Senior Applied Scientist role at Amazon Prime Video focusing on Playback Intelligence. The role involves applying machine learning and data science to optimize video streaming quality, detect anomalies, and leverage LLMs and generative AI. Responsibilities include end-to-end ownership of product and user experience, translating business requirements into ML deliverables, defining research directions, conducting experiments, and mentoring junior scientists. The role requires experience in building ML models for business applications and designing AI solutions for real-world use cases.

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.

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.

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.

Software Development Engineer II role at Amazon Advertising focusing on building scalable services and ML-powered software solutions for advertisers. The role involves full-stack development, leveraging big data technologies, and collaborating with research scientists and product managers to design and implement AI/ML-driven features.

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 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.

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.

Senior Software Development Engineer role focused on architecting and leading the development of a next-generation brand experience platform for Amazon's Retail Business Services. The role involves driving technical strategy, building foundational services, and enabling AI features by partnering with ML scientists and research teams to scale solutions. The primary focus is on shipping AI-powered products that improve brand experience and catalog enrichment.

Software Development Engineer II role focused on building the future of retail payments for Amazon's Physical Stores. The role involves developing next-generation payment technologies, including cloud-enabled and on-device solutions, with experiments in generative AI for predictive patterns and autonomous payment agents. The team works on innovative payment acceptance, processor integrations, and risk management, shaping the future of retail payments.

Software Development Engineer to build high-performance, globally scalable AI-based Financial systems, partnering with science teams to build customized ML models and integrate with Generative AI models. Focus on designing and developing services for global financial transactions using AWS cloud platform.

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.

This role is for a Sr. Product Manager-Technical at Amazon, focusing on defining and driving the vision for forecasting products within their supply chain. The role involves partnering with scientists and engineers to build and scale deep learning-based systems, bringing advanced AI/ML technologies like Foundation Models and LLMs from research into production. The primary focus is on shipping AI-powered products that optimize the supply chain.

Software Development Manager for Alexa Audio, focusing on building and scaling audio experiences for Alexa-enabled devices. The role involves leading a team of software engineers, setting technical vision, and partnering with product management to leverage Generative AI and LLM capabilities for customer-facing audio features.

Seeking an experienced software development manager to lead a new organization focused on simplifying and accelerating the software development experience for AWS engineers using GenAI and advanced AWS technologies. The role involves building services and tools to reduce friction, developing a strategic roadmap, and pioneering AI-powered builder experiences.

UX Manager for Amazon Ads on Devices (Fire TV, Fire Tablet, Alexa, Echo) responsible for end-to-end advertising experiences. The role involves owning design strategy, driving cross-publisher alignment, and integrating AI into the design process to accelerate delivery and unlock creative possibilities. Focus on shipping high-quality, native ad experiences that respect customer experience and deliver advertiser results.

This role focuses on creating technical content (tutorials, guides, demos) to help developers understand and adopt AI-assisted development tools, specifically Amazon Q Developer. The goal is to improve developer productivity and showcase practical workflows. It involves hands-on coding, community engagement, and influencing product roadmaps based on developer feedback, but has no sales quota or revenue targets.

Software Development Manager for Prime Video's Title Lifecycle Presentation & Science team. This role leads a team of engineers and applied scientists responsible for presenting content to customers, using applied science, experimentation, and data signals. The manager will own team execution, delivery, technical direction, drive experimentation, manage ML-powered feature delivery, and navigate cross-team dependencies. Requires experience leading combined engineering/science teams, delivering through experimentation, managing dependencies, and strong technical judgment in distributed systems and ML productionization.

This role is a Customer Solutions Manager at AWS, responsible for leading cloud transformational programs and driving AI adoption for customers. The role involves understanding customer business objectives, translating them into executable plans, and collaborating with various AWS teams and partners to ensure successful implementation and adoption of AWS services, including AI solutions. The manager will also contribute to shaping the Customer Solutions Management function by leveraging generative AI.

Senior Solutions Architect for Healthcare & Life Sciences (HCLS) at AWS, focusing on designing and delivering cloud architectures that leverage AI/ML and Generative AI for HCLS customers. The role involves customer engagement, building prototypes, educating customers on AWS capabilities, and staying current with emerging AI/ML technologies to provide guidance and reference architectures. It also includes collaborating with account management, professional services, and product teams.

Program Manager for Amazon's Ring and Blink Customer Experience and Insights Team, focusing on AI-driven transformation. The role involves leveraging generative AI and machine learning to identify and resolve customer contact drivers, improve customer experience, and drive automation. Responsibilities include AI strategy, program management, stakeholder engagement, and mentoring junior team members on AI adoption.

Software Development Engineer role focused on building and evolving a new confidential advertising program using generative AI technologies within Amazon Ads. The role involves prototyping, developing real-time and big data systems, and collaborating with scientists and economists on ML-based approaches to improve advertising experiences.

This role focuses on building and maintaining production-grade causal inference and machine learning systems for marketing attribution within Amazon's advertising ecosystem. The Data Scientist will own end-to-end modeling pipelines, from problem formulation and experimental design to model development, productionization, and stakeholder communication, aiming to measure marketing effectiveness and drive advertiser growth.

Data Scientist III role focused on building and deploying machine learning models for customer segmentation, personalization, and optimization in a consumer retail setting. The role involves applying causal inference, LLMs, and advanced optimization techniques to drive evidence-based decisions and improve customer experiences across various channels. Collaboration with engineering for data pipelines and serving infrastructure is key, with a focus on translating analytical results into actionable business strategies.

Software Development Engineer role focused on building and delivering automation solutions for Amazon's Retail Business Services (RBS). The role involves designing and developing large-scale distributed systems that leverage Machine/Deep Learning and LLMs to solve complex business problems related to selection, defect elimination, and operational processes. The engineer will work with applied scientists to build robust platforms and drive continuous improvements in engineering and operational excellence.

Software Development Engineer role focused on building and delivering automation solutions for Amazon's Retail Business Services (RBS). The role involves designing and developing large-scale distributed systems that leverage Machine/Deep Learning and LLMs to solve complex business problems related to selection, defect elimination, and operational processes. The engineer will work with applied scientists to build robust platforms and drive continuous improvements in engineering and operational excellence.

Principal Technical Product Manager for quantitative analysis products within Decision Science at Amazon Devices. This role bridges science teams and business stakeholders, translating complex model outputs into actionable business strategies for key device portfolios. The ideal candidate has scientific fluency, product management excellence, and business acumen to shape how Amazon Devices uses quantitative science for decision-making, from forecasting to portfolio optimization.

Senior Applied Scientist role focused on developing and optimizing machine learning and GenAI solutions for Amazon's Last Mile delivery network. The role involves building mathematical models, improving algorithms, and contributing to production systems to optimize delivery capacity, customer experience, and operational costs. Requires strong analytical skills, experience with ML model development, and ability to work with large datasets.

Research Scientist role focused on developing forecasting and optimization models using ML and GenAI to support real estate and store planning decisions for Amazon's grocery business. The role involves analyzing data, building end-to-end solutions, and presenting findings to leadership.

Senior Delivery Consultant for AI/ML at AWS Professional Services in ASEAN, focusing on advising customers on ML solutions on AWS, leading engagements from pre-sales to delivery, and driving business value through ML implementations.

Actuary role focused on building underwriting and claims models, developing forecasts, and creating cloud-based modeling tools for risk management and insurance programs within Amazon's global operations. Requires strong data science and machine learning modeling experience.

Software Development Engineer III role in Amazon FinTech's Delta team, focusing on architecting and developing scalable financial systems. The role involves leveraging AI/ML for compliance monitoring, anomaly detection, and SDLC monitoring, with a strong emphasis on technical leadership, architectural decisions, and driving innovation in financial technology.

Software Development Manager for Alexa Daily Essentials, leading teams in Customer Artifact Management (ingesting/processing customer content like PDFs, images), Notes & Memory (intelligence layer for remembering/reasoning over customer info), and GenAI Tooling (internal GenAI tools for engineering productivity). The role owns full-stack development, including backend systems and ML pipelines, and drives GenAI adoption.

This role is for a Senior Product Manager, Tech, focused on Alexa Daily Essentials, leveraging generative AI to build the next-generation AI-assistant for millions of customers. The role involves driving product strategy, roadmap, and technical specifications, collaborating with science, engineering, and design partners to create engaging productivity scenarios. The candidate will own part of the Alexa Productivity Essentials initiative, defining vision and strategy, and ensuring experiences leverage new AI innovations. The ideal candidate has strong product leadership, technical skills, and a customer-centric mindset with a history of launching products, particularly those leveraging AI/ML and NLU.

This role is for a Senior Product Manager, Tech, on the Alexa Daily Essentials team. The focus is on leveraging generative AI to build the next generation of Alexa's AI assistant for productivity scenarios like timers, alarms, calendars, and news. The PM will drive product strategy, own the roadmap, translate customer requirements into technical specifications, and collaborate with science, design, research, and engineering partners to deliver engaging customer experiences across various Alexa touch-points. The role emphasizes innovating on behalf of customers and impacting millions of users worldwide.

Software Development Engineer II role focused on building AI-native experiences for Alexa+ using Generative AI, enabling third-party partners to create new capabilities. The role involves design, architecture, and implementation of products used by customers daily.

Software Development Engineer II role focused on building AI-native experiences for Alexa+ using Generative AI, enabling third-party partners to create new capabilities. The role involves design, architecture, and implementation of products used by customers daily.

Software Development Manager to lead a team building AI-powered customer experiences and backend systems for Amazon's Alexa personal assistant. The role involves leading engineers, championing generative AI adoption, ensuring engineering excellence, and partnering cross-functionally to deliver innovative AI-driven features.

This role focuses on designing and implementing production-quality technical demonstrations for AWS services, particularly in Generative AI and Machine Learning. The responsibilities include developing code artifacts, supporting analyst evaluations, and collaborating with various teams to showcase new products and features. The role aims to inspire customers by creating high-quality technical showcases for product launches and events.

Data Scientist role focused on demand forecasting within Amazon's supply chain. Responsibilities include developing and supporting data science methodologies, building models for forecasting, bias correction, and contributing to GenAI/LLM research for explainability. The role involves designing and analyzing A/B tests, deriving causal inferences, and communicating insights to stakeholders. The primary artifact is the improved forecast, which directly impacts business decisions like inventory management and labor planning.

Senior Business Intelligence Engineer focused on building and scaling personalized recommendations for millions of customers across European marketplaces. The role involves leveraging real-time customer intent signals, large-scale EU retail data, and engagement metrics, applying custom processors and matching models. It sits at the intersection of business intelligence, data engineering, and data science, developing custom models using Python and Spark (embeddings, persona matching) and building production-grade Python services, serverless infrastructure (AWS Lambda, CDK), and APIs (FastAPI). The role also includes owning reporting, measurement, and deep-dive analytics for personalized marketing campaigns.

This Principal PMT role at Amazon Ads focuses on leading product strategy and execution for a new product at the intersection of advertising and creator commerce, leveraging generative AI. The role involves building products that connect creators with advertisers to maximize earnings and performance, defining the product vision and roadmap for creator-powered advertising, and managing the end-to-end experience for both advertisers and creators. It requires operating across multiple dimensions, making trade-offs, and driving alignment across various teams.

This role is an AI/ML Specialist Solutions Architect focused on helping banking customers design and adopt GenAI solutions on AWS. The role involves understanding customer needs, designing solutions using AWS AI/ML services like SageMaker and Bedrock, and acting as a technical liaison between customers and AWS service teams. It emphasizes driving adoption, thought leadership, and providing customer feedback for product improvement.

Senior Product Manager (Tech) for Amazon Ads' Conversational Ad Experiences team, focusing on leveraging generative AI to revolutionize advertising. The role involves defining product strategy, driving technology choices, leading innovation, and managing the end-to-end delivery of AI-powered ad experiences for shoppers and advertisers in conversational contexts.

Senior Technical Program Manager for the Featured Merchant Algorithm (FMA) team at Amazon, responsible for algorithms and services that power offer selection on the retail platform. The role involves leveraging AI/ML and big data to rank and select the best offer for customers, driving a significant portion of Amazon's product sales. The TPM will collaborate with stakeholders, engineers, PMs, and scientists to deliver new features, shape strategy, manage complex programs, and communicate progress to senior leadership.

Software Development Engineer in Test focused on AI-enhanced automation for camera SDKs, aiming to improve test frameworks, efficiency, and defect detection in embedded systems.

This role is for a GenAI/ML Specialist Solutions Architect at AWS, focusing on driving the adoption of AWS GenAI/ML services for large enterprise customers in the UKI. The role involves providing deep technical expertise, designing solutions, acting as a trusted advisor, leading architectural reviews, and contributing to product feedback. It requires a strong understanding of Generative AI and Machine Learning services, enterprise-grade architectural strategies, and the ability to translate complex technical concepts into business value.