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Amazon is seeking a dynamic and experienced Tour Manager to oversee our Tour Leader program at multiple Fulfillment Centers. This role is crucial in ensuring the delivery of high-quality, engaging tours that showcase Amazon's innovation, technology, and commitment to our employees and the environment. The Tour Manager will be responsible for remotely managing a team of Tour Leaders across various locations, with frequent travel to different sites for in-person observations, audits, and development work. The ideal candidate will have strong leadership skills, a passion for customer experience, and the ability to drive performance in a remote management setting.Travel up to 25% Key job responsibilities1. Remotely manage and develop a team of Tour Leaders across multiple Robotics Fulfillment Centers.2. Occasionally deliver high-caliber Fulfillment Center tours to VIP audiences. 3. Utilize Tour-delivery knowledge to travel frequently to different locations to observe tours, conduct audits, and provide on-site coaching and feedback.4. Recruit, hire, and onboard new Tour Leaders as needed to maintain optimal staffing levels.5. Collaborate with product and marketing teams to ensure tours are delivered as designed and meet established goals for capacity, traffic, and customer perception.6. Develop and implement strategies to continuously improve tour quality and Leader performance.7. Analyze tour feedback and performance metrics to identify areas for improvement and implement action plans.8. Ensure all tours comply with safety regulations and Amazon's policies.9. Create and deliver training programs to keep Tour Leaders updated on new technologies, company initiatives, and best practices in tour delivery.10. Manage tour schedules and capacity across multiple locations to optimize resource utilization.11. Act as a liaison between the tour program and other departments within Amazon to facilitate smooth operations and address any issues that arise.A day in the lifeAs a Tour Manager, your days will be varied and dynamic. When working remotely, you'll start your day by checking in with your team of Tour Leaders across different time zones, addressing any urgent issues or questions. You'll review performance metrics and customer feedback, identifying trends and areas for improvement.Throughout the day, you'll have virtual coaching sessions with individual Tour Leaders, discussing their performance and providing guidance on enhancing their tour delivery. You'll also participate in meetings with product and marketing teams to discuss tour content updates, promotional strategies, and performance against goals.When traveling to Fulfillment Centers, your day will involve observing multiple tours, taking detailed notes, and providing immediate feedback to Tour Leaders. You'll meet with local leadership to discuss the tour program's impact and any site-specific considerations. You may also conduct training sessions or workshops to address common areas for improvement across your team..About the teamYou'll be joining a dedicated team of Tour Program leaders who are passionate about showcasing Amazon's innovation and commitment to excellence. Our team works closely with various departments, including Operations, Human Resources, Public Relations, and Marketing, to ensure our tours effectively communicate Amazon's story and values.We're a collaborative group that values creativity, data-driven decision making, and continuous improvement. As a Tour Manager, you'll play a key role in shaping the development of our Tour Leaders and the evolution of our tour program. You'll have the opportunity to contribute to strategic initiatives that enhance the public's understanding of Amazon's cutting-edge fulfillment operations and our broader company mission.This role offers an exciting opportunity to lead a team in a fast-paced, innovative environment while developing your skills in remote management, training and development, and cross-functional collaboration. Join us in elevating Amazon's tour experience and inspiring both our visitors and our Tour Leaders!BASIC QUALIFICATIONSBasic Requirements: • 5+ years of recent professional communications or PR experience• Bachelor’s degree in communications, PR, or a related field• Speak, write, and read fluently in English • Management Experience • Excellent written & verbal skills ...

Shape the Future of Human-Machine InteractionAre you a master of natural language processing, eager to push the boundaries of conversational AI? Amazon is seeking exceptional graduate students to join our cutting-edge research team, where they will have the opportunity to explore and push the boundaries of natural language processing (NLP), natural language understanding (NLU), and speech recognition technologies. Imagine waking up each morning, fueled by the excitement of tackling complex research problems that have the potential to reshape the world. You'll dive into production-scale data, exploring innovative approaches to natural language understanding, large language models, reinforcement learning with human feedback, conversational AI, and multimodal learning. Your days will be filled with brainstorming sessions, coding sprints, and lively discussions with brilliant minds from diverse backgrounds.Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated..Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology.Amazon has positions available for Natural Language Processing & Speech Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA. Key job responsibilitiesWe are particularly interested in candidates with expertise in: NLP/NLU, LLMs, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning.In this role, you will work alongside global experts to develop and implement novel, scalable algorithms and modeling techniques that advance the state-of-the-art in areas at the intersection of Natural Language Processing and Speech Technologies. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on natural language processing, speech recognition, text-to-speech (TTS), text recognition, question answering, NLP models (e.g., LSTM, transformer-based models), signal processing, information extraction, conversational modeling, audio processing, speaker detection, large language models, multilingual modeling, and more.The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.A day in the life- Develop novel, scalable algorithms and modeling techniques that advance the state-of-the-art in natural language processing, speech recognition, text-to-speech, question answering, and conversational modeling.- Tackle groundbreaking research problems on production-scale data, leveraging techniques such as LSTM, transformer-based models, signal processing, information extraction, audio processing, speaker detection, large language models, and multilingual modeling.- Collaborate with cross-functional teams to solve complex business problems, leveraging your expertise in NLP/NLU, LLMs, reinforcement learning, human feedback/HITL, deep learning, speech recognition, conversational AI, natural language modeling, and multimodal learning.- Thrive in a fast-paced, ever-changing environment, embracing ambiguity and demonstrating strong attention to detail.BASIC QUALIFICATIONS- Are enrolled in a PhD- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience programming in Java, C++, Python or related language- Experience with one or more of the following: Natural Language Processing/Understanding, Large Language Models, Reinforcement Learning, Human Feedback/HITL, Deep Learning, Speech Recognition, Conversational AI, Natural Language Modeling, Multimodal Learning ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses. Amazon's advertising portfolio helps merchants, retail vendors, and brand owners succeed via native advertising, which grows incremental sales of their products sold through Amazon. The primary goals are to help shoppers discover new products they love, be the most efficient way for advertisers to meet their business objectives, and build a sustainable business that continuously innovates on behalf of customers. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day! As an Applied Scientist on this team, you will: - Be a strong contributor to Machine Learning; lending effort within this team and across other teams.- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.- Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.- Run A/B experiments, gather data, and perform statistical analysis.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Research new and innovative machine learning approaches.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Amazon Corporate Security’s (ACS) mission is to deliver a safe and secure workplace for all Amazonians. The Technology and Tools team within ACS develops, implements and maintains the technology and tools that enable other teams within Corporate Security. The Tech and Tools team is looking for an experienced Systems Engineer that can help deliver best-in-class physical security systems to our 1.7MM+ cardholder customer base. As ACS’s scope continues to grow, the Tech and Tools team is seeking the technical expertise that will help build on the current infrastructure and drive development of new solutions that will exceed our customer’s expectations. As a member of the team overseeing one of the largest Physical Access Control Systems in the world, the successful candidate must be comfortable with not only troubleshooting but deep diving to create solutions for issues that no other company has yet faced or solved for.Key job responsibilitiesOn a “typical” day engineers might deep dive to root cause of a customer issue, investigate why a metric is trending the wrong way, consult with the top engineers at Amazon, or discuss radical new approaches to automate operational issues.The systems engineer can look forward to: * Investigating new ways to improve operations and defining new solutions to solve technically complex issues.* Work with the development team to automate manual tasks and on tooling to enhance fleet maintenance* Investigating issues that impact major services and work to solve them before they impact customers.* Diving deep into service interdependencies and region-specific configurations to find the root of a problem.* Studying and continuously learning from industry recognized engineers.BASIC QUALIFICATIONS* Computer Science degree or equivalent work experience.* 4+ years of professional experience of software development or in related occupations (systems administration, DevOps engineering, site reliability engineering, networking/automation, software/systems development).* Experience building scripts, tooling, and automation using modern programming languages, such as: Java, C/C++, C#, Objective C, Python, JavaScript, Ruby, Powershell, Typescript, or Go* Proven track record of success in delivering complex projects.* Demonstrable track record dealing well with ambiguity, prioritizing customer needs, and delivering measurable results in a fast-paced environment* Thorough networking knowledge including DHCP, Firewalls and ACL* Thorough Windows server knowledge including AD, Windows Clustering and Server Management. ...

The AI/ML Amazon Dedicated Cloud (ADC) team is at the forefront of delivering artificial intelligence and machine learning solutions to our customers in isolated, air-gapped cloud environments. We are dedicated to pushing the boundaries of what is possible in this rapidly evolving field, leveraging the power of cloud computing and the latest advancements in AI/ML technologies. With a focus on expanding AI/ML services across air-gapped cloud regions, driving automation investments, and delivering open-source solutions, we are at the forefront of innovation. Our team is committed to enabling customers to harness the full potential of AI/ML technologies, empowering them to achieve their objectives with greater efficiency, collaboration, and service utilization.A successful ADC Engineer II joining the team will work closely with Amazon's largest and most demanding government customers to address their specific needs across a full suite of AWS AI/ML services in air-gapped cloud environments. They will dive deeply into technical issues and work diligently to improve the customer experience. The ideal candidate will...- Be great fun to work with. Our company credo is "Work hard. Have fun. Make history". The right candidate will love what they do and instinctively know how to make work fun.- Have strong Linux & Networking Fundamentals. The ideal candidate will have deep experience working with Linux, preferably in a large scale, distributed environment. You understand networking technology and how servers and networks inter-relate. You regularly take part in deep-dive troubleshooting and conduct technical post-mortem discussions to identify the root cause of complex issues.- Love to solve problems. The ideal candidate will love using technology to solve difficult technical problems related to AI/ML service builds and operations in air-gapped cloud environments. You have a solid understanding of systems design, operations, automation, and process improvement.- Think Big. The ideal candidate will build and deploy solutions across ADC partitions and regions. You will strive to improve and streamline processes to allow for work on a massive scale.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.Key job responsibilities- You are a significant and autonomous contributor supporting service builds and operations primarily in ADC partitions and regions.- You use your skills and expertise to solve difficult technical problems, seeking direction as needed when implementation is not defined.- You understand the architectures, interactions, and dependencies for the services your team supports and serve as an ADC point of contact for a subset of these services.- You create documentation, wikis, runbooks, and processes related to ADC operations and are a reviewer for others' work in this area.- You identify when ADC implementations lack high availability, performance, security, maintainability, etc. and investigate systemic patterns, determining short-term mitigations.- You are proficient at diagnosing, root-causing, and resolving difficult ADC-specific issues, leveraging your knowledge of ADC architectural differences.- You follow ADC policies for information handling, access controls, compliance, etc. and help educate others on the importance of these requirements.- You clearly communicate with customers and partner teams, fostering a constructive dialogue and seeking professional resolutions aligned to ADC needs.- You influence and contribute to technical project definition, scoping and prioritization discussions related to services in ADC partitions.- You participate in mentoring efforts for other ADC Engineers on your team.A day in the lifeEngineers in this role will work on automation, development, and operations to support AWS AI/ML services for US government customers in isolated, air-gapped cloud environments. They will work in an agile environment, attend daily standup, and collaborate closely with AI/ML teammates. They will work on exciting challenges at scale and tackle unsolved problems. They will support the U.S. Intelligence Community and Defense agencies to implement innovative AI/ML solutions and solve unique technical problems.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 applyingBASIC QUALIFICATIONS- 3+ years of systems administration experience (Linux/Windows).- Experience working with scripting languages.- Excellent communication skills and the ability to work well in a team.- In lieu of above relevant work experience, degree in Computer Science, Engineering or a related field.- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

The Applied Scientist will develop and improve time series forecasting models for Amazon Devices sold through offline channels, with a specific focus on addressing the cold-start problem for new, unlaunched devices. They will implement and refine machine learning models that can accurately forecast demand patterns across different color variations of new Amazon devices, helping optimize inventory and assortment decisions for brick-and-mortar operations before product launch. This role offers an excellent opportunity to tackle complex forecasting challenges where historical data is limited or non-existent, requiring innovative solutions to capture potential demand signals and color-specific preferences for unreleased products..Key job responsibilities- Develop and implement forecasting models using Python, focusing on techniques that address the cold-start problem for new Amazon Devices, including transfer learning from similar products and incorporating external factors that may influence color-mix demand.- Apply deep learning frameworks (TensorFlow/Keras, PyTorch) to build sequence models (RNNs, LSTMs) that can effectively utilize limited pre-launch data and proxy information to forecast color-specific demand for new devices.- Conduct sophisticated feature engineering tasks, leveraging data from product attributes, market trends, and consumer preferences to create informative features for forecasting demand of unlaunched devices across different color options.- Evaluate model performance using appropriate metrics for cold-start scenarios, create visualizations to illustrate forecast uncertainty, and present findings to cross-functional teams to inform launch strategies and initial inventory decisions.- Implement and continuously improve methodologies for incorporating early sales signals and rapidly adjusting forecasts as new Amazon Devices enter the market.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 ...

Please note the following eligibility requirements to apply for this role:• Graduate from bachelor's degree program between 12/2024 and 6/2025, or graduated from bachelor’s degree program within past 24 months.• Ability to relocate nationwide. Relocation assistance provided, if eligible.• Ability to begin 40-hour/week, full-time employment in Fall 2025.• We are unable to offer visa sponsorship for this role.At Amazon, we are excited to offer undergraduate students the opportunity to launch into big careers with limitless possibilities. 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.As you launch your career as a Risk Specialist at Amazon, you will focus on improving the success of the organization by diving deep into core areas of the company, partnering with Amazon’s cutting-edge businesses to identify areas of risk, analyze data, and solve real world problems. Risk Specialists add value and help protect Amazon in all areas of the business.A key component of this role is to dive deep to understand complex business processes and identify risks related to processes, regulatory compliance, organization, policy and technology. You will participate in planning, scoping, execution and reporting of assessments based on identified risks. Through your work you will help develop meaningful findings that help in communicating the risk to the business. In this capacity, you will gain valuable exposure to many organizations, processes, and systems within our global business.BASIC QUALIFICATIONS• Currently enrolled in a bachelor’s degree program in business, economics, operations, accounting, finance, pre-law, mathematics, or relevant field with a graduation conferral date between December 2024 and June 2025, or graduated from a bachelor’s degree program in the past 24 months.• Are 18 years of age or older. • Experience with Microsoft Excel ...

The Inference team at AGI is a group of innovative developers working on groundbreaking multi-modal inference solutions that revolutionize how AI systems perceive and interact with the world. We push the limits of inference performance to provide the best possible experience for our users across a wide range of applications and devices. As a Manager of Software Development in AGI Inference, you will be responsible for leading a team of engineers to build innovative, mission-critical, high-volume production systems that will shape the future of AI. You will have an enormous opportunity to make an impact on in building large, complex software systems, and preferably with machine learning and/or systems software development. This role offers the exciting chance to work in a highly technical domain at the boundary between fundamental AI research and production engineering such as Quantization, Speculative Decoding, and Long Context for inference efficiency. Key job responsibilities• Responsible for the over-all systems development life cycle• Management and execution against project plans and delivery commitments; Manage the day-to-day activities of the engineering team within an Agile/Scrum environment• Management of departmental resources, staffing, mentoring, and enhancing and maintaining a best-of-class engineering team• Work closely with the engineers to architect and develop the best technical design and approach• Responsible for status of development, quality, operations, and system performance • Responsible for development of high-performance inference software for a diverse set of neural models, typically in C/C++• Responsible for design, prototype, and evaluate new inference engines and optimization techniques• Responsible for team’s participate in deep-dive analysis and profiling of production code• Responsible for optimization of inference performance across various platforms (on-device, cloud-based CPU, GPU, proprietary ASICs)• Lead the team in close collaboration with research scientists to bring next-generation neural models to life• Partner with internal and external hardware teams to maximize platform utilization• Work in an Agile environment to deliver high-quality software against aggressive schedules• Hold a high bar for technical excellence within the team and across the organizationAbout the teamThe AGI Inference team builds groundbreaking multi-modal inference software that revolutionize how AI systems perceive and interact with the world. We push the limits of inference performance to provide the best possible experience for our users across a wide range of applications and devices. As a Manager of Software Development in AGI Inference, you will be responsible for leading a team of engineers to build innovative, mission-critical, high-volume production systems that will shape the future of AI. You will have an enormous opportunity to build large production software systems. This role offers the exciting chance to work in a highly technical domain at the boundary between fundamental AI research and production engineering such as Quantization, Speculative Decoding, and Long Context for inference efficiency. BASIC QUALIFICATIONS- Bachelor's Degree in Computer Science- 3+ years experience managing software development teams- Experience working with machine learning, speech recognition, computer vision, natural language processing, or related technologies- Experience designing and developing software systems- Experience using the tools of the trade, including a variety of modern programming languages C, C++ or Java- Experience communicating with executives and non-technical leaders • Experience hiring, growing and developing software developers ...

Come join the AWS AI science team in building the next generation models for intelligent automation.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, API orchestration, Planning, 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 teamWhy AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.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 CultureHere at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Work/Life BalanceWe value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.Mentorship and Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Diverse ExperiencesAmazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We’re looking for an Applied Scientist who will research, design, and implement machine learning solutions to unsolved, real world problems at Amazon Robotics. We invent new improvements every day. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. The Scanless Tech organization builds products that eliminate the need for explicit scanning in the Amazon Fulfillment Network. We research, design, and implement solutions for automated identification of objects and object movement by removing the need for manual scanning of identifiers, like barcodes. We integrate hardware, software, and machine learning, developing products that are solution-agnostic while enabling easy integration from installation to execution. We push the boundaries of current solutions to solve customer challenges and impact many areas of Amazon’s operations. For our associates, our systems affect user experience by improving safety and ergonomics. For our large fleet or robots, they improve overall throughput and efficiency.Come collaborate with us and develop pioneering applications in a highly exciting and innovative environment where your solutions will impact tens of thousands of users for every minute of their working day! Key job responsibilities* Identifying creative solutions for challenging research problems in computer vision• Developing software solutions to test hypotheses and demonstrate new functionality• Prototyping concepts on robots and other workcells to collect data and measure performance• Writing code and unit tests and integrating code with other software and hardware components• Scientific Writing 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 About the teamThe Scanless Tech teams build products that eliminate the need for explicit scanning in the Amazon Fulfillment Network. We research, design, and implement solutions for automated identification of objects and object movement by removing the need for manual scanning of identifiers, like barcodes. We integrate hardware, software, and machine learning, developing products that are solution-agnostic while enabling easy integration from installation to execution. We push the boundaries of current solutions to solve customer challenges.Our solutions directly impact many areas of Amazon’s operations. For our associates, our systems affect user experience by improving safety and ergonomy. For our large fleet or robots, they improve overall throughput and efficiency.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

Prime Video is a first-stop entertainment destination offering customers a vast collection of premium programming in one app available across thousands of devices. Prime members can customize their viewing experience and find their favorite movies, series, documentaries, and live sports – including Amazon MGM Studios-produced series and movies; licensed fan favorites; and programming from Prime Video add-on subscriptions such as Apple TV+, Max, Crunchyroll and MGM+. All customers, regardless of whether they have a Prime membership or not, can rent or buy titles via the Prime Video Store, and can enjoy even more content for free with ads.Are you interested in shaping the future of entertainment? Prime Video's technology teams are creating best-in-class digital video experience. As a Prime Video technologist, you’ll have end-to-end ownership of the product, user experience, design, and technology required to deliver state-of-the-art experiences for our customers. You’ll get to work on projects that are fast-paced, challenging, and varied. You’ll also be able to experiment with new possibilities, take risks, and collaborate with remarkable people. We’ll look for you to bring your diverse perspectives, ideas, and skill-sets to make Prime Video even better for our customers. With global opportunities for talented technologists, you can decide where a career Prime Video Tech takes you! Key job responsibilities- Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization methods- Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps- Stay up-to-date with advancements and the latest modeling techniques in the field- Publish your research findings in top conferences and journalsA day in the lifeWe're using advanced machine learning approaches to connect information about our videos and customers from a variety of information sources, acquiring and processing data sets on a scale that only a few companies in the world can match. This will enable us to recommend titles effectively, even when we don't have a large behavioral signal (to tackle the cold-start title problem). It will also allow us to find our customer's niche interests, helping them discover groups of titles that they didn't even know existed. We are looking for creative & customer obsessed machine learning scientists who can apply the latest research, state of the art algorithms and ML to build highly scalable page personalization solutions. You'll be a research leader in the space and a hands-on ML practitioner, guiding and collaborating with talented teams of engineers and scientists and senior leaders in the Prime Video organization. You will also have the opportunity to publish your research at internal and external conferences. BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 3+ years of building models for business application experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

Are you inspired by invention? Is problem solving through teamwork in your DNA? Do you like the idea of seeing how your work impacts the bigger picture? Answer yes to any of these and you’ll fit right in here at Amazon Robotics. We are a smart team of doers who work passionately to apply cutting edge advances in robotics and software to solve real-world challenges that will transform our customers’ experiences. We invent new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling, and fun. Amazon Robotics empowers a smarter, faster, more consistent customer experience through automation. Amazon Robotics automates fulfillment center operations using various methods of robotic technology including autonomous mobile robots, sophisticated control software, language perception, power management, computer vision, depth sensing, machine learning, object recognition, and semantic understanding of commands. Amazon Robotics has a dedicated focus on research and development to continuously explore new opportunities to extend its product lines into new areas. Amazon Robotics co-op opportunities will be based out of the Greater Boston Area in our two state-of-the-art facilities in Westborough, MA and North Reading, MA. Both campuses provide a unique opportunity to have direct access to robotics testing labs and manufacturing facilities.This role is an On-site 6 month co-op from July - December 2025.The Robotics Manufacturing and Technical Operations team is seeking a Manufacturing Planning Co-op to develop and manage new manufacturing initiatives which will support high volume, high mix manufacturing and emerging products and technology. The Manufacturing team works with partner teams in early design stages and develops processes to launch and sustain manufacturing for complex robotics equipment. This role will work closely with manufacturing, supply chain, and technical operations to operationalize new insourcing or optimization opportunities and manage execution deliverables throughout the lifecycle of the project. The role will have visibility and project ownership across all manufacturing operations and will lead critical planning activities for world class manufacturing execution. The role collaborates with leadership and stakeholders to develop performance metrics, drive best practices, and lead process and tool improvements that align with the strategic priorities of the team. Key job responsibilities* Identifies and executes small to medium sized supply chain/operations projects* Integrates key planning metrics with broader business metrics to deliver optimal customer experience* Provides scalable solutions for specific business identified opportunities* Works with internal technical teams to drive a single system process change (e.g., inventory tracking) by defining requirements, driving prioritization, and managing implementation* Evolve and maintain standard operating procedures for manufacturing operations to support future program management in a high mix, high volume manufacturing environment* Support weekly, monthly and quarterly business planning cycles and track performance metrics/KPIs* Provide recommendations for operational improvements including utilization of ERP/system capabilities* Continuous improvement projects* Troubleshooting escalations for receiving, shipping, or general material flow * Ability to travel (~10%) to support projects when normal business travel practices resumeA day in the lifeIf you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!About the teamThe Amazon Robotics Manufacturing and Technical Operations team (RMTO) works across the Global Robotic Operations department to enable manufacturing scalability and adaptability to best serve the Amazon Operations Network. Through strategic thought leadership, we evaluate manufacturing constraints across the product portfolio to deliver solutions that optimize resource allocation and maximize customer responsiveness. Our team’s holistic and peculiar mindset allows us to develop the manufacturing leaders of tomorrow while delivering results for our customers.BASIC QUALIFICATIONS- * Pursuing a Bachelor’s/Master’s degree in an Engineering major, Supply Chain Management, or other equivalent discipline * Currently enrolled in college/university and must have at least one semester/term/quarter of school left to complete after the end of the co-op * Must be eligible and available for a full-time (40h / week) from July - Dec 2025 * December 2025 graduation date or later * Microsoft Office skills, including advanced knowledge of Excel ...

Amazon Payments build systems that process payments at an unprecedented scale, with accuracy, speed, and mission-critical availability. We process millions of transactions every day worldwide across various payment methods. Over 100 million customers and merchants send hundreds of billions of dollars moving at light-speed through our systems annually. We are looking for a highly skilled, experienced, and motivated Applied Scientist to innovate and solve complex scientific optimization challenges at a massive scale. This Applied Scientist role will design and implement state-of-the-art AI optimization models that generate multi-billion dollar predictions of the highest level of visibility and importance for Amazon's Payments and Customer Experience. The scientist will work on implementing Agentic workflows within production systems that will tremendously improve developer productivity at scale. A successful candidate will be a problem solver who enjoys diving into data, is excited by difficult modeling challenges, and possesses strong communication skills to effectively interface between technical and business teams. You will contribute to the research community by working with other scientists across Amazon and our Payments Engineering as well as by collaborating with academic researchers and publishing papers. You will work closely with Software Development Engineers to invent and construct models on data at massive scale and it is likely that your work will end up in an Amazon product. Finally, you will also have exposure to senior leadership as we communicate results and provide scientific guidance to the business.Key job responsibilitiesAs a Applied Scientist you will: - Drive collaborative research and creative problem solving.- Write production-grade quality code for deploying machine learning and deep learning modes. - Constructively critique peer research and mentor junior scientists and engineers. - Create experiments and prototype implementations of state-of-the-art AI techniques.- Create agentic workflows using GenAI state-of-the-art techniques. - Collaborate with engineering teams to design and implement software solutions for science problems. - Contribute to progress of the Amazon and broader research communities by producing publication - Effectively collaborate in a fast paced environment with multiple teams in large organization (software development, Project Management, Build and Release, etc).About the teamAmazon Payments Machine Learning team leverages data across the payment lifecycle to build ML capabilities to improve payment-operations' success rates for verification, authentication, authorization, settlement, refund, disbursement etc. The team also leads impactful generative AI initiatives, driving reductions in operations, an improved developer experience, and friction-less client interactions.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 ...

As an Applied Scientist on our Learning and Development team, you will play a critical role in driving the design, development, and delivery of learning programs and initiatives aimed at enhancing leadership and associate development within the organization. You will leverage your expertise in learning science, data analysis, and statistical model design to create impactful learning journey roadmap that align with organizational goals and priorities.Key job responsibilities1) Research and Analysis:Conduct research on learning and development trends, theories, and best practices related to leadership and associate development.Analyze data to identify learning needs, performance gaps, and opportunities for improvement within the organization.Use data-driven insights to inform the design and implementation of learning interventions.2) Program Design and Development:Collaborate with cross-functional teams to develop comprehensive learning programs focused on leadership development and associate growth.Design learning experiences using evidence-based instructional strategies, adult learning principles, and innovative technologies.Create engaging and interactive learning materials, including e-learning modules, instructor-led workshops, and multimedia resources.3) Evaluation and Continuous Improvement:Develop evaluation frameworks to assess the effectiveness and impact of learning programs on leadership development and associate performance.Collect and analyze feedback from participants and stakeholders to identify strengths, areas for improvement, and future learning needs.Iterate on learning interventions based on evaluation results and feedback to continuously improve program outcomes.4) Thought Leadership and Collaboration:Serve as a subject matter expert on learning science, instructional design, and leadership development within the organization.Collaborate with stakeholders across the company to align learning initiatives with strategic priorities and business objectives.Share knowledge and best practices with colleagues to foster a culture of continuous learning and development.BASIC QUALIFICATIONS- Experience programming in Java, C++, Python or related language- Deep understanding of ML/Generative AI models ...

Unleash Your Potential at the Forefront of AI InnovationAt Amazon, we're on a mission to revolutionize the way the world leverages machine learning. Amazon is seeking graduate student scientists who can turn revolutionary theory into awe-inspiring reality. As an Applied Science Intern focused on Information and Knowledge Management in Machine Learning, you will play a critical role in developing the systems and frameworks that power Amazon's machine learning capabilities. You'll be at the epicenter of this transformation, shaping the systems and frameworks that power our cutting-edge AI capabilities. Imagine a role where you develop intuitive tools and workflows that empower machine learning teams to discover, reuse, and build upon existing models and datasets, accelerating innovation across the company. You'll leverage natural language processing and information retrieval techniques to unlock insights from vast repositories of unstructured data, fueling the next generation of AI applications. Throughout your journey, you'll have access to unparalleled resources, including state-of-the-art computing infrastructure, cutting-edge research papers, and mentorship from industry luminaries. This immersive experience will not only sharpen your technical skills but also cultivate your ability to think critically, communicate effectively, and thrive in a fast-paced, innovative environment where bold ideas are celebrated.Join us at the forefront of applied science, where your contributions will shape the future of AI and propel humanity forward. Seize this extraordinary opportunity to learn, grow, and leave an indelible mark on the world of technology. Amazon has positions available for Machine Learning Applied Science Internships in, but not limited to Arlington, VA; Bellevue, WA; Boston, MA; New York, NY; Palo Alto, CA; San Diego, CA; Santa Clara, CA; Seattle, WA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting LanguagesIn this role, you'll collaborate with brilliant minds to develop innovative frameworks and tools that streamline the lifecycle of machine learning assets, from data to deployed models in areas at the intersection of Knowledge Management within Machine Learning. You will conduct groundbreaking research into emerging best practices and innovations in the field of ML operations, knowledge engineering, and information management, proposing novel approaches that could further enhance Amazon's machine learning capabilities.The ideal candidate should possess the ability to work collaboratively with diverse groups and cross-functional teams to solve complex business problems. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail and the ability to thrive in a fast-paced, ever-changing environment.A day in the life- Develop scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation.- Design, development and evaluation of highly innovative ML models for solving complex business problems.- Research and apply the latest ML techniques and best practices from both academia and industry.- Think about customers and how to improve the customer delivery experience.- Use and analytical techniques to create scalable solutions for business problems. BASIC QUALIFICATIONS- Are enrolled in a PhD- Are 18 years of age or older- Work 40 hours/week minimum and commit to 12 week internship maximum- Can relocate to where the internship is based- Experience programming in Java, C++, Python or related language- Experience with one or more of the following: Knowledge Graphs and Extraction, Neural Networks/GNNs, Data Structures and Algorithms, Time Series, Machine Learning, Natural Language Processing, Deep Learning, Large Language Models, Graph Modeling, Knowledge Graphs and Extraction, Programming/Scripting Languages ...

Amazon is seeking enthusiastic and engaging Tour Leaders to lead immersive 90-minute in-person tours of our state-of-the-art Robotics Fulfillment Centers. As a Tour Leader, you will play a crucial role in showcasing Amazon's technology, innovative processes, and dedicated workforce to a diverse audience. This position offers a unique opportunity to highlight Amazon's rich history, our commitment to being Earth's Best Employer, and our ambitious Climate Pledge goals. We are seeking an enthusiastic individual with good communication skills and attention to detail in providing informative and engaging tours of their fulfillment center. The ideal candidate is passionate about technology, sustainability, and creating exceptional customer experiences.At the end of each day, you'll review feedback from tour participants and contribute to continuous improvement efforts for the tour program.Key job responsibilities1. Conduct multiple 90-minute tours per day, providing an engaging and informative experience for visitors.2. Develop a deep understanding of Amazon's fulfillment processes, robotics technology, and company history.3. Effectively communicate complex technical concepts to audiences with varying levels of technical knowledge.4. Highlight Amazon's commitment to employee development, safety, and well-being.5. Educate visitors about Amazon's sustainability initiatives and the Climate Pledge.6. Ensure tour groups adhere to all safety protocols and facility regulations.7. Maintain positive site relationships and participate in site & community engagement activities8. Staff and train Ambassador & Proxy teams 9. Respond to questions from tour participants accurately and professionally.10. Collaborate with fulfillment center teams to stay updated on the latest developments and processes.11. Maintain and update tour content to reflect new technologies and company initiatives.12. Collect and report feedback from tour participants to improve the overall experience.A day in the lifeAs a Tour Guide at an Amazon Robotics Fulfillment Center, your day will be dynamic and engaging. You'll start by reviewing the day's tour schedule and preparing any necessary materials. Before each tour, you'll greet visitors, provide safety briefings, and distribute required protective equipment.During the tours, you'll guide groups through various sections of the fulfillment center, explaining the intricate dance between human associates and robotic systems. You'll showcase how customer orders are processed, picked, packed, and shipped with incredible efficiency. Throughout the tour, you'll weave in stories about Amazon's history, our commitment to employee growth, and our sustainability efforts.Between tours, you'll have time to refresh your knowledge, update tour content, and collaborate with colleagues on our global team. You may also participate in training sessions to enhance your skills and stay current on Amazon's latest innovations.About the teamYou'll be joining a passionate team of Tour Leaders and program managers around the world that are dedicated to showcasing Amazon's innovation and commitment to customer obsession. Our team works closely with various departments within the fulfillment center, including operations, robotics, human resources, and sustainability teams. We're a collaborative group that values creativity, continuous learning, and the ability to inspire others. As part of this team, you'll have the opportunity to contribute to the development of tour content and help shape the public's perception of Amazon's fulfillment operations.This role offers an exciting opportunity to be at the forefront of Amazon's technological advancements while developing valuable public speaking and customer engagement skills. Join us in sharing Amazon's story and inspiring the next generation of innovators!BASIC QUALIFICATIONS• Speak, write, and read fluently in English • Strong written and oral communication skills ...

The Measurement, Ad Tech, and Data Science (MADS) team at Amazon Ads is at the forefront of developing cutting-edge solutions that help our tens of millions of advertisers understand the value of their ad spend while prioritizing customer privacy and measurement quality. We develop cutting-edge deterministic algorithms, machine learning models, causal models, and statistical approaches to empower advertisers with insights on the effectiveness of their ads in guiding customers from awareness to purchases. Our insights help advertisers build full-funnel advertising strategies. We maximize the information we extract from incomplete traffic signals and alternative sources to capture the impact of their ad spending for both Amazon recognized and anonymous traffic. Our vision is to lead the industry in extracting and combining information from several sources to enable advertisers to optimize their return on their ad spend.As an Applied Scientist on this team, you will: - Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.- Perform hands-on analysis and modeling of enormous data sets to develop insights that increase traffic monetization and merchandise sales, without compromising the shopper experience.- Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.- Run A/B experiments, gather data, and perform statistical analysis.- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.- Research new and innovative machine learning approaches.- Recruit Applied Scientists to the team and provide mentorship.Why you will love this opportunity: Amazon is investing heavily in building a world-class advertising business. This team defines and delivers a collection of advertising products that drive discovery and sales. Our solutions generate billions in revenue and drive long-term growth for Amazon’s Retail and Marketplace businesses. We deliver billions of ad impressions, millions of clicks daily, and break fresh ground to create world-class products. We are a highly motivated, collaborative, and fun-loving team with an entrepreneurial spirit - with a broad mandate to experiment and innovate.Impact and Career Growth: You will invent new experiences and influence customer-facing shopping experiences to help suppliers grow their retail business and the auction dynamics that leverage native advertising; this is your opportunity to work within the fastest-growing businesses across all of Amazon! Define a long-term science vision for our advertising business, driven from our customers' needs, translating that direction into specific plans for research and applied scientists, as well as engineering and product teams. This role combines science leadership, organizational ability, technical strength, product focus, and business understanding.Team video https://youtu.be/zD_6Lzw8raE Key job responsibilities* Lead the development of ad measurement models and solutions that address the full spectrum of an advertiser's investment, focusing on scalable and efficient methodologies.* Collaborate closely with cross-functional teams including engineering, product management, and business teams to define and implement measurement solutions.* Use state-of-the-art scientific technologies including Generative AI, Classical Machine Learning, Causal Inference, Natural Language Processing, and Computer Vision to develop cutting-edge models that measure the impact of ad spend across multiple platforms and timescales.* Drive experimentation and the continuous improvement of ML models through iterative development, testing, and optimization.* Translate complex scientific challenges into clear and impactful solutions for business stakeholders.* Mentor and guide junior scientists, fostering a collaborative and high-performing team culture.* Foster collaborations between scientists to move faster, with broader impact.* Regularly engage with the broader scientific community with presentations, publications, and patents.A day in the lifeYou will solve real-world problems by getting and analyzing large amounts of data, generate business insights and opportunities, design simulations and experiments, and develop statistical and ML models. The team is driven by business needs, which requires collaboration with other Scientists, Engineers, and Product Managers across the advertising organization. You will prepare written and verbal presentations to share insights to audiences of varying levels of technical sophistication.Team video https://advertising.amazon.com/help/G4LNN5YWHP6SM9TJBASIC 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 ...

Do you enjoy helping U.S. Intelligence Community agencies implement innovative cloud computing solutions and solve technical problems? Would you like to do this using the latest cloud computing technologies? Do you have a knack for helping these groups understand application architectures and integration approaches, and the consultative and leadership skills to launch a project on a trajectory to success? Are you familiar with security best practices for applications, servers, and networks? Do you want to be part of a customer facing technology team helping to ensure the success of Amazon Web Services (AWS) as a leading technology platform?AWS Customer Service provides global support to a wide range of commercial and government customers as they build mission-critical applications on top of AWS services such as Amazon EC2 and Amazon S3. As an AWS Customer Success Representative, you'll engage with US Government (USG), and enterprise customers, providing training, support and analysis. You will work with the other members of the AWS Enterprise team including Technical Account managers (TAM’s), Sales and Solution Architects. You will be the Subject Matter Experts on Enterprise Account and Billing issues. You will proactively help customers avoid potential issues. Dive deep to understand the underlying issues to help a customer resolve problems.In addition, your responsibilities will include, but will not be limited to, the following: - Being the customer-facing voice for USG and Enterprise customers, addressing complex account and billing issues - Working with Enterprise customers to understand how they use AWS account and billing services, and providing valuable feedback - Performing deep dive analysis on USG / Enterprise customer accounts and billing statements - Educate customers on reporting options, alerts and budgets. - Providing prompt, efficient, detailed, customer-oriented service to Enterprise customers - Working with customer support peers around the globe to ensure a consistent and high-quality level of support - Driving projects that improve customer interactions with AWS account and billing information - Acting as the Voice of the Customer for our Enterprise customers, reporting and acting on observed areas for improvement - Actively seeking solutions to customer needs, communicating trends to leadership, and suggesting innovative solutions on behalf of the customer experience - Assisting with Enterprise customer communication during AWS critical launches and support events - Assuming responsibility for developing detailed knowledge about AWS specific product and features - Work with AWS teams to drive resolution of issues for customers - Making sure internal knowledge reference pages are updatedThis 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 lifeAbout AWS AWS 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 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 conferences, inspire us to never stop embracing our uniqueness. Mentorship & 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. 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.BASIC QUALIFICATIONS- Associate Degree OR A+ or Network+ or Security+- 1+ year experience in Customer Service and/or Account Management working with high-profile customers- 1+ year of advanced Excel (pivot tables, vlookup and other formulas)- Current, active US Government Security Clearance of TS/SCI with Polygraph ...

Join the Amazon AGI team to revolutionize the future of AI by developing breakthrough technologies that dramatically improve the efficiency of large language and foundation models. Work at the frontier of AI research, designing novel approaches for model compression, efficient architectures, long context extension and training optimization that will shape the next generation of AI systems.We're seeking exceptional Applied Scientists to join our team dedicated to solving one of AI's most critical challenges: making foundation models more efficient through lower latency and higher throughput. You'll work on research and new technology development while collaborating with world-class researchers and engineers.- Pioneer new approaches to foundation models- Publish and present research at top-tier conferences and journals- Work with state-of-the-art LLMs and multi-modal foundation models - Access to substantial computational resources for research- Collaborate across AGI teams to implement solutions at scaleKey job responsibilities- Research and develop novel techniques for efficient runtime inference (low latency, high throughput)- Design and evaluate efficient foundation model architectures- Create new methods for improving training efficiency- Conduct experimental studies to validate efficiency improvements- Write high-quality Python code to implement research ideas- Collaborate with team members to integrate solutions into production systems- Author technical documentation and research papers- Present findings to technical and non-technical stakeholdersA day in the lifeYour day might start with a team stand-up to discuss ongoing projects and brainstorm solutions to technical challenges. You'll spend time implementing and testing new efficiency optimization techniques in Python, analyzing performance metrics, and iterating on approaches. You'll collaborate with team members to review code and research results, participate in technical discussions about architecture designs, and engage with other AGI teams to understand their efficiency needs. You might end your day analyzing experimental results or writing up findings for a research paper. Throughout the week, you'll have opportunities to present your work to stakeholders and contribute to the team's research roadmap.Our stakeholders include other AGI teams within Amazon, and our work directly impacts the cost and performance of AI systems used across Amazon's products and services. You'll be solving complex technical challenges that make advanced AI more accessible and efficient at scale.About the teamThe Neural Efficiency Science team was founded in 2024 to develop new technologies that improve the cost-to-performance ratio of AGI foundation models. Amazon believes in customer-obsessed research and as a large number of AI applications are getting built, we see a need to invest in making the underlying foundation models serving these applications cheaper, faster and more accurate at a given price point. Our team keeps up with all of the latest research and trends in what we call "neural efficiency" and publishes our own findings at top conferences such as ICML and NeurIPS while also making our technology available in production for internal and external 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 ...

Amazon Advertising operates at the intersection of eCommerce and advertising, and is investing heavily in building a world-class advertising business. We are defining and delivering a collection of self-service performance advertising products that drive discovery and sales. Our products are strategically important to our Retail and Marketplace businesses driving long-term growth. We deliver billions of ad impressions and millions of clicks daily and are breaking fresh ground to create world-class products to improve both shopper and advertiser experience. With a broad mandate to experiment and innovate, we grow at an unprecedented rate with a seemingly endless range of new opportunities. The Ad Response Prediction team in Sponsored Products organization build advanced deep-learning models, large-scale machine-learning pipelines, and real-time serving infra to match shoppers’ intent to relevant ads on all devices, for all contexts and in all marketplaces. Through precise estimation of shoppers’ interaction with ads and their long-term value, we aim to drive optimal ads allocation and pricing, and help to deliver a relevant, engaging and delightful ads experience to Amazon shoppers. As the business and the complexity of various new initiatives we take continues to grow, we are looking for talented Applied Scientists to join the team. Key job responsibilitiesAs a Applied Scientist II, you will:* Conduct hands-on data analysis, build large-scale machine-learning models and pipelines * Work closely with software engineers on detailed requirements, technical designs and implementation of end-to-end solutions in production* Run regular A/B experiments, gather data, perform statistical analysis, and communicate the impact to senior management* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving * Provide technical leadership, research new machine learning approaches to drive continued scientific innovation* Be a member of the Amazon-wide Machine Learning Community, participating in internal and external MeetUps, Hackathons and ConferencesBASIC 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 ...