Amazon.com Services LLC

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.This role is an On-site 6 month co-op from July - December 2025.The Robotics Manufacturing and Technical Operations team is seeking a Manufacturing Planning Co-op to develop and manage new manufacturing initiatives which will support high volume, high mix manufacturing and emerging products and technology. The Manufacturing team works with partner teams in early design stages and develops processes to launch and sustain manufacturing for complex robotics equipment. This role will work closely with manufacturing, supply chain, and technical operations to operationalize new insourcing or optimization opportunities and manage execution deliverables throughout the lifecycle of the project. The role will have visibility and project ownership across all manufacturing operations and will lead critical planning activities for world class manufacturing execution. The role collaborates with leadership and stakeholders to develop performance metrics, drive best practices, and lead process and tool improvements that align with the strategic priorities of the team. Key job responsibilities* Identifies and executes small to medium sized supply chain/operations projects* Integrates key planning metrics with broader business metrics to deliver optimal customer experience* Provides scalable solutions for specific business identified opportunities* Works with internal technical teams to drive a single system process change (e.g., inventory tracking) by defining requirements, driving prioritization, and managing implementation* Evolve and maintain standard operating procedures for manufacturing operations to support future program management in a high mix, high volume manufacturing environment* Support weekly, monthly and quarterly business planning cycles and track performance metrics/KPIs* Provide recommendations for operational improvements including utilization of ERP/system capabilities* Continuous improvement projects* Troubleshooting escalations for receiving, shipping, or general material flow * Ability to travel (~10%) to support projects when normal business travel practices resumeA 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!About the teamThe Amazon Robotics Manufacturing and Technical Operations team (RMTO) works across the Global Robotic Operations department to enable manufacturing scalability and adaptability to best serve the Amazon Operations Network. Through strategic thought leadership, we evaluate manufacturing constraints across the product portfolio to deliver solutions that optimize resource allocation and maximize customer responsiveness. Our team’s holistic and peculiar mindset allows us to develop the manufacturing leaders of tomorrow while delivering results for our customers.BASIC QUALIFICATIONS- * Pursuing a Bachelor’s/Master’s degree in an Engineering major, Supply Chain Management, or other equivalent discipline * Currently enrolled in college/university and must have at least one semester/term/quarter of school left to complete after the end of the co-op * Must be eligible and available for a full-time (40h / week) from July - Dec 2025 * December 2025 graduation date or later * Microsoft Office skills, including advanced knowledge of Excel ...

Are you looking to apply your mobile development skills to problems on a global scale while impacting millions of users on a daily basis? Are you interested in developing science-driven technology that will help Amazon deliver packages worldwide efficiently and quickly?Amazon Flex is the system that collaborates with crowd-sourced and third-party delivery partners to complete deliveries for many of Amazon's programs. Our mobile application works in concert with our advanced logistics systems and predictive analytics. These technologies allow delivery partners to on-board, schedule delivery times in advance or on demand, and be guided through their deliveries with in-app mapping, navigation, and much more. Our ability to engage with, support and provide a world-class experience to both customers and our delivery partners has become more critical as we continue to expand the number of active delivery partners and target faster deliveries to our customers.Key job responsibilitiesAs an engineer on our team, you will own software in all phases of the software life-cycle from architecture and design through deployment and release. You will help create scale-able, global applications. You will also build applications to manage automated scheduling and engagement to meet capacity needs. You will learn about Amazon’s logistics network, interact with other teams to build optimized systems, and have autonomy to deliver software which impacts multiple delivery provider programs.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language- Experience building complex software systems that have been successfully delivered to customers- Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems ...

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

The AMER Production Coordinator provides customer-centric booking management, calendar, organizational, reporting, marketing efforts and administrative support to the Event Productions AMER Large Production Venues team. The primary focus supports booking management and calendar logistics for customer events. A successful candidate will be able to step seamlessly into a corporate production environment, demonstrating strong organizational skills, impeccable customer service attitude, and be energetically driven to serve our customers and the team.Key job responsibilities• Daily customer communication and management• Manages the assessment of incoming customer requests• Able to work backwards from production technical requirements and partner with production stakeholders• Regular scheduling of customer requests and customer meetings management• Maintains multiple venue calendars and workflows• Supports and collaborates cross-team, attending team meetings and production meetings• Collaborates across teams and partners, routing customer requests to the most appropriate event resources• Supports vendor and stakeholder relations, across partner and service groups• Manages meetings effectively; provides supporting data and documentation, aligns stakeholders• Improves efficiencies, and works to optimize processes• Delivers weekly metrics, data, and reports• Works on goal-centric projects, aligns stakeholders and seeks diverse opinions• Able to identify blockers, escalate appropriately and facilitate progress• Collaborates with customers; able to discuss referrals, recommendations, and additional resources as neededBASIC QUALIFICATIONS- 2+ years in project management- 2+ years advancing customer events and/or event marketing- 2+ years customer service in related field- 2+ years familiarity with event production environments- 2+ years managing multi-calendar workflows- 2+ years managing customer leads and booking queues- Strong written and verbal communication skills- Familiarity with event booking systems, programs, and platforms- Able to effectively prioritize and meet competing deadlines- High level of proficiency in Microsoft Outlook and Microsoft Office Suite. ...

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations re-imagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes, unlocking our potential worldwide.Amazon Business (AB) teams are disrupting the status quo of Business to Business (B2B) by delivering new, efficient purchasing solutions to individual proprietors, to small-medium businesses, to large global organizations (and everything in between). Within AB, the AB Third Party (AB3P) Seller Marketplace is multi-billion-dollar P&L connecting business customers with third party sellers globally, and relentlessly innovating across a broad spectrum of functions including expanding our selection, building B2B-specific features, offering everyday low prices, improving world-class delivery, and setting up our sellers for success.AB3P is seeking a dynamic and motivated Sales Representative for our third-party direct sales team. The Sales Representative will be responsible for recruiting and assisting businesses to sell their products to Amazon Business customers. The Sales Representative will be expected to develop and manage a transactional sales pipeline of targeted accounts while executing sales strategies to meet selection and revenue goals. In this role, you will be responsible for prospecting, identifying, initial outreach, follow-up, and closing prospects from commitment to launch to selling products on Amazon Business. You will be the point of contact for owners and senior leadership at companies throughout the sales process and responsible for identifying and building relationships with influencers and decision makers. You will also work with internal stakeholders and cross-functional teams to create and present compelling solutions that exceed customer requirements and accelerate new seller growth on Amazon Business.This role can be based in one of the following locations: Seattle, WA; Austin, TX; Tempe, AZ; Dallas, TX; Arlington, VA; New York, NY; or Boston, MA.Key job responsibilitiesA successful candidate will have the skills and passion to drive Selling Partner business growth and deliver a positive experience with our program. The key responsibilities of a New Seller Recruitment Rep include but are not limited to:* Execute a playbook for the recruitment and on-boarding of net-new Selling Partners, working together with the leaders across various stakeholder teams including Compliance, Legal, Marketing, Restricted Products, Listing Creation, Integration, and Category Business Development team.* Identify and build relationships with key influencers and decision makers within prospective accounts, along with internal stakeholders and cross-functional teams to*Create and present compelling Amazon solutions to drive performance improvements across key inputs including selection, listing quality, pricing, and fulfillment* Develop and manage a transactional sales pipeline of prospect accounts while executing sales strategies that drive revenue and exceed customer expectations.* Conduct deep dive analysis on issues affecting Seller business performance and communicate the Voice of the Seller internally as an input into product development and process improvement* Demonstrate time-management skills and the ability to work independently while using centralized resources, policies and procedures.* Develop a thorough understanding of the e-commerce industry including knowledge of B2B product offeringsBASIC QUALIFICATIONS- 1+ years of professional or military experience- Experience prospecting, qualifying, and cold-calling companies- Knowledge of Microsoft Office products and applications- Experience and track record of exceeding sales goals ...

The Applied Scientist in Natural language processing (NLP) within Customer Engagement Tech, Self-Service and Automation team will work on the research, design, and implementation of solutions to key challenges in developing conversational AI systems based on large pretrained language models, that can understand and communicate with customers in a natural and contextually appropriate manner. This involves tackling complex problems in areas such as multi-turn dialogue management, knowledge grounding, and open-ended generation and assessment of dialogue quality and style of the conversational model.Key job responsibilities- Lead the research and development of LLM-based chatbots and conversational AI systems for customer service applications.- Design and implement state-of-the-art NLP and ML models for tasks such as language understanding, dialogue management, and response generation and dialogue quality assessment.- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to integrate LLM-based solutions into Amazon's customer service platforms.- Develop and implement strategies for data collection, annotation, and model training to ensure high-quality and robust performance of the chatbots.- Conduct experiments and evaluations to measure the performance of the developed models and systems, and identify areas for improvement.- Stay up-to-date with the latest advancements in NLP, LLMs, and conversational AI, and explore opportunities to incorporate new techniques and technologies into Amazon's customer service solutions.- Collaborate with internal and external research communities, participate in conferences and publications, and contribute to the advancement of the field.A day in the lifeWe thrive on solving challenging problems to innovate for our customers. By pushing the boundaries of technology, we create unparalleled experiences that enable us to rapidly adapt in a dynamic environment. Our decisions are guided by data, and we collaborate with engineering, science, and product teams to foster an innovative learning environmentIf 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!Benefits Summary: Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) PlanAbout the teamJoin our team of scientists and engineers who develop and deploy LLM-based Conversational AI systems to enhance Amazon's customer service experience and effectiveness. We work on innovative solutions that help customers solve their issues and get their questions answered efficiently, and associate-facing products that support our customer service associate workforce.BASIC QUALIFICATIONS- 3+ years of building machine learning models or developing algorithms 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 building speech recognition, machine translation and natural language processing systems (e.g., commercial speech products or government speech projects) ...

Are you excited about developing 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. We are looking for collaborative scientists, engineers and program managers for a variety of roles.The Amazon Robotics software team is seeking an experienced and senior Applied Scientist to focus on computer vision machine learning models. This includes building multi-viewpoint and time-series computer vision systems. It includes building large-scale models using data from many different tasks and scenes. This work spans from basic research such as cross domain training, to experimenting on prototype in the lab, to running wide-scale A/B tests on robots in our facilities. Key job responsibilities* Research vision - Where should we be focusing our efforts* Research delivery – Proving/dis-proving strategies in offline data or in the lab* Production studies - Insights from production data or ad-hoc experimentation. 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 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 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 ...

Are you motivated to explore research in ambiguous spaces? Are you interested in conducting research that will improve associate, employee and manager experiences at Amazon? Do you want to work on an interdisciplinary team of scientists that collaborate rather than compete? Join us at PXT Central Science!The People eXperience and Technology Central Science Team (PXTCS) uses economics, behavioral science, statistics, and machine learning to proactively identify mechanisms and process improvements which simultaneously improve Amazon and the lives, wellbeing, and the value of work to Amazonians. We are an interdisciplinary team that combines the talents of science and engineering to develop and deliver solutions that measurably achieve this goal.Key job responsibilitiesAs an Applied Scientist for People Experience and Technology (PXT) Central Science, you will be working with our science and engineering teams, specifically on re-imagining Generative AI Applications and Generative AI Infrastructure for HR. Applying Generative AI to HR has unique challenges such as privacy, fairness, and seamlessly integrating Enterprise Knowledge and World Knowledge and knowing which to use when. In addition, the team works on some of Amazon’s most strategic technical investments in the people space and support Amazon’s efforts to be Earth’s Best Employer. In this role you will have a significant impact on 1.5 million Amazonians and the communities Amazon serves and ample scope to demonstrate scientific thought leadership and scientific impact in addition to business impact.You will also play a critical role in the organization's business planning, work closely with senior leaders to develop goals and resource requirements, influence our long-term technical and business strategy, and help hire and develop science and engineering talent. You will also provide support to business partners, helping them use the best scientific methods and science-driven tools to solve current and upcoming challenges and deliver efficiency gains in a changing markeAbout the teamThe AI/ML team in PXTCS is working on building Generative AI solutions to reimagine Corp employee and Ops associate experience. Examples of state-of-the-art solutions are Coaching for Amazon employees (available on AZA) and reinventing Employee Recruiting and Employee Listening.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 ...

At Amazon, we are excited to offer graduate students the opportunity to launch into big careers with limitless possibilities. We know searching for an internship role is as much about finding a company where you can picture yourself being successful as it is about finding the right role. 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.Sr. Marketing Managers (MM): MMs at Amazon drive general marketing, product marketing or functional marketing initiatives for organizations including (but not limited to): Amazon Music, Prime Video, Alexa Devices, Kindle, Amazon Web Services (AWS), North America Consumer (such as Retail Systems, Customer and Brand Protection, Marketplace Sales, International Retail, Hardlines, and Softlines) and Prime. They work cross-functionally to develop marketing plans, define success metrics, manage strategic projects, and own business outcomes. MMs ultimately become marketing leaders responsible for large business segments and organizations.Key job responsibilities• Sr. General Marketing Managers can be responsible for developing mass brand campaigns, integrated marketing programs, annual marketing plans, creative strategies and go-to-market.• Sr. Product Marketing Managers can be responsible for developing marketing plans, positioning, pricing, messaging, funnel optimization and lifecycle marketing. • Sr. Functional Marketing Managers can be responsible for developing global paid media plans, cross-channel outbound campaigns, merchandising programs and promotion strategies.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- Are 18 years of age or older- Currently enrolled in MBA or equivalent master’s level program at the time of application with anticipated graduation dates between December 1, 2025 and September 30, 2026.- 3+ years of full-time industry work experience, which occurred between graduation from your undergraduate program and prior to starting your MBA or master’s program, OR 3+ years of military work experience prior to starting your MBA or master’s program. ...

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an Area Manager. In this role, you will lead a team of hourly workforce and will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. You will also play a key role in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location.Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer.Key job responsibilities* Support, mentor, and motivate your hourly workforce* Manage safety, quality, productivity, and customer delivery promises* Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives* Lift up to 49 pounds and frequently push, pull, squat, bend, and reach* Stand/walk for up to 12 hours during shifts* Work in an environment where the noise level varies and can be loud* Work in an environment that is subject to variable temperatures and weather (delivery stations include outside loading departments)* Continuously climb and descend stairs (applies to sites with stairs)Our fulfillment network launches new Operations sites every year, providing various opportunities for your professional growth. We hire Area Managers based on location preference and the business’ current openings.BASIC QUALIFICATIONS- 2+ years of employee and performance management experience- Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an Area Manager. In this role, you will lead a team of hourly workforce and will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. You will also play a key role in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location.Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer.Key job responsibilities* Support, mentor, and motivate your hourly workforce* Manage safety, quality, productivity, and customer delivery promises* Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives* Lift up to 49 pounds and frequently push, pull, squat, bend, and reach* Stand/walk for up to 12 hours during shifts* Work in an environment where the noise level varies and can be loud* Work in an environment that is subject to variable temperatures and weather (delivery stations include outside loading departments)* Continuously climb and descend stairs (applies to sites with stairs)Our fulfillment network launches new Operations sites every year, providing various opportunities for your professional growth. We hire Area Managers based on location preference and the business’ current openings.BASIC QUALIFICATIONS- 2+ years of employee and performance management experience- Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...

Amazon is looking for a talented Postdoctoral Scientist to join our Perfect Order Experience (POE), Trustworthy Shopping Experience (TSE) team for a one-year, full-time research position. Postdoctoral Scientists will drive data-driven innovations in decision optimization and causal inference.In this role, you will have the opportunity to:- Leverage advanced statistical techniques and machine learning models to extract valuable insights from historical data and comparable item information.- Tackle data scarcity challenges by developing innovative approaches to maximize the utility of available data sources.- Collaborate with cross-functional teams to develop and deploy production-ready solutions.- Participate in research activities, including publishing papers, attending conferences, and collaborating with academic institutions to advance the state-of-the-art in relevant fields. Key job responsibilitiesIn this role you will:• Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community.• Publish your innovation in top-tier academic venues and hone your presentation skills.• Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. About the teamWe are a Center of Excellence of building economic solutions to optimize the return of investment at the program level and at the decision level. We focus on projects that have the largest impact and greatest long term potential across the business. Our products are models, scalable services and actionable insights. We proactively identify and explore opportunities on behalf of our business partners.BASIC QUALIFICATIONSBasic qualifications include: - PhD in a relevant field, received within 2 years of starting the program- Proven publication record in Operation Research, Statistics, Machine Learning, Computer Science, Econ, or other related technical fields- Experience in quantitative research and foundation models- Proficiency in technologies relevant to the subfield ...

Please note the following eligibility requirements to apply for this role:• Graduate from Bachelor's degree* program in Accounting between 12/2024 and 6/2025, or within past 24 months.• Ability to relocate to Greater Seattle Area. Relocation assistance provided, if eligible.• Ability to begin full-time employment on Monday, August 11, 2025.• We are unable to offer visa sponsorship for this role.For more information, please visit https://amazon.jobs/content/en/faq/university-talent .*Or dual degree/Master’s degree program you are completing immediately following bachelor's degreeJob summary At Amazon, we are excited to offer undergraduate students the opportunity to launch into big careers with limitless possibilities. We know searching for a full-time role is as much about finding a company where you can picture yourself being successful as it is about finding the right role. 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.Accounting - Financial Analyst: Amazon’s global accounting team is searching for financial accounting and audit professionals who consistently exceed expectations, who thrive in a challenging workplace, and who can actively contribute to our talented team. The global accounting organization supports our financial reporting, internal control, intercompany, and transfer pricing activities and also supports new business launches globally for Amazon in the consumer products, digital initiatives, merchant, operations, logistics, payments, and cloud computing lines of business.The program is designed to support the experience requirements for several professional licenses (e.g. CPA) and certifications (e.g., CIA, CISA), and develop a broad set of skills and experience within Accounting through a 2-year rotation program. The program offers structured training and development, networking and comradery opportunities. A Financial Analyst will support both Central Line (e.g. Financial Reporting, M&A, Intercompany), and Business-line Accounting (e.g. Inventory, Payments, Digital) throughout their time in the program. Participants will follow a 1 year/1 year rotation schedule, and be exposed to financial reporting, month-end close processes, internal controls, analytics, technical accounting, digital initiatives, and new business launches. Preferred applicants have exposure to operational accounting concepts of inventory, procurement, payables, receivables, and revenue. Successful candidates will bring diverse perspectives and varied experiences (whether from school, life, or past jobs).The Accounting position is a part of the broader Amazon Finance Rotation Program (AFRP). If you would like to learn more about the program, please review the previously recorded information session here: https://attendee.gotowebinar.com/recording/7746853706024523102 BASIC QUALIFICATIONS- Are 18 years of age or older- Currently enrolled in a bachelor’s degree program in Accounting (or a dual degree/Master’s degree program you are completing immediately following bachelor's degree) with a graduation conferral date between December 2024 and June 2025, or within past 24 months. ...

Amazon is investing heavily in building a world class advertising business and we are responsible for 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. We are highly motivated, collaborative and fun-loving with an entrepreneurial spirit and bias for action. With a broad mandate to experiment and innovate, we are growing at an unprecedented rate with a seemingly endless range of new opportunities.This position will be part of the Conversational Ad Experiences team within the Amazon Advertising organization. Our cross-functional team focuses on designing, developing and launching innovative ad experiences delivered to shoppers in conversational contexts. We utilize leading-edge engineering and science technologies in generative AI to help shoppers discover new products and brands through intuitive, conversational, multi-turn interfaces. We also empower advertisers to reach shoppers, using their own voice to explain and demonstrate how their products meet shoppers' needs. We collaborate with various teams across multiple Amazon organizations to push the boundary of what's possible in these fields.As an Applied Scientist on our team, you will be working with talented scientists, engineers, and technical program managers to innovate on behalf of our customers. An ideal candidate is able to navigate through ambiguous requirements and has experience in Natural Language Processing, Ads recommendation systems, information/evidence retrieval and/or LLM prompt engineering. 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!We are open to hiring candidates to work out of one of the following locations:Seattle, WA and New-York, NYKey job responsibilities- Serve as the Science lead in defining the Science charter for the team (for an entirely new space using LLMs) & leading other AS on the team- Build POCs, experiment, optimize and deploy models into production- Partner with other Science teams within the org to deliver features for a net new shopper experience - Run experiments/weblabs and be able to perform statistical analysis- Mentor other scientists on the team- Partnering with Principal PMT and SDM to influence the Product strategyNice to have - Experience in Ads recommendations & information / evidence retrieval - Experience working with Large Language Models & Prompt EngineeringBASIC 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 ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. As a core product offering within our advertising portfolio, Sponsored Products (SP) helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The SP team's primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth.The Search Ranking and Interleaving (R&I) team within the Marketplace Intelligence org in SP is responsible for determining which ads to show in Amazon search, where to place them, how many ads to place, and to which customers. This helps shoppers discover new products while helping advertisers put their products in front of the right customers, aligning shoppers’, advertisers’, and Amazon’s interests. To do this, we apply a broad range of machine learning, causal inference, and optimization techniques to continuously explore, learn, and optimize the ranking and allocation of ads on the search page. We are an interdisciplinary team with a focus on customer obsession and inventing and simplifying. Our primary focus is on improving the SP experience in search by gaining a deep understanding of shopper pain points and developing new innovative solutions to address them.We are looking for an Applied Scientist to join the Search Ranking team in MI. The team is responsible for improving the quality of ads shown to users (e.g., relevance, personalized and contextualized ranking to improve shopper experience and business metrics) via online experimentation, ML modeling, simulation, and online feedback. As an Applied Scientist on this team, you will identify big opportunities for the team to make a direct impact on customers and the search experience. You will work closely with with search and retail partner teams, software engineers and product managers to build scalable real-time ML solutions. You will have the opportunity to design, run, and analyze A/B experiments that improve the experience of millions of Amazon shoppers while driving quantifiable revenue impact while broadening your technical skillset. Key job responsibilities- Tackle and solve challenging science and business problems that balance the interests of advertisers, shoppers, and Amazon.- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Develop real-time machine learning algorithms to allocate billions of ads per day in advertising auctions.- Develop efficient algorithms for multi-objective optimization using deep learning methods to find operating points for the ad marketplace then evolve them- Research new and innovative machine learning approaches.BASIC QUALIFICATIONS- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

Our WW Operations network delivers millions of packages and smiles to Amazon customers every day. We are looking for motivated, customer-focused individuals who want to join our team as an Area Manager. In this role, you will lead a team of hourly workforce and will be responsible for engaging your team during their shifts to maintain the highest levels of safety, quality, attendance, and performance. You will also play a key role in maintaining our customer expectations to ensure customer orders are delivered at the right time, to the right location. Our Operation’s workflow has three major components: First mile - where the product is housed and ready for order; Middle mile - where the order is hauled to your area; and Last mile - when the product is delivered to the customer’s door. Please note that all workflows have slight building variations, but one thing is constant: our vision and dedication to the customer. Key Responsibilities and Job Elements: - Support, mentor, and motivate your hourly workforce - Manage safety, quality, productivity, and customer delivery promises - Collaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectives - Lift up to 49 pounds and frequently push, pull, squat, bend, and reach - Stand/walk for up to 12 hours during shifts - Work in an environment where the noise level varies and can be loud - Work in an environment that is subject to variable temperatures and weather (delivery stations include outside loading departments) - Continuously climb and descend stairs (applies to sites with stairs) Our fulfillment network launches new Operations sites every year, providing various opportunities for your professional growth. We hire Area Managers based on location preference and the business’ current openings. BASIC QUALIFICATIONS- 2+ years of employee and performance management experience- Bachelor's degree or equivalent, or 2+ years of Amazon (blue badge/FTE) experience- Work a flexible schedule/shift/work area, including weekends, nights, and/or holidays ...

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

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 ...

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

The Amazon Artificial General Intelligence (AGI) Personalization team is looking for a passionate, highly skilled and inventive Applied Scientist with strong machine learning background to build state-of-the-art ML systems for personalizing large-scale, high-quality conversational assistant systems. As a Applied Scientist, you will play a critical role in driving the development of personalization techniques enabling conversational systems, in particular those based on large language models, information retrieval, recommender systems and knowledge graph, to be tailored to customer needs. You will handle Amazon-scale use cases with significant impact on our customers' experiences.Key job responsibilities- Use deep learning, ML and NLP techniques to create scalable solutions for creation and development of language model centric solutions for building personalized assistant systems based on a rich set of structured and unstructured contextual signals- Innovate new methods for contextual knowledge extraction and information retrieval, using language models in combination with other learning techniques, that allows effective grounding in context providers when considering memory, compute, latency and quality- Research in advanced customer understanding and behavior modeling techniques- Collaborate with cross-functional teams of scientists, engineers, and product managers to identify and solve complex problems in personal knowledge aggregation, processing, modeling, and verification- Design and execute experiments to evaluate the performance of state-of-the-art algorithms and models, and iterate quickly to improve results- Think Big on conversational assistant system personalization over a multi-year horizon, and identify new opportunities to apply these technologies to solve real-world problems- Communicate results and insights to both technical and non-technical audiences, including through presentations and written reportsAbout the teamThe AGI Personalization org uses various contextual signals to personalize Large Language Model output for our customers while maintaining privacy and security of customer data. We work across multiple Amazon products, including Alexa, to enhance the user experience by bringing more personal context and relevance to customer interactions.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building models for business application experience- Experience 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 ...