Amazon

The Principal Technical Program Manager will lead the development and strategy for Sponsored Products and Brands at Amazon Ads, leveraging generative AI to revolutionize advertising experiences. This role involves managing large-scale global products, defining roadmaps, and driving cross-functional initiatives to enhance ad creation, optimization, and performance analysis. The focus is on building next-generation brand advertising products and platforms, impacting millions of creators and viewers daily, and delivering significant revenue and growth for Amazon.

Product Manager role focused on improving the delivery experience for Canadian customers, involving strategic initiative development, data analysis, cross-functional collaboration, and optimizing customer experience across platforms. The role requires experience in product management, roadmap strategy, and end-to-end product delivery. While not core to the role, experience with generative AI tools for workflow efficiency and product enhancement is preferred.

This role focuses on preparing training data for ML algorithms using cloud infrastructure, performing architecture feasibility analysis, and evaluating video picture quality using industry tools and standards. The primary deliverable is the prepared training data for ML models.

Senior Economist role focused on building innovative solutions using econometrics, machine learning, and experimentation for Amazon Retail's product assortment. The role involves developing econometric models and experiments to measure customer and financial impact, influencing business decisions, and collaborating with a multidisciplinary team.

This is an internship role for a Software Development Engineer at Amazon in Canada. The intern will work on designing, building, and operating innovative products and services, leveraging cloud-native architectures and microservices. A key responsibility includes leveraging and contributing to GenAI and AI-powered tools to enhance development productivity. The role requires experience with programming languages, data structures, and algorithms, and is for students pursuing a STEM degree with a conferral date after the internship.

This role is for a Business Analyst in Amazon's Relay Fleet Tech organization, focusing on building automation solutions and driving business decision-making for fraud prevention using machine learning algorithms. The role involves working with large datasets, developing BI solutions, and maintaining front-end code using Python and SQL.

Software Development Manager for AWS Compliance & Security Assurance, focusing on Denied Party Screening. The role involves leading teams to build and scale ML/LLM-powered detection and resolution systems to prevent prohibited transactions with denied entities, handling significant daily event volumes and scaling challenges. The manager will define team vision, shape technical strategy, mentor engineers, and ensure operational excellence for these AI/ML systems.

This role focuses on building and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads, specifically designing and delivering server hardware for AI training and inference. The candidate will work across the full technical stack from baremetal hardware to userland software, solving complex architectural problems related to server systems, their testability, reliability, and diagnosis, with the goal of delivering continuous price-performance improvements for large language models at cloud scale.

Software Development Engineer II on the DynamoDB Capacity and Customer Entitlement team, responsible for designing and building production systems that optimize capacity planning and fleet scaling for DynamoDB's infrastructure. This role involves developing automated scaling algorithms, capacity management tools, and operational workflows, including building ML-integrated prediction systems for demand forecasting and capacity allocation.

This role focuses on driving profitability improvements in Amazon Grocery through strategic vendor programs and business process convergence, utilizing AI-powered automation. The Sr Vendor Manager will lead projects, analyze vendor financials, partner with tech teams for solutions, and improve business integrations and reporting. The role emphasizes program management, P&L management, and data analysis to transform manual processes into automated workflows.

This role focuses on identifying opportunities to integrate AI/ML and automation into seller support workflows within Amazon Business. The Program Manager will lead initiatives to improve seller experience and operational efficiency by designing, piloting, and scaling AI solutions, with a focus on reducing manual effort and speeding up issue resolution. While not directly building models, the role is critical in driving the application and adoption of AI technologies to solve business problems.

Software Engineer role within AWS Professional Services focused on delivering cloud-native solutions using AWS services, with a specific emphasis on leveraging AI/ML services to build AI-enabled applications and agent architectures for customers.

This role focuses on developing and executing AWS's partner strategy for Agentic AI, aiming to accelerate the adoption of AI agents and autonomous AI systems among businesses. The specialist will collaborate with partners to envision and implement agent-based solutions, provide thought leadership, build enablement programs, and analyze market trends to influence AWS's Agentic AI strategy and product development.

Software Development Engineer role at Amazon Web Services (AWS) focusing on building and maintaining code, implementing software solutions, and collaborating with cross-functional teams. The role also mentions potential specialization in Artificial Intelligence/Machine Learning and Healthcare AI, with preferred qualifications in ML frameworks and fundamentals.

This role builds the foundational data platform for robotics and ML development, focusing on data pipelines, storage, and transformation to support ML training and fleet monitoring.

Seeking a Principal Product Manager - Technical to define and deliver the vision, strategy, and technical roadmap for Amazon Learning Companion (ALC), an AI-powered Learning Intelligence Platform. This role focuses on consolidating learning data and systems to enable personalized, data-driven learning experiences at scale, introducing self-service analytics, natural-language data access, and predictive insights. The PM will collaborate with Data Engineering, Applied Science, and Software Development teams to define platform architecture, data models, and technical mechanisms, influencing senior stakeholders and driving alignment across organizations.

This role is for a Principal Technical Program Manager at Amazon, focusing on brand measurement solutions within Ad Tech and Data Science. The role involves leading the development and delivery of innovative solutions that help advertisers measure, analyze, and optimize their brand-building campaigns. It requires managing large-scale technical programs at the intersection of advertising technology, machine learning, and distributed systems, and delivering AI-driven insights to empower advertisers. The position emphasizes program management, technical strategy, cross-functional leadership, and operational excellence in a mature, large-scale environment.

Software Development Engineer II role within AWS Applied AI Solutions, focusing on building new and contributing to existing healthcare AI services like HealthLake, Comprehend Medical, and HealthScribe. The role involves designing, developing, and testing scalable software systems for cloud-based healthcare applications, collaborating with cross-functional teams, and ensuring operational excellence and compliance.

This role focuses on applying professional services advisory skills to Amazon's internal governance, risk management, and assurance (GRA) capabilities. The primary goal is to develop and embed best practices, drive business change through tailored functional insight, and lead the scoping, design, and execution of automation within GRA, with a specific focus on AI and machine learning models. The role involves advising partners on risk reduction, creating data-driven narratives for senior leadership, and ensuring the effectiveness of internal controls. While the role advises on AI/ML models, it does not appear to involve direct development or shipping of these models.

Lead Engineer for Amazon's Trainium Manufacturing Quality & Reliability organization, focusing on bridging manufacturing outcomes with datacenter operational performance. This role involves establishing and operating a preparedness lab to analyze datacenter performance of manufactured systems, identify root causes of field issues, and feed insights back into manufacturing processes, test strategies, and design improvements. The position also influences hardware design for DFM, DFR, and DFT, establishes data-driven analytics frameworks connecting manufacturing test data to datacenter performance (leveraging ML), and develops manufacturing processes at ODMs/CMs. The role requires experience with AI/ML acceleration systems and managing cross-functional teams.

This role focuses on evaluating AI systems, specifically LLMs, by designing and executing benchmarking and audit activities. It involves assessing model quality, compliance, robustness, and fairness, as well as handling annotations for training and measuring AI models. The role also includes preparing audit reports and ensuring data quality.

This role is for a Senior Solutions Architect focused on AWS security services, helping enterprise customers adopt and operationalize these services, particularly in the context of securing generative AI and agentic architectures. The role involves owning the technical relationship, architecting solutions, and providing feedback to product teams. While it touches on AI/agentic architectures, the core function is security service adoption and operationalization, not building AI models or systems themselves.

This role is for a Sr. Event Marketing Manager focused on building and executing marketing strategies for selling partner events. While the company aims to incorporate AI-powered personalized experiences and the candidate is expected to leverage generative AI tools, the core function of the role is event marketing, not AI/ML development.

The JP Economics and Decision Sciences team is a central science team that applies rigorous economic theory, causal inference methods, and machine learning to solve complex business challenges across the JP marketplace and beyond. We work closely with JP business leaders to drive change at Amazon, focusing on solving long-term, ambiguous problems while providing advisory support for short-term business pain points. Key topics include pricing, product selection, delivery speed, profitability, and customer experience. We tackle these issues by building novel economic and econometric models, machine learning systems, and high-impact experiments which we integrate into business, financial, and system-level decision making. Our work is highly collaborative and we regularly partner with JP-, EU-, and US-based interdisciplinary teams.

Principal UX Designer for Prime Video, focusing on core design systems and customer experiences across living room and mobile platforms. The role involves leading design direction, contributing to foundational experiences, and shaping AI-enabled design practices. It's a hands-on IC role requiring strategic thinking, prototyping, and collaboration with Product and Engineering.

This role focuses on designing and implementing intelligent automation solutions for financial operations using AI, ML, LLMs, and RPA tools. The engineer will optimize existing automations, gather requirements, lead projects, and ensure reliability and integration across systems.

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 GenAI technologies. 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 Engagement Manager role leads Generative AI transformation projects for AWS customers, focusing on driving adoption, orchestrating engagements, and ensuring successful delivery of AI solutions. The role involves developing AI adoption strategies, leveraging AWS Foundation Models and LLM solutions, and managing cross-functional teams. It is a customer-facing product role focused on delivering business outcomes through AI.

Senior Software Engineer focused on DevOps for AWS's custom ML chips (Trainium/Inferentia), enabling rapid software development for AI training and inference. The role owns CI/CD pipelines, release processes, and hardware-in-the-loop testing infrastructure to ensure timely and quality software delivery for silicon development.

This role is for a Sr. Product Manager on the Middle Mile Supply and Routing Optimization team at Amazon. The team builds complex software solutions to optimize the time and cost of package delivery, leveraging big data, machine learning, and optimization techniques. The Sr. Product Manager will drive the delivery of technology features for real-time routing, own efficiency metrics, and work cross-functionally to define strategic roadmaps. The role requires a strong understanding of Amazon's transportation operations, data analysis skills, and the ability to communicate insights to various stakeholders.

Solutions Architect for AWS Enterprise customers, focusing on designing and building cloud solutions, including AI-driven ones. The role involves acting as a technical advisor, translating requirements into solutions, and building prototypes. Experience with AI/ML solutions, Generative AI, and Agentic applications is preferred.

Senior Treasury Analyst role focused on treasury operations and banking relationships to support global expansion and implementation projects. The role involves managing cash operations, developing banking relationships, leading implementation projects, and leveraging Generative AI tools for automation and scalability.

Senior UX Designer for Amazon Merch on Demand, focusing on creating a store experience for sports teams and organizations. The role involves designing end-to-end customer journeys, including AI-generated designs, and partnering with cross-functional teams. The position emphasizes leveraging AI and automation to simplify complex processes and scale the experience.

This role focuses on developer advocacy, guiding developers on how AI is changing software development, adopting AI-powered tools, and building on AWS. The advocate will create technical content, build community, and provide feedback to product teams.

This role is for a Senior Specialist Sales Representative focused on Independent Software Vendors (ISVs) within the Generative AI and Machine Learning domain on AWS. The primary responsibility is to drive adoption and revenue growth of AWS's Generative AI services by identifying customer opportunities, understanding their needs, and positioning AWS solutions. The role requires business acumen, technical understanding of AI/ML, and strong sales and consultative skills to act as a trusted advisor, helping customers embed and deploy AWS Generative AI solutions to solve business problems and unlock new value. The individual will own the full sales cycle, build strategic account plans, and collaborate with various stakeholders including Line of Business, Data Science, IT, and partners.

Research Scientist II role focused on psychometric aspects of exam development and operations, with a requirement to use ML, NLP, and GenAI for research and automation. The role involves developing and applying statistical and psychometric modeling to ensure exam validity and reliability, and automating psychometric workflows using R or Python. Experience with large-scale assessment programs and complex test designs is required.

Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.

The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation and labeling for ML model training and evaluation. This role collaborates with product, technology, and science teams to ensure high-quality annotated data and improve annotation processes.

This role is for a Sr. Specialist Sales Representative focused on Generative AI/ML within the Financial Services Industry. The primary responsibility is to drive adoption and revenue growth for AWS's Generative AI services by identifying customer opportunities, understanding their needs, and positioning AWS solutions. The role involves consultative selling, building trust with customers, and collaborating with internal teams and partners to deliver value and achieve sales goals.

Senior Technical Program Manager to define, own, and drive technical programs for GenAI/Agentic AI solutions within AWS Applied AI Solutions, focusing on supply chain operations. The role involves partnering with product management and technical leadership to identify opportunities, influence strategy, and align roadmaps across engineering and science teams.

Software Development Engineer role focused on building edge compute solutions for industrial automation within Amazon's fulfillment network. The role involves working across the full software development cycle, from low-level machine controls to cloud-based solutions, and developing infrastructure for warehouse automation systems. While the team works alongside AI/ML teams and the role touches on AI/ML solutions, the core responsibility is in engineering the automation and edge compute infrastructure.

This role is a Business Development Specialist for Amazon Bedrock's Generative AI Go-To-Market (GTM) team. The primary focus is on leading the GTM strategy for Models on Bedrock, expanding model choice and access for customers, and driving adoption. The role involves market sizing, pipeline building, understanding customer use cases, developing joint GTM strategies with foundation model partners, creating training content, driving thought leadership, and providing customer feedback to inform product roadmaps. The ideal candidate has a business and technology background, domain expertise in generative AI, and an understanding of GenAI market trends and LLM providers. The role requires strong communication and partnership skills with internal AWS teams, customers, and model providers.

This role focuses on developing and building new ML and statistical forecasting models for Amazon Stores' financials, aiming to improve financial decision-making and planning for senior leadership. It involves working with stakeholders, collaborating with various teams for production implementation, and adapting new modeling techniques.

This role is for a Principal GenAI Partner Development Manager on the AMER Tech Partners team, focusing on ISV partnerships within the Generative AI domain. The primary responsibility is to lead go-to-market strategy and manage partnership relationships with strategic Generative AI ISVs to drive adoption of AWS cloud computing platform and generate revenue opportunities. The role involves defining and executing joint sales programs, engaging with partner sales organizations and end customers, developing partner plans, managing revenue targets, and working with internal AWS teams and external partners to ensure success. It requires understanding technical requirements to guide product offerings and using analytics tools to track metrics. The role is focused on scaling GenAI initiatives and helping partners unlock possibilities.

Product Manager Technical role focused on AI-native product development for Amazon's JP Store. The role involves owning the end-to-end customer experience for AI-powered marketing automation, using generative AI to create personalized content and experiences that drive product discovery and conversion across various channels. Responsibilities include defining customer journeys, designing experiments, driving data-driven product development, and collaborating with engineering and design teams on AI-powered features.

This role supports Machine Learning (ML) models and classification algorithm development by performing data annotation and ensuring high-quality standards for annotated data. The specialist collaborates with product, technology, and science teams to optimize model performance and improve annotation processes.

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.

Data Engineer role focused on building and maintaining scalable data infrastructure and pipelines to support ML model training and inference for fraud prevention in e-commerce. The role involves processing large volumes of data, optimizing ETL processes, ensuring data integrity, and collaborating with scientists to productionize ML models, with a focus on low latency and high reliability for inference.