Amazon.com Services LLC

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, a fast-growing startup passionate about building solutions, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech & retail in the B2B space, developing innovative purchasing and procurement solutions to help businesses and organizations thrive. At Amazon Business, we strive to be the most recognized and preferred strategic partner for smart business buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building the value of Amazon Business as we bring digital transformation to procurement for our Startup customers and empower smarter business buying. Key job responsibilities• Effective territory planning for engaging with customers and new prospect personas to drive adoption of Amazon Business, drive sales engagements, and hit revenue target • High activity and strategic prospecting into decision makers within territory to drive discovery meetings and identify selling opportunities• Balance selling through personas already engaged with Amazon Business with true net-new selling motions with executive decision makers currently not involved in deployment of Amazon Business • Accurately qualify opportunities through effective discovery, often multi-threading opportunities with separate discovery per decision making persona • Reliable and consistent pipeline management, including weekly reporting, proper staging of opportunities, updated notes, and sharing of learnings from engagements• Provide strategic account engagement that helps customers implement solutions that solve industry-specific procurement challenges. Builder mentality helping shape the future of how Amazon Business solves challenges specific to Startup customers in hypergrowth mode. • Strong executive presence, clear and effective communication (both verbal and written) as you will be primarily working with and reaching out to C-Suite, Owners, and Founders. • Relay market needs and requirements back to internal Amazon teams, including Product, Technical, and Category Management teamsA day in the lifeMix of existing account and new account maintenance/outreach. • 2+ customer facing meetings/day to support with any and all account related questions, while uncovering opportunities to grow our partnership through addressing their pain-points.• Responding to emails and following up on support tickets on behalf of our customers. • Heavy prospecting (phone, email, social media platforms) with the goal to book meetings to pitch AB as a solution for procurement needs. About the teamThe Amazon Business Startup team is dedicated to developing solutions inclusive of an expanded online store that combines the selection, convenience, and value customers have come to know and love from Amazon, with new features and unique benefits tailored to customers in the Hypergrowth/Startup sector. The ideal candidate will have excellent consultative selling skillset and experience, an ability to effectively navigate complex sales cycles, and a proven track record of meeting and exceeding quota and revenue targets. We are looking for an ambitious and strategic Account Executive that will be responsible for prospecting and winning new business. The candidate should display excellence in territory planning, prospecting, discovery and qualification, pipeline management, driving engagements to successful completion, and a history of exceeding sales targets. BASIC QUALIFICATIONS- BA/BS degree or equivalent work experience- 3+ years of B2B sales experience- Demonstrated track record of successfully identifying, developing, negotiating, and closing opportunities across a wide spectrum of customer engagement levels- Demonstrated track record of successfully positioning and selling solutions to new and existing customers and market segments ...

Amazon Ads 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 drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!The Bespoke Shopping Experience team within SP develops customer facing experiences and machine learning models to better understand and address the diverse needs and behaviors of various shopper cohorts. As an Applied Scientist on the team, you will:- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.- 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.- Research new and innovative machine learning approaches.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

About Amazon Advertising:Amazon Advertising operates at the intersection of eCommerce and advertising, offering a rich array of digital display advertising solutions with the goal of helping our customers find and discover anything they want to buy. We help advertisers of all types to reach Amazon customers on Amazon.com, across our other owned and operated sites, on other high quality sites across the web, and on millions of mobile devices. We start with the customer and work backwards in everything we do, including advertising. If you’re interested in joining a rapidly growing team working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.About our team:Our team, CreativeX optimizations, is responsible for tailoring the visual experience of ads to each context in real time. To accomplish this, we are investing in latent-diffusion models, large language models (LLM), reinforced learning (RL), Computer Vision, and related methods.Key job responsibilitiesWe are looking for talented Applied Scientists who are adept at a variety of skills, especially with reinforcement learning and recommendations, and familiarity with LLMs, latent diffusion, or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and bring cutting edge research to raise the bar within the team.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 Artificial General Intelligence (AGI) team is looking for a passionate, talented, and inventive Applied Scientist with a strong deep learning background, to build industry-leading Generative Artificial Intelligence (GenAI) technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs a Applied Scientist with the AGI team, you will work with talented peers to lead the development of novel algorithms and modeling techniques, to advance the state of the art with LLMs. Your work will directly impact our customers in the form of products and services that make use of speech and language technology. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in spoken language understanding.About the teamThe AGI team has a mission to push the envelope in GenAI with LLMs and multimodal systems, in order to provide the best-possible experience for our customers.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 1+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience with generative deep learning models applicable to the creation of synthetic humans like CNNs, GANs, VAEs and NF ...

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 ...

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 internship/co-op/full-time 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.Key job responsibilitiesAmazon Robotics Storage Technologies is looking for a Business Intelligence Engineer Co-op to analyze robotic systems, improve program dashboards, and to create data pipelines through AWS. A successful co-op candidate will use data and technology to seek improvements or find disruptions in current storage field operations. In addition, a successful team member seeks opportunities to deep dive issues & influence future decisions, automate and standardize tools & processes where needed. Candidates should have experience in business analytics, data science, data visualization, data engineering, and communicating analyses effectively. Amazon Robotics’ culture encourages innovation and expects co-ops to take a high level of ownership in all tasks.As a Business Intelligence Co-op you may:* Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs* Analyze historical data to gauge relative performance metric changes, highlighting causation. * Analyze data related to storage solutions to evaluate expected vs actual system performance and entitlement* Work with partner teams to onboard data from other Amazon data providers* Write queries to pull data and act as a thought partner through the design phase of CI & NPI solutions* Evaluate and observe data practices in your own work and throughout the team, always insisting on the highest standards* Recognize and implement best practices and automation opportunities for reporting and analysisAbout the teamThe Robotic Storage Technology BI, Analytics and Data Science team (RST-BAND) is comprised of data scientists and Business Intelligence Engineers who support data exploration and analysis to support Amazon Robotics (AR) fulfillment buildings and new product development. We conduct relevant, insightful analysis and communicate the results through white papers, dashboards, and presentations. Our methods include design of experiments, statistical modeling, financial analysis, data pipelining, exploratory data analysis, metric generation, and data visualization.BASIC QUALIFICATIONS- Currently enrolled in Bachelor's, Master’s degree or higher in the US in an analytically rigorous field (Mathematics, Data Science, Statistics, Computer Science, Industrial Engineering, Econometrics) or other equivalent discipline- Must be eligible and available for a full-time (40h / week) 5-6-month in-person internship in spring 2025- Experience building dashboards in Tableau or other relevant data visualization tool (Looker, PowerBI, Grafana, etc.)- Write high-quality and optimized SQL queries to retrieve datasets- Basic understanding of Python for exploratory data analysis and modeling- Ability to communicate analytic results effectively across stakeholder groups ...

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 ...

About Amazon HealthAmazon Health’s mission is to make it dramatically easier for customers to access the healthcare products and services they need to get and stay healthy. Towards this mission, we (Health Storefront and Shared Tech) are building the technology, products and services, that help customers find, buy, and engage with the healthcare solutions they need.Job summaryWe are seeking an exceptional Senior Applied Scientist to join a team of experts in the field of machine learning, and work together to break new ground in the world of healthcare to make personalized and empathetic care accessible, convenient, and cost-effective. We leverage and train state-of-the-art large-language-models (LLMs) and develop entirely new experiences to help customers find the right products and services to address their health needs. We work on machine learning problems for intent detection, dialogue systems, and information retrieval. You will work in a highly collaborative environment where you can pursue both near-term productization opportunities to make immediate, meaningful customer impacts while pursuing ambitious, long-term research. You will work on hard science problems that have not been solved before, conduct rapid prototyping to validate your hypothesis, and deploy your algorithmic ideas at scale. You will get the opportunity to pursue work that makes people's lives better and pushes the envelop of science.#everydaybetterKey job responsibilities- Translate product and CX requirements into science metrics and rigorous testing methodologies.- Invent and develop scalable methodologies to evaluate LLM outputs against metrics and guardrails.- Design and implement the best-in-class semantic retrieval system by creating high-quality knowledge base and optimizing embedding models and similarity measures.- Conduct tuning, training, and optimization of LLMs to achieve a compelling CX while reducing operational cost to be scalable.A day in the lifeIn a fast-paced innovation environment, you work closely with product, UX, and business teams to understand customer's challenges. You translate product and business requirements into science problems. You dive deep into challenging science problems, enabling entirely new ML and LLM-driven customer experiences. You identify hypothesis and conduct rapid prototyping to learn quickly. You develop and deploy models at scale to pursue productizations. You mentor junior science team members and help influence our org in scientific best practices.About the teamWe are the Health AI team at HST (Health Store and Technology). The team consists of exceptional ML Scientists with diverse background in healthcare, robotics, customer analytics, and communication. We are committed to building and deploying the most advanced scientific capabilities and solutions for the products and services at Amazon Health.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Do you want to create intelligent, adaptable robots with global impact? At Amazon Robotics, our collaborative team builds high-performance, real-time robotic systems that perceive, plan, and act intelligently alongside humans—at Amazon scale. Our mission is to enable robots to interact safely, efficiently, and fluently through the complex challenges of a company that sells everything, everywhere. 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. Our solutions enable robots to learn from their own experiences, from each other, and from humans to build intelligence that feeds itself.We are seeking an Applied Scientist to join our Motion Planning and Control team creating a fleet of manipulation robots at scale. You will apply the latest trends in research to solve real-world problems alongside a world-class team of experts in motion planning, computer vision, deep learning, intelligent control, and semi-supervised and unsupervised learning. We target high-impact algorithmic unlocks in areas such as scene and activity understanding, closed-loop control, robotic grasping, and manipulation in high-contact environments. Your contributions will drive the development and scaling of advanced robotic systems capable of handling complex, dynamic environments and transforming how robots interact with the world around them.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 robotics to significantly impact the lives of millions of consumers.Key job responsibilities- Research, design, implement and evaluate complex motion planning and control algorithms that improve the performance of systems deployed in real-world conditions.- Make development, deployment, and understanding the our robots' behaviors and performance faster and more intuitive for ourselves and our customers.- Work closely with software engineers to drive scalable, real-time implementations.- Collaborate with experts across disciplines including perception, hardware and software to create intelligent, integrated systems and solutions.- Represent Amazon in academia community through publications and scientific presentations.- Work with stakeholders across hardware, science, and operations teams to iterate on systems design and implementation.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- 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- Relevant industry or academic research experience in developing algorithms for robotic motion planning, perception, decision making, control and developing robotic systems. ...

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 ...

Alexa International Tech (AIT) team is looking for a passionate, talented, and inventive Applied Scientist to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems, requiring strong deep learning and generative models knowledge. Key job responsibilitiesAs an Applied Scientist with the AIT team, you will work with talented peers to develop novel algorithms and modeling techniques to advance the state of the art with LLMs. Your work will directly impact our international customers in the form of products and services that make use of digital assistance technology. You will leverage Amazon’s heterogeneous data sources, unique but diverse international customer nuances and large-scale computing resources to accelerate advances in voice domain in multi-modal setup. The ideal candidate possesses a solid understanding of machine learning fundamentals and a passion for pushing boundaries in this vast and quickly evolving field. They thrive in fast-paced environments to will tackle complex challenges, and excel at swiftly delivering impactful solutions while iterating based on user feedback. A day in the life· Analyze, understand, and model customer behavior and the customer experience based on large scale data. Especially showing passion towards solving for international customer-centric challenges.· Build novel online & offline evaluation metrics an methodologies for personal digital assistants and customer scenarios, on multi-modal devices.· innovate and deliver deep learning based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning.· Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing· Contribute through industry first research to drive the innovation forward. 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 ...

Amazon’s Modeling and Optimization (MOP) Team is looking for a passionate individual with strong optimization and analytical skills to join us in the endeavor of designing and improving the most complex transportation and fulfillment network in the world. The team is responsible for optimizing the global transportation and fulfillment network for Amazon.com and ensuring that the company is able to deliver our customers’ products to them as quickly, accurately, and cost effectively as possible. We design the network that delivers products from vendors and sellers to end customers, through both Amazon’s internal network as well as external partners, using multiple transportation modes. Optimizing the end-to-end network requires deep understanding of inventory management, placement, transportation, and supply chain management. Only through innovative and strategic thing, we will make the right capital investments in technology, buildings and equipment that allows for long-term success. Key job responsibilitiesWe are seeking an experienced scientist who has a solid background in Operations Research, Supply Chain Management, Applied Mathematics, or other similar domain. In this role, you will develop and deploy models and tools that are innovative and scalable to solve new challenges in Amazon's global fulfillment network. You will collaborate with other scientists across teams to create integrated solutions that improves fulfillment speed, cost, and carbon emission. You have deep understanding of business challenges and provide scientific analysis to support business decision using a range of methodologies. You design science tool platforms, deploy models, create data pipelines, or simplify existing processes.About the teamhttps://www.linkedin.com/feed/update/urn:li:activity:7089317294417346561/BASIC QUALIFICATIONS- PhD, or Master's degree and 3+ years of science, technology, engineering or related field experience- Experience programming in Java, C++, Python or related language- Experience building machine learning models or developing algorithms for business application- Experience implementing algorithms using both toolkits and self-developed code ...

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. Amazon One Medical is a primary care solution challenging the industry status quo by making quality care more affordable, accessible and enjoyable. But this isn’t your average doctor’s office. We’re on a mission to transform healthcare, which means improving the experience for everyone involved - from patients and providers to employers and health networks. Our seamless in-office and 24/7 virtual care services, on-site labs, and programs for preventive care, chronic care management, common illnesses and mental health concerns have been delighting people for the past fifteen years.This role within Amazon One Medical’s Accounting team will partner across finance, sales, customer success, tech, legal and business partners to lead management of various aspects of revenue recognition, accounting month-end close, controllership initiatives, and new projects. 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 the place where your career can flourish.The ideal candidate will have experience operating in a complex, high-growth stage, multi-disciplinary organization. The candidate will possess an ability to influence members of cross-functional teams to design, develop and deliver operationalization of complex accounting projects. The candidate will also have technical accounting experience and the ability to clearly present key accounting concepts to leadership. This person will have operated successfully in a fast-paced, and results-oriented environment. Strong oral and written communication skills are crucial, as well as ability to think clearly, analyze quantitatively, problem-solve, scope business requirements and prioritize.Key job responsibilities- Research and analyze technical revenue accounting guidance and writing technical accounting position papers.- End-to-end revenue process ownership to support accounting 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.BASIC QUALIFICATIONS- BA or BS in Finance, Accounting, Business, Economics, or a highly analytical field (e.g., Engineering, Math, Computer Science) and 5+ years of finance experience, or Master’s degree and 3+ years of finance experience ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!SB ResponseModel team's role is to support the prediction of Click Through Rates, View Rates, and Conversion Rates for Sponsored Brands. Our goal is to enhance advertising efficiency, improve the shopper experience, and promote SB product recognition. We collaborate with different teams across the Amazon Ads to build scalable online and offline ML infrastructure systems to accelerate science innovations, facilitate business growth and promote technology innovation.As an Applied Scientist on this team, you will:- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.- 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.- Research new and innovative machine learning approaches.- Recruit Applied Scientists to the team and provide mentorship.Impact and Career GrowthYou 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.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 ...

If you are excited about applying your science and engineering skills in business problems in the space of risk measurement, quantification, and mitigation, we invite you to consider this Applied Scientist opportunity within Amazon B2B Payment and Lending (ABPL).ABPL is seeking an Applied Scientist who combines their scientific and technical expertise with business intuition to build flexible, performant, and global solutions for complex financial and risk problems. You will develop and deploy production models to enhance our product features & processes that will delight our customers.Key job responsibilities- Apply advanced machine learning, deep learning and other analytical/scientific techniques to enable and improve Credit Management decisions- Source and assess various structured and unstructured data and leverage automated modeling framework to streamline data evaluation and integration- Spearhead leader to research and adopt State-of-the-Art AI/ML techniques and define the roadmap to revolutionize underwriting models leveraging adaptive modelling methods, Large Language Models(LLM), etc.- Bar-raising the design and implementation of production model pipelines(real time and batch) , lead design and code reviews to insist on high bar of engineering excellence and ensure high performance of the models- Collaborate effectively with Credit Strategy, Operations, Product, data and engineering teams. You will be advising and educating the leadership and stakeholders of the models and strategic decision making.- Understand business and product strategies, goals and objectives. Make recommendations for new techniques/strategies to improve customer outcomes.A day in the lifeAs an Applied Scientist, you will design and build systems that support financial products. You will work closely with business partners, software and data engineers to build and deploy scalable solutions that deliver exceptional value for our customers. You will utilize intellectual and technical capabilities, problem solving and analytical skills, and excellent communication to deliver customer value. You will partner with product and operations management to launch new, or improve existing, financial products within Amazon.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building machine learning models or developing algorithms for business application experience- Experience in solving business problems through machine learning, data mining and statistical algorithms- Experience programming in Java, C++, Python or related language- Experience in patents or publications at top-tier peer-reviewed conferences or journals ...

As part of the AWS Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.The Team: Amazon Go is a new kind of store with no lines and no checkout—you just grab and go! Customers simply use the Amazon Go app to enter the store, take what they want from our selection of fresh, delicious meals and grocery essentials, and go!Our checkout-free shopping experience is made possible by our Just Walk Out Technology, which automatically detects when products are taken from or returned to the shelves and keeps track of them in a virtual cart. When you’re done shopping, you can just leave the store. Shortly after, we’ll charge your Amazon account and send you a receipt. Check it out at amazon.com/go. Designed and custom-built by Amazonians, our Just Walk Out Technology uses a variety of technologies including computer vision, sensor fusion, and advanced machine learning. Innovation is part of our DNA! Our goal is to be Earths’ most customer centric company and we are just getting started. We need people who want to join an ambitious program that continues to push the state of the art in computer vision, machine learning, distributed systems and hardware design.The Role: Everyone on the team needs to be entrepreneurial, wear many hats and work in a highly collaborative environment that’s more startup than big company. We’ll need to tackle problems that span a variety of domains: computer vision, image recognition, machine learning, real-time and distributed systems. As a Machine Learning or Computer Vision Research Scientist, you will help solve a variety of technical challenges and mentor other engineers. You will tackle challenging, novel situations every day and given the size of this initiative, you’ll have the opportunity to work with multiple technical teams at Amazon in different locations. You should be comfortable with a degree of ambiguity that’s higher than most projects and relish the idea of solving problems that, frankly, haven’t been solved at scale before - anywhere. Along the way, we guarantee that you’ll learn a ton, have fun and make a positive impact on millions of people.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.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.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship 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.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 excited about developing AI/ML solutions to revolutionize robotics and automation? 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. The Research team at Amazon Robotics is seeking a passionate hands-on Applied Scientist to innovate in the field of planning for fleets of mobile robots. The focus of this position is optimizing movement in warehouses that feature thousands of robots in constant motion moving inventory around the building. Relevant research topics include planning and scheduling for multi robot systems, multi-agent path finding, and developing ML models to render fleet behavior adaptable to varying operating conditions. The work includes eliciting and addressing basic research questions from AR's rich application settings, running large-scale A/B tests on robots in our facilities, and collaborating with engineering teams to deploy solutions in our vast robot fleet.Key job responsibilities* Research vision - Where should we be focusing our efforts* Research delivery - Proving/dis-proving strategies in offline data or in simulation* Production studies - Insights from production data or ad-hoc experimentation* Production implementation - Building key parts of deployed algorithms or modelsA 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!About the teamYou would join our Movement Science team that includes scientists with backgrounds in planning and scheduling, machine learning, and robotics. We develop novel planning algorithms and machine learning methods and apply them to real-word robotic warehouses, including: - Planning and coordinating the paths of thousands of robots - Dynamic allocation and scheduling of tasks to thousands of robots - ML models that adapt system behavior to varying operating conditions - Co-design of layouts and the algorithms to optimize movement on themOur team is part the Research, Applied, and Data Science organization within Amazon Robotics, a hub to foster innovation and support scientists across Amazon Robotics.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience with any of the following (preferably in the context of multi-robot/multi-agent systems): automated planning, scheduling, heuristic search, deep learning, transformer-based models, foundation models, robotics ...

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 ...

Please note the following details and eligibility requirements to apply for this role:• Graduate from Bachelor's degree program between 12/2025 and 6/2026. • There will be two start dates for this internship (May 27 and June 9), which will be for a 12-week, consecutive period. • Location for this role is Bellevue, WA only. Relocation assistance provided, if eligible.• Ability to complete 12-week internship between May – August 2025.• Interns will be expected in the office 5 days per week. • We are unable to offer visa sponsorship for this role.Do you have a passion for aviation, transportation, or supply chain management, and want to leverage your program management and analytics skills to improve customer experience? If so, apply to Amazon Air, Amazon’s internal air cargo network operating a fleet of 90+ aircraft, as a Program Manager intern for the summer of 2025! During your 12-week internship, you will be placed on one of Amazon Air’s corporate teams to lead a complex, cross-functional aviation project related, but not limited to, Aviation Sourcing, Airport Affairs, Air Performance and Engineering, Labor Planning, Technical Operations, Network Planning, Safety and standardization initiatives. In addition to formulating a problem statement, analyzing data, and leading stakeholders through each project milestone, you will present a final six-page capstone with findings and recommendations to Air’s senior corporate leadership! The ideal candidate for this internship will be someone who is customer obsessed, earns trust with project stakeholders, insists on high standards and is ready to think big and innovate in the aviation/transportation space. The ideal candidate will also have strong written and oral communication skills as well as the ability to analyze data in excel and create dashboards/visualizations. Key Job Learning Opportunities • Learning about aviation, air-cargo, transportation, supply chains, e-commerce, and processes improvements • Developing a business case around a problem that exists today with the goal of actually implementing the project.• Project planning, program management and stakeholder management• Comprehensive and detailed writing • Presentation skills A Day in the Life Each day, you will work among teams at Amazon Air to dive deep into a specific project that will improve planning, operations, safety, efficiency and overall customer experience. The position is based in Bellevue, WA and you will have the opportunity to work in-person with the team you are on. You will have one-on-one meetings to get an in-depth knowledge of the area your project focuses on, and dive deep into collecting, analyzing and leveraging data to develop a final recommendation for your given project. About the Team We are a diverse, upbeat, creative, team of leaders working daily to develop innovative aviation solutions to ensure our customers can get ever faster deliveries, while ensuring our associates have the safest environment possible. Each team owns every aspect of their project, from review and iterative development, to the final implementation and benefit to our customers.BASIC QUALIFICATIONS- Are 18 years of age or older- Work 40 hours/week throughout the course of a 12-week summer internship between May through September- Currently enrolled in a bachelor’s degree program with a graduation conferral date between December 2025 and June 2026. ...

Are you passionate about driving growth and solving real-world logistics challenges? Join our team as an Account Manager II for Amazon Global Logistics, where you'll play a crucial role in expanding our Multi-Channel Distribution (MCD) product. You'll leverage your sales acumen and data-driven approach to identify new opportunities, streamline inefficiencies, and provide exceptional logistics support for our sellers.Key job responsibilities- Recruit and manage a diverse portfolio of Fulfilled by Amazon (FBA) sellers for MCD- Consult with sellers to understand their supply chain needs through solutions-based selling- Develop and execute pipeline management plans to meet or exceed sales targets- Gather and synthesize customer feedback to drive product improvements and innovation- Collaborate with cross-functional teams to align product strategy with business objectivesA day in the lifeAs an Account Manager II, you'll start your day by reviewing your seller portfolio and identifying key opportunities for growth. You'll engage in consultative conversations with sellers, understanding their unique challenges and proposing tailored MCD solutions. Throughout the day, you'll analyze data to inform your strategy, collaborate with the product team on improvements, and prepare for sales review meetings. Your role will be dynamic, requiring you to balance relationship management, strategic thinking, and operational execution.About the teamOur U.S. Account Management Team within Global Logistics is dedicated to scaling our global supply chain program for FBA sellers. Formed in 2020, we work closely with sellers to provide onboarding support, operational insights, and guidance on new and existing logistics products and services. Our mission is to help organizations lower total storage and distribution costs while staying in-stock across channels to increase sales. We're committed to delivering a logistics experience that sellers love and driving continuous innovation in the field.BASIC QUALIFICATIONS- Bachelor's degree or equivalent- 3+ years of experience in sales, account management, or customer-facing roles- 3+ years of program or project management experience.- Proven track record of meeting or exceeding sales targets- Experience with CRM systems and data analysis tools- Strong proficiency in Microsoft Office Suite, particularly Excel ...