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Amazon Business, Field Marketing Manager, Commercial Sector

Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space, developing innovative purchasing and procurement solutions to help businesses and organizations reimagine buying. Bring your insight, imagination and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes, unlocking our potential worldwide.As Field Marketing Manager, you will be responsible for increasing acquisition, adoption and engagement for Amazon Business Enterprise Solutions with senior decision makers in the Commercial Sector. You will partner closely with Sales and cross-functional Marketing teams to deliver strategic marketing programs including content, campaigns, events, and sales enablement. You will strategically plan and execute the most effective and efficient marketing mix to maximize marketing driven pipeline opportunity. To be successful in this role, you will work seamlessly with senior stakeholders in Amazon Business and pan-Amazon teams such as AWS to align and implement strategies. We are looking for an individual with broad experience in designing and delivering Integrated Marketing Campaigns. This includes expertise in field marketing motions like executive engagement programs, 3rd party trade shows, webinars and digital marketing. This role also requires skills in strategic thinking, relationship building, and problem solving. The individual will thrive in a fast-paced, deadline-driven environment, have impeccable attention to detail, and will have a track record of on-time delivery of projects. If you’re looking to join a dynamic, growing team in a high-impact role, then we can't wait to hear from you!Key job responsibilities • Deeply know and advocate for the customer: Who they are, their pain points, where and how we can reach them, and the value proposition that we can uniquely offer to delight them as we meet their needs. • Develop and execute Integrated Marketing Campaigns (IMCs) to reach and engage these senior decision makers.• Design and deliver field marketing motions like Executive Engagement Events, Webinars, Trade Shows/Conferences, Sponsorships and Email.• Manage relationships with internal Marketing, Sales, Finance, Operations, Sales Enablement, and Product stakeholders, as well as external agencies and partners.• Drive robust and detailed measurement and reporting processes.About the teamOur team vision is to establish Amazon Business as the most recognized and loved strategic partner for smart business buying for CPS (Commercial, Public, Strategic) organizations, globally.Our mission is to drive acquisition, activation, adoption, and engagement of Amazon Business to prospects and customers. Through tailored content and experiences, we demonstrate the value of Smart Business Buying across organizations of all sizes to accelerate progression across each stage of the CPS customer stage model. This role will lead marketing for the Travel & Hospitality vertical within the Commercial Sector. BASIC QUALIFICATIONS- 5+ years of professional non-internship marketing experience- Experience building and optimizing multiple, simultaneous marketing campaigns- Experience managing or working within cross-functional marketing and creative teams- Experience using data and metrics to drive improvements- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Field Marketing in B2B organizations- Bachelors Degree or equivalent ...

Amazon Robotics - Business Intelligence Engineer (BIE) Co-op (Robotic Storage Technology) - Spring 2025

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 ...

Applied Scientist II, Brand Identity

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:SPB Brand Identity Team is on a mission to make Amazon the best in class destination for all brand needs. Our team builds a centralized brand identity datastore responsible for creating brands, mapping advertisers, products, and ads to brands. This enables our advertisers and customers to tell engaging brand stories through mappings generated and delivered by our team. We also enables customer-brand engagement enhancement through a UI allowing advertisers to self-manage and correct any mappings. Together these mappings are used by dozens of internal teams to generate measurement reports, brand intelligence, similar brands (i.e. substitutes), shopper/brand signals, etc. About this Role:We are looking for a passionate, talented Applied Scientist in the field of Natural Language Processing (NLP), Large Language Model (LLM), Ads Recommender Systems, Data Mining and Feature Engineering, and/or Information Retrieval, to invent and build scalable solutions for a state-of-the-art context-aware Brand Understanding. A successful candidate will have strong machine learning background and a desire to push the boundary of one or more of the above areas. The ideal candidate is expected to leading the effort of building key ML features, contribute to the collaborative and innovative spirit within the team, and bring cutting-edge applied 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 3+ 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 ...

Applied Scientist - Motion Planning & Control, Amazon Robotics

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. ...

ADCE Associate, Region Reliability

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 QUALIFICATIONS- Experience troubleshooting and debugging technical systems- 1+ year/s work experience requiring a security clearance- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

Account Based Marketing Mngr, Global Enterprise Marketing

Amazon Web Services is seeking an analytical and results-focused individual to develop Account Based Marketing (ABM) Programs for top Enterprise customers. This role requires an individual with demonstrated experience in driving successful ABM programs, securing alignment with various cross-functional global sales and marketing stakeholders, and creating processes and resources that will enable our Field and Partner Marketing counterparts to execute ABM campaigns independently. The Account-Based Marketing Manager role will hold four main responsibilities. This includes driving short-term ABM at-scale pilots that deliver results and demonstrate impact, developing the long-term strategy for distinct cohorts of priority customers, and aligning with the Global Campaigns team to implement ABM programs at a Global scale. The Account-Based Marketing Manager will also be responsible for enabling and educating Field Marketing, Partner Marketing, and Sales teams to support and run ABM at-scale programs, as well as developing and managing an ABM response mechanism which helps open doors and accelerates deals with priority accounts. The successful individual in this role will be collaborative, passionate, customer-centric, and a data-driven ABM practitioner who knows how to leverage 3P/1P purchase intent signals, effectively report on program effectiveness, and apply insight and intuition to determine the right pivots in strategy, pilots, and plan. Position may be located in Seattle, San Francisco Bay Area, New York, or Austin, TX.Key job responsibilities• Lead 36-month Account-Based Marketing strategy for a subset of priority Enterprise customers.• Drive multi-channel (i.e. paid media, email, events, and sales outreach) ABM campaigns which leverage 1P and 3P account-based intent/interest signals, in coordination with cross-functional teams• Enable Field Marketing teams across Geos to apply scalable ABM programs to prioritized account sets, while providing ongoing support and guidance.• Manage external agencies to design, execute, and support ABM campaigns and tactics.• Work with other cross-functional marketing and sales teams to drive customer engagement and effectively report on results • Collaborate with marketing and sales operations to establish and improve marketing technology, process, and reporting capabilities which support a more account-based marketing approach.• Provide insightful inputs into regular inspection mechanisms (i.e. Weekly/Monthly/Quarterly Business Reviews) while ensuring we are meeting program milestones and providing stakeholders/leadership visibility into program success and/or learnings. 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.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Inclusive Team 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 & 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- 6+ years of professional non-internship marketing experience- Experience using data and metrics to drive improvements- Experience with Excel or Tableau (data manipulation, macros, charts and pivot tables)- Experience building, executing and scaling cross-functional marketing programs- Experience communicating results to senior leadership ...

ADC Engineer I, Amazon Dedicated Cloud Engineering - Support Engineering

Would you like to implement innovative cloud computing solutions and solve the world's most complex technical problems? Do you have a deep passion and desire to engineer and operate the world's largest cloud computing infrastructure to build a better world for future generations?This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Government agencies implement innovative cloud computing solutions and solve technical problems.AWS established a specialized group of service teams responsible for the work we are doing with the U.S. Intelligence Community. We are building some of the largest and most complex distributed systems in the world, and we need adaptable people to help us implement and operate them. The AWS Intelligence team is seeking highly motivated engineers who are focused on operational excellence and troubleshooting complex system operations, have a good understanding of Linux, networking and general knowledge of cloud services. We need engineers who understand how to think big, and simplify solutions to complex problems; all the while ensuring that our customers continue to have the best experience possible. In this role, you are able to take a defined set of tasks and execute it on schedule. You identify ineffective processes. You may identify when technical implementations have defects or are not highly available, performant, or maintainable. You understand operational risk and avoid taking unnecessary risks. You identify operational concerns and resolve, mitigate, or escalate the concerns in a timely manner.This is a shift work position. This team works 24/7 operations, and may require you to work some nights and/or weekends.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.A day in the lifeOn a typical day, our engineers may dive deep to find the root cause of a customer issue, investigate why a metric is trending in the wrong direction, or discuss radical new approaches to automate operational processes. As a member of our team you will join a dedicated group of engineers who provide troubleshooting and operations support, and innovate to automate operational tasks.About the teamAbout UsInclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.Work/Life BalanceOur team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.BASIC QUALIFICATIONS- High school or equivalent diploma, or A+ or CND (Certified Network Defender) or Network+ or Security+- 1-3 years of experience with Systems Administration in Linux/Unix (Ubuntu, CentOS, RedHat, Solaris, etc.)- 1-3 years of experience with Networking (TCP/IP, DNS)- 1-3 years of experience with Troubleshooting / Support for technical IT issues- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

Amazon Robotics - Manufacturing Engineer Co-Op - Spring 2025, Robotics Technical Operations

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.This role is a 6 month co op to join AR full time (40 hours/week) from January thru June 2025. 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.The Manufacturing Engineer Co-op will be responsible for delivering and supporting operations and production projects by partnering with Amazon Robotics Tech Ops Engineering process owners and other cross-functional team members. This Co-op will be responsible for: - Creating mechanisms, processes, and/or documentation to improve material approval process or production floor operations - Gather, analyze and document functional/technical requirements for new projects, enhancements to existing solutions and production issues reported by end users - Drive resolutions within supply chain network and address manufacturability, production or design issues - Propose design changes that will enhance product manufacturability and testability - Qualify supplier production processes based on dimensional data, control plans, PFMEAs - Design and implement into production manufacturing tools and fixturesA 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- Are enrolled in a co-op program at your university- Are 18 years of age or older ...

Amazon Robotics - Systems Engineer Co-op - Spring & Fall 2025

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.Must be eligible and available for a full-time (40h / week) 6-month internship between January 2025 to June 2025 or July 2025 to December 2025Within Amazon Robotics, the Robotics Deployment Engineering team oversees the installation, troubleshooting, and commissioning of Amazon Robotics equipment within new and existing fulfillment centers. This field engineering-based role requires technical skills related to the deployment of robotic equipment including work with mechanical, electrical, networking, and software systems during a deployment. Training is provided on the specific systems that the engineers will be working on, though candidates should possess existing knowledge on the basic operations of robotics and networked mechanical and electrical systems prior to taking the position.The robotics systems that the Deployment Engineering Co-Op will be deploying may be in various phases of a product life cycle. The candidate will be expected to work to develop process documentation and modify the existing processes in partnership with project and program managers to drive business performance and sustainability. Proven technical knowledge, a love of field work, and a keen interest in diving deep into the workings of the many robotics systems that Amazon uses are critical to success in this role.This position requires up to 75% travel. Valid US drivers license required.BASIC QUALIFICATIONS- Currently enrolled in college/university working towards a BS degree in Engineering of closely related STEM field 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) 3-month internship between May/June 2025 to July/August 2025.- Experience working on mechanical, electrical, IT networked, or software systems. - Understanding of data collection, reporting processes, and ability to make data-driven decisions. - Ability to read technical drawings and/or reading CAD models. - Ability to troubleshoot robotics systems, perform testing, monitoring robotics system performance, etc. - Ability to read and develop technical documentation and process instructions. - Willingness to work primarily in a construction or warehouse environment in a field-based role and travel extensively across the US. - Must be proficient in standard office software tools and processes. ...

2025 Construction Manager Intern

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 FAQs, please visit: https://amazon.jobs/content/en/faq/university-talentDuring your 10-12-week period as a Construction Manager Intern, you will be working with and learning side by side from Amazon’s customer obsessed leaders in construction. In this role, you may support in the implementation of the facility network infrastructure, including new builds, retrofits and expansion. You will learn how to partner with internal customers and external stakeholders to earn their trust and engage as a team to deliver results. Some key competencies of the Amazon construction process that will provide learning opportunities include; insisting on the highest standards, supporting the team to ensure that contracted resources deliver work meeting duration and quality targets, thinking big (seeking better ways to serve your customers), influencing internal stakeholders while holding them accountable for their actions, supporting construction managers to ensure all job internal and external team members are on point and maintaining schedules and budgets, helping to invent and simplify innovative solutions that allow for improved processes and results, and supporting more than one project in various locations. This internship opportunity provides for the familiarization of construction, engineering, planning, project management, facilities management, and contract management. The Construction Manager Intern position may include travel to project sites. Key Job Learning Opportunities• Observing the implementation and management of Amazon’s safety programs and standards with the entire internal and external project team. • Supporting the construction team to ensure that the skills and competencies of contract labor are appropriate to need and fit to undertake the work. • Witnessing comprehensive budget, schedule tracking and forecasting which strives for frugality and accomplishing more with less while identifying and solving factors that may impede a successful project hand-over to Amazon stakeholders. • Studying the coordination with the authorities that have jurisdiction (AHJ) on the project to ensure regulatory compliance and smooth job execution.A Day in the LifeEach day you will be observing Amazon Construction Managers act as owner to ensure the safe on-time and in-budget execution of Amazon construction projects. You may be asked to participate in the daily tasks in support of the team which may be comprised of coordinating with contractors on projected changes and project status, ensuring contractors are meeting their contractual obligations, seeking sustainable environmentally friendly solutions throughout the construction process while implementing Amazon’s building environmentally friendly practices, and utilizing the Amazon information systems to record and update scheduling, budget, and other key developments. You may see and may be asked to assist in negotiating terms of contracts with contractors all the while driving contractors to meet or exceed agreed-to schedules and budgets. Additionally, you will observe and may participate in weekly architect, owner and contractor (AOC) meetings providing input on root causes and corrective action. About the TeamAt Amazon, we are all Owners and leverage unique opportunities presented to us by owning everything through design review, construction bidding, construction execution, and final hand-off to our customers. We are a diverse, upbeat, creative, team of engineers and managers working daily to develop the innovative physical assets our Customers expect and striving to be the Earth’s best employer. BASIC QUALIFICATIONS• Currently enrolled in and actively pursuing an accredited bachelor’s degree in Engineering, Construction Management or comparable field with graduation between December 2025 and June of 2026. • Able to work 40 hours a week throughout the course of a 10-12-week summer internship between May through September 2025. ...

Applied Scientist - Optimization & Decision Sciences, Cognitive Science Team

Are you excited about using decision (optimization), data (ML) and automation (AI) sciences to make multi-million dollar decisions more Data, Science, Analytics and Smart Technology Driven? Are you interested in price optimization, promotion planning and what-if simulations for to enable multi-scenario based in-period promotion and long-term financial planning? Do you want to be a part of a multi disciplinary science team focuses on tackling some of the big business problems with within the Devices business at Amazon? Then this could be the role for you!The Amazon Devices & Services, Demand Science Optimization team is seeking an outstanding scientist with strong analytical and communication skills to help with pricing optimization and promotion planning for the entire Amazon device family of products and services. Amazon Devices represents a highly complex space with 100+ products across several product categories that includes Echo, Kindle, Fire Tablets, Amazon TVs, Amazon Fire TV sticks, Ring, and other smart home devices for sale both online and in offline retailers globally.We develop scalable and robust state-of-the-art deterministic and stochastic optimization models and algorithms, and what-if scenario planning simulation tools with (linear and dynamic) price optimization and promotion planning. We also build HOTW recommendation and decisions systems to deliver these results for our internal customers decision making processes. With better price optimization and promotion planning, we manage demand and drive down promotion and supply chain costs, enabling the offer of lower prices and better in-stock selection for our customers globally.We are looking for an Applied Scientist with background in Operations Research, Optimization, Supply Chain, Industrial & Systems Engineering, Simulation, Recommendation Systems and Decision Making Systems.In this role, you will have an opportunity to both develop advanced scientific solutions, and drive critical customer and business impacts. You will play a key role to drive end-to-end solutions from understanding our business requirements, exploring a large amount of historical data, building, managing and improving optimization, simulation and HOTW decision models, building prototypes and products, and exploring conceptually new solutions, to working with partner teams for prod deployment that will be used primarily for Promotion Optimization and Scenario Planning Capabilities for in-period promotion, and long-term financial planning. You will collaborate closely with scientists, engineering peers as well as business stakeholders. You will be at the heart of a growing and exciting focus area for Amazon Devices and Services.You are an individual with outstanding analytical abilities, excellent communication skills, and are comfortable working with cross-functional teams and systems. You will be responsible for researching, prototyping, experimenting, analyzing prescriptive optimization models and developing smart automation solutions.Key job responsibilities- Research, design, prototype, experiment and implement advanced optimization algorithms and models to address challenging business problems by using modeling languages such as Python; participate in the production level deployment- Collaborate with cross-functional teams including product management, marketing, and operations to translate model insights into actionable business strategies- Develop and maintain optimization frameworks, libraries, and tools to enable scalable and efficient optimization and automation capabilities - Analyze optimization results, identify bottlenecks, and continuously improve the performance and accuracy of optimization models - Stay up-to-date on the latest academic research and industry best practices in optimization techniques and tools, and identify opportunities to apply new approaches- Create and track accuracy and performance metrics (both technical and business metrics)- Create, enhance, and maintain technical documentation, and present to other scientists, engineers and business leaders- Drive best practices on the team; mentor and guide junior members to achieve their career growth potentialA day in the lifeOur team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.About the teamThe vision for Cognitive Science Team is to deliver science-enabled HOTW demand planning and shaping solutions for Devices Product Lines to support our partners’ decision making processes. We will accomplish our vision by (1) utilizing accelerated applied science with optimization, simulation, scenario planning, Machine Learning and Generative AI (in 2025), (2) performing rapid research & innovation, developing incremental products, and automating processes, (3) developing optimized price and promotion planning, (4) developing high confidence long-lead time marquee unit demand forecasts for Amazon Devices.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- Experience in optimization: linear, non-linear, mixed-integer, large-scale, network, robust, stochastic and/or dynamic ...

Amazon Fresh Grocery Associate - Plainview, NY

Work Address: 50 Manetto Hill Rd, Plainview, NY, 11803  Pay Rate: $17.45 per hour Availability Requirements: Shift availability is dependent on operational needs. ...

Amazon Payments Finance Manager, Amazon Payments - B2B Payments & Lending

At Amazon, we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to make history. Entering the business to business (B2B) market is one of Amazon’s most exciting growth opportunities and since launching in 2015, The B2B Payments team is focused on building tailored payment products that enable AB’s customers to enjoy a seamless purchasing experience. We are growing fast and require a talented finance professional to help us scale as we are launching a number of exciting new products and services. B2B Payments Finance offers a rich learning experience and an opportunity to develop professionally. We are a young business that will challenge you to weigh in on decisions that have long-term strategic importance, and to produce insightful analytics that help us accelerate growth. You will work closely with business partners and get exposure to senior leaders while you become a subject matter expert. We are looking for an individual who can influence business partners to drive results and who welcomes the challenge of building structure while supporting high growth in a fledgling organization with senior management visibility. This role has a matrix report based in Bangalore and is ideal for someone looking to gain people responsibility/ grow their management experience. The person in this role is responsible for long and short term financial planning, controllership, developing and reporting on weekly financial and operational performance metrics, and providing analytical support for the AB Payments team. This position will be a key risk/controllership gateway for the payments business and requires a candidate with strong communication and leadership skills. A portion of the time will be spent on ad hoc analysis to support the growing business’ needs. The B2B Payments Finance team works closely with a number of other finance and business teams, so any candidate should be able to work well with cross functional teams. The ideal candidate must have superior attention to detail and the ability to successfully manage multiple competing priorities simultaneously. Strong analytical skills are required.Ideal candidates will have the following strengths: - Comfortable working independently in a fast-paced environment - The ability to translate large amounts of data into useful information and actionable conclusions - Strong written and oral communication skills combined with the ability to meet tight deadlines and prioritize workloads - An understanding of finance issues in an operational environment of rapid growth - The ability to work cross-functionally with product, operations, marketing and BI teams - Solid business judgment and controllership focus - Strong financial modelling skills, including good knowledge of SQL and excellent knowledge of Microsoft ExcelBASIC QUALIFICATIONS- 5+ years of tax, finance or a related analytical field experience- Bachelor's degree in engineering, statistics or business, or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience ...

Accounting Manager, Accounting

Amazon has an immediate opening for an Accounting Manager to join our Lease Accounting Finance and Business Integration team. This position supports and can directly influence the launches of Amazon’s global business initiatives related to process automation and transformation in the Worldwide Leasing space. This leader will work closely with the global Accounting Operations, Finance, Tax, Lease Administration, Business and Financial Systems teams driving lease transactions and will represent Accounting to various stakeholders. In this role, the candidate will be part of a team that collaborates with business, finance and technical teams to deliver world class solutions that are highly scalable, secure, and flexible. This person will have operated successfully in a fast-paced, global, 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.Successful candidates will have a thorough experience with ASC 842 Lease Accounting, financial processes, financial account reconciliations, project management, accounting requirements documentation, process design, and user acceptance testing responsibilities. Demonstrated experience in leading teams to accomplish unusually complex challenges is expected as this is an ongoing requirement for this position. Key job responsibilities- Owns and manages the lifecycle of a high impact, complex and cross-functional program where the business problem and program strategy may not be well defined. - Identify and drive implementation of process and technology improvements that can be leveraged globally within the lease accounting organization.- Serve as the subject matter expert (SME) for, and represent, lease accounting functions with teams across the organization.- Own delivery of accounting requirement documentation.- Execution of user acceptance testing.BASIC QUALIFICATIONS- 5+ years of finance or a related analytical field experience- Bachelor's degree in accounting or related field ...

Applied Science Manager, AGI Information

We are looking for a leader of an R&D team in cutting-edge LLM technologies for applications across Alexa, AWS, and other Amazon businesses. In this role, you will innovate in the fastest-moving fields of current AI research, in particular in how to integrate a broad range of structured and unstructured information into AI systems (e.g. with RAG techniques), and get to immediately apply your results in highly visible Amazon products. If you are deeply familiar with LLMs, natural language processing, and machine learning and have experience managing high-performing research teams, this may be the right opportunity for you. Our fast-paced environment requires a high degree of independence in making decisions and driving ambitious research agendas all the way to production. You will work with other science and engineering teams as well as business stakeholders to maximize velocity and impact of your team's contributions.It'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 experience of Amazon customers worldwide!BASIC QUALIFICATIONS- 3+ years of scientists or machine learning engineers management experience- Knowledge of ML, NLP, Information Retrieval and Analytics- Master's degree ...

Applied Science Manager, SPX AI Lab

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 ...

Applied Scientist

At Audible, we believe stories have the power to transform lives. It’s why we work with some of the world’s leading creators to produce and share audio storytelling with our millions of global listeners. We are dreamers and inventors who come from a wide range of backgrounds and experiences to empower and inspire each other. Imagine your future with us.ABOUT THIS ROLEIn this role, you'll employ scalable cutting-edge machine learning (ML), deep learning (DL), and Natural Language Processing (NLP) techniques to detect and predict fraudulent activities, enhance fraud investigation capabilities, and develop advanced fraud protection and defense mechanisms. You'll leverage these technologies to analyze complex patterns in transaction data, identify anomalies, and create predictive models that can anticipate potential fraud before it occurs. Your work will be crucial in safeguarding the company's assets, protecting customers from financial harm, and maintaining the integrity of our systems. You'll translate intricate fraud patterns into actionable insights, enabling rapid response to emerging threats and informing critical business decisions related to risk management. You'll operate in an agile environment in which we own and collaborate on the life cycle of research, design, and model development of relevant projects.As an Applied Scientist, you will...- Protect Audible’s customers and content creators against the onslaught of AI-generated fraud- Develop Amazon-scale data engineering & modeling pipelines- Imagine and invent before the business asks, and create groundbreaking fraud detection and mitigation solutions using cutting-edge approaches- Work closely with other data scientists, ML experts, engineers as well as business across the globe, and on cross-disciplinary efforts with other scientists within Amazon- Contribute to the growth of the Audible Data Science team by sharing your ideas, intellectual property and learning from othersABOUT AUDIBLEAudible is the leading producer and provider of audio storytelling. We spark listeners’ imaginations, offering immersive, cinematic experiences full of inspiration and insight to enrich our customers daily lives. We are a global company with an entrepreneurial spirit. We are dreamers and inventors who are passionate about the positive impact Audible can make for our customers and our neighbors. This spirit courses throughout Audible, supporting a culture of creativity and inclusion built on our People Principles and our mission to build more equitable communities in the cities we call home.BASIC QUALIFICATIONS- MS in one of the following disciplines: Computer Science, Statistics, Data Science, Economics, Applied Math, Operational Research or a related quantitative field +5 yrs relevant experience; or PhD- Fluency in Python, SQL or similar scripting languages and skilled at Java, C++, or other programing languages- Experience in algorithm development- Depth and breadth in state-of-the-art machine learning technologies- Machine Learning Pipeline orchestration with AWS (SageMaker, Batch, Lambda, Step Functions) or similar cloud-platforms- Big Data Engineering with Spark / AWS EMR & Glue ...

Applied Scientist III

Come join the AWS AI science team in building the next generation models for intelligent automation.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.AWS, the world-leading provider of cloud services, has fostered the creation and growth of countless new businesses, and is a positive force for good. Our customers bring problems that will give Applied Scientists like you endless opportunities to see your research have a positive and immediate impact in the world. You will have the opportunity to partner with technology and business teams to solve real-world problems, have access to virtually endless data and computational resources, and to world-class engineers and developers that can help bring your ideas into the world. As part of the team, we expect that you will develop innovative solutions to hard problems, and publish your findings at peer reviewed conferences and workshops.We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.We are located in the USA (Seattle, Pasadena, Bay Area).About the teamDiverse 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. 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 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 & 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. Hybrid WorkWe value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.BASIC QUALIFICATIONS- PhD, or Master's degree and 6+ years of applied research experience- 3+ years of building machine learning models for business application experience- Experience programming in Java, C++, Python or related language- Experience with neural deep learning methods and machine learning ...

Amazon Robotics - System Reliability Engineer Co-op - Summer/Fall 2025

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.We are seeking candidates with exceptional technical skills, a demonstrated capability to learn fast, and a strong interest in design for reliability and service. As part of this highly influential team, candidates have the opportunity to work cross-functionally with global teams within Amazon to contribute to the challenges and continuous innovation of the Amazon Robotic Systems.This role is a 6 month co-op to join AR full time (40 hours/week) from July - December 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:As a System Reliability Engineer Co-op, you will contribute to the development of robotic solutions optimized for availability, life cycle cost and performance. • Support Design for Reliability, Maintainability and Supportability activities during new product development. • Develop reliability models for complex electro-mechanical systems• Support Failure Modes Effects Analyses for new products • Assist in the development and execution of reliability test plans and data collection strategies • Assess vendor reliability data• Advocate for the customer during the design process on failure modes, fault diagnostics and impacts to product supportability• Develop lifecycle support strategies and mechanisms for new products• Ensure supportability requirements and concerns are addressed for field launch• Work with customers to identify opportunities for improved maintenance strategies• Assist with processes to expand diagnostic capabilities improve ergonomics, and reduce troubleshooting time • Work with Learning team to develop and improve Amazon Robotics University technical manuals and training modulesA day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamAbout the team System Reliability Engineering is a team of experts in diverse engineering disciplines joined by a passion to astonish customers through solving complex optimization problems. We succeed by embracing ambiguity, moving at a fast pace, and supporting each other's growth.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- 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 ...

Amazon Dedicated Cloud Manager, Region Reliability Engineering

Seeking a Leader to expand the Region Reliability Engineering team in Herndon, VA! We are looking for an Engineering and Operations Leader to help create the 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.Do you like helping U.S. Intelligence Community and Defense agencies implement innovative cloud computing solutions and solve technical problems? Would you like to do this using the latest cloud computing technologies? Are you the type of person that works with all teams to make operations a better place through simplification of process, creation of automation or building scrappy tools? Would you like to drive the systems operations of the world’s largest scale cloud compute platform? Then this is the job for you. Joining Region Reliability empowers you to drive operational improvements across AWS to delight customers. Our services operate at large scale with workloads critical to national security. These mission-critical cloud computing solutions require a relentless focus on operational excellence. Given the national security implications of our services, a deep passion for delivering reliable, secure, and high-performing infrastructure is essential. You will share big ideas and execute to deliver the next big innovations at rapid pace. You are a believer in the Dev-Ops model of service engineering, and you are excited to run operations in an environment where developers don’t toss problems over the wall but solve them. And you are happiest when you are working with empowered, world-class engineers to meet world-class challenges. Finally, with your strong ownership bias, you have an infectious desire to continually improve how things are done.At Amazon, we hire hands-on managers at all levels. This leader must be able to dive deep into the details on business, operations, and engineering and identify how to deliver outcomes where the solution isn’t understood yet. As a Region Reliability Engineering Manager, you will be be familiar with the technical implementation of creating, securing, deploying, maintaining, simplifying, and safely deprecating software through development and production environments. With this perspective, you drive identification of operational excellence improvements and drive adoption across the organization. You will excel at hiring and developing other Amazon Dedicated Cloud Engineers technical skill and review and improve their work. You will grow leaders in your organization to identify manual actions and relentlessly drive improvements through elimination of process, creation of automation, or escalation through owning teams to drive a better experience for our Builders. We need a technical, detail-oriented operations leader focused on operational excellence to drive best operational practices through the business. You will excel at hiring and developing systems level engineers. You will grow leaders in your organization and lead a charter that grows as your organization grows. This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.For inquiries, please reach out to Josh Sacks at sacksjo@amazon.com10012Key job responsibilitiesIn this role you will have the opportunity to: - Own the continual improvement of operations at AWS. - Identify Builder operational pain points from disparate data and drive actions to resolve them. Examples includes creation, improvement, simplification, and elimination of processes. Knowing when to create a solution vs. improving existing tools. - Hire and Develop the Best leaders at AWS by leveraging your technical ability to identify outcomes, design project plans, and drive the right actions to build the technical acumen on the team. - Collaborate and learn from world-class leaders to meet world-class challenges, every day. - Work across Region Reliability to root cause operational challenges and - Hire, train, and grow new region reliability engineers - Drive continual improvement in systems operations through tool building and automation. - Drive root cause analyses, in collaboration with software development teams, as well as influencing local development to improve operational performance. - Report on the health of these services at an executive level. - Meet with internal and external customers to develop relationships and clarify requirements and schedules. - Collaborate with and learn from world-class leaders to meet world-class challenges, every day - Work in an environment where operational excellence is truly the first priority, and where the degree of automation is above bar. A day in the lifeRRE Line managers manage a team of Region Reliability Engineers. A typical day includes working with the team in the SCIF assigning and unblocking workflows, working with partner teams to drive manual task reduction through automation, drive root cause analysis for complex issues, and ensure team SLAs are consistently being met. You will mentor and grow your team, and drive strategic initiatives to generate efficiencies across operational practices. 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. 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.About the teamRegion Reliability is a new organization reinventing the way the AWS operates services on isolated networks. As a technical leader on the team, you will be responsible for operational excellence initiatives to remove manual actions, create and onboard services to automation, and work AWS teams to streamline activities. Your customers are teams across AWS. Region Reliability collects or defines best in class solutions and applies them across the company. You will be working across teams to apply these best practices, requiring you to effectively influence others. Leaders are also expected to be proficient with Amazon's and Region Reliability's tooling and processes to deliver for our customers. This enables them to fully understand the work and drive improvements through their team and partner teams. BASIC QUALIFICATIONS- Associate's degree, or Cloud+ or GICSP (Global Industrial Cyber Security Professional) or GSEC (GIAC Security Essentials) or SSCP (Systems Security Certified Practitioner)- 7+ years of relevant hands-on systems engineering and administrative experience in networking, storage systems, operating systems- 3+ years of experience as the systems engineering and operations leader for an Internet service or leading edge IT organization operating in a 24x7 environment- Current, active US Government Security Clearance of Top Secret or above ...