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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.Key job responsibilitiesWe are seeking an enthusiastic Data Scientist to:- Design and implement state-of-the-art solutions for never-before-solved problems. - Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the Customer experience. - Partner with technology and product leaders to solve business problems using scientific approaches. - Build new tools and invent business insights that surprise and delight our customers. - Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes. - Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors. - Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.A day in the lifeAs a member of the Software Research and Data Science (SWRDS) team, there are multiple different paths you can take. For example, you may conduct deep dive analysis of both structured and unstructured robotics field analyses. Some of our team members focus on modeling, pipelines and tooling work, while others focus more on analytic work. We also have team members working on early-concept solution analysis (leveraging simulations, ML-based models, experimenting with new solutions). About the teamThe Amazon Robotics Software Research and Data Science (SWRDS) team builds and runs simulation experiments and delivers analyses that are central to understanding the performance of the entire Amazon Robotics system. This includes operational and software scaling characteristics, bottlenecks, and robustness to “chaos monkey” stresses -- we inform critical engineering and business decisions about Amazon’s approach to robotic fulfillment.BASIC QUALIFICATIONS- Master's degree or higher in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 3+ years of professional or military experience- 1+ year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related field- 1+ year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) ...

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- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse- Experience building machine learning models or developing algorithms for business application ...

The Amazon Smart Vehicles (ASV) science team is seeking a passionate and skilled Applied Scientist with extensive expertise in advanced LLM technologies.This role involves innovating in rapidly evolving areas of AI research, focusing on creating personalized services to enhance drivers' and passengers' experiences. Your work will aim to simplify their lives, keep them informed, entertained, productive, and safe on the road, with direct application to prominent Amazon products.If you have extensive expertise in LLMs, natural language processing, and machine learning, along with experience in high-performing research teams, this could be the perfect opportunity for you. Our dynamic and fast-paced environment demands a high level of independence in decision-making and the ability to drive ambitious research initiatives through to production. You will collaborate closely with other science and engineering teams, as well as business stakeholders, to ensure your contributions are both impactful and delivered with maximum efficiency.Key job responsibilities- Leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in generative artificial intelligence (GenAI)- Work with talented peers to lead the development of novel algorithms and modeling techniques to advance the state of the art with LLMs- Collaborate with other science and engineering teams as well as business stakeholders to maximize the velocity and impact of your contributions.About the teamThis is an exciting moment to lead in AI research. As part of the Amazon Smart Vehicles science team, you have the opportunity to shape the future by enhancing information-driven experiences for Amazon customers around the globe. Your work will directly influence customers through innovative products and services powered by language and multimodal technology!BASIC QUALIFICATIONS- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising products that drive discovery and sales. Our products and solutions are strategically important to enable our Retail and Marketplace businesses to drive long-term growth. We deliver billions of ad impressions and millions of clicks and break fresh ground in product and technical innovations every day!We are looking for an accomplished and visionary machine learning expert to lead the Applied Science strategy for our Media Planning Science program. In this role, you will work closely with business leaders, stakeholders, and cross-functional teams to drive program success through ML-driven solutions. You will shape the applied science roadmap, promote a culture of data-driven decision-making, and deliver significant business impact using advanced data techniques and cutting-edge applied science methodologies.Key job responsibilitiesAs an Applied Scientist on this team, you will:- Serve as the technical leader in Machine Learning, guiding efforts within the team and collaborating with other teams.- Conduct hands-on analysis and modeling of large-scale data to generate insights that boost traffic monetization and merchandise sales while maintaining a positive shopper experience.- Lead end-to-end Machine Learning projects that involve high levels of ambiguity, scale, and complexity.- Build, experiment, optimize, and deploy machine learning models, collaborating with software engineers to bring your models into production.- Run A/B experiments, gather data, and perform statistical analysis to validate your models.- Develop scalable and automated processes for large-scale data analysis, model development, validation, and serving.- Explore and research innovative machine learning approaches to push the boundaries of what’s possible.About the teamThe Media Planning Science team builds and deploys models that provide insights and recommendations for media planning. Our mission is to assist advertisers in activating plans that align with their goals. Our insights and recommendations leverage heuristic and machine learning models to simplify the complex tasks of forecasting, outcome prediction, budget planning, optimized audience selection and measurements for media planners. We integrate our insights into user interfaces and programmatic integrations via APIs, ensuring reliable data, timely delivery, and optimal advertising outcomes for our advertisers. BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

The AWS Intelligence Initiative program is hiring cleared builders for a unique opportunity to work with some of the best and brightest engineers and technical leaders. Builders undergo an intensive 3-6 month training and development program to learn about operational culture, enhance their technical skills through a hands-on job path curriculum, to obtain a holistic view of our technology, dedicated mentorship, and support from our program’s alumni. We are seeking highly motivated builders who are focused on learning operational excellence and troubleshooting complex system operations, interested in building an understanding of Linux, networking and general knowledge of cloud services. Upon graduation from our program, builders grow into engineering roles as part of the AWS Region Reliability organization. Region Reliability is the cornerstone of continuous engineering improvement by driving efficiencies across AWS through innovation, automation, and operational excellence. This new organization was created to drive consistency in operational practices across AWS, reducing duplicative efforts and refining and accelerating operational excellence and best practices for AWS Amazon Dedicated Cloud Regions to provide a simpler experience for our customers and AWS Builders.In this role, you are able to take a defined set of tasks and execute it on schedule. You identify ineffective processes. You are learning to execute on well defined technical implementations following a Standard Operating Process and learning from more experienced builders around you. You will build a general understanding of operational risks and learn how to avoid taking unnecessary risks. After gaining technical experience you may begin to identify operational concerns and resolve or escalate concerns in a timely manner.This is an opportunity to operate and engineer systems on a massive scale, and to gain top-notch experience in cloud computing. You'll be surrounded by people who are smart, passionate about cloud computing, and believe that world class service is critical to customer success. You will become an AWS Services platform diagnosis, response, measurement, and automation expert. You will support and simplify the operational scalability that sustains the platform's insane growth. You will measure your success and it will be visible.This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance with polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.10012Key job responsibilitiesThis position is perfect for you if you:- Would like to gain a deeper understanding of AWS service teams, capabilities, and functionality.- Regularly seek simple ways to approach complex issue or processes.You will have the opportunity to:- Explore the inner workings of AWS and how its services communicate.- Engage other AWS engineers world-wide to deploy, configure, and troubleshoot 150+ services.- Express your creative, innovative ideas to make our team even more awesome!- Provide invaluable support to the U.S. Intelligence Community.A day in the lifeAs an ADCE Associate, you will be learning how to play a crucial role in ensuring the smooth and efficient operation of our AWS infrastructure. Your primary responsibility will be to execute a defined set of operational tasks on a schedule, and learning how to identify any ineffective processes or technical implementations that may be hindering performance, availability, or maintainability. You will learn how to understand operational risks and avoid taking unnecessary risks. You will work with more senior engineers that identify operational concerns, and gain familiarity with how teams are responsible for resolving, mitigating, or escalating them in a timely manner. Supporting mission critical workloads involve being present in a Remote Managed Facility (RMF) 5 days a week to execute on your assigned tasks. Over time you will gain the ability to execute on narrow, well-defined workflow processes and become familiar with the application of available tooling. An ADCE Associate will learn to resolve most straightforward blockers by leveraging existing runbooks, and effectively communicate any issues that may arise to peers and leaders. On this team, you may also learn how to identify the root cause of issues and ways of how to provide feedback to workflow owners. You will grow into understanding strong operational and troubleshooting skills, as well as the ability to work independently on defined tasks and collaborate effectively with cross-functional teams.About the teamWhy AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (IoT), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for their cloud services. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.BASIC QUALIFICATIONSExperience troubleshooting and debugging technical systems1+ year/s work experience requiring a security clearanceCurrent, active US Government Security Clearance of TS/SCI with Polygraph ...

Do you want to join an innovative team of scientists and engineers who use terabytes of data and create state-of-the-art Generative AI algorithms to push the boundaries of AI creativity? We are building foundational behavioral models for Amazon Stores using Generative AI, LLMs and Large Model training techniques that fuses general world knowledge, customer shopping behavior and Amazon e-commerce domain knowledge. We are looking for scientists who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry using intelligent and transformative AI applications. Working closely with cross-functional teams, you will be an essential part of every stage of AI development, from ideation and design to rigorous testing and successful deployment, ensuring our AI projects drive innovation and provide value for our customers. If you’re fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesIn this role you will leverage your background and expertise to lead developing foundational behavioral model for Amazon Stores using Generative AI, LLM and Large Model training techniques. On a day-to-day basis, you will:- Research and implement new algorithms and architectures for generative AI applications.- Optimize model performance and scalability for inference and deployment.- Collaborate with other talented applied scientists and engineers to gather and preprocess large datasets and develop an improved training infrastructure that accelerates innovation.- Experiment with SOTA methods to improve generative AI model quality.- Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- 2+ years of building models for business application experience- Experience 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 patents or publications at top-tier peer-reviewed conferences or journals ...

Revolutionize the Future of AI at the Frontier of Applied ScienceAre you a brilliant mind seeking to push the boundaries of what's possible with artificial intelligence? Join our elite team of researchers and engineers at the forefront of applied science, where we're harnessing the latest advancements in natural language processing, deep learning, and generative AI to reshape industries and unlock new realms of innovation.As an Applied Science Intern, you'll have the unique opportunity to work alongside world-renowned experts, gaining invaluable hands-on experience with cutting-edge technologies such as large language models, transformers, and neural networks. You'll dive deep into complex challenges, fine-tuning state-of-the-art models, developing novel algorithms for named entity recognition, and exploring the vast potential of generative AI.This internship is not just about executing tasks – it's about being a driving force behind groundbreaking discoveries. You'll collaborate with cross-functional teams, leveraging your expertise in statistics, recommender systems, and question answering to tackle real-world problems and deliver impactful solutions.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 LLM & GenAI Applied Science Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA; Pittsburgh, PA.Key job responsibilitiesWe are particularly interested in candidates with expertise in: LLMs, NLP/NLU, Gen AI, Transformers, Fine-Tuning, Recommendation Systems, Deep Learning, NER, Statistics, Neural Networks, Question Answering.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 LLMs and GenAI. You will tackle challenging, groundbreaking research problems on production-scale data, with a focus on recommendation systems, question answering, deep learning and generative AI.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- Collaborate with cross-functional teams to tackle complex challenges in natural language processing, computer vision, and generative AI.- Fine-tune state-of-the-art models and develop novel algorithms to push the boundaries of what's possible.- Explore the vast potential of generative AI and its applications across industries.- Attend cutting-edge research seminars and engage in thought-provoking discussions with industry luminaries.- Leverage state-of-the-art computing infrastructure and access to the latest research papers to fuel your innovation.- Present your groundbreaking work and insights to the team, fostering a culture of knowledge-sharing and continuous learningBASIC 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: Large Language Models, NLP, Natural Language Understanding, Generative AI, Transformers, Fine-tuning, Recommendation Systems, Deep Learning, Named Entity Recognition, Statistics, Neural Networks, Question Answering ...

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 cutting-edge 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 cutting-edge 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 ...

We’re working to improve shopping on Amazon using the conversational capabilities of LLMs, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, across the breadth of Amazon Shopping and AGI to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!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 Ads is dedicated to driving measurable outcomes for brand advertisers, agencies, authors, and entrepreneurs. Our ad solutions—including sponsored, display, video, and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. 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.Amazon Ads is seeking an Account Executive to join our video-focused SMB team. This is an exciting time to join a new team in a role with broad scope and the potential to make real impact. This role will be focused on driving net-new business with a prospecting mindset. Key job responsibilities- Be a true hunter, hungry to uncover opportunity and connect it with a value adding solution.- Generate a pipeline and influences buying decisions to drive revenue from new advertisers.- Establish credible relationships with ad agencies and advertiser decision makers.- Hold sales calls on existing and prospective clients, delivering superior customer service.- Prepare and deliver customized sales presentations to clients.BASIC QUALIFICATIONS- 1+ years of sales experience- Experience with online productivity tools such as Office 365, Salesforce or similar software- 1+ years of selling advertising, advertising-like services, SaaS or tech sales experience ...

Amazon AI is looking for world class scientists to join its AWS AI. This group is entrusted with developing core natural language processing, generative AI, deep learning and machine learning algorithms for AWS, with a focus on code development, broadly defined. You will invent, implement, and deploy state of the art machine learning algorithms and systems. You will build prototypes and explore conceptually new solutions. You will interact closely with our customers and with the academic community. You will be at the heart of a growing and exciting focus area for AWS Q, a generative AI–powered assistant for enterprise computing, and work with other acclaimed engineers and world famous scientists.As a senior Applied Scientist, you are recognized for your expertise, advise team members on a range of machine learning topics, and work closely with software engineers to drive the delivery of end-to-end modeling solutions. Your work focuses on ambiguous problem areas where the business problem or opportunity may not yet be defined. The problems that you take on require scientific breakthroughs.You take a long-term view of the business objectives, product roadmaps, technologies, and how they should evolve. You drive mindful discussions with customers, engineers, and scientist peers. You bring perspective and provide context for current technology choices, and make recommendations on the right modeling and component design approach to achieve the desired customer experience and business outcome.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 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 ...

The Artificial General Intelligence (AGI) team is looking for a passionate, talented, and innovative applied scientist with a strong background in deep learning, to help build industry-leading technology with Large Language Models (LLMs) and multimodal systems.Key job responsibilitiesAs an Applied Scientist with the AGI team, you will work with world-class scientists and engineers to develop novel data, modeling and engineering solutions to support the responsible AI initiatives at AGI. Your work will directly impact our customers in the form of products and services that make use of structured and unstructured content. You will leverage Amazon’s heterogeneous data sources and large-scale computing resources to accelerate advances in AGI in text/speech/audio/music domains.About the teamOur team has a mission to push the envelope of AGI in text/speech/audio/music domains, in order to provide the best-possible experience for our 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 ...

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 July/August- December 2025. This Amazon Robotics Intern opportunity will be based either 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 Advanced Product Quality Engineering (APQE) organization is seeking a talented and motivated Product Quality Engineer Intern with a desire to work with a portfolio of ground-breaking advanced technologies and interface with complex and state-of-the-art manufacturing environments. You will be responsible for working with cross functional technical teams to solve problems and deploy product improvements. You will actively work with hardware, production, and external vendors to achieve the highest quality products at the lowest cost. This is an exciting opportunity to join a talented team, work on leading edge robotic and advanced technology solutions, and drive improvements and effectiveness of operations while building your career for future opportunities.Key job responsibilitiesThe Product Quality Engineer Intern will be responsible for:* Partner with stakeholders in requirements development for new product development.* Identify continuous improvement opportunities and drive team continuous improvement initiatives.* Quality defect evaluation and internal escalation/coordination. * Assist in failure analysis.* Assist in internal quality investigations and CAPAs.* Supplier development and communication to reduce defects.* Work with field quality and maintenance engineering to triage issues.* Present findings to leadership and at Quarterly Business Reviews.* Assist in data collection and visualization.BASIC QUALIFICATIONS- Data analysis skillset and experience in using visualization tools such as Tableau- Previous experience with databases, SQL and/or scripting language(s)- Understanding of metrics, process capabilities, LEAN, databases, data collection and mining- Currently enrolled in a Bachelor’s or Master’s degree in Electrical, Mechanical, Computer, Manufacturing, Quality Engineering or related education- Currently enrolled in College/University and must have at least one semester/term/quarter of school left to complete after the end of the internship- May 2026 graduation date or later- Must be eligible and available for a full-time (40h / week) 5-6 month co-op from July/August- December 2025 ...

Amazon.com Buyer Risk Prevention (BRP) mission is to make Amazon the safest and most trusted place worldwide to transact online. BRP safeguards every financial transaction across all Amazon sites. As such, BRP designs and builds the software systems, risk models, and operational processes that minimize risk and maximize trust in Amazon.com. The BRP organization is looking for an Applied Scientist for the Buyer Abuse team, whose mission is to combine advanced analytics with investigator insight to create mechanisms to proactively reduce the impact of abuse across Amazon.Please visit https://www.amazon.science for more information on customer obsession science.Key job responsibilitiesAs an Applied Scientist, you will be responsible for modeling complex problems, discovering insights, and building algorithms that identify opportunities through statistical models, machine learning, and visualization techniques to improve operational efficiency and reduce monetary losses and improve customer trust.You will need to collaborate effectively with business and product leaders within BRP and cross-functional teams to build scalable solutions against high organizational standards. The candidate should be able to apply a breadth of tools, data sources, and ML techniques to answer a wide range of high-impact business questions and proactively present new insights in concise and effective manner.The candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business.A day in the life- Invent, implement, and deploy state of the art machine learning algorithms and systems- Build prototypes and explore conceptually new solutions- Define and conduct experiments to validate/reject hypotheses, and communicate insights and recommendations to Product and Tech teams- Take ownership of how ML solutions impact Amazon resources and Customer experience- Develop efficient data querying infrastructure for both offline and online use cases- Collaborate with cross-functional teams from multidisciplinary science, engineering and business backgrounds to enhance current automation processes- Learn and understand a broad range of Amazon’s data resources and know when, how, and which to use and which not to use.- Research and implement novel machine learning and statistical approaches- Maintain technical document and communicate results to diverse audiences with effective writing, visualizations, and presentationsBASIC QUALIFICATIONS- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field- Experience building machine learning models or developing algorithms for business application- Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning- Experience programming in Java, C++, Python or related language- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse ...

At Amazon Advertising, we're at the forefront of innovation in the advertising and eCommerce intersection. We're seeking a seasoned AdTech expert to join our Product Sales Specialist (PSS) organization as a AdTech GTM Specialist. This role is crucial in bridging the gap between our global sales teams and product development, driving adoption of of AdTech advertising solutions.The ideal candidate will be an industry veteran with deep expertise in all facets of AdTech, including both buy-side and sell-side technologies. You'll be responsible for shaping our go-to-market strategies, influencing product roadmaps, and driving demand generation initiatives that propel Amazon Advertising's growth in the competitive AdTech landscape.Key job responsibilities:- Serve as the voice of the customer and sales teams to our product organizations, defining and prioritizing global sales needs to influence product development decisions.- Develop and implement comprehensive GTM strategies and sales plays for both existing and new AdTech capabilities, focusing on areas such as data/identity solutions, supply optimization, AI/ML-driven bidding, and advanced measurement and reporting tools.- Own the end-to-end process of delivering strategic plans, from initial conception to successful execution and performance analysis.- Drive sales enablement initiatives, ensuring our global sales teams are equipped with the knowledge and tools to effectively communicate the value of our AdTech solutions.- Collaborate with Product Marketing to craft compelling narratives and positioning for our AdTech offerings.- Analyze market trends, competitive landscapes, and customer needs to identify new opportunities for growth and innovation in the AdTech space.- Develop and maintain strong relationships with key stakeholders across global sales, product, and marketing teams to ensure alignment and drive successful outcomes.- Leverage data-driven insights to inform strategic decisions and demonstrate the impact of AdTech initiatives on key business metrics.BASIC QUALIFICATIONS- 5+ years of developing, negotiating and executing business agreements experience- 5+ years of professional or military experience- Bachelor's degree- Experience developing strategies that influence leadership decisions at the organizational level- Experience managing programs across cross functional teams, building processes and coordinating release schedules ...

mmPROS Surface Research Science seeks an exceptional Applied Scientist with expertise in forecasting and risk modeling to optimize Amazon's middle mile transportation network, the backbone of its logistics operations. Amazon's middle mile transportation network utilizes a fleet of semi-trucks, trains, and air planes to transport millions of packages per day as well as other freight between warehouses, vendor facilities, and customers, on time and at low cost. The mmPROS Surface Research Science team delivers innovation, models, algorithms, and other scientific solutions to efficiently plan and operate the middle mile surface (truck and rail) transportation network. The team focuses on large-scale problems in vehicle route planning, capacity procurement, network design, forecasting, and equipment re-balancing. Your role will be to build innovative forecasting, risk quantification, and other machine learning models to decide the optimal long-term and short-term strategy for truck capacity procurement and other planning problems.Your models will impact business decisions worth billions of dollars and improve the delivery experience for millions of customers. You will operate as part of a team of innovative, experienced scientists working on machine learning and optimization problems, and you will work in close collaboration with partners across product, engineering, business intelligence, and operations. Key job responsibilities- Design, develop, and implement forecasting models, risk models, and other machine learning models to inform our hardest planning decisions.- Implement machine learning and risk models in Amazon's production software.- Lead and partner with product, engineering, and operations teams to drive modeling and technical design for complex business problems.- Lead complex modeling and data analyses to aid management in making key business decisions and set new policies.- Write documentation for scientific and business audiences.About the teamThis role is part of mmPROS Surface Research Science. Our mission is to build the most efficient and optimal transportation network on the planet, using our science and technology as our biggest advantage. We aim to leverage cutting edge technologies in optimization, operations research, and machine learning to grow our businesses and solve Amazon's unique logistical challenges.Scientists in the team work in close collaboration with each other and with partners across product, software engineering, business intelligence, and operations. They regularly interact with software engineering teams and business leadership.BASIC QUALIFICATIONS- PhD, or Master's degree and 4+ years of science, technology, engineering or related field experience- 1+ years of programming in Java, C++, Python or related language experience- Experience building machine learning models or developing algorithms for business application ...

We are seeking a highly motivated PhD Research Scientist Intern to join our robotics teams at Amazon. This internship offers a unique opportunity to work on cutting-edge robotics projects that directly impact millions of customers worldwide. You will collaborate with world-class experts, tackle groundbreaking research problems, and contribute to the development of innovative solutions that shape the future of robotics and artificial intelligence.As a Research Scientist intern, you will be challenged to apply theory into practice through experimentation and invention, develop new algorithms using modeling software and programming techniques for complex problems, implement prototypes, and work with massive datasets. You'll find yourself at the forefront of innovation, working with large language models, multi-modal models, and modern reinforcement learning techniques, especially as applied to real-world robots.Imagine waking up each morning, fueled by the excitement of solving intricate puzzles that have a direct impact on Amazon's operational excellence. Your day might begin by collaborating with cross-functional teams, exchanging ideas and insights to develop innovative solutions in robotics and AI. You'll then immerse yourself in a world of data and algorithms, leveraging your expertise in large language models and multi-modal systems to uncover hidden patterns and drive operational efficiencies.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.Amazon has positions available for Research Scientist Internships in, but not limited to, Bellevue, WA; Boston, MA; Cambridge, MA; New York, NY; Santa Clara, CA; Seattle, WA; Sunnyvale, CA, and San Francisco, CA.We are particularly interested in candidates with expertise in: Robotics, Computer Vision, Artificial Intelligence, Causal Inference, Time Series, Large Language Models, Multi-Modal Models, and Reinforcement Learning.In this role, you gain hands-on experience in applying cutting-edge analytical and AI techniques to tackle complex business challenges at scale. If you are passionate about using data-driven insights and advanced AI models to drive operational excellence in robotics, we encourage you to apply.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 have the ability to thrive in a fast-paced, ever-changing environment.A day in the lifeWork alongside global experts to develop and implement novel scalable algorithms in robotics, incorporating large language models and multi-modal systems.Develop modeling techniques that advance the state-of-the-art in areas of robotics, particularly focusing on modern reinforcement learning for real-world robotic applications.Anticipate technological advances and work with leading-edge technology in AI and robotics.Collaborate with Amazon scientists and cross-functional teams to develop and deploy cutting-edge robotics solutions into production, leveraging the latest in language models and multi-modal AI.Contribute to technical white papers, create technical roadmaps, and drive production-level projects that support Amazon Science in the intersection of robotics and advanced AI.Embrace ambiguity, maintain strong attention to detail, and thrive in a fast-paced, ever-changing environment at the forefront of AI and robotics research.BASIC QUALIFICATIONS- 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 ...

We’re working to improve shopping on Amazon using the conversational capabilities of large language models, and are searching for pioneers who are passionate about technology, innovation, and customer experience, and are ready to make a lasting impact on the industry. You'll be working with talented scientists, engineers, and technical program managers (TPM) to innovate on behalf of our customers. If you're fired up about being part of a dynamic, driven team, then this is your moment to join us on this exciting journey!Key job responsibilitiesWe seek strong Applied Scientists with domain expertise in machine learning and deep learning, transformers, generative models, large language models, computer vision and multimodal models. You will devise innovative solutions at scale, pushing the technological and science boundaries. You will guide the design, modeling, and architectural choices of state-of-the-art large language models and multimodal models. You will devise and implement new algorithms and new learning strategies and paradigms. You will be technically hands-on and drive the execution from ideation to productionization. You will work in collaborative environment with other technical and business leaders, to innovate on behalf of the customer.BASIC QUALIFICATIONS- 3+ years of building models for business application experience- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience- Experience in patents or publications at top-tier peer-reviewed conferences or journals- Experience programming in Java, C++, Python or related language- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing ...

The 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 ...

Go beyond protecting Amazon Web Services (AWS) and have a direct impact on new cutting-edge initiatives at Amazon. Work across multiple security domains as well as strategic security partnerships. Since 2006, our great team at AWS has been enabling our customers to bring great ideas to life in ways that aren’t possible in traditional IT environments. AWS Security is looking for a Security Engineer to design security controls and help validate that our services, applications, and emerging technologies are designed and implemented to the highest security standards. You will be engaging with teams creating exciting new technologies, requiring highly customized security judgment outside of existing IT and security structures. You will be responsible for analyzing the security of applications and services, discovering and addressing security issues, building security automation, and decisively taking action to remediate emerging threats throughout a full secure development life-cycle (SDLC).This role will provide career growth opportunities as you gain new security skills in the course of your work. Security engineers at AWS have an opportunity to experiment, learn, build tools, and work with teams building new technology and services at massive scale. Security engineers at all levels have the opportunity to learn from and be mentored by those who are building and securing our cutting-edge services. A security engineer is also expected to be a mentor for others and be a trusted security advisor within the organization.As a security engineer at Amazon, you are expected to have technical expertise in multiple domains and provide significant contributions to the AWS Security team and to multiple groups throughout Amazon. Security engineers are expected to develop elegant solutions to complex security risk problems and apply appropriate technologies while following security engineering best practices.As a security engineer at Amazon, you are expected to demonstrate strong Amazon leadership principles. This role requires the ability to foster constructive dialogue and seek resolution when confronted with differing opinions on security risks. Engineers in this role are expected to participate fully in the planning of the AWS Security team's work and constantly seek opportunities for process improvement.A successful candidate will need a combination of troubleshooting, technical, and communication skills. An AWS Security engineer must have the ability to take ownership and deliver on multiple complex objectives which may include project and software development work.Key job responsibilitiesYour responsibilities will include: - Shaping new services through security review of design, architecture, and implementation - Secure development life-cycle (SDLC) practices including threat modeling and security testing - Strongly influence decision-makers and stakeholders to achieve a consistently high security bar for new services - Scope and assist in penetration testing engagements for services that will operate at cloud-scale - Create security guidance and documentation for team and customers - Develop security tools and automation - Develop and deliver security training and outreach to internal development teams - Lead security projects (including security reviews, tool development, and creation of new security practices) with end-to-end ownership across AWS and Amazon initiatives - Support for mentoring, team building and recruiting activities in a company where security is a critical priority - Opportunities to communicate security findings to senior leadership across the companyAbout the teamAbout Amazon SecurityDiverse ExperiencesAmazon Security 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 Amazon Security?At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services. We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.Inclusive Team CultureIn Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness. Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.Training & 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, training, 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 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.BASIC QUALIFICATIONS- Bachelor's degree in computer science or equivalent, or relevant industry experience- 3+ years of any combination of the following: threat modeling experience, secure coding, identity management and authentication, software development, cryptography, system administration and network security experience- Knowledge of system security vulnerabilities and remediation techniques, including penetration testing and the development of exploits or equivalent- Knowledge of networking protocols such as HTTP, DNS and TCP/IP- Experience with programming languages such as Python, Java, C++ ...