely, efficiently, and fluently high density real-world fulfillment centers. Our AI solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We hire and develop collaborative subject matter experts in AI with a focus on computer vision, deep learning, semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, large scale generative models, closed-loop control, robotic grasping and manipulation—all of which have high-value impact for our current and future fulfillment networks.We are seeking a hands-on, seasoned Applied Scientists who will be deep in code and algorithms; who are technically strong in building scalable vision systems across item understanding, pose estimation, class imbalanced classifiers, identification and segmentation. As a Applied Scientist, you will contribute to the research and development of advanced robotic systems; your work along with other top-notch scientists and engineers will deliver the world's most scalable and robust robotic systems. You will drive ideas to products using paradigms such as deep learning, semi supervised learning and active learning.As a Applied Scientist, you will also help lead and mentor our team of applied scientists and engineers. You will take on challenging customer problems, distill customer requirements, and then deliver solutions that either leverage existing academic and industrial research or utilize your own out-of-the-box but pragmatic thinking. In addition to coming up with novel solutions and prototypes, you will directly contribute to implementation while you lead. A successful candidate has excellent technical depth, scientific vision, project management skills, great communication skills, and a drive to achieve results in a collaborative team environment.You should enjoy the process of solving real-world problems that, quite frankly, haven’t been solved at scale anywhere before. Along the way, we guarantee you’ll get opportunities to be a fearless disruptor, prolific innovator, and a reputed problem solver—someone who truly enables AI and robotics to significantly impact the lives of millions of consumers.Key job responsibilitiesArchitect, design, and implement Machine Learning models for vision systems on robotic platformsOptimize, deploy, and support at scale ML models on the edge. Influence the team's strategy and contribute to long-term vision and roadmap.Work with stakeholders across , science, and operations teams to iterate on design and implementation.Maintain high standards by participating in reviews, designing for fault tolerance and operational excellence, and creating mechanisms for continuous improvement.Prototype and test concepts or features, both through simulation and emulators and with live robotic equipmentWork directly with customers and partners to test prototypes and incorporate feedbackMentor other engineer team members.A day in the lifeAmazon offers a full range of benefits for 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!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 developing and implementing deep learning algorithms, particularly with respect to computer vision algorithms- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language ...