Applied Scientist II at Amazon Prime Video focusing on personalization and discovery science. The role involves developing ML models for recommendation and search systems using deep learning, online learning, and optimization methods. It requires staying updated with the latest modeling techniques, publishing research findings, and applying advanced approaches like foundation models to solve cold-start problems and discover niche customer interests. The scientist will work on highly scalable page personalization solutions and collaborate with engineers and product managers.

This role focuses on developing and launching end-to-end AI solutions for Prime Video's search and discovery systems, utilizing deep learning, GenAI, and reinforcement learning. The scientist will design and conduct experiments, collaborate with engineers and product managers, and publish research findings. The role is within the consumer domain, aiming to improve customer experience for millions of users.

Senior Machine Learning Compiler Engineer responsible for the ground-up development and scaling of a deep learning compiler stack for Amazon's ML accelerators (Inferentia and Trainium). The role involves architecting and implementing business-critical features, optimizing neural net models for custom hardware, and integrating with ML frameworks like PyTorch and TensorFlow.

Software Development Engineer III at Amazon Annapurna Labs, focusing on building and applying AI agents to simplify and accelerate customer adoption of AWS Neuron ML chips (Inferentia and Trainium). The role involves solving complex technical problems, designing and implementing innovative software solutions, and working with external and internal customers to identify adoption obstacles and opportunities in the Generative AI space.

This role is for a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, focusing on the development and scaling of a compiler for ML accelerators. The role involves architecting and implementing features for a deep learning compiler stack that optimizes neural network performance on custom AWS hardware, integrating with frameworks like PyTorch and TensorFlow. The goal is to provide significant performance improvements for large-scale ML workloads.

Manager III leading a team of compiler engineers to develop, deploy, and scale a compiler targeting AWS Inferentia and Trainium ML accelerators. The role involves technical leadership, innovation, and collaboration with AWS ML services teams to ensure the Neuron SDK meets customer needs for high performance, low cost, and ease of use. Deep knowledge of resource management, scheduling, code generation, and optimization is required.

Senior Software Development Engineer focused on pre-silicon hardware/software co-development for next-generation machine learning chips (like Trainium) used in AWS. The role involves working with architecture, design, and emulation teams, writing bare-metal software and ML workloads to verify chip functionality and performance.

Manage a team responsible for the machine learning models and algorithms that select the featured offer ('Buy Box') on Amazon's product pages, influencing customer purchase decisions across billions of daily interactions worldwide. This role involves technical direction, stakeholder management, and driving the customer buying experience.

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.

Applied Scientist role focused on building and implementing scalable algorithms for automated decision-making in Amazon's Last Mile delivery operations, specifically for associate labor planning, supply chain optimization, and improving cost, reliability, and speed. The role involves designing, modeling, developing, and implementing state-of-the-art models and solutions, feeding strategic analyses, and being part of production systems.

This role focuses on process engineering and continuous improvement within Amazon's Workforce Staffing (WFS) organization. The Senior Process Engineer will set strategic direction for process engineering, drive variation reduction, automation, and AI adoption across recruiting workflows. Responsibilities include optimizing manufacturing and corporate processes using Lean/Six Sigma, championing AI/ML opportunities, building business cases for automation, and leading technology implementations. The role also involves establishing quality management systems and mentoring other engineers.

Software Engineer role focused on developing and optimizing services for AWS Inferentia and Trainium machine learning accelerators. Responsibilities include leading the design and implementation of tools, pipelines, and automation for ML workloads, managing infrastructure, monitoring performance, and ensuring security. Requires experience with distributed systems, ML optimization, and cloud technologies.

This Business Analyst role focuses on supporting marketing decisions within Amazon's Other Hardlines category by analyzing large datasets, building reports, and leveraging AI tools to accelerate insights. The role requires strong SQL and Excel skills, with a preference for experience in scripting, data visualization, and cloud data tools. While the role utilizes AI tools, it does not involve building or shipping AI models.

Economist role focused on the International Seller Services team, leveraging LLMs and generative AI to analyze and improve the global seller ecosystem. The role involves applying economic theory and advanced analytics to solve business problems, build frameworks, and design measurement systems for seller growth and marketplace dynamics.

The Business Analyst Support role focuses on building data infrastructure and pipelines to power agentic AI solutions. This involves creating single sources of truth, optimizing data for AI consumption, and ensuring data quality and governance for AI-powered systems. The role requires strong SQL, ETL, and data architecture skills, with a focus on enabling self-service intelligence and automated insights.

Solutions Architect for AWS Public Sector in New Zealand, focusing on designing and advising government agencies on cloud solutions, including AI/ML services, to accelerate cloud adoption and improve citizen services. This is an advisory role, not hands-on delivery.

Software Development Engineer role focused on building and optimizing high-throughput, low-latency distributed systems for Sponsored Products ad delivery at Amazon. The role involves working at the intersection of search architecture, information retrieval, NLP, and deep learning at massive scale to improve ad coverage, relevance, and performance. It requires designing, developing, and operating these systems, handling billions of requests per day with millisecond response times, and innovating in core areas to advance ad matching capabilities. The team is also re-imagining advertising through generative AI technologies.

This role is a Business Development Specialist for Amazon Bedrock, focusing on Go-To-Market (GTM) strategy for Models on Bedrock. The individual will lead GTM strategy, expand model choice and access for customers, define GTM strategy, lead cross-functional initiatives to expand markets, develop scalable programs to drive adoption, and identify new opportunities. Responsibilities include creating sales plays, leveraging partners, building new initiatives, providing customer feedback for product roadmaps, and working with the partner network. The role also involves market sizing, pipeline building, understanding customer use cases and technical requirements, developing joint GTM strategies with foundation model partners, creating field training content, driving industry thought-leadership, and working with product teams to define new features. The ideal candidate has a business and technology background, domain expertise in generative AI and ML use cases, technical depth to articulate Bedrock's benefits, and an understanding of GenAI market trends and LLM providers. They will interact with internal AWS teams and external customers and model providers, driving GTM plans, understanding business problems, and helping define and implement GenAI solutions.

This role focuses on building and managing automated mass seller engagement solutions using Generative AI tools to help US sellers expand into international marketplaces. The Manager will lead the strategy and implementation, leveraging seller data and AI to create personalized, automated nudges, and will partner with product teams to develop these Gen AI solutions.

Software Development Engineer (Java&AWS) for Ring backend team, focusing on designing, implementing, and testing low-latency, high-uptime distributed systems and microservices. The role involves leveraging generative AI tools to improve development processes and will contribute to the next generation of Ring applications and services.

The role focuses on re-engineering an automated forecasting model (Fleet Requirement Planning - FRP) for Amazon's EU fleet. Key responsibilities include integrating new van requirements, moving to clustering, probability-based modeling, and agentic AI, scaling optimization models with a focus on operational costs, evolving the user interface to a dashboard, integrating new supply channels, and scaling the FRP to Middle Mile. The role also involves developing a 'digital twin' for 'what-if' analysis and supporting critical business decisions.

Program Manager II role focused on improving vendor experience for Amazon Sellers by leveraging generative AI, managing program lifecycles, defining new programs, and driving cross-functional initiatives to eliminate vendor contacts.

This role is for a Senior Cost Engineering Manager at Amazon, focusing on large-scale construction projects. The primary responsibility is to lead cost engineering efforts, including should-costing, building cost models, and challenging supplier quotations. A key aspect of the role involves co-developing AI-powered costing tools and working with AI/ML teams to scale impact and improve cost intelligence. While the role leverages AI tools and contributes to their development by providing data and validation, it is not primarily focused on building AI models or agents as its core craft.

This role focuses on leading cost engineering for large-scale construction projects, with a significant component of co-developing AI-powered tools to enhance cost intelligence and procurement processes. The individual will work alongside AI/ML teams, curate data, and validate model outputs, aiming to scale the impact of cost engineering through intelligent automation.

This role focuses on leading strategic transformation initiatives for enterprise customers adopting Amazon Kiro and AWS's generative AI platform to revolutionize how they build and deliver digital products. The Principal Customer Success Specialist will define methodologies, frameworks, and repeatable models for AI-driven digital product delivery transformation, influencing product roadmaps, partner ecosystems, and go-to-market strategies. Responsibilities include designing transformation strategies, building repeatable methodologies, enabling partner ecosystems, managing customer success, and providing thought leadership.

This role is for a Senior Software Development Engineer on the Amazon OpenSearch Service Control Plane team. The team manages a large fleet of cloud-native OpenSearch clusters, focusing on reliability, scalability, and automation. The role involves driving architectural decisions for large-scale distributed systems, leading design and development of complex services, and contributing to the OpenSearch project. A key aspect is building and applying AI fluency across the software development lifecycle, including using AI for code assistance and validation. The role also includes operational responsibilities and mentoring engineers.

Software Development Engineer II on the Worldwide Returns and ReCommerce team at Amazon. This role involves designing, developing, and supporting scalable distributed systems. The team's mission is to reduce returns, costs, and waste by developing products and driving operational excellence. This includes training ML models for routing and optimization, inventing new channels for product reuse, and improving the customer returns experience. The engineer will work on complex problems, provide technical leadership, and drive best practices.

This role involves applying causal inference, LLMs, and generative AI to economic research for Amazon's International Seller Services. The candidate will lead a team of economists and scientists, develop economic frameworks, and provide actionable insights to business leaders. Requires a PhD in economics and experience in analytics, applied economics, and team management.

Software Development Engineer role focused on building AI-powered capabilities within Amazon's HR support platform, leveraging AWS services to automate tasks and provide recommendations. The role involves end-to-end platform feature design and development, integration with HR systems, and ensuring operational health.

This role focuses on designing and implementing Salesforce solutions within AI initiatives, integrating with AWS AI services to improve customer service efficiency through AI-powered automation. The primary focus is on Salesforce development and integration, not direct AI model building.

Software Development Engineer II on the SKG team within AWS Infrastructure Services. This role focuses on building intelligent systems to automate the triage, analysis, and routing of operational alarms in data centers, leveraging generative AI and integrating with services like Amazon Bedrock. The engineer will own features end-to-end, including design, coding, testing, deployment, and operation, with a focus on applied engineering and orchestrating AI services.

This role focuses on the design verification of hardware for machine learning acceleration, specifically mentioning AWS Inferentia. While it deals with hardware that runs ML models, the core responsibility is in hardware verification and design, not in developing or deploying ML models themselves.

Hardware Design Engineer role focused on the definition, design, and validation of AWS next-generation ML Chips, Cards, and server integration. The role involves designing and optimizing hardware in data centers, with a focus on PCIe and Serdes topics for custom platforms within AWS datacenters. This position requires leadership in applying new technologies to large-scale server deployments to improve product performance, quality, and cost.

This role is for a Senior Product Manager, Technical (PMT) at Amazon, focused on driving the strategy and launch of new features for the Worldwide Promotions and Events platform. The role involves understanding customer needs, defining product roadmaps, collaborating with engineering and UX teams, and running experiments to improve the customer experience and business outcomes related to promotions and deals on Amazon. While the role mentions using generative AI tools to enhance workflow efficiency and identify opportunities, the core responsibilities are product management for a consumer-facing platform, not direct AI/ML model development or deployment.

The Sr. Technical Program Manager will own and drive large, critical programs involving machine learning models and AI systems to improve employee experience at Amazon. This role requires coordinating cross-functional teams, managing program lifecycles, defining strategies, and ensuring successful delivery of AI/ML-driven solutions.

This role is for an Associate Account Executive at Amazon Web Services (AWS) focused on accelerating pipeline growth for new and existing customers. The role involves identifying opportunities, developing strategies, and engaging with customers using AI-powered sales tools and data-driven insights. It's positioned as an entry point into AWS sales, with a clear career path towards full-cycle selling.

This role focuses on driving business outcomes for enterprise customers by connecting industry and business priorities to digital and AI strategy and solutions. The Senior Business Innovation Advisor will lead discovery workshops, build business cases quantifying transformation ROI, and develop customer-specific transformation roadmaps to inspire the adoption of AWS AI and cloud services. The role involves collaborating with sales leadership and account teams to shape deal structures and provide thought leadership on value-based selling practices.

This role is a Senior Sales Specialist for Analytics within AWS Enterprise Accounts. The primary focus is on driving revenue and market share by helping customers leverage AWS analytics and AI/ML services, including Amazon SageMaker and Amazon Bedrock, to achieve their business goals. The role involves understanding customer needs, crafting strategic plans, articulating value propositions, and managing the sales process from evaluation to closing deals. It requires a blend of strategic sales leadership, technical acumen in cloud and AI solutions, and strong business development skills.

This role is for a Senior Technical Program Manager at Amazon Ads, focusing on the media planning platform and Demand Side Platform (DSP). The individual will lead cross-functional programs, define technical requirements, develop roadmaps, and drive operational excellence. The role involves working with engineering, product, and applied scientists on AI-powered planning tools and agentic AI experiences, impacting billions in advertising revenue.

Solutions Architect for AWS, focusing on driving adoption of AWS services, including Generative AI and Agentic AI, with enterprise customers in the Hi-Tech and Semiconductor industry. The role involves building technical relationships, providing recommendations on cloud architecture, and educating customers on AWS technologies. This role is customer-facing and involves understanding customer needs to inform AWS roadmaps.

This role is for a Senior Security Solutions Architect at AWS, focusing on helping customers migrate workloads to the cloud and secure their generative AI applications. The role involves providing security expertise, designing and building solutions for security, risk, and compliance on AWS, and advising on identity and access management for both workforce and customer identities. The candidate will also develop technical artifacts, convey best practices, and mentor other AWS teams on security.

Operations Manager for AI Data at Amazon Search, focusing on leading a large team to deliver high-quality data annotation for ML models that power the customer search experience. The role involves managing operations, driving business metrics, partnering with applied science teams, and ensuring data quality for ML model training.

Senior AI Sales Specialist for AWS, focusing on Generative AI and Agentic AI technologies for startup customers. The role involves understanding customer goals, translating AI capabilities into business value, supporting adoption at scale, and contributing to revenue growth. Responsibilities include sales target achievement, account planning, technical discovery, solution design guidance, and customer engagement.

This role is for an Associate, ML Data Operations, focusing on data annotation for Amazon Robotics. It's a non-technical role that supports the training and validation of ML models by performing precise annotation tasks on image, video, and text data. The work involves object detection, segmentation, tracking, and evaluation, with a strong emphasis on data integrity and quality.

This role is for a Principal Data Solutions Architect on the AWS ASEAN Specialist Team, focusing on partnering with strategic enterprise customers to drive data and AI transformations. The role involves acting as a trusted advisor to C-suite executives, architecting complex data and AI solutions, leading transformation initiatives, and navigating competitive platform migrations. While AI/ML is a component of the solutions, the primary focus is on data platforms, analytics modernization, and driving enterprise-wide platform decisions and transformation outcomes within a sales and customer-facing context.

This role focuses on driving customer impact and business outcomes by leveraging AWS technology and Amazon's innovation culture, with a specific emphasis on generative AI, agentic systems, and applied AI. The lead will facilitate executive engagements, build scalable mechanisms, and develop next-generation content to help enterprise customers realize value from their AI investments.

This role is for a Sr. Business Intelligence Engineer at Amazon Business, focusing on building measurement, reporting, and analytics foundations. The goal is to support data-driven decisions and emerging generative AI experiences within the B2B space. The engineer will develop data models, visualization products, and reporting solutions, partnering with various teams to define metrics and drive insights. While the role supports AI initiatives and uses AI tools, its core craft is business intelligence and analytics engineering, not direct AI/ML model development.

Data Engineer role focused on building and maintaining data pipelines and infrastructure, with a specific emphasis on contributing to generative AI initiatives and AI-enabled tools. Requires experience in data engineering, ETL, SQL, and scripting languages, with a plus for AWS and generative AI tool familiarity.