Principal Applied Scientist role focused on applying machine learning, optimization, and economics to improve Amazon's Stores business, specifically in areas like delivery speed, seller fees, and LLM applications. The role involves leading a team, developing scientific models, benchmarks, and services, and deploying solutions in partnership with product teams.

Data Scientist II role focused on building AI/ML models and Gen AI solutions for supply chain optimization, including inventory planning, dispute evaluation, and vendor coaching. The role involves developing analytical frameworks, setting optimal parameters, and collaborating with cross-functional teams to implement and automate science solutions.

This is a Software Development Engineer role within AWS, with a specialization in Artificial Intelligence/Machine Learning. The role involves designing, developing, and maintaining code for AI/ML systems, collaborating with cross-functional teams, and potentially working with ML frameworks and LLM fundamentals. The primary focus is on the engineering aspects of AI/ML, likely involving serving and infrastructure.

This role focuses on driving profitability improvements in Amazon Grocery through strategic vendor programs and business process automation, leveraging AI-powered tools. The Vendor Manager will lead projects, analyze data, partner with tech teams, and improve processes to enhance vendor funding and overall P&L. The role requires strong program management, analytical skills, and experience in implementing automation solutions.

Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development.

Product Manager role focused on defining the vision and strategy for AI-powered creative intelligence and optimization systems within Amazon Ads. The role involves owning the product definition for closed-loop systems that improve creative performance, establishing quality frameworks, and driving cross-organizational alignment. The goal is to make personalized, high-performing creative a foundational layer of advertising.

Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development.

Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development.

Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development.

Senior Manager role for Amazon's Gift Card business, focusing on end-to-end fraud prevention strategy. This role involves strategic planning, roadmap ownership, and leading cross-functional teams including Machine Learning, Product, and Tech to reduce fraud and ensure a frictionless customer experience. Key responsibilities include driving fraud reduction through ML model enhancements, detection signals, and establishing AI-driven real-time decisioning frameworks.

Data Scientist role focused on building and guiding data-driven frameworks for ad experience personalization, yield optimization, and monetization within Prime Video. This involves using advanced statistical and machine learning techniques on large-scale data, designing end-to-end data science workflows, building and maintaining statistical models for various ad-related predictions, and partnering with product and economics teams to design experiments and measure impact. The role aims to improve customer experience and advertiser results, supporting hundreds of millions of users.

This role is for a Sr. Business Intelligence Engineer focused on FBA Analytics at Amazon. The primary responsibilities involve developing analytical methods, KPIs, and dashboards, and building AI workflows to support data-driven strategic decisions. The role requires strong SQL, data processing, and statistical analysis skills, with experience in AWS technologies and scripting for automation. While it mentions building AI workflows and using machine learning, the core focus is on business intelligence and analytics rather than core AI/ML model development.

This role focuses on building AI workflows and using ML/statistical techniques to analyze business data and inform product strategy within the FBA analytics team. It involves developing metrics, dashboards, and automated reporting, with a preference for experience leveraging generative AI tools.

Economist to develop science behind measuring and optimizing B2B marketing investment for AWS. This is a greenfield opportunity to build a brand measurement capability from the ground up, defining frameworks, methodologies, and best practices. The role involves developing econometric models to estimate the causal impact of brand awareness on customer preferences, acquisition costs, and revenue, and quantifying optimal brand investment and returns. It requires applying causal inference methods suited to long-horizon, slow-moving brand effects and partnering with marketing, finance, and strategy teams to translate findings into actionable recommendations. The role also involves consulting with business stakeholders and staying current on brand measurement literature.

This role builds and operates the software-defined networking stack for AWS EC2, focusing on the infrastructure that powers large-scale machine learning workloads. The engineer will write low-level systems code in C and Rust for custom hardware, dealing with network virtualization, packet processing, and availability mechanisms to ensure high performance and low latency for demanding AI training and inference tasks.

This role builds and operates the software-defined networking stack for AWS EC2, focusing on the infrastructure that powers large-scale machine learning workloads. The engineer will write low-level systems code in C and Rust for custom hardware, dealing with network virtualization, packet processing, and availability mechanisms to ensure high performance and low latency for demanding AI training and inference tasks.

Solutions Architect III for AWS, focusing on guiding customers in designing and implementing cloud architectures, including Generative AI solutions like Amazon Bedrock. The role involves technical leadership, trusted advisory, influencing product roadmaps, and creating thought leadership content.

Senior Financial Analyst role at AWS focused on sales pipeline analysis and revenue forecasting. The role involves modeling financial data, building reporting mechanisms, and developing analytical frameworks. A key responsibility is to build automated, GenAI-powered reporting and analysis workflows to accelerate pipeline insight generation, indicating the use of AI tools to enhance existing financial analysis processes.

This role is for a Senior Business Intelligence Engineer within AWS Marketplace & Partner Services. The primary focus is on architecting and deploying agentic data experiences, semantic models, and automated frameworks that transform raw data into business-ready insights. The engineer will enable data-driven decision-making by delivering reporting frameworks, deep-dive analyses, and self-service analytics tools, including AI-powered agents and semantic layers. The role involves translating complex data into stakeholder-ready narratives and partnering with Product, Engineering, and Data Engineering teams.

Software Development Manager to lead the Vendor Funding Booking team in building GenAI-powered solutions for Amazon Retail's financial systems, focusing on profitability and growth. The role involves owning a high-throughput software stack contributing billions of dollars monthly, driving vision, strategy, and the full development lifecycle for Finance and Accounting platforms.

Research Scientist role focused on measuring and optimizing marketing activities for Amazon Music using causal models and RCTs. The role involves designing, building, and validating causal models, conducting randomized controlled trials, performing statistical analysis, and providing data-driven recommendations to marketing teams. It requires a strong background in consumer research, causal inference, and statistical analysis, with the ability to translate complex data into actionable insights.

This role is for a Senior Product Manager Technical within AWS Applied AI Solutions, focusing on AWS Deadline Cloud. The primary responsibility is to define and drive the product strategy, roadmap, and go-to-market for a cloud-based render management service. The role involves working with customers, engineering, and go-to-market teams to deliver features, with a specific emphasis on identifying and integrating AI/ML capabilities to enhance the service, such as AI-powered troubleshooting and intelligent scheduling. The role operates in a fast-paced, startup-like environment within AWS, aiming to make cloud rendering simple, scalable, and cost-effective for creative professionals.

This role supports the AWS Cloud Innovation Center (CIC) by building and maintaining a pipeline of technical prototyping engagements for student workers, organizing executive innovation events, and contributing to the program's broader growth strategy. The goal is to enable student developers to build scalable solutions for public sector organizations, accelerating their cloud and AI journey.

This role supports ML model development by performing data annotation and assisting data scientists with classification algorithms. The focus is on ensuring high-quality annotated data for training and evaluation, and improving annotation processes.

This role is for a Senior Product Manager, Technical, focused on creating and building critical services that automatically generate, target, and optimize Amazon's cross-category marketing and merchandising using generative AI. The role involves leading projects with distributed systems, generative AI integration, real-time personalization, and multi-channel orchestration, impacting how customers discover products at scale.

This role owns and scales a partner-led AI prototyping program for AWS, focusing on scaling proven AI patterns like LLMs, RAG, and autonomous agents through technology partners. The TPM will design and run enablement programs, create reusable assets, and track KPIs to drive AI adoption.

This role is for an Assurance Solutions Architect within AWS Security Assurance Services, focusing on helping enterprise customers migrate sensitive workloads to the cloud by addressing risk, regulatory, and compliance requirements. The role involves designing and implementing scalable security and compliance solutions, educating customers on AWS services, and contributing to the security assurance practice. While the role interacts with generative AI and security assurance services, its core function is not building AI models but rather ensuring customer compliance and security in the cloud environment.

This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves advising customers on security and compliance strategies, translating requirements into scalable solutions, and demonstrating how to achieve compliance in the AWS cloud. While generative AI tools are mentioned as a way to augment productivity, the core function of the role is not AI/ML development but rather applying security and compliance expertise to cloud architectures.

The Principal Technical Program Manager will lead strategic initiatives for the Alexa AI Developer Tech team, focusing on building AI-native SDKs and tools for developers to create engaging customer experiences for Alexa+. This role involves managing programs across cross-functional teams, driving technical requirements, and ensuring the successful launch of new features for a next-generation AI assistant.

Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals.

This role is for a Principal Product Manager, Technical, focused on building an enterprise-wide workforce planning solution that leverages AI and machine learning for data-driven decision-making by senior leaders. The role involves designing and building integrated planning systems with AI-driven recommendations, creating intuitive interfaces, and driving project execution from concept to completion in a high-visibility, high-ambiguity environment.

Solutions Architect for US Federal Civilian Government agencies, focusing on implementing AWS solutions involving AI/ML, security, compute, storage, networking, serverless, and analytics. Acts as a subject matter expert on Generative AI/ML, owning technical engagements and defining implementation architectures. Requires strong AWS background, communication skills, and understanding of US Federal Government best practices for cloud solutions. Experience with Generative AI application building and deployment is preferred.

This role is a Business Development/Capture Manager for AWS National Security, focusing on selling cloud services and advanced AI capabilities to the US Government. The primary responsibility is to develop and manage a pipeline of cloud-related opportunities, create bid strategies, and oversee proposal development for government contracts. While AI/ML and GenAI are mentioned as capabilities to be sold, the core function of the role is business development and sales within the enterprise AI domain, not direct AI/ML development.

Senior Financial Analyst role supporting the finance team for Amazon Advertising's AI Core Infrastructure (ACI) organization, which builds foundational AI/ML infrastructure. Responsibilities include financial modeling, business opportunity evaluation, financial reporting, and cost optimization for inference infrastructure. Requires strong financial modeling, problem-solving, and communication skills, with experience in fast-paced and ambiguous environments.

Business Development/Capture Manager for AWS focusing on the National Security GEOINT market segment, responsible for developing and executing strategies to drive cloud adoption and win large government contracts. Requires deep industry knowledge, capture management experience, and a strong understanding of government acquisition processes. While AI capabilities are mentioned as part of AWS offerings, the core function of this role is business development and sales within the defense sector.

This role focuses on optimizing Amazon's global logistics and fleet operations using AI and machine learning, aiming to reduce turnaround times and maximize vehicle utilization. The Sr. Supply Chain Manager will lead strategic initiatives, develop AI/ML solutions for network capacity and resource allocation, analyze complex data, design automation mechanisms, and collaborate with stakeholders.

This role focuses on applying Operations Research, Optimization, and Supply Chain principles, with an integration of Gen AI, to solve large-scale problems in inventory management, sales planning, and distribution for Amazon Devices. The scientist will design, develop, and deploy mathematical and simulation models, and work with cross-functional teams to optimize business operations and drive financial impact.

This role is for an Assurance Solutions Architect within AWS Security Assurance Services. The primary focus is on helping enterprise customers design, build, and operate secure cloud environments on AWS, with a strong emphasis on meeting risk, regulatory, and compliance requirements. The role involves advising customers on security and compliance strategies, translating requirements into scalable solutions, and demonstrating how to achieve compliance in the AWS cloud. While generative AI tools are mentioned as a way to augment productivity, the core function of the role is not AI/ML development but rather applying security and compliance expertise to cloud architectures.

System Architect role focused on defining hardware and silicon architecture for Amazon's consumer electronics products, including decisions on compute architecture, ML accelerators, and system components. The role involves tracking market trends, defining roadmaps, and collaborating with cross-functional teams throughout the product development lifecycle.

Program Manager II for Applied AI at Amazon, focusing on delivering Generative AI products and accelerating AI adoption within the eCommerce business. The role involves working with stakeholders, defining and executing solutions, leading cross-functional teams, and ensuring high-quality deliverables at Amazon scale.

This role focuses on identifying and working with early-stage startups and venture capital firms to accelerate their success on AWS. The Senior Startup Investor Manager will leverage technical understanding of cloud and emerging technologies like generative AI, combined with business acumen, to help startups innovate and scale on AWS infrastructure.

The role is a Senior Technical Program Manager for the North America Stores GenAI Evaluation Media (GEM) team, focusing on visual shopping experiences. The team owns Trust, Governance, Quality, and Generation of visual assets for customers. The TPM will work with cross-functional teams (Software Development Managers, Applied Scientists, Product Managers, Senior Engineers) to drive the technical vision and execution of AI capabilities that guide customer shopping journeys through visuals. Success involves establishing robust mechanisms, metrics, and collaborating with partners to navigate AI advancements. The role requires strategic thinking, technical depth, and a focus on delivering practical, scalable solutions. Key responsibilities include partnering with stakeholders, influencing roadmaps, ensuring operational excellence, defining metrics, and driving adoption of solutions. Experience with GenAI technologies and using generative AI tools is preferred.

Solutions Architect for AWS SMB group, providing technical design guidance and thought leadership to customers on AWS platform, including AI/ML scenarios. Focuses on customer success and adoption.

This role focuses on the design and optimization of hardware for AWS data centers, specifically for machine learning inference products like AWS Inferentia. The engineer will drive physical implementation, develop cloud infrastructure for physical design work, and improve RTL2GDS flows for performance and TAT. While the role supports ML inference hardware, the core craft is hardware/physical design engineering, not AI model development or research.

This role focuses on developing and architecting mission-critical software and firmware for Annapurna Labs' next-generation machine learning platforms, specifically the NeuronSwitches that form the interconnect fabric for Trainium chips. The work involves low-level systems programming, hardware bring-up, device driver development, and optimizing data paths to ensure high-speed data movement for AI workloads. It operates at the hardware-software boundary, enabling the underlying infrastructure for advanced ML products.

This role is for a Sr. Manager to lead a team of SOC integration engineers responsible for critical deliverables in ML accelerator chips. The focus is on designing and optimizing hardware for AWS Machine Learning servers, specifically mentioning AWS Inferentia for inference. The role involves driving technical decisions, ensuring on-time delivery, and establishing best practices for top-level integration. While the role is in AI hardware acceleration, it's not directly building ML models but rather the infrastructure that runs them.

Software Development Engineer to build scalable, high-performance systems that power natural language understanding, personalization, and other ML-driven capabilities for Amazon Ads. The role involves architecting and building services and infrastructure for new ad experiences, partnering with scientists to develop models, and deploying production systems that serve ML models at scale.

The role focuses on applying operations research and machine learning to optimize Amazon's last-mile delivery operations, aiming to improve efficiency, reduce costs, and enhance customer experience. Responsibilities include developing models, creating metrics, managing projects, and working with tech teams to build new tools and systems.