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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!We are looking for an accomplished and visionary machine learning expert to lead the Applied Science strategy for our Media Planning Science program. In this role, you will work closely with business leaders, stakeholders, and cross-functional teams to drive program success through ML-driven solutions. You will shape the applied science roadmap, promote a culture of data-driven decision-making, and deliver significant business impact using advanced data techniques and cutting-edge applied science methodologies.Key job responsibilitiesAs an Applied Scientist on this team, you will:- Serve as the technical leader in Machine Learning, guiding efforts within the team and collaborating with other teams.- Conduct hands-on analysis and modeling of large-scale data to generate insights that boost traffic monetization and merchandise sales while maintaining a positive shopper experience.- Lead end-to-end Machine Learning projects that involve high levels of ambiguity, scale, and complexity.- Build, experiment, optimize, and deploy machine learning models, collaborating with software engineers to bring your models into production.- Run A/B experiments, gather data, and perform statistical analysis to validate your models.- Develop scalable and automated processes for large-scale data analysis, model development, validation, and serving.- Explore and research innovative machine learning approaches to push the boundaries of what’s possible.About the teamThe Media Planning Science team builds and deploys models that provide insights and recommendations for media planning. Our mission is to assist advertisers in activating plans that align with their goals. Our insights and recommendations leverage heuristic and machine learning models to simplify the complex tasks of forecasting, outcome prediction, budget planning, optimized audience selection and measurements for media planners. We integrate our insights into user interfaces and programmatic integrations via APIs, ensuring reliable data, timely delivery, and optimal advertising outcomes for our advertisers. 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 Selling Partner Experience (SPX) organization strives to make Amazon the best place for Selling Partners to do business. The SPX Science team is building an AI-powered conversational assistant to transform the Selling Partner experience. The Selling Assistant is a trusted partner and a seasoned advisor that’s always available to enable our partners to thrive in Amazon’s stores. It takes away the cognitive load of selling on Amazon by providing a single interface to handle a diverse set of selling needs. The assistant always stays by the seller's side, talks to them in their language, enables them to capitalize on opportunities, and helps them accomplish their business goals with ease. It is powered by the cutting edge of Generative AI, going beyond a typical chatbot to provide a powerful, personalized experience to sellers running real businesses, large and small.Do you want to join an innovative team of scientists, engineers, product and program managers who use state-of-the-art Generative AI and Machine Learning technologies to help Amazon create a delightful Selling Partner experience? Do you want to build solutions to real business problems by automatically understanding and addressing sellers’ challenges, needs and opportunities? Are you excited by the prospect of contributing to one of Amazon’s most strategic Generative AI initiatives? If yes, then you may be a great fit to join the Selling Partner Experience Science team (SPeXSci).Key job responsibilities- Manage scientists who use state-of-the-art Machine Learning and Generative AI techniques to create the next generation of the tools that empower Amazon's Selling Partners to succeed.- Drive design, development and deployment of highly innovative models to interact with Sellers and delight them with solutions.- Work closely with teams of scientists and software engineers to drive real-time model implementations and deliver novel and highly impactful features.- Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.- Oversee research and implementation of novel machine learning and statistical approaches.- Participate in strategic initiatives to employ the most recent advances in ML in a fast-paced, experimental environment.About the teamSelling Partner Experience Science (SPeXSci) is a growing team of scientists, engineers and product leaders engaged in the research and development of the next generation of ML-driven technology to empower Amazon's Selling Partners to succeed. We draw from many science domains, from Natural Language Processing to Computer Vision to Optimization to Economics, to create solutions that seamlessly and automatically engage with Sellers, solve their problems, and help them grow. We are focused on building seller facing AI-powered tools using the latest science advancements to empower sellers to drive the growth of their business. We strive to radically simplify the seller experience, lowering the cognitive burden of selling on Amazon by making it easy to accomplish critical tasks such as launching new products, understanding and complying with Amazon’s policies and taking actions to grow their business.BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Experience directly managing scientists or machine learning engineers ...

AWS Industry Products (IP) is a new AWS engineering organization chartered to build new AWS products by applying Amazon’s innovation mechanisms along with AWS digital technologies to transform the world, industry by industry. We dive deep with leaders and innovators to solve the problems which block their industries, enabling them to capitalize on new digital business models. Simply put, our goal is to use the skill and scale of AWS to make the benefits of a connected world achievable for all businesses. We are looking for an Applied Scientist who are passionate about transforming industries through AI. This is a unique opportunity to not only listen to industry customers but also to develop AI and generative AI expertise in multiple core industries. You will join a team of scientists, product managers and software engineers that builds AI solutions in automotive, manufacturing, healthcare, sustainability/clean energy, and supply chain/operations domains. Leveraging and advancing generative AI technology will be a big part of your charter as we seek to apply the latest advancements in generative AI to industry-specific problems.Key job responsibilitiesUsing your in-depth expertise in machine learning and generative AI, you will deliver reusable science components and services that differentiate our industry products and solve customer problems. You will be the voice of scientific rigor, delivery, and innovation as you work with our segment teams on AI-driven product differentiators. You will conduct and advance research in AI and generative AI within and outside Amazon.About the teamDiverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team CultureAWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve. BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

The AWS Intelligence Initiative program is hiring cleared builders for a unique opportunity to work with some of the best and brightest engineers and technical leaders. Builders undergo an intensive 3-6 month training and development program to learn about operational culture, enhance their technical skills through a hands-on job path curriculum, to obtain a holistic view of our technology, dedicated mentorship, and support from our program’s alumni. We are seeking highly motivated builders who are focused on learning operational excellence and troubleshooting complex system operations, interested in building an understanding of Linux, networking and general knowledge of cloud services. Upon graduation from our program, builders grow into engineering roles as part of the AWS Region Reliability organization. Region Reliability is the cornerstone of continuous engineering improvement by driving efficiencies across AWS through innovation, automation, and operational excellence. This new organization was created to drive consistency in operational practices across AWS, reducing duplicative efforts and refining and accelerating operational excellence and best practices for AWS Amazon Dedicated Cloud Regions to provide a simpler experience for our customers and AWS Builders.In this role, you are able to take a defined set of tasks and execute it on schedule. You identify ineffective processes. You are learning to execute on well defined technical implementations following a Standard Operating Process and learning from more experienced builders around you. You will build a general understanding of operational risks and learn how to avoid taking unnecessary risks. After gaining technical experience you may begin to identify operational concerns and resolve or escalate concerns in a timely manner.This is an opportunity to operate and engineer systems on a massive scale, and to gain top-notch experience in cloud computing. You'll be surrounded by people who are smart, passionate about cloud computing, and believe that world class service is critical to customer success. You will become an AWS Services platform diagnosis, response, measurement, and automation expert. You will support and simplify the operational scalability that sustains the platform's insane growth. You will measure your success and it will be visible.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.10012Key job responsibilitiesThis position is perfect for you if you:- Would like to gain a deeper understanding of AWS service teams, capabilities, and functionality.- Regularly seek simple ways to approach complex issue or processes.You will have the opportunity to:- Explore the inner workings of AWS and how its services communicate.- Engage other AWS engineers world-wide to deploy, configure, and troubleshoot 150+ services.- Express your creative, innovative ideas to make our team even more awesome!- Provide invaluable support to the U.S. Intelligence Community.A day in the lifeAs an ADCE Associate, you will be learning how to play a crucial role in ensuring the smooth and efficient operation of our AWS infrastructure. Your primary responsibility will be to execute a defined set of operational tasks on a schedule, and learning how to identify any ineffective processes or technical implementations that may be hindering performance, availability, or maintainability. You will learn how to understand operational risks and avoid taking unnecessary risks. You will work with more senior engineers that identify operational concerns, and gain familiarity with how teams are responsible for resolving, mitigating, or escalating them in a timely manner. Supporting mission critical workloads involve being present in a Remote Managed Facility (RMF) 5 days a week to execute on your assigned tasks. Over time you will gain the ability to execute on narrow, well-defined workflow processes and become familiar with the application of available tooling. An ADCE Associate will learn to resolve most straightforward blockers by leveraging existing runbooks, and effectively communicate any issues that may arise to peers and leaders. On this team, you may also learn how to identify the root cause of issues and ways of how to provide feedback to workflow owners. You will grow into understanding strong operational and troubleshooting skills, as well as the ability to work independently on defined tasks and collaborate effectively with cross-functional teams.About the teamWhy AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why 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 Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONSExperience troubleshooting and debugging technical systems1+ year/s work experience requiring a security clearanceCurrent, active US Government Security Clearance of TS/SCI with Polygraph ...

AEE Science and AI team is focused on advancing customer experience on 1) Expansions: building the end-to-end Day0 search relevance models (ranking and matching) for new Amazon marketplaces, 2) Exports: improving the search relevance for cross-border (exports) customers, and 3) Emerging Markets Retail Efficiency related initiatives. We focus on algorithms and machine learning model developments, and optimize for recall (completeness) and precision (accuracy), measured through Spare Result Rate (SRR) and Irrelevant Result Rate (IRR) respectively. We are also leveraging Generative AI and LLMs to improve retail operations and reduce cost-to-serve.In this role, you will leverage your expertise in machine learning, information retrieval, and natural language processing to design, implement, and optimize ranking and matching algorithms that improve user experience and satisfaction. Key responsibilities include analyzing large datasets to identify patterns and insights, developing and fine-tuning models to improve search result relevance, and collaborating with cross-functional teams to integrate these models into our search systems. You will conduct experiments to evaluate model performance, utilizing A/B testing and other methodologies to ensure continuous improvement.The ideal candidate will possess a strong background in applied mathematics, computer science, or a related field, with experience in search technologies and a passion for solving complex problems. You will have the opportunity to make a significant impact on our product by driving advancements in search relevance that directly enhance user engagement and outcomes.Key job responsibilities1. Model Development: Design, implement, and refine machine learning models for ranking and matching to enhance search relevance and user satisfaction.2. Data Analysis: Analyze large datasets to extract insights, identify trends, and inform model improvements, ensuring data-driven decision-making.3. Algorithm Optimization: Continuously evaluate and optimize existing algorithms to improve search accuracy and performance through experimentation and iteration.4. Performance Evaluation: Conduct A/B testing and other evaluation methodologies to assess model effectiveness, drawing actionable conclusions to guide further development.5. Cross-Functional Collaboration: Work closely with product managers, engineers, and UX researchers to integrate search models into production systems and align with overall product goals.6. Research and Innovation: Stay current with advancements in machine learning, natural language processing, and information retrieval to drive innovation in search technologies.7. Reporting: Document methodologies, findings, and model performance metrics, and communicate results effectively to stakeholders at all levels.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- PhD in computer science, machine learning, engineering, or related fields ...

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. This role is a 6 month co-op to join AR full time (40 hours/week) from January to June 2025. Amazon Robotics co-op opportunities will be based in the Greater Boston Area, in our two state-of-the-art facilities in Westborough and North Reading, MA. Both campuses provide a unique opportunity for interns to have direct access to robotics testing labs and manufacturing facilities. In this role you will work closely with simulation engineers building virtual robotic worlds. You will bring these worlds to life while applying technologies such as Unity and Blender. You will be responsible for creating levels and art assets (2D and 3D) for a real-time graphics application. If this sounds exciting to you, please read on and apply! Current projects underway in hardware and software include autonomous movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive analytics, and much more.Responsibilities of the Technical Artist co-op may include:- Liaising between heads of programming and design teams- Researching and developing technical tools for a project- Setting up workflows of art production- Supporting artists and engineers in the 3D art pipeline- Assisting in asset performance and validation- Solving complex technical issues during development- Deciding on what software and tools are required for Digital Twin production- Developing and maintaining resources and pipelines along with programmers- Maintaining technical documentationBASIC QUALIFICATIONS- Enrolled in a degree program in Computer Science, Visual Effects, Graphic Art, Animation, or related field with at least one semester of school left after completion of co-op.- Must be eligible and available for a full-time (40h / week) 6-month co-op between January to June 2025- Substance Designer or substance painter- Experience with Maya, Houdini or Blender- Experience with Real-Time Photoreal shaders in any Game Engine- Good Understanding of PBR and MDL (Material Definition Language) ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun.Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas.Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.Must be eligible and available for a full-time (40h / week) 6-month co-op between January to June 2025 or July to December 2025 Travel amount is less than 10% a year.Key job responsibilities- Converting data into digestible business intelligence and actionable information- Design and develop highly available dashboards, perform business analysis and data queries using SQL, Python and other BI Tools- Working with large data sets, automate data extraction, and build monitoring/reporting dashboard- Story telling with Data and Visuals- Interacting with internal stakeholders to deep-dive outlier events- Analyze and solve business problems with focus on understanding root causes and driving forward-looking opportunities- Communicating complex analysis and insights to our stakeholders and business leaders, both verbally and in writing.- Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable formatBASIC QUALIFICATIONS- Knowledge of Tableau or Power Query- Knowledge of SQL- Work 40 hours a week throughout the course of a 10 weeks to a 6 months summer internship- Experience in Excel (macros, index, conditional list, arrays, pivots, lookups)- Are 18 years of age or older ...

Amazon Ads operates at the intersection of eCommerce and advertising, offering a rich array of advertising solutions. We partner with advertisers 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 devices. If you’re interested in joining a rapidly growing organization working to build a unique, world-class advertising group with a relentless focus on the customer, you’ve come to the right place.We’re looking for a results oriented Account Manager who is passionate about partnering with our advertisers, educating them and helping to solve ambiguous business problems, mitigating risks before they become roadblocks. As an Account Manager, you manage and deliver against complex advertiser goals and problems to drive revenue and achieve revenue targets. You nurture customer relationships and create revenue opportunities from the advertisers you own. You’ll not only dive deep into data to understand trends, but also communicate the “why” behind results and make actionable recommendations to internal and external stakeholders. Additionally, you’ll be able to leverage Amazon’s proprietary data to provide strategic and personalized recommendations, influencing both your internal team and your external customer to facilitate them reaching their business goals. This role is highly collaborative, working with Creative, Senior Sales, Product, and Retail partners and will drive process improvement to gain efficiency and foster collaboration. The Senior Account Manager’s strategic digital expertise and influence is considered critical to unlocking greater value and impact for our advertisers.Key job responsibilitiesResponsibilities• Become a knowledgeable partner on Amazon Advertising solutions• Develop annual brand and media strategies for growth based on overall advertiser goals/objectives• Develop campaign strategies and audience targeting recommendations per brand and product line• Evaluate KPIs and optimize campaign performance using a data driven approach• Perform in-depth data analysis to deliver actionable insights & recommendations that influence short term / long term digital media strategy• Educate advertisers on performance metrics, insights, and how to achieve greater results on Amazon• Work cross-functionally with sales and other Amazon partners to drive incremental revenue and increase advertiser satisfactionBASIC QUALIFICATIONS - 5+ years relevant experience in a client facing role including but not limited to digital marketing, analytics etc. - Experience in Omni-channel marketing, display, over-the-top (OTT), or search marketing - Adept at solving problems that span business and technology - Influence process improvement that scales broadly; inventing and simplifying within existing processes ...

Please note the following eligibility requirements to apply for this role:• Graduate from Bachelor's degree program between 12/2025 and 6/2026.• Ability to relocate nationwide. Relocation assistance provided, if eligible.• Ability to complete 12-week internship between May – August 2025.• We are unable to offer visa sponsorship for this role.For more information, please visit https://amazonundergradstudent.splashthat.com.Successful sourcers utilize their experience in setting benchmarks, forecasting and tracking against metrics, and prioritizing to hit customer goals. They thrive in an innovative, fast-paced environment, can roll up their sleeves, work hard, and have fun to get the job done. They draw on knowledge of Talent Acquisition and functional areas of the business, forging dynamic relationships with business leaders and hiring managers.Key job responsibilitiesCandidates must be able to successfully manage, prioritize, and fulfill job searches against a timeline and have experience setting benchmarks and metrics. They must understand how to prioritize and achieve SLAs. The best candidates will draw on knowledge of talent acquisition and tech roles and areas of the business, forging dynamic relationships with business leaders, hiring managers, and HR business partners. They have a reputation for being exceptional at candidate generation, client/account management, strong organizational skills, possess strong verbal and written communication skills, have an ability to prioritize their time, demonstrate a sense of urgency, and understand the value of providing amazing customer service. 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 ...

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 responsibilities- Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI).- Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs.- Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.About the teamIt's an exciting time to be a leader in AI research. In Amazon's AGI Information team, you can make your mark by improving information-driven experiences of Amazon customers worldwide. Your work will directly impact our customers in the form of products and services that make use of language and multimodal technology!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 ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? We apply advances in robotics and software to solve real-world problems that delight our customers' experiences in ways we can't even imagine yet. Amazon Robotics is the global front runner of robotics innovation. Our diverse team of engineers come from all over the world to design, test and build our dynamic fleet of robots and mechatronic systems. Current advancements are underway in robotic movement and mobility, artificial intelligence and machine learning, manipulation, simulation, robotic management software, predictive data, and much more. Amazon Robotics is seeking a talented and self-motivated Technical Support Engineer to work with the Advanced Robotics team to improve overall system efficiencies through the use of advanced technologies. The ideal candidate is excited to learn new things and willing to work through the details to get things done.We are seeking candidates who possess a blend of technical and customer-facing skills to successfully support the Amazon Robotic Fulfillment Systems solution. This job will require a unique combination of flexibility, troubleshooting, creativity, people management skills and drive. As part of this highly visible team candidates have the opportunity to work cross-functionally with multiple international teams within Amazon to contribute to the continuous innovation of the Robotic Fulfillment System.A successful candidate will have a consulting aptitude, ownership, incredible attention-to-detail, a passion and love for software and operational troubleshooting, customer-facing skills, and a desire to work within a group at the center of Amazon's Robotic Fulfillment System operations.Key job responsibilitiesThe right candidate will be inspired and motivated to do the following on a daily basis: - Support and foster a culture of inclusion- Manage technical projects with high attention to detail.- Maintain and/or create policies, procedures and processes when needed.- Proactively identify opportunities for long term and repeatable solutions. - Participate in hiring, training, and development of others.- Managing network systems (such as DNS, DHCP, SSL, OSI Model, and TCP/IP).- Windows, Mac or Linux Operating systems support and proactive maintenance - Responsible for on-call duties in a rotation with other team members- Frequently document known solutions in the form of knowledge base articles- Demonstrate a passion for learning new technologies and processes. A day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- Currently enrolled in College/University and must have at least one semester/term/quarter of school left to complete after the end of the co-op- Must be eligible and available for a full-time (40h / week) 6-month co-op between January-June 2025- 2+ years of software development, or 2+ years of technical support experience- 2+ years of managing technically complex large and small scale projects- 1+ years managing and supporting Windows, Linux and macOS operating environments- Own and drive Root Case Analysis (RCA) on complex system issues- Proven experience as lead technician supporting major or critical applications and systems ...

Are you a coder who loves to write? Do you want to have a profound impact on the future of Cloud Technology? The Technical Content Experience (TCX) team, also known as AWS Documentation, is looking for a programmer writer to support Amazon Glue, a scalable, serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development.You will need a technical background with experience writing technical documentation. You should also understand identity and access management concepts and have respect for security best practices. You should have a unique ability to think big and anticipate how customers will want to use AWS services together to deliver results.This is an opportunity to explain complex information concisely. The successful candidate will demonstrate a history of seamless interactions with software developers, technical product managers, developer advocates, customer representatives, and customers. This is a customer-obsessed, dynamic team of talented, geographically distributed, highly technical communicators. Join us on our journey to provide high-quality documentation and code examples to our customers.1002710028Key job responsibilities* Create and maintain technical content for Amazon Glue customers that is accurate, discoverable, and well-organized.* Work with metrics and stakeholders to make improvements to Amazon Glue documentation and UX to continually improves customer experience.* Develop scripts, sample code, and technical procedures that are easy to use.* Produce multi-service code examples that reflect common customer journey and usage patterns.* Develop and formalize working relationships and processes to ensure code examples in guides are up to date, run as expected, and have unit tests.* Develop and lead initiatives on the Code Examples team to improve code example delivery and publication mechanisms.* Provide thorough and insightful peer code reviews.* Mentor junior team members in team tools and processes, and provide guidance in how to create and publish code examples.* Implement efficiencies that increase team output.* Anticipate customer needs and be the "first customer".* Dive deep to become a subject-matter expert in your area of ownership.* Impact product CX, UX design, roadmap priorities, and engineering team goals.A day in the lifeOur team puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.About the teamThe AWS Documentation team writes and provides support for a diverse technical audience, such as developers, DevOps professionals, IT professionals, and technical program managers. On behalf of our customers, we innovate, we research, we learn, and we experiment. We collaborate with product managers to understand our customers’ needs. We partner with software developers to learn about the inner workings of AWS services so that we can influence product design and the customer experience with the product. We know that what we do makes a difference to our customers. We work and train together so that we are always learning from one another, and we celebrate and support the career progression of our team members.BASIC QUALIFICATIONS* Degree or certification in a relevant technical field or equivalent experience* A minimum of 5 years in a technical writing or programming role with high-quality written work artifacts* Proven experience designing and delivering developer-oriented documentation* Experience with or understanding of cloud computing, including cloud storage technologies* Experience with open-source libraries* Experience with API documentation* Experience working directly with software engineering and development teams* Strong written and verbal communication skills* Passion for learning new tools, programming languages, and techniques* Passion to thrive in a fast-paced, ever-changing environment* A proactive and open-minded attitude to resolving problems and delivering results ...

The Automated Reasoning Group is looking for a Applied Scientist with expertise in programming language semantics and deductive verification techniques (e.g. Lean, Dafny) to deliver novel code reasoning capabilities at scale. You will be part of a larger organization that develops a spectrum of formal software analysis tools and applies them to software at all levels of abstraction from assembler through high-level programming languages. You will work with a team of world class automated reasoning experts to deliver code reasoning technology that is accessible to all developers.About the teamWhy AWS?Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.Inclusive Team CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Diverse ExperiencesAWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.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- Experience in automated reasoning techniques, such as SAT/SMT, deductive verification. ...

Amazon Web Services (AWS) seeks a AR/O2C Program Lead (PL) as a member of the AWS Financial Operations (FinOps), Order-to-Cash (O2C) team. The Program Lead role will be responsible for influencing AWS cash flow by actively managing and improving the policies, processes and tools that drive the O2C work streams. Key job responsibilitiesThe Program Lead works with internal stakeholders and customers to identify highest added-value opportunities to drive free-cash flow and at the same time optimize customer experience. The role requires superior analytical skills and the ability to effectively communicate.A successful candidate will be eager to invent and simplify process, procedures and tools used to measure, analyze and report. They will be able to create or distill large ideas and transform them into projects, partnering with cross-functional teams. The candidate will also feel comfortable documenting and presenting new projects and strategies to senior leadership and secure their buy in.A day in the lifeDiving deep into nuances of AWS billing, cash collection and customer payment experience and creating the mid to long term vision for these areas will represent the bulk of your time. You will be a trusted advisor for different functions with Amazon AWS Finance Operations, but also Accounting, Finance, Sales and Customer Support teams. Your vision and bias for particular approach and solutions will prescribe the marching orders of various teams contributing to AWS cash flow management.About the team• Reporting and forecasting of FP&A responsibilities including financial analysis, forecasting, goal setting, modeling and monthly reporting• Work directly with business leaders and cross-functional teams to present results of ad hoc business and statistical analysis and recommendations to senior management for optimal decision making• Develop and automate reporting of key performance metrics and analysis to achieve business goals• Establish and advance policies/procedures to increase efficiencies and improve customer experience• Define, create, improve and maintain reporting methodologies using tools such as Excel and SQL.BASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- 5+ years of Accounts Receivable or Account Payable experience- 5+ years of applying key financial performance indicators (KPIs) to analyses experience- 5+ years of building financial and operational reports/data sets that inform business decision-making experience- 6+ years of creating process improvements with automation and analysis experience- 5+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science) ...

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.Amazon Web Services (AWS) offers a broad set of global compute, storage, database, analytics, application, and deployment services that help organizations move faster, lower IT costs, and scale applications. These services are trusted by the largest enterprises and the hottest start-ups to power a wide variety of workloads including web and mobile applications, data processing and warehousing, storage, archive, and many others.We are looking for an applied scientist to help us define and build a new enterprise application. AWS Applications is building services in Supply Chain Management and is looking for a scientist to tackle complex science problems in Supply Chain including demand planning, supply planning and sustainability which will be used by our customers across a wide range of industries.We operate a fast growing business and our journey has only started. Our mission is to build the most efficient and optimal supply chain software on the planet, using our science and technology as our biggest advantage. We aim to leverage cutting edge technologies in optimization, operations research, and machine learning to grow our businesses.As an Applied Scientist, you’ll design, model, develop and implement state-of-the-art models and solutions used by users worldwide. As part of your role you will regularly interact with software engineering teams and business leadership. The focus of this role is to research, develop, and deploy models to improve state-of-the-art for time series. You will have the opportunity to work on our assistant solution allowing our users to ask data questions in natural language and get intelligent insights and exceptions.Key job responsibilitiesLead and partner with the engineering to drive modeling and technical design for complex business problems.Develop accurate and scalable machine learning models to solve our hardest supply chain problems.Lead complex modeling analyses to aid management in making key business decisions and set product direction.A day in the lifeWhy 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- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 1+ years of programming in Java, C++, Python or related language experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience with neural deep learning methods and machine learning ...

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 fulfilment 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 is seeking a talented and motivated Mechanical Engineering student to join our Hardware Development Engineering team for a Co-op assignment. The candidate will have the opportunity work with senior engineering staff on existing and new and existing tools, mechanisms, modules and systems. The ideal candidate has strong mechanical aptitude, enjoys problem solving and can potentially handle multiple parallel tasks. This position reports to a Hardware Development Engineer on the Amazon Robotics team. This role is a 6 month co-op to join AR full time (40 hours/week) from January to June 2025. Amazon Robotics co-op opportunities will be based in the Greater Boston Area, in our two state-of-the-art facilities in Westborough and North Reading, MA. Both campuses provide a unique opportunity for interns to have direct access to robotics testing labs and manufacturing facilities.Co-op Responsibilities:-Supporting field failure investigations through the CAPA process, identifying and implementing corrective and preventive actions-Supporting the standard work of the Quality, Reliability and Failure analysis team-Statistical analysis of field performance data and KPIs-Hardware root cause analysis in the labKey job responsibilitiesIn this role you will support the quality and reliability of Amazon Robotics products deployed across Amazon’s global operations. Partnering with development teams to drive lessons learned into new product designs, you will conduct analysis of field failures to identify product risks. You will collaborate with internal teams and customers to prioritize opportunities for product improvement and drive corrective and preventative actions.A day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!BASIC QUALIFICATIONS- Must be currently enrolled in and pursuing a Bachelor's (or higher) in an engineering discipline such as Electrical Engineering, Mechanical Engineering, Industrial Engineering, or similar- Strong problem-solving and debugging experience related to hardware, software, subsystems, and firmware- Experience in testing electronics and/or electro-mechanical products in a lab setting- Proficiency with Minitab, Word, Excel, PowerPoint, Access- Must have at least one semester/term/quarter of school left to complete after the end of the co-op- Must be eligible and available for a full-time (40h / week) 6-month co-op between January - June 2025- Graduation is December 2025 or later ...

Advertising is one of the fastest growing areas at Amazon. Our Ad Tech suite of products — including Amazon DSP (ADSP), Amazon Marketing Cloud (AMC) and Amazon Ads APIs — allow our customers to leverage Amazon's unique media, audience, and e-commerce assets to drive meaningful results for their business.Ad Tech Solutions (ATS) is the technical solutions arm of our ad tech sales organization. ATS’ charter is to help our largest customers achieve their business outcomes with Amazon's Ad Tech, building on our APIs and AWS services. ATS is seeking a Technical Consultant to join our US practice. You will help customers to achieve their business outcomes by solving technical challenges related to conversion tracking, first party data uploads, API development, AMC SQL query customization, and building custom audiences. You will work closely with our Ad Tech Account Executives to accelerate customer adoption of DSP and AMC to increase their advertising ROI and drive more investment. You will help Data Analysts, Data Scientists, IT Analysts, and Developers in our customer organizations solve complex technical challenges so that their agency or brand can make better strategic advertising and data decisions. You will be able to assess and adapt our customers’ SQL skills to maximize their time and value in using our products. You’ll drive technical solutions discussions, diving deep into the details with customer teams. You’ll lead customer-tailored engagements, demonstrating the integrated value of AMC and DSP in combination with their AWS technology investments. You’ll also act as a technical thought leader in the ad tech community. This includes playing a lead role in educating, sharing best practices, writing white papers, and running "Working Backwards" sessions with customers. As a customer-obsessed advisor, you’ll also have the chance to shape the direction of our ad tech products and services by gathering feedback from customers and collaborating with our engineering and service teams.Key job responsibilities- In partnership with the ad tech sales team, educate customers on the value proposition of Amazon’s Ad Tech Suite and participate in deep technical discussions and design exercises to create world-class solutions built on Amazon’s Ad Tech and AWS platforms. - Lead data and analytics discussions and design customer workshops to become an expert on our customer’s technical needs and business goals.- Drive usage and adoption. Your customer engagements will result in our customers generating valuable insights that they can use to make smarter investments on – and off – Amazon media properties. You will continuously monitor the inputs you drive to measure the output of activation.- Be a customer advocate. You will take your learnings from customer engagements and work with Advertising engineering teams as input into integration and ad technology roadmaps.- Contribute to the creation and delivery of best practices, packaged offerings, certification paths, white papers, and workshops. - This is a customer facing role within the US region. You will be required to travel to client locations to deliver when needed.BASIC QUALIFICATIONS- Bachelor's degree, or 5+ years of professional or military experience- 5+ years of technical specialist, design and architecture experience- 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience- 5+ years of consulting, design and implementation of serverless distributed solutions experience- 3+ years of software development with object oriented language experience- 3+ years of cloud and on-premise integration experience- 3+ years of integration, testing and automation experience- 3+ years of continuous integration and continuous delivery (CI/CD) experience- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience- 5+ years of external or internal customer facing, complex and large scale project management experience ...

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, MABs. 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. We are seeking an Applied Scientist to work on step function science improvements to help achieve SOTA results and to help build new Personalization experiences for Amazon customers.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 ...

At Amazon, we are excited to offer graduate students the opportunity to launch into big careers with limitless possibilities. We know searching for an internship is as much about finding a company where you can picture yourself being successful as it is about finding the right role. We look forward to meeting you and your classmates this year. As we get to know you more, we invite you to get to know us better.Visit www.amazon.com/about to:• Learn more about our businesses by reviewing Press Releases on our Investor Relations site, Letter to Shareholders, and the first letter shared in 1997, which is included in our annual report each year.• Learn more about Amazonians and follow us on Facebook, Twitter and LinkedIn.• Learn more about our commitment to our communities, diversity and military veterans.• Learn more about our headquarters in Seattle as well as where we operate around the world.Sr. Program Manager (PGM):PGMs at Amazon act as internal consultants, designing and launching process and product improvements for diverse sets of business challenges. PGMs work to find solutions to complex problems within operations, supply chain, demand planning, logistics and innovate on leading edge solutions to manage programs broadly across businesses within Amazon. PGMs are given responsibility on their first day to own those business challenges and the autonomy to think strategically and make data driven decisions They drive efforts independently and as part of larger project teams, and have a significant impact on the customer experience and the business. PGMs are placed across lines of business at Amazon and work cross functionally. Examples of organizations where PGMs may work include: Amazon Web Services (AWS), Supply Chain, Procurement, Operations, Devices, Prime Video, Global Delivery, Consumer and more.Key job responsibilities- Manage full lifecycle of complex cross-functional programs with considerable impact across multiple organizations- Development of the overall program strategy, tactically driving teams in and outside of your organization to deliver- Report on objectives, analyze data and drive improvements that are quantified with metrics- Write high quality documents with customers, internal/external teams, and engineering teams to determine what projects move forward and in what priority order- Oversee gaps between teams, processes and systems, helping teams reduce exposure to classic failure modes (e.g., requirements not sufficiently understood or documented, ineffective cross-team collaboration, long-term impact(s) from third-party solutions, security not considered, insufficient stakeholder review, etc.)- Work with program managers and business leaders to communicate and impact critical business initiatives- Develop, implement, and govern KPI reporting for a portfolio of programs, providing visibility to the milestones, and performance across projectsAbout the team- Most roles for this position will be located at Amazon’s company headquarters in Seattle or Bellevue, WA. Successful applicants will be expected to relocate to their team location upon starting at Amazon.- Role and team placement are based on business needs and as Amazon continues to grow and flex, we are looking for candidates who want to own, build and impact the customer experience rather than are tied to a specific role or team. - For more information, please visit https://amazon.jobs/content/en/career-programs/university/mbaBASIC QUALIFICATIONS- Are 18 years of age or older- Graduated 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 Sept 30, 2025.- 3+ years of full-time industry work experience, which occurred between graduation from your undergraduate program and prior to starting your MBA or master’s program, OR 3+ years of military work experience prior to starting your MBA or master’s program. ...