Amazon.com Services LLC

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.For FAQs, please visit: https://amazon.jobs/content/en/faq/university-talentAmazon is looking for hands-on, creative, detail-oriented, analytical, and highly motivated account representatives to help scale Amazons growing businesses.Key job responsibilities• Build solid relationships with internal and external stakeholders, displaying a dedication to delivering first-class service and solutions.• Analyze performance against key metrics to identify, recommend, and implement optimizations to increase efficiency, productivity, and return on investment.• Regularly communicate success metrics with external stakeholders to drive the business.• Leverage our suite of rich data, targeting and product channels to collaborate with the other teams in the development of tailored solutions that meet clients’ goals.• Troubleshoot any technical or implementation issues, collaborating with internal teams to develop quick and sound solutions.• Lead quarterly reports with stakeholders.• Drive operational excellence to ensure SLA adherence and client satisfaction.A day in the lifeYou will work with a range of Amazon Businesses and business partners to increase sales and marketing, improve product lifecycles, and ensure that it stays competitive within Amazon’s online space.To do this, you need to be extremely hands on, have an understanding of Amazon's display advertising products, technical/operational capabilities, and have the ability to synthesize analysis into a concise and compelling presentation.BASIC QUALIFICATIONS- Are 18 years of age or older- Currently enrolled in a bachelor’s degree program with a graduation conferral date between December 2024 and June 2025, or graduated from bachelor’s degree program within past 24 months. ...

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' full-time opportunity will be based out of the Greater Boston Area or the Greater Seattle Area. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.A day in the lifeAs a Software Engineer, you will:- Identify and develop software solutions to current business problems- Work with your manager and team to create milestones and deliverables- Participate in daily scrums and reviews with development teams- Develop documentation and lead reviews with other engineers- Write code and unit tests and integrate code with other software and hardware components- Prototype and test concepts or features, both through simulation tools and emulators and with live robotic equipment- Work directly with customers to test software prototypes and incorporate feedback- Utilize Amazon Robotics and Amazon engineering tools, processes and technologiesBASIC QUALIFICATIONS- Programming experience with at least one modern language such as Java, C++, or C# including object-oriented design- Bachelor's degree in computer science related fields OR 1+ years equivalent experience in software development - Graduation date is before June 2025 ...

The Amazon Search Mission Understanding (SMU) team is at the forefront of revolutionizing the online shopping experience through the Amazon search page. Our ambition extends beyond facilitating a seamless shopping journey; we are committed to creating the next generation of intelligent shopping assistants. Leveraging cutting-edge Large Language Models (LLMs), we aim to redefine navigation and decision-making in e-commerce by deeply understanding our users' shopping missions, preferences, and goals. By developing responsive and scalable solutions, we not only accomplish the shopping mission but also foster unparalleled trust among our customers. Through our advanced technology, we generate valuable insights, providing a guided navigation system into various search missions, ensuring a comprehensive and holistic shopping experience. Our dedication to continuous improvement through constant measurement and enhancement of the shopper experience is crucial, as we strategically navigate the balance between immediate results and long-term business growth.We are seeking an Applied Scientist who is not just adept in the theoretical aspects of Machine Learning (ML), Artificial Intelligence (AI), and Large Language Models (LLMs) but also possesses a pragmatic, hands-on approach to navigating the complexities of innovation. The ideal candidate will have a profound expertise in developing, deploying, and contributing to the next-generation shopping search engine, including but not limited to Retrieval-Augmented Generation (RAG) models, specifically tailored towards enhancing the Rufus application—an integral part of our mission to revolutionize shopping assistance. You will take the lead in conceptualizing, building, and launching groundbreaking models that significantly improve our understanding of and capabilities in enhancing the search experience. A successful applicant will display a comprehensive skill set across machine learning model development, implementation, and optimization. This includes a strong foundation in data management, software engineering best practices, and a keen awareness of the latest developments in distributed systems technology. We are looking for individuals who are determined, analytically rigorous, passionate about applied sciences, creative, and possess strong logical reasoning abilities.Join the Search Mission Understanding team, a group of pioneering ML scientists and engineers dedicated to building core ML models and developing the infrastructure for model innovation. As part of Amazon Search, you will experience the dynamic, innovative culture of a startup, backed by the extensive resources of Amazon.com (AMZN), a global leader in internet services. Our collaborative, customer-centric work environment spans across our offices in Palo Alto, CA, and Seattle, WA, offering a unique blend of opportunities for professional growth and innovation.Key job responsibilitiesCollaborate with cross-functional teams to identify requirements for ML model development, focusing on enhancing mission understanding through innovative AI techniques, including retrieval-Augmented Generation or LLM in general.Design and implement scalable ML models capable of processing and analyzing large datasets to improve search and shopping experiences. Must have a strong background in machine learning, AI, or computational sciences.Lead the management and experiments of ML models at scale, applying advanced ML techniques to optimize science solution.Serve as a technical lead and liaison for ML projects, facilitating collaboration across teams and addressing technical challenges. Requires strong leadership and communication skills, with a PhD in Computer Science, Machine Learning, or a related field.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 ...

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

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 ...

Amazon is investing heavily in building a world class advertising business and developing a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses for 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.We are seeking a technical leader for our Supply Science team. This team is within the Sponsored Product team, and works on complex engineering, optimization, econometric, and user-experience problems in order to deliver relevant product ads on Amazon search and detail pages world-wide. The team operates with the dual objective of enhancing the experience of Amazon shoppers and enabling the monetization of our online and mobile page properties. Our work spans ML and Data science across predictive modeling, reinforcement learning (Bandits), adaptive experimentation, causal inference, data engineering.Key job responsibilitiesSearch Supply and Experiences, within Sponsored Products, is seeking an Applied Scientist to join a fast growing team with the mandate of creating new ads experience that elevates the shopping experience for our hundreds of millions customers worldwide. We are looking for a top analytical mind capable of understanding our complex ecosystem of advertisers participating in a pay-per-click model– and leveraging this knowledge to help turn the flywheel of the business.As an Applied Scientist on this team you will:--Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production.--Run A/B experiments, gather data, and perform statistical analysis.--Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.--Work closely with software engineers to assist in productionizing your ML models.--Research new machine learning approaches.A day in the lifeThe successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, and with an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the direction is a must.About the teamWe are a customer-obsessed team of engineers, technologists, product leaders, and scientists. We are focused on continuous exploration of contexts and creatives where advertising delivers value to customers and advertisers. We specifically work on new ads experiences globally with the goal of helping shoppers make the most informed purchase decision. We obsess about our customers and we are continuously innovating on their behalf to enrich their shopping experience on AmazonBASIC 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 ...

Are you a current MBA student who is ready to accelerate your career? The MBA Leadership Development Program (MLDP) hires, trains, and develops MBA graduate business talent within Amazon’s Stores organization. As a participant of this program, you will develop leadership skills and evolve into a leader at the world's most innovative company. By participating in Amazon's MBA Leadership Development Program, you'll have the chance to own a multi-million-dollar business, tackle unprecedented large-scale challenges with innovative solutions, and make decisions that influence the company's long-term free cash flow. This three-year initiative features multiple job rotations, incorporating functional job training, leadership workshops, mentorship and career advice, alongside exposure to an extensive network of peers, alumni, and leaders. MLDs spearhead important retail business strategies, deepen their comprehension of retail positions, and hone leadership skills necessary for managing sizable, intricate organizations.In a structured program, participants interact with senior leadership, gaining strategic insights and understanding decision-making aligned with long-term goals. This exposure bridges theory and practice, offering a comprehensive view of business operations. After 12 months, MLDs will prepare for rotation through career planning, interview prep, and networking events, which is supported through program benefits of 1:1 consultation, alumni insights, and MLD Program Team support.In this critical role within Amazon's MBA Leadership Development Program, you will navigate and resolve complex challenges, balancing immediate needs against future outcomes to streamline team operations and drive efficiency. Your strategic management of risks will not only enhance the resilience and growth of your category but also align vendor strategies with company objectives, utilizing market insights and feedback to maintain product relevance. Ideal candidates possess the ability to unravel the complexities at the root of problems, making informed strategic choices that safeguard long-term prosperity and mitigate risks within their categories. With the autonomy granted in this position, you'll enhance product assortments, negotiate effectively, and cultivate robust relationships with key selling partners, all while strategically managing risks. This role demands a combination of financial acumen, skilled negotiation, and strategic foresight in formulating joint business plans, all aimed at expanding categories and achieving overarching business goals.Key job responsibilities• Directly responsible for the sector's P&L, involving detailed financial analysis, audits, and handling escalations to drive growth and efficiency.• Utilizes deep financial insights for informed decision-making on pricing, selection, and customer convenience, enhancing business growth and satisfaction.• You address complex issues' root causes for long-term success and risk management, and seek opportunities to simplify or automate for scalable solutions.• Negotiates favorable terms with vendors, balancing strategic risk-taking with strong relationship maintenance to secure deals.• Influences vendor priorities to align with strategic objectives, using market trends and customer feedback to adapt offerings to evolving needs.A day in the lifeWhen MLDs are working as Senior Vendor Managers, they are responsible for owning the P&L. This consist of ongoing negotiations with vendors, creating action plans for top line and bottom-line growth, and driving growth and profit strategies. As Senior Product Managers, MLDs will be owning their products, creating roadmaps for launch plans, influencing leadership, and honing their document writing abilities. As a Senior Supply Chain Manager, MLDs will own the buying strategy for their vendor cohort, will work with internal teams to drive Supply Chain optimization initiatives, and work to drive cross functional buying strategies that marry the business’s needs with Amazon’s core initiatives. About the team• Roles for this position will be located at Amazon’s company headquarters in Seattle, WA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.• MLD roles in Seattle begin on July 21, 2025.• 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.BASIC QUALIFICATIONSAre 18 years of age or olderGraduated in the last 24 months or currently enrolled in MBA program at the time of application with anticipated graduation dates between December 1, 2024 and June 30, 2025.3+ years of full-time industry work experience, which occurred between graduation from your undergraduate program and prior to starting your MBA program, OR 3+ years of military work experience prior to starting your MBA program. ...

External job descriptionOur 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.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.Key job responsibilitiesKey Responsibilities and Job Elements:Support, mentor, and motivate your hourly workforceManage safety, quality, productivity, and customer delivery promisesCollaborate with all support teams including Safety, Engineering, Loss Prevention, Quality Assurance, Human Resources to develop plans to meet business objectivesLift up to 49 pounds and frequently push, pull, squat, bend, and reachStand/walk for up to 12 hours during shiftsWork in an environment where the noise level varies and can be loudWork 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)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 currently hold a valid and active USA state drivers license? ...

Take Earth's most customer-centric company. Mix in hundreds of millions of shoppers spending tens of billions of dollars annually, an exciting opportunity to build next-generation shopping experiences, Amazon’s tremendous computational resources, and our extensive e-Commerce experience. What do you get? The most exciting position in the industry.About our organization: Our team is part of Amazon’s Personalization organization, a high-performing group that leverages Amazon’s expertise in machine learning, big data, distributed systems, and user experience design to deliver the best shopping experiences for our customers. We run global experiments and our work has revolutionized e-commerce with features such as "Keep shopping for", "Tap to explore", “Customers who bought this item also bought”, and “Frequently bought together” among others. Amazon’s internal surveys regularly recognize us as one of the best engineering organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continual opportunity to learn and grow.You will play a critical role in ideation for the team. We are building the next generation ML systems that powers the biggest shopping engine on earth, and we hope you will join us!Key job responsibilitiesAs an Applied Scientist on the team you will be working on cutting edge ways to help customers find the right products and content on their shopping journey. Our goal is to help customers achieve their objective seamlessly while shopping on Amazon. We are investing in multiple fronts including but not limited to GenerativeAI, LLMs, transformers, sequence models, reinforcement learning. This is an opportunity to come in on Day0 and influence the science roadmap of one of the most interesting problem spaces at Amazon - understanding the Amazon customer to build deeply personalized and adaptive shopping experiences. We will be working on applying cutting edge science and research into production to elevate the customer experience. You will be part of a multidisciplinary team, working on one of the largest scale machine learning systems in the company. You will hone your skills in areas such as deep learning and reinforcement learning while building scalable industrial systems. As a member of a highly leveraged team of talented engineers and ML scientists, you will have a unique opportunity to help build infrastructure that accesses petabytes of data to produce and deliver models that deliver state of the art customer experiences. About the teamOur mission is to delight every Amazon customer with a consistent and adaptive personalized shopping experience. We achieve our mission through investments in large scale machine learning, distributed systems and user experience with the purpose of delivering the future of shopping on 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 ...

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 the Global Reliability Maintenance Engineering (RME) Central Team. We are a smart team of doers who work passionately to apply cutting edge advances in mechatronics and robotics, to solve real-world challenges that will transform our customers’ experiences in ways we can’t even image yet.The Amazon Technologies Portfolio (ATP) Team supports a suite of advanced robotics and mechatronics technologies deployed globally to fulfill and ship customer orders. The team is responsible for the lifecycle management of these products, distributed across five major categories: Robotic Work Cells, Pack Automation, Sortation Automation, Amazon Fulfillment Technologies, and Specialty Automation Technologies. In this role, you will work with a wide number of stakeholder teams, to maximize the performance, availability and quality of the technologies in the team’s portfolio. To accomplish so you will drive strategic partnerships with key stakeholders including Operations, field RME, Mechatronics and Sustainable Packaging (MSP), Process Engineering, Supply Chain, World-Wide Design and other RME Central Teams. Your will deliver robust lifecycle management approaches, that are scalable, reduce manual work and overall reduce the cost of ownership of these products. You will deliver this through the use of statistics and data analytics, structured problem solving (5-why’s, 8D, FMEA), implementation of global support mechanisms, system performance monitoring tools, identification and dissemination of best practices. In this role, you will develop and implement standard operating procedures, performance metrics, and feedback mechanisms to enable the maintenance programs for these assets to effectively scaleKey job responsibilitiesPartner with product development and support teams, and site level RME teams, to maximize the performance of advanced robotics and mechatronics systems.Develop and implement standard operating procedures, performance metrics, and feedback mechanisms for your team’s technologies. Develop metrics and proactive monitoring tools to measure the reliability and performance of advanced robotics systems as well as measure success of support mechanisms.Build an effective working relationship with key stakeholders and engineering leaders supporting Amazon OperationsIdentify, analyze and resolve reliability, availability and maintainability issues across the product suite.Partner with leaders and engineers in the MSP organization to deliver new and innovative products to the customer fulfillment network.Travel up to 25% of the time, to capture voice-of-the-customer and anecdotes first hand, and generate buy-in for initiatives.Write effective narratives and present them to Sr. Managers and Directors. This role requires experience developing and executing/delivering product and technical roadmaps in the field of automation and robotics. You should have experience working directly with automation and robotics engineering teams.BASIC QUALIFICATIONS• BS in Engineering (Mechanical, Electrical, Industrial, or related field) • Knowledge and/or working experience with statistical analysis tools, data visualization, and program management• 5+ years’ experience working with engineering teams. • Experience leading disciplined technical problem-solving. Demonstrated experience with 8D, 5-Why, Fishbone, and FMEA, among others.• Experience with written and oral communications skills for technical and non-technical audiences, with the ability to discuss complex technical issues with both technical and non-technical teams• Ability to manage multiple high-priority tasks simultaneously through delegation. ...

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.The Sponsored Brands Advertiser Control team is a versatile environment, with a wide variety of challenges. We guide advertisers to make informed decisions by sharing insights and forecasts. We help advertisers deliver effective campaigns automatically by optimizing bids and targets on behalf of them. We enable advertisers to achieve brand advertising goals with maximum efficiency. We look at mega size data from both retail and advertising space, and coming up with ML and DL based science solutions through multiple products. In this role you will: - Research and build innovative machine learning and deep learning models utilizing the latest technologies such as LLM to provide personalized targeting, real-time forecasting and simplify campaign creation and management- Develop optimization solutions to automate bidding , targeting and budgeting on behalf of advertisers - Perform hands-on big data analysis and modeling to develop insights that increase advertiser monetization and merchandise sales without compromising shopper experience. - Design and run A/B experiments that affect hundreds of millions of customers, evaluate the impact of your optimizations and communicate your results to various business stakeholders. - Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving. - Write production code to bring models into production. - Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production. - Work with scientists and economists to model the interaction between organic sales and sponsored content and to further evolve Amazon's marketplace.Why you love this opportunity Amazon is investing heavily in building a world-class advertising business. This team is responsible for defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate. Impact and Career Growth You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven fundamentally from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us BASIC QUALIFICATIONS- PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience- 5+ years of building models for business application experience- Experience programming in Java, C++, Python or related language ...

Join the team which delivers highly differentiated silicon into Blink and Ring battery powered devices. Our verification team works on state-of-the art SoCs in a vertically integrated team environment to deliver products our customers love. Our verification team is involved in early architectural and micro-architectural trade-offs to reduce time-to-revenue by shortening the DV cycle. Innovators will be delighted with our integrated verification/validation environment that is used to perform architectural modeling to post-silicon validation. The team works backwards from customer requirements to build super-low power, energy efficient designs that include the latest in AI, video processing, low power communications and CMOS fabrication technology. Key job responsibilities- Use and/or build bit accurate C models- Evaluate block and sub-systems for testability/verifiability - Write comprehensive block and system level testplans- Build assertions, traffic generators and scoreboards- Execute testplans and perform rigorous debugBASIC QUALIFICATIONS- Bachelor's degree in Electrical / Computer Engineering or related field- 5+ years experience in digital verification, preferably in image processor, SoC/Interfaces- 3+ years of experience in C/C++ and scripting (Python or TCL)- 5+ years experience in System Verilog or UVM ...

Are you interested in big data, machine learning, LLM, and product recommendations? If so, Amazon's Personalization team might be the right place for you. About our organization:We are part of Amazon’s Personalization organization, a high-performing group with a huge impact on hundreds of millions of customers, innovating at the intersection of customer experience, machine learning, and large-scale distributed systems. We run global experiments and our work has revolutionized e-commerce with features such as "Compare with similar items", "Keep shopping for ...", “Customers who bought this item also bought”, and, “Frequently bought together” among others.Amazon’s internal surveys regularly recognize us as one of the best organizations to work for in the company, with visible high-impact work, low operational load, respectful work-life balance, and continuous opportunity to learn and grow.About you:You are an Applied Scientist who loves big data and passionate about improving customer shopping experience by inventing and applying state-of-art technologies (e.g., LLM, Machine Learning, NLP, and Computer Vision) to build the next-generation product recommendation engine for Amazon. You have an entrepreneurial spirit, know how to deliver, are deeply technical and highly innovative. You work closely with software engineers to put algorithms into production. You also work in partnership with teams across Amazon to create enormous benefits for our customers. You will have an opportunity to make an enormous impact on the design, architecture, and implementation of cutting edge products used every day by people you know. Key job responsibilities- Use machine learning and analytical techniques to create scalable solutions for business problems- Analyze and extract relevant information from large amounts of Amazon's historical business data to help automate and optimize key processes- Design, development and evaluation of highly innovative models for predictive learning- Work closely with software engineering teams to drive model implementations and new feature creations- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation- Research and implement novel machine learning and statistical approaches- Mentor junior scientists; review their work and provide feedbackAbout the teamOur mission is to delight every Amazon customer with a personalized shopping experience. We achieve our mission through investments in large-scale machine learning and distributed system solutions with the purpose of delivering the future of shopping on Amazon. Our solutions help customers explore product categories, discover high quality products that meet their needs, and provide most relevant information to help customers make confident shopping decisions. We are seeking an Applied Scientist to make step function improvements in creating a delightful shopping experience.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience programming in Java, C++, Python or related language ...

Amazon Web Services (AWS) seeks a Senior Finance Analyst to join the Central FP&A team. The successful candidate will provide cross functional leadership across multiple teams and initiatives, and drive the overall Capex reporting for GenAI. This role will drive strategic initiatives to improve the quality and timelines of business insights provided to AWS and Amazon leadership, including ongoing efforts around existing process improvements. We are looking for a consummate Finance leader who can thrive in a fast-paced, highly ambiguous environment, and who exercises high standards and good judgment. The successful candidate has strong leadership skills and business acumen and is comfortable at influencing stakeholders at all levels of the organization.Key job responsibilities • Liaise across the AWS finance community to drive core financial processes including annual operating plans, monthly/quarterly business reviews and assessment of risks/opportunities, and month-end close.• Collaborate with teams to simplify, standardize, and automate Capex reporting processes and analytics.• Communicate financial metrics and business drivers to AWS and Amazon teams.• Enhance the existing legal entity forecasting process in cooperation with Treasury• Ensure compliance with finance and accounting controls and systems.• Lead and manage special projects, working cross-functionally with various AWS finance and business teams.• Foster constructive and proactive communication across organizational boundaries.About the teamThis role is part of the AWS Central FP&A team. We support AWS leaders and finance teams by coordinating and consolidating deliverables, centralizing and standardizing processes, establishing financial controls and mechanisms, building tools that improve the speed of decision making, and providing insightful financial analysis on the short and long term strategy of AWS.BASIC QUALIFICATIONS- 3+ years of tax, finance or a related analytical field experience- 4+ years of Accounts Receivable or Account Payable experience- 4+ years of applying key financial performance indicators (KPIs) to analyses experience- 4+ years of creating process improvements with automation and analysis experience- 4+ years of identifying, leading, and executing opportunities to improve, automate, standardize or simplify finance or business tools and processes experience- Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience- Six Sigma Black Belt- Experience with advanced use of SQL for data mining and business intelligence- Experience as a lean sensei, or experience working as a Quality Assurance Engineer ...

We are Amazon’s Finance Operations organization and responsible for Amazon’s strategic customers Payables and Receivables. We are responsible for making on-time, accurate payments, billings and collections on behalf of North America Retail. We are seeking an Accounts Receivable (AR) Analyst that will work directly with our customers, upstream billing, sales and finance teams to coordinate on time collection of revenue. You will l own the relationship with the customers and provide day to day support to enable timely payments. This position will lead efforts to dive deep into vendor payment data, drive process improvements, standardize processes, and eliminate root-cause defects within existing systems. By working together on behalf of our customers, we are building the future one innovative product, service, and idea at a time. Are you ready to embrace the challenge? Come build the future with us. Primary responsibilities:- Systemically intake, escalate, and triage customer payments (payables and billings), contacts, and issues and follow-through to resolution, including executive-level communication.- Recognize escalation trends and identify underlying defects and root causes.- Partner with and influence upstream and downstream teams- Meet or exceed monthly collections goals- Leverage data from numerous databases and internal tools (using Excel, SQL, or other data management systems) to perform reporting and analysis.- Communicate directly with customers to resolve invoice and billing discrepancies and ensure timely and accurate payment.- Work across US time zones as needed. Key job responsibilities- Single point of contact for all billing and collections related task for strategic Government and Commercial customers for AWS- Understand the end to end relationship with the customers and proactively manage past due balances- Create statement of accounts, communication plans, SOPs for specific customer accounts- Report collections related key metrics on daily, weekly and monthly basis- Create and share root cause analysis & write documents for dive deep sessions- Escalate to senior leadership key issues that could impact collections- Deliver on multiple data requests and participate in process improvement workshops- Manage highly ambiguous situations and communicate effectively with multiple stake holders This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.A day in the lifeThe Accounts Receivable Analyst is responsible to collect against a portfolio of accounts.Analysts are required to work to collect against past due and aged accounts; meeting or exceeding monthly collections goals. Performance on collections is the top metric for success in this position. Analysts are also expected to recommend process improvements, write documents explaining the health of assigned accounts, and build SOPs and training plans.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.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- 2+ years of tax, finance or a related analytical field experience- 4+ years’ experience with key performance indicators (KPIs) and applying them to analyses- Ability to communicate effectively with Senior Government Officials in a collections type role- Experience identifying, leading, and executing opportunities to improve, automate, standardize or simplify tools and processes- Current, active US Government Security Clearance of TS/SCI with Polygraph. ...

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 ...

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 these questions 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 in ways we can't even image yet. We invent new improvements every day.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.This role is a 6 month co-op to join AR full time (40 hours/week) from July to December 2025. Come join us in North Reading, MA, or in our newly expanded innovation hub in Westborough, MA!Amazon Robotics is seeking a talented and motivated electrical engineering student to assist with system design, implementation, and release to manufacturing. The ideal candidate will have had experience with and interest in electrical engineering concepts, circuit analysis, creating schematic designs, doing component research, and creating test procedures & reports.The Electrical Engineering Co-op will be responsible for:- Assisting an interdisciplinary team of engineers in the execution of product designs from concept to production including design, prototyping, validation, testing, and certification- Assisting in the architecture, design, and implementation of complex circuit designs.BASIC QUALIFICATIONS- Currently working towards a BS or MS in Electrical Engineering (or similar field) with at least one semester remaining of school after the completion of co-op- Must be eligible and available for a full-time (40h / week) 6-month co-op between July to December 2025.- Classroom and project experience in electrical and/or system level design ...

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.com strives to be Earth's most customer-centric company where people can find and discover anything they want to buy online. We hire the world's brightest minds, offering them a fast paced, technologically sophisticated and friendly work environment. Are you seeking an environment where you can drive innovation? Do you want to apply learning techniques and advanced mathematical modeling to solve real world problems? Do you want to play a key role in the future of Amazon's Retail business? This job for you! The Customer Behavior Analytics (CBA) team at Amazon is responsible for the architecture, design, implementation of tools used to understand customer behavior and value generation for all Amazon programs. Come and join us!Amazon’s CBA team is looking for Applied Scientists, who can work at the intersection of machine learning, statistics and economics; and leverage the power of big data to solve complex problems like long-term causal effect estimation.As an applied scientist, you will bring statistical modeling and machine learning advancements to analyze data and develop customer-facing solutions in complex industrial settings. You will be working in a fast-paced, cross-disciplinary team of researchers who are leaders in the field. You will take on challenging problems, distill real requirements, and then deliver solutions that either leverage existing academic and industrial research, or utilize your own out-of-the-box pragmatic thinking. This role requires a pragmatic technical leader comfortable with ambiguity, capable of summarizing complex data and models through clear visual and written explanations. The ideal candidate will have experience with machine learning models and causal inference. Additionally, we are seeking candidates with strong rigor in applied sciences and engineering, creativity, curiosity, and great judgment.Key job responsibilities- Understand and mine the large amount of data, prototype and implement new learning algorithms and prediction techniques to improve long-term causal estimation approaches.- Collaborate with product managers and engineering teams to design and implement solutions for Amazon problems- Design, build, and deploy effective and innovative ML solutions to improve various components of our ML and causal inference pipelines- Publish and present your work at internal and external scientific venues in the fields of ML and causal inference.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Knowledge of programming languages such as C/C++, Python, Java or Perl- Experience building machine learning models or developing algorithms for business application- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...