Careers

Are you excited about improving Amazon's next generation robotic storage systems through modeling and simulation? Are you looking for opportunities to apply this expertise on real problems at truly vast scale? At Amazon Fulfillment Technologies and Robotics we are on a mission to build high-performance autonomous systems that perceive and act to further improve our world-class customer experience - at Amazon scale. We are looking for enthusiastic scientists for a variety of roles. The Research team at Amazon Robotics is seeking a passionate, collaborative, hands-on Research Scientist to quantify the performance of Amazon's next generation robotic warehouse concepts through simulation modeling and analysis. The focus of this position is to simulate multiple concepts and scenarios to provide insights to solution designers to help down-select options and solidify the design. It includes modelling new robotic systems and workflows, and applying statistical methods to analyze outcomes. This work spans from mathematical modelling, to statistical analysis, to concept simulation, to software-in-the-loop simulation, to running large-scale A/B tests on robots in our facilities. The ideal candidate for this position will be familiar with statistical analysis and mathematical modeling techniques at both the theoretical and implementation levels. You will have the chance to solve complex scientific problems and see your solutions come to life in Amazon’s warehouses! Key job responsibilities * Mathematical modeling - Building mathematical models to describe early stage concepts to help down-select the design prior to simulation modeling and analysis. * Input curation and validation - derive suitable inputs for simulation through a combination of historical data, data augmentation, and synthetic data generation where appropriate. Validate the suitability of these inputs for the analysis of interest. * Simulation analysis - Insights from simulation data or ad-hoc experimentation using statistical methodologies. * Research delivery - Proving/dis-proving strategies in offline data or in simulation A day in the life On a typical day in this role you will work to progress your research projects, meet with engineering, systems, and solutions stakeholders, brainstorm with other scientists on the team, and participate in team processes. You will follow your modeling and simulation projects though the entire life cycle of design, implementation, evaluation, analysis, and will communicate your findings and results through technical papers and reports. You will consult with engineering teams as they incorporate your models and analyses into system and process designs. Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply! About the team Our multi-disciplinary science team includes scientists with backgrounds in simulation, planning and scheduling, grasping and manipulation, machine learning, and operations research. We develop novel planning algorithms and machine learning methods and apply them to real-word robotic warehouses, including: * Planning and coordinating the paths of thousands of robots * Dynamic allocation and scheduling of tasks to thousands of robots * Learning how to adapt system behavior to varying operating conditions * Co-design of robotic logistics processes and the algorithms to optimize them Our team also serves as a hub to foster innovation and support scientists across Amazon Robotics. We also coordinate research engagements with academia, such as the Robotics section of the Amazon Research Awards. We are open to hiring candidates to work out of one of the following locations: North Reading, MA, USA

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Are you an experienced in sustainability science professional who is passionate about making a big impact? Are you interested in a high impact role at the world’s preeminent cloud computing company? The AWS Sustainability Science team is hiring a Sr. Sustainability Scientist. This role will support our Climate Pledge goal of net zero carbon by 2040 by developing scalable methods and models to assess and improve the environmental impacts of AWS data centers and cloud computing services from manufacturing, transportation, use, and end-of-life. This work will drive a deeper understanding of AWS’s environmental impacts, and enable strategic management of our carbon emissions. The ideal candidate will have industry experience in driving Life Cycle Assessments (LCAs) of products and services, possess a strong understanding of the GHG Protocol and carbon accounting practices, and have a detailed knowledge of manufacturing, design, development, and/or sourcing. The candidate should be comfortable working with imperfect data, identifying sources of uncertainty, and finding public data to fill the gaps where needed. The successful candidate must have strong analytical skills and the ability to apply systems thinking to complex, fast moving problems. The candidate should have familiarity with LCA methods and applications. The successful candidate will act as a subject matter expert, including designing research, gathering data, interpreting results, and developing metrics and reports. The candidate will coordinate with cross-functional project teams in gathering and analyzing large amounts of data. Key job responsibilities In this role you will be responsible for: * Serving as an AWS subject matter expert in Sustainability * Developing Life Cycle Assessment (LCA) methodologies to ensure AWS has an accurate and credible basis for sustainability efforts. * Developing internal LCA models for AWS infrastructure and services including server hardware and mechanical and electrical systems * Conducting LCAs including research, data collection, modeling, data analysis, data visualization, and reporting to quantify environmental impacts of our data centers and cloud computing services * Developing reports, dashboards and metrics which distill complex data into actionable insights to inform improvements * Building and developing relationships with internal and external stakeholders to drive programs to completion * Work closely with software engineering teams to drive real-time model implementations and new features * Having fun and working hard! A day in the life Each day you will interact with different teams responsible for all aspects of hardware and data centers. Your work will span the life cycle of our operations and allow you to influence how we develop and implement sustainability practices. You will have the opportunity to work on projects locally and globally. About the team 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. 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. 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. 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. 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. We are open to hiring candidates to work out of one of the following locations: Arlington, VA, USA | Seattle, WA, USA

This position involves developing advanced ML/DL models that continually improve Prime Video's Content Adaptive Encoding (CAE) practices for Video-on-demand (VoD) streaming use-case. You will work closely with subject matter experts (Research Scientists) with depth in the video encoding/quality/processing areas to maximize the video quality that Prime Video customers experience under a given network condition. Your work would directly influence the customer experience and will also help drive efficiency related business goals. The work would involve working with creation and cleaning of ground-truth datasets driving the model, feature engineering, development of classification or regression ML/DL models with high accuracy, optimization and deployment of such models in production workflow, and defining/measuring suitable at-scale success criteria. Key job responsibilities You would develop ML/DL based classification/regression models based on content properties across the processing chain involved in encoding, including changes within modern encoders to reduce run-time or to improve the level of adaptation to content properties. You would work across multiple codecs including next-gen codecs, standard and High Dynamic range content. Aspects of work can involve scene understanding at a semantic level using latest techniques. You would develop innovative solutions that achieve the best balance between speed vs performance. You would work under the guidance of research scientists. You would conduct subjective ratings tests to generate ground truth data for your models, when required. You would develop novel approaches to perform fast searches in high dimensional parameter space. You would contribute to development of new video quality models that correlate highly with subjective ratings. A day in the life You will work with L5-L8 Research Scientists within the team who will bring the specific problem definition required to set and meet annual goals, 3Y/5Y roadmap items. You will work with University partners who help PV explore new problem areas. You will interface with SDEs to convert the output of the research team into production workflows. You will develop new AI workflows that are more efficient from a compute perspective. You will write disclosures capturing innovative ideas in realizing low complexity, highly performant ML/DL methods and will then publish papers in internal and external conferences. About the team Our mission is to build and operate the most innovative video streaming technology stack that provides the best customer-centric streaming experience for VOD and Live globally and supports all business use cases (subscription, transactional, ad-supported). We invent and implement technologies that deliver a flawless, engaging streaming experience for our customers, using the fewest bits possible. We commit to our values of respect and integrity by creating a work environment that is supportive, diverse, inspiring, and inclusive. We are open to hiring candidates to work out of one of the following locations: Bangalore, KA, IND

Amazon is looking for a talented Postdoctoral Scientist to join our Perfect Order Experience (POE), Trustworthy Shopping Experience (TSE) team for a one-year, full-time research position. Postdoctoral Scientists will drive data-driven innovations in decision optimization and causal inference. In this role, you will have the opportunity to: - Leverage advanced statistical techniques and machine learning models to extract valuable insights from historical data and comparable item information. - Tackle data scarcity challenges by developing innovative approaches to maximize the utility of available data sources. - Collaborate with cross-functional teams to develop and deploy production-ready solutions. - Participate in research activities, including publishing papers, attending conferences, and collaborating with academic institutions to advance the state-of-the-art in relevant fields. Key job responsibilities In this role you will: • Work closely with a senior science advisor, collaborate with other scientists and engineers, and be part of Amazon’s vibrant and diverse global science community. • Publish your innovation in top-tier academic venues and hone your presentation skills. • Be inspired by challenges and opportunities to invent cutting-edge techniques in your area(s) of expertise. About the team We are a Center of Excellence of building economic solutions to optimize the return of investment at the program level and at the decision level. We focus on projects that have the largest impact and greatest long term potential across the business. Our products are models, scalable services and actionable insights. We proactively identify and explore opportunities on behalf of our business partners. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

At Prime Video we are inventing a customer-centric future that offers more choice and flexibility than traditional Cable, Satellite television and other streaming providers. Where you can watch video content such as Prime Originals (Fallout, The Boys, The Marvelous Mrs. Maisel), movies, TV shows, Live sports (Thursday Night Football, English Premier League), local programming and hundreds of add-on subscriptions such as HBO max and Paramount+, anytime anywhere. All on your terms instead of having to pay for an expensive one-size-fits-all bundled package or be locked into long term contracts. The Global App Experience organization operates at a global scale and is a critical part of Prime Video’s flywheel. We own Prime Video's “last mile” customer experience including all the client apps (Android, iOS, Web, Living Room Smart TVs, set top boxes, Windows10, Mac OSX, gaming consoles) that enable customers in more than 200 countries and territories to find, discover and stream Prime Video content. We also own tier-1 services that act as aggregators and orchestrators between all of Prime Video's clients and Amazon's large backend service graph, providing authoritative APIs that reduce the complexity, cost and time to develop and launch features to our customers. Our client apps are the gateway to the Prime Video experience, enabling customers to quickly find something to watch at which point the app fades in the background and the customer is immersed in the storytelling. If you are passionate about film, sport or TV and you’re looking for a role where you can maximize your impact as a world class Principal Applied Scientist then come help us achieve our mission of building the most customer-centric, immersive and visually-rich video streaming experience on any device. Key job responsibilities As a Principal Applied Scientist in the Prime Video Global App Experience organization you will have deep subject matter expertise in applied machine learning. You will work with multiple teams of scientists, engineers and product managers to translate business and functional requirements into concrete deliverables. The field of Artificial Intelligence and Machine learning is experiencing unprecedented innovation and while it is important to know how recent advancements, such as GenAI, can be applied to develop new approaches to improve customer, developer and business outcomes, you'll work backwards from the desired outcomes to determine which ML technique is best applicable (traditional ML, GenAI, etc). Problem spaces you will be working on include: improving the customer experience in the PV apps, reducing the cost/effort/time to detect defects in the customer experience, applying ML to all aspects of the software development process to allow us to develop and release features faster and improving availability, app fluidity and latency. You will also work with external academic partners to support our in-house talent with direct access to cutting edge research and mentoring. We are open to hiring candidates to work out of one of the following locations: Austin, TX, USA | Dallas, TX, USA | Seattle, WA, USA

Amazon Advertising is one of Amazon's fastest growing and most profitable businesses, responsible for defining and delivering a collection of advertising solutions that drive product discovery and sales. We deliver billions of ad impressions every single day on behalf of our advertisers. You'll work with us to help our Advertising teams make sense of the torrent of data produced by the advertising lifecycle. We are using cutting edge generative AI to help teams generate insights faster based on our massive data lake. You will need to invent new techniques for metrics retrieval and SQL generation to ensure we're retrieving accurate and trusted data. You'll create feedback loops to ensure our solution is constantly evaluating itself and improving. Being that this is for a conversational AI position, here is what our bot replied when we prompted it for a job description of who should help build it: Role Overview: We are looking for an exceptional applied scientist to join our team building SpektrBot, a conversational AI assistant that helps data engineers and analysts with their workflows. You will work closely with engineers and product managers to design, implement, and optimize natural language processing models like intent classification, named entity recognition, question answering, etc. that enable our Ads chatbot to understand user requests and have natural conversations. Responsibilities: - Study and understand data engineering and analytics workflows to design the right conversational experiences - Research, design, and develop NLP/NLU models for intent classification, entity extraction, sentiment analysis etc. - Continuously improve models through techniques like active learning, transfer learning etc. - Optimize models for metrics like precision, recall, latency, interpretability etc. - Implement models within overall bot architecture and integrate with backend systems - Collaborate with engineers to productionize and monitor models - Stay up-to-date on latest advancements in conversational AI research, specifically in LLMs (multi-agent, chain of thought, autonomous agents) - Be familiar with optimizing retrievers in RAG architectures. Key job responsibilities You will test multiple foundational models and fine tune when appropriate. You will create feedback loops that will evaluate performance and improve our systems. You will optimize prompts for better responses from our LLMs. You will build tools to auto-curate metadata using LLMs. A day in the life 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. About the team We have a small scrappy team carved out from a large Ads wide data lake team. We are swimming in petabytes of data that we help the organization make sense of. Our team's mission is to help anyone in the Ads org find the data they need using only natural language. We are a supportive and collaborative team who iterates quickly and shares in each others' successes. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

Amazon is seeking a passionate, talented, and inventive Applied Scientist with a strong machine learning background and familiarity with LLMs to help build automated insights and generative AI tools to accelerate our customers' journey to the cloud. This is a high-visibility role with significant impact potential. About you: You, as the right candidate, are adept at executing every stage of the machine learning development life cycle in a business setting; from initial requirements gathering to through final model deployment, including adoption measurement and improvement. You will be working with large volumes of structured and unstructured data spread across multiple databases and can design and implement data pipelines to clean and merge these data for research and modeling. You will invent, implement, and deploy state of the art machine learning and generative AI algorithms and systems. You will build prototypes and explore conceptually large scale ML solutions. You will interact closely with our customers and with the academic community. Beyond mathematical understanding, you have a deep intuition for machine learning algorithms that allows you to translate business problems into the right machine learning, data science, and/or statistical solutions. You’re able to pick up and grasp new research and identify applications or extensions within the team. You’re talented at communicating your results clearly to business owners in concise, non-technical language. Key job responsibilities What you will do - Work with a product managers, scientists and engineers to define and build business problems. - Research, develop, and deliver machine learning & LLM based solutions in close partnership with end users, other science and engineering teams, and business stakeholders. - Use AWS services like SageMaker and Bedrock to deploy scalable ML models in the cloud. About the team About AWS Diverse Experiences 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 (gender diversity) 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. About Sales, Marketing and Global Services (SMGS) AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

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 team 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. Diverse Experiences 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 (gender diversity) 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. Hybrid Work We value innovation and recognize this sometimes requires uninterrupted time to focus on a build. We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our US Amazon offices. We are open to hiring candidates to work out of one of the following locations: Santa Clara, CA, USA

The Automated Profitability Management (APM) team’s vision is to offer the world’s most advanced suite of products to optimize and manage the contractual agreements between a retailer and its suppliers. Our teams build software and machine learning models to optimize contract negotiations, and exchange of goods between Amazon Retail and tens of thousands of brands offering millions of products available to hundreds of millions of Amazon customers worldwide. We handle product costs (How much should Amazon pay for this product?) but also cover supply chain (Who pays the initial shipping costs?), marketing (Should a vendor fund advertising?), reverse-logistics (Who pays for damaged products? What about unsold inventory?) and more. Our mission is to provide to our customers the world’s largest product assortment at competitive prices, through long term partnership with our vendors. Key job responsibilities Develop, prototype, and deploy machine learning models to improve our understanding of product cost drivers and optimize negotiation strategies with vendors. Guide the multi-year vision for science investments within APM across core negotiation systems, and contract systems. Raise the technical bar for the other scientists and machine learning engineers in the organization. Collaborate with product managers, applied scientists, economists, and software developers to incorporate models into production processes. Represent APM in front of senior Amazon Retail leaders and internal partners to articulate how science investments can improve selection available to customers. We are open to hiring candidates to work out of one of the following locations: Seattle, WA, USA

Are you a Sr. Applied Scientist interested in all things cyber security? Do you enjoy developing state of the art ML, and LLM based systems? Are you interested in working on ground-breaking projects that will drive new innovations in how teams manage software security? Do you want to explore the boundaries of A.I. based automation? If yes, this team is for you! The Defensive Security organization is pioneering new methods to enable innovative ways in how security teams keep Amazon safe. We are looking for a scientist to join a team of software and security engineers in building a specialized product that deals with security findings and incidents at scale. In this role you will be a founding member of a new science initiative on a ground breaking new product. You will develop key technological A.I. advancements and ML models that will power a new suite of tools. These tools will empower 200+ security engineers world wide to keep Amazon secure. As part of the Defensive Security organization you will enable Amazon to maintain customer trust through broad security initiatives. As the leading contributor of Defensive Security's A.I. initiatives, you will be on the forefront of resolving security findings at Amazon scale. Key job responsibilities - You will derive novel M.L. models for classification, and prediction using LLMs/LMMs/LAMs. - You will design and develop scalable ML models. - You will work with large datasets (Petabyte scale). - You will with large GPU clusters to train and deploy models. - You will work closely within software/security engineering teams to deploy your models, and test the quality of their impacts. - You will publish your work at major conferences/journals. - You will create written communication briefing findings, and observations for executive leadership. - You will mentor team members in the use of your AI models. A day in the life A day in the life involves meeting Vulnerability Management and Incident Responder teams to review data flows, prediction use cases, and automation gaps. From here you will research data sets, working with security/software engineers to retrieve data needed for your analysis and explorations. Once you have framed the problems, you will conduct experiments, regressions, and various analysis activities to find insights. You will develop and train models that will then be placed into a production environment with the help of software engineers. You will then work with your security team partners to understand the effectiveness of the models created. About the team The Defensive Security team is small, tight-knit, and located in Austin, Texas. It is primarily software engineers, but will be developed into a hybrid team of software engineers and security engineers. This team will have tenured Amazonian leadership, with a track record of mentoring, coaching, and career progression support. About Amazon Security Diverse Experiences — Amazon 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 Culture — In 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 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, training, 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 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. We are open to hiring candidates to work out of one of the following locations: Austin, TX, USA | Seattle, WA, USA