This role is for a Front-End Engineer on the EC2 Core Platform team at Amazon. The engineer will build and operate web applications for EC2's pricing business, serving millions of AWS customers and internal teams. Key responsibilities include designing and implementing customer-facing pricing discovery tools, capacity marketplace consoles, and internal pricing management systems. The role also involves pioneering intelligent automation solutions using generative AI and agentic workflows to transform complex pricing operations. The engineer will work across the full stack, collaborate with cross-functional teams, and mentor junior engineers.

Software Development Engineer role in Amazon S3 Request Processing, focusing on building and enhancing services for processing customer request metadata, logging, and eventing. The role involves using distributed micro-services architectures and machine learning techniques to analyze requests at scale.

Senior Software Development Engineer role in Amazon S3 Request Processing, focusing on building and enhancing services for processing customer request metadata, logging, and eventing solutions. The role involves using distributed micro-services architectures and machine learning techniques to analyze requests at scale.

Finance Manager for AWS GenAI team, responsible for financial planning, CapEx management, and strategic feature launches for Generative AI services. Requires strong financial modeling, analytical skills, and business partnership.

This role focuses on building strategic partnerships with luxury fashion and beauty brands to expand Amazon's offerings in the luxury e-commerce space. The Senior Business Development Manager will manage the full partnership lifecycle, from identification and negotiation to ongoing relationship management, working closely with cross-functional teams to ensure successful brand onboarding and growth. The role requires deep knowledge of the luxury retail market and a solution-oriented approach to complex challenges.

This role focuses on establishing and maintaining quality frameworks for AI data services, defining quality metrics, analyzing data trends, and partnering with teams to optimize workflow quality. It involves creating prescriptive actions for quality issues and evaluating quality tools. While the company is involved in generative AI, this specific role is centered on data quality assurance and process improvement, not direct AI/ML model development or research.

This role focuses on data quality within Amazon's AGI Data Services, ensuring comprehensive quality frameworks and optimizing workflows. Responsibilities include defining quality metrics, creating actions for issues, partnering with teams, analyzing data trends, monitoring performance, handling escalations, and suggesting improvements for quality tools. While the company is investing in generative AI and LLMs, this specific role is centered on data quality assurance and process optimization, not direct AI/ML model development or research.

This role is for a Delivery Consultant on the AWS Professional Services team, focusing on designing, implementing, and managing AWS Data & Analytics solutions for customers. The consultant will lead project teams, provide technical expertise, gather requirements, propose migration strategies, and act as a trusted advisor on cloud technologies and industry trends. The role involves hands-on development and ensuring solutions meet technical and business objectives.

Software Development Engineer II role focused on building and operating critical infrastructure services for Amazon's retail platform, ensuring performance and reliability at scale. The role involves working with advanced machine learning systems and distributed infrastructure, troubleshooting problems, and implementing solutions.

Technical Program Manager for EC2 Capacity Customer Experience (CCX) team, focusing on AWS Trainium (ML chip) demand intake, planning, and ensuring infrastructure execution. This role involves customer-facing responsibilities, driving key initiatives, and collaborating with engineering, supply chain, and finance to optimize capital efficiency and customer experience.

Senior Technical Product Manager for Amazon's tablet team, focusing on creating personalized, customer-facing experiences using advanced machine learning models and intuitive UI. The role involves innovating, defining new products, delivering business requirements, and owning roadmap strategy for high-impact, high-visibility products.

Amazon's Shopbop is looking for a Video Content Creator in NYC to produce social and marketing videos. The role involves end-to-end video creation, from concept to final edit, with a focus on platform-native storytelling and trend awareness. The ideal candidate will have experience in video production, strong visual storytelling skills, and knowledge of AI/CG content creation tools, with a willingness to experiment and enhance workflows using generative AI.

This role is for a Cluster Operations Leader within Amazon Web Services (AWS) Dedicated Cloud business, focusing on operating and managing rapidly-scaling, high-availability data centers for U.S. government agencies. The position requires technical expertise in data center operations, including installation, repair, maintenance of hardware and systems, and leadership of large, geographically dispersed teams. The role involves ensuring operational performance standards in safety, security, availability, capacity, people/ID&E, and cost, as well as managing budgets and continuous improvement of operational processes. A key requirement is holding an active TS/SCI security clearance with polygraph, indicating a focus on regulated environments.

This role is for a Senior Strategic Supply Chain Manager focused on optimizing Amazon's softlines supply chain in Canada. It involves strategic planning, execution, and cross-functional collaboration to drive business growth and improve operational metrics. The role requires strong analytical capabilities, experience in end-to-end supply chain strategy, and the ability to manage large catalogs and improve processes. While the role mentions using generative AI tools to enhance workflow efficiency and learning effective prompting/evaluation practices, the core responsibilities are in supply chain management, not AI/ML development.

Executive Assistant to support two senior leaders in Amazon Selection & Catalog Systems (ASCS) team. Responsibilities include managing calendars, travel, expenses, organizing events, and ensuring timely completion of critical tasks. The role also involves developing and maintaining new mechanisms within the team and working closely with leadership, program managers, and other EAs.

This role is for a Software Engineer on the Machine Learning Server Software Team at Amazon's Annapurna Labs. The team focuses on hardware/software co-design for ML servers, developing software for server components, integration into EC2, and supporting manufacturing and qualification processes. The role involves working with C/C++, Python, and Lua to create maintainable, documented, tested, and reusable software for the physical systems that execute ML algorithms, rather than the algorithms themselves. It emphasizes system programming, device drivers, and high-speed interfaces like PCIe.

This role is for a Capacity Planning Manager within AWS Infrastructure, focusing on data center power and space supply planning. The manager will develop and improve capacity planning processes, model infrastructure utilization, and work with cross-functional teams to ensure efficient and cost-effective capacity delivery. Responsibilities include designing BI dashboards, developing predictive models, and creating automated reporting systems.

This role is for a Signal/Power Integrity Engineer at Amazon's Annapurna Labs, focusing on the design and validation of AWS next-generation machine learning ASICs. The engineer will work on SI/PI topics, advanced packaging, PCB design, and power delivery systems, using simulation tools like Hspice, Cadence, and HFSS. The role requires expertise in high-speed digital design and collaboration across teams to ensure product quality.

This role is for an ERP Solution Architect focused on designing and implementing SAP solutions, with a mention of integrating with Generative/Agentic AI and data/analytics domains. The core function is ERP architecture and implementation, not direct AI/ML model development.

This role focuses on building analytics and data infrastructure for customer operations within Amazon's satellite broadband initiative (Amazon Leo). The Business Intelligence Engineer will develop KPIs, create self-service reporting platforms, and provide data-driven insights to improve customer experience and operational efficiency. The role involves data gathering, synthesis, modeling, and communication of insights, using SQL, ETL, and data visualization tools.

Vendor Manager for Amazon Fashion responsible for managing vendor relationships, driving profitability, and optimizing product selection and performance. The role involves analytical deep dives, cross-functional collaboration, and strategic planning for category growth. Experience with generative AI tools for workflow efficiency is preferred.

Applied Scientist role at Amazon Web Services (AWS) Center for Quantum Computing focusing on experimental quantum computing. Responsibilities include developing and enhancing quantum processor building blocks, devising new physical metrology techniques, and building experiments across the integrated stack (design, fabrication, cryogenics, signal chain, control stack). The role requires a strong foundation in experimental physics, a track record of scientific contributions, and experience with measurement techniques, with a preference for low-temperature condensed matter physics.

This role focuses on assessing and optimizing the thermal performance of consumer electronic devices, specifically Amazon Leo satellites. The responsibilities include developing thermal solutions, performing simulations using tools like Star-CCM+, validating designs, and collaborating with engineering teams. The role requires expertise in thermal analysis, materials, and statistical methods, with a strong emphasis on simulation and testing for product development and manufacturing release.

This role is for a Delivery Consultant on the Amazon Web Services (AWS) Professional Services team. The consultant will design, implement, and manage AWS solutions for customers, focusing on cloud architecture, migration strategies, and technical guidance. The role requires a strong understanding of AWS services and the ability to act as a trusted advisor to clients. A TS/SCI security clearance with polygraph is mandatory.

This role is for a Security Solutions Architect at AWS, focusing on helping customers design and implement secure cloud architectures, meet compliance requirements, and manage enterprise risk. It involves technical engagement, customer workshops, and developing expertise in AWS security services.

This internship focuses on applying econometrics, statistics, and machine learning to improve forecasting and product launch success within Amazon Private Brands. The intern will build datasets, perform quantitative analysis, and collaborate with economists and scientists, with a focus on macroeconomics and forecasting skillsets.

This role focuses on fraud risk analysis and mitigation within Amazon's B2B Payments & Lending division. The analyst will conduct investigations, use data to identify risk patterns, and manage projects to improve operational efficiency. The role requires strong analytical skills, judgment, and experience with fraud-related systems and data analysis, including SQL and Python.

This role is for a Senior Software Engineer at Amazon's Annapurna Labs, focusing on developing software for machine learning accelerator platforms. Responsibilities include initializing accelerators, monitoring server health, optimizing firmware performance, developing tests, building systems software, and creating data collection and error mitigation systems at AWS scale. The role emphasizes automation, best practices, and cross-functional collaboration with hardware and software teams.

Software Development Engineer II role at Amazon focused on optimizing worldwide transportation logistics using workflows, optimization algorithms, and machine learning systems. This involves working on large-scale distributed systems that handle millions of packages, improving existing services, and building new ones to enhance customer experience and network operations.

Software Development Engineer III role focused on Amazon's global fulfillment network, optimizing worldwide transportation using workflows, optimization algorithms, and machine learning systems. The role involves working on large-scale distributed systems to improve customer experience and network operations.

Engineering Manager for a SoC Platform Software team at AWS, focusing on the Hardware Abstraction Layer (HAL) for ML accelerator chips (Trainium and Inferentia). The role involves managing a team of engineers to develop and maintain a single C++ codebase that compiles and runs across three different execution environments: chip verification, system emulation, and production microcontrollers. The team's work enables ML training across clusters of accelerators, but the role itself does not require ML expertise, focusing instead on platform software, hardware-software interaction, and API design.

Senior Technical Program Manager (TPM) to lead complex, cross-functional programs for Amazon's WW Promotions team. The role involves collaborating with engineering, machine learning, data governance, and business teams to transform promotional data into actionable insights. Responsibilities include owning program development and delivery, leading planning and execution, communicating technical delivery to senior leadership, supporting sprint planning and roadmapping, identifying automation opportunities, and defining strategy with global stakeholders.

AWS Technical Account Manager (TAM) role focused on guiding enterprise customers in adopting and optimizing AWS cloud services. The role involves acting as a trusted advisor, providing strategic technical guidance, ensuring operational health of cloud environments, and building strong customer relationships. It requires experience in cloud operations, technical engineering, and understanding customer business needs to drive value from AWS.

This role manages a team of Data Collection owners who consult on ML/Gen AI data collections and own execution. The manager will drive business value by ensuring team efficiency, managing escalations, and building customer partnerships. They will also have the technical capability to step in and manage challenging collections.

Senior Enterprise Account Manager for AWS Financial Services sector in the UK, focusing on driving cloud adoption and digital transformation for strategic customers. Requires strong enterprise sales, FSI domain expertise, and ability to manage complex relationships and drive revenue growth.

Software Development Engineer role focused on building scalable, distributed real-time systems for product sustainability and customer experience within Amazon's Returns team. Emphasizes core software engineering principles, distributed systems, and object-oriented design.

Executive Assistant role supporting senior leaders in the Global Real Estate and Facilities (GREF) organization. Responsibilities include calendar management, meeting organization, travel coordination, and supporting operational planning. Requires strong organizational skills, attention to detail, and business acumen. The role is 5 days a week in office in Seattle, WA.

This role is for a Senior Business Intelligence Engineer focused on providing analytical capabilities and robust reporting frameworks for operations within Amazon's IN-ECCF regions. The engineer will conduct deep-dive analyses, unearth insights from data, and collaborate with stakeholders to drive process excellence. The role requires strong statistical knowledge, analytical abilities, business intelligence solutions experience, and data engineering practices.

Technical Account Manager (TAM) for AWS Enterprise Support, focusing on customer success in building applications and services on the AWS platform. Responsibilities include acting as a single point of contact, providing expert advice on AWS services, making service improvement recommendations, evaluating operational performance, championing customer requirements, and planning business-critical events.

Software Development Engineer II role at Amazon focusing on building and maintaining global payments products and solutions. The role involves designing and developing next-generation payment systems, managing a financial services ad serving platform, and contributing to a merchandising automation platform powered by machine learning for financial products. Responsibilities include backend service development, API design, system optimization, and ensuring production system health.

Software Development Engineer for AWS Marketplace, focusing on building and maintaining user-facing features with React.js and designing/developing server-side applications and APIs. The role involves creating scalable backend architectures, integrating third-party services, and collaborating with cross-functional teams to deliver high-quality technology products in a complex, hyper-growth environment.

Senior Financial Analyst role focused on financial data analysis, forecasting, and reporting within Amazon's Worldwide Retail Growth & Development team. The role involves asset management, forecast validation, data integrity, and cross-functional coordination. While the role mentions leveraging AI/ML for efficiency, its core responsibilities are traditional finance functions.

This role is for a Senior UCIe PHY Expert to work on the design, integration, validation, and data center operation of AWS's next-generation machine learning silicon and servers. The focus is on hardware/software co-design for ML accelerators, specifically involving UCIe, SERDES, and high-speed analog technologies to create stable ML platforms. Responsibilities include collaborating with architects and software engineers, supporting debug and operations of ML chips, diving deep into IP integration and silicon bring-up, and developing scripts for daily tasks. The role also involves operational excellence, identifying and prototyping solutions, leading data collection, and mentoring team members.

This role is for a Sr. System Development Engineer focused on the Global Engineering team within Amazon's fulfillment centers. The primary responsibility is to vet and test robotics and automated systems before large-scale deployment, using methodologies like test-to-fail, discrete event modeling, and site integration testing. The role involves designing and leading experiments, rapid prototyping, data analysis, and developing lab infrastructure to ensure automated systems meet performance targets. While ML and robotics are mentioned as technologies used in the broader context, the core of this role is in system development, engineering, and validation of these systems, rather than direct AI/ML model development or deployment.

Program Manager II for Alexa Shopping Operations, focusing on enabling Amazon's LLMs through RLHF and providing end-to-end data solutions for the LLM lifecycle. Responsibilities include project planning, execution, stakeholder management, strategic analysis, and change management to ensure efficient and effective program delivery and continuous improvement.

Senior Developer Advocate for AWS, focusing on empowering developers to use AWS services, including generative AI, through content creation, technical presentations, and community engagement.

Finance Manager role supporting Generative AI services within AWS, focusing on financial planning, CapEx management, and strategic feature launches. Requires strong financial analysis, business partnership, and communication skills.