Amazon

The role involves foundational labeling of diverse data types (text, speech, audio, image, video) for generative AI and LLM development. Responsibilities include delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role requires strong attention to detail, analytical thinking, and adherence to strict confidentiality.

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.

Software Development Engineer role focused on expanding Amazon's product catalog using machine learning, deep learning, and information retrieval systems. The role involves designing and building scalable platforms for data processing, entity generation, and product/brand evaluation at a global scale.

Masters or PhD student internship in Data Science at Amazon, focusing on developing and implementing algorithms for scientific solutions, A/B testing, and estimating customer satisfaction. The role involves working closely with scientists and engineers on customer-obsessed research and creating scalable projects.

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 focuses on customer success and business transformation for enterprise clients adopting AWS's generative AI platform, Amazon Quick. The specialist will design strategies, develop methodologies, and enable partners to help customers move from AI experimentation to large-scale business process reinvention. The role requires deep expertise in enterprise business execution and AI adoption, with a focus on driving measurable business value.

Software Development Engineer role focused on building prototypes for public sector customers using AWS services, including AI/ML technologies. The role involves full software development lifecycle, customer collaboration, and hands-on work with various cloud and open-source technologies.

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 is for a Senior Finance Analyst focused on AWS Account Receivable and collections. While the role mentions leveraging AI tools for operational efficiency and requires AI literacy, the core responsibilities are in finance operations, process improvement, and automation, not in building or shipping AI models. The primary focus is on collections, AR, and financial operations, with AI being a tool to enhance these existing processes.

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.

The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation and collaborating with product, technology, and science teams. The role requires proficiency in German and experience in data annotation for ML model training and evaluation.

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.

Senior Business Intelligence Engineer role focused on managing and optimizing the cloud infrastructure for AI technologies within Amazon's Alexa division. The role involves owning the BI strategy, designing and implementing dashboards and data models, building data pipelines, defining metrics, and collaborating with engineers to automate analytical processes. The goal is to provide visibility into infrastructure spend, GPU utilization, and identify cost savings, ultimately informing infrastructure investment decisions.

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.

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.

This role is for a Strategic Supply Chain Manager in Amazon's Books division. The primary focus is on improving customer and vendor experience through supply chain optimization, including demand forecasting, ordering, and inventory management. While the role mentions leveraging machine learning models for automation, the core responsibilities are in supply chain management and product delivery, not in building or researching AI models themselves.

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.

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.

This role owns the AI and Surge Inference enablement strategy and program roadmap for the EMEA AGS Sales organization. The focus is on equipping sales teams with the skills, knowledge, and tools to lead AI conversations with customers and accelerate AI outcomes. It involves developing and delivering enablement programs across various AI domains, building relationships with sales leadership and AI stakeholders, and measuring program impact.

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.

Data Engineer role focused on building and maintaining data pipelines, feature extraction frameworks, and APIs for productionizing science models within Amazon's People Experience and Technology (PXT) Central Science team. The role involves using AWS services for data processing, model serving, and integration with other engineering teams.

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.

This role focuses on designing training materials and delivering AI-related training to internal teams, leveraging AI tools for design productivity and innovation. The primary responsibility is to create visually compelling learning content and facilitate AI awareness sessions for frontline associates and leaders in Last Mile operations.

This role is for a Sr. Principal Scientist focused on Stores Economics and Science at Amazon. The scientist will work with ML scientists to validate models, translate analysis into business actions, and manage data analysis and modeling. The team uses economics, statistics, and ML to understand Amazon's economy and aims to drive AI adoption across the company.

This role focuses on designing and delivering production-grade AWS architectures that integrate generative AI capabilities, including foundation models and agentic patterns, to solve complex business challenges for enterprise customers. The Solutions Architect acts as a trusted technical advisor, influencing customer technology strategy and driving adoption of AWS AI services.

Software Development Engineer II role focused on leveraging GenAI and AWS technologies to simplify and accelerate the software development and operational lifecycle for AWS builders. The role involves building AI-powered automated solutions and agentic workflows to reduce toil, improve efficiency, and drive transformation across AWS engineering teams.

Software Development Engineer II role focused on leveraging GenAI and AWS technologies to simplify and accelerate the software development and operational lifecycle for AWS builders. The role involves building AI-powered automated solutions and agentic workflows to reduce toil, improve efficiency, and drive transformation across AWS engineering teams.

Software Development Engineer II role focused on leveraging GenAI and AWS technologies to simplify and accelerate the software development and operational lifecycle for AWS builders. The role involves building AI-powered automated solutions and agentic workflows to reduce toil, improve efficiency, and drive transformation across AWS engineering teams.

This role is for a Senior Technical Program Manager on the Amazon Ads Sponsored Products and Brands team. The primary focus is on managing projects related to generative AI technologies in advertising, from inception to deployment and improvement. The role involves coordinating across product, science, and engineering teams, driving efficient project execution, and recommending technical approaches. While the team works with GenAI and the role involves using GenAI tools, the core responsibilities are in program management and product delivery, not direct AI/ML model development.

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.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

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.

Data Engineer role focused on building and optimizing data models and end-to-end data pipelines using AWS services for Amazon Publisher Monetization. The role involves implementing data solutions for human analysts and AI-powered tools, ensuring data quality, and collaborating with stakeholders to deliver data products. It also mentions leveraging LLMs and generative AI for development workflows and contributing to automated data infrastructure.

This role is for a Senior Product Manager focused on enhancing the shopping experience for Spanish and French-speaking customers in North America. The role involves identifying gaps in the customer journey, driving solutions, and envisioning innovative experiences leveraging AI/ML and generative AI. The primary focus is on delivering improved customer experiences within the consumer domain, with AI/ML being a tool to achieve product goals rather than the core craft of the role.

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.