Data Scientist II for AWS Managed Operations Intelligence (MOI) team. Responsible for the end-to-end data science lifecycle, including data exploration, ETL, model development, and data visualization, leveraging various analytical and AI frameworks to solve complex business problems and drive data-driven transformation. Focuses on reducing operational load and toil through long-term engineering projects.

This role focuses on developing firmware for power and performance management on ML acceleration chips. The engineer will design and implement intelligent control algorithms, optimization strategies, and real-time decision-making systems, working closely with hardware architects and focusing on resource-constrained environments. The role involves building instrumentation and tracing capabilities for algorithm development and validation.

Product Manager-Technical to drive trust, privacy, accessibility, and responsible AI initiatives across Amazon's Devices & Services portfolio. Own product strategy and execution for privacy-preserving features, accessibility standards, and RAI frameworks while delivering delightful customer experiences. Combines technical depth with product thinking to shape how millions of customers interact safely and inclusively with AI-enabled devices and services.

This role focuses on designing, delivering, and operating next-generation server infrastructure for AI training and inference workloads within AWS. It involves collaborating with various engineering teams and suppliers to ensure high performance, efficiency, and scalability of the hardware systems that power AI/ML and HPC in the cloud.

This is an internship role for Software Development Engineers at Amazon, focusing on building and operating innovative products and services. Interns will work on scalable cloud-native architectures, participate in code reviews, and contribute to technical documentation. A key responsibility involves leveraging and contributing to GenAI and AI-powered tools to improve development productivity. The role requires experience with at least one general-purpose programming language and data structure/algorithm fundamentals, with a preference for prior internship experience or AI-related experience.

Data Science Manager role at Amazon PXT Central Science, focusing on leading a team to build structural and predictive models, leverage data science workflows, and drive innovations for customer impact. The role involves team management, technical direction, and strategic planning, with a focus on improving Amazon and the lives of Amazonians through economics, behavioral science, statistics, machine learning, and Generative AI.

Software Development Manager for the NKI Compiler Team at Amazon Annapurna Labs, focusing on developing and optimizing a new compiler for AWS custom ML hardware (Inferentia and Trainium chips). The role involves leading a team of compiler engineers to deploy compiler optimization algorithms and a new compiler at scale, targeting AWS ML accelerators. The team works on the AWS Neuron SDK, including an ML compiler and runtime, integrating with frameworks like PyTorch and TensorFlow. The role requires strong leadership, technical expertise in compilers, and collaboration with AWS ML services teams.

This role is for a Sr. Manager of GenAI Strategy within AWS, focusing on leading a team that helps customers enhance business outcomes using generative AI and broader data science. The role involves partnering with customers and various AWS teams, refining programmatic approaches to drive business metrics, and educating customers on the value of generative AI and AWS services. The ideal candidate will have experience in customer-facing roles, team management, technical program launches involving AI/ML, and a strong understanding of connecting business value to scalable solutions.

Director, Applied Science role focused on Stores Economics and Science, leveraging economics, statistics, and machine learning to optimize Amazon's buyer-seller economy. The role involves leading the development of scientific models, collaborating with scientists and engineers on data analysis and validation, and translating analysis into actionable business strategies. It requires strong economic expertise, modern data science tools, and the ability to communicate complex findings to business partners.

Product Manager for Amazon Connect's Interactive AI team, focusing on developing next-generation generative AI infused agent, manager, and end-customer experience capabilities for a cloud-based contact center. The role involves defining product roadmaps, writing requirements, partnering with marketing, managing prioritization, and driving executive communications.

This role is for a Senior Startup Investor Manager within AWS Startups. The primary responsibility is to identify and work with early-stage startups and venture capital firms to accelerate their success on AWS. The role requires technical depth in cloud computing and emerging technologies like generative AI, combined with business acumen and investment insight to help startups leverage AWS infrastructure for growth. The focus is on driving initiatives, designing solutions, and gathering market signals from investors and founders to inform AWS innovation.

Senior Manager, TPM to lead a portfolio of high-impact, cross-functional programs and mentor a team of TPMs delivering AI-driven communication products at global scale. The role focuses on program management and team leadership for AI-powered communication products, not direct AI/ML model development.

The role focuses on designing and optimizing hardware (ASICs) for AWS's machine learning servers, specifically for inference acceleration. This involves integrating subsystems, implementing RTL, analyzing trade-offs for performance, power, and area, and working with various engineering teams throughout the design cycle.

ML Compiler Engineer II on the Neuron Compiler Automated Reasoning Group, developing and maintaining tooling (fuzzers, specification synthesis) for an LLVM-based compiler that optimizes ML models for custom ML accelerators (Inferentia/Trainium). Focus on accuracy and reliability of the compiler stack.

Software Development Manager for AWS Neuron Frameworks, leading a team to develop and maintain ML accelerator software stack components, focusing on open-source collaboration with frameworks like JAX, PyTorch/XLA, and OpenXLA.

This role focuses on developing bare metal firmware for custom ASIC-based ML Accelerator chips, working on hardware/software co-design for machine learning systems. While it supports ML acceleration, the core craft is embedded firmware and hardware interaction, not direct ML model development or research.

Principal Economist role focused on developing economic and science products for the Fee domain, specializing in supply chain systems and fees. The role involves developing causal links, pricing strategies, and econometric models for a two-sided marketplace, partnering with various science and technology teams. Requires experience with big data and machine learning or data science.

Sr. Principal Engineer to lead the transformation toward automated, intelligent delivery stations by developing deep understanding of Amazon's delivery station operations and automation technologies, focusing on the convergence of software systems, IoT, and Material Handling Equipment (MHE). This role will be instrumental in defining and executing our strategy to achieve operational efficiencies through innovative automation solutions while maintaining operational excellence.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

This role focuses on applying economics, behavioral science, statistics, and machine learning to identify process improvements within Amazon's People Experience and Technology (PXT) organization. The Economist will work with business partners and engineers to analyze data, estimate models, design pilots, measure impact, and implement solutions at scale, aiming to improve employee outcomes, hiring, development, and retention.

This role involves training and coaching customer-facing field teams and front-line managers on the AWS value proposition and how it drives business outcomes. The role will deliver virtual and in-person learning experiences, facilitate programs, and contribute to the development and iteration of training programs, including those that leverage AI and other emerging technologies.

This role is for a Sr. New Product Lead in Robotics Supply Chain at Amazon. The individual will be responsible for supplier and supply chain strategies, product cost roadmaps, enabling rapid NPI builds, and ensuring successful ramp to mass production for a portfolio of robotic products. They will manage products from concept through development to scaled deployment, working with engineering and product leaders to drive trade-offs and technical strategies. The role requires technical subject matter expertise in robotic product technologies and architectures, and involves contributing to technical strategies and decisions that balance technical and business requirements. The lead will communicate with stakeholders, advocate for commercial opportunities, own forecasting and planning, and report on impact. The role emphasizes strong business ownership, a fast-paced environment, and a proven background in robotics automation, global supplier management, and new product introduction.

This role is for a Senior Manager of Property Tax at Amazon, focusing on leveraging technology and generative AI to transform tax management strategies. The primary responsibilities include leading a team, optimizing tax outcomes, and collaborating with stakeholders. While AI is mentioned as a tool to enhance processes, the core function of the role is property tax management and leadership, not AI/ML development.

This role focuses on ensuring the quality and creative vision of localized English dubbing and subtitling for Amazon MGM Studios' content. It involves researching market trends, driving process improvements, managing talent and vendors, and maintaining relationships within the dubbing industry. While the role has a curiosity towards AI/ML technologies, its core function is product quality and localization management, not AI development.

Software Development Engineer role focused on building an enterprise-wide Big Data Marketplace using AWS technologies. The role involves designing and developing scalable components for data catalog, discovery, and transformation, and mentoring junior engineers. It requires strong software development skills, understanding of big data and parallelization, and customer obsession.

This role is for a Sr. Forward Deployed Engineer at Amazon Web Services (AWS) Professional Services. The primary focus is on designing, implementing, and managing AWS solutions for customers to help them achieve their business outcomes. The role involves working closely with customers and partners throughout their cloud journey, providing technical expertise, and acting as a trusted advisor. Key responsibilities include solution design, implementation, troubleshooting, requirement gathering, and knowledge sharing. While the role mentions emerging technologies and customer success in cloud adoption, it does not involve direct AI/ML model development or research as its core craft. The role is customer-facing and focused on cloud infrastructure and application deployment.

This role is for a Forward Deployed Engineer on the AWS ProServe team, focusing on designing, implementing, and managing AWS solutions for customers. It requires strong software/systems engineering, coding, automation, and design/architecture skills, with experience in cloud architecture and solution implementation, and knowledge of primary AWS services. The role involves collaborating with customers to meet their technical requirements and business objectives throughout their cloud journey.

Enterprise Account Manager for AWS Higher Education and Research in Boston, MA. Responsible for driving cloud adoption, developing account strategies, building relationships with key stakeholders, and creating value propositions for AWS services, including AI/ML capabilities, to support academic research, operations, and student success.

This role is for a Senior Delivery Consultant at Amazon Web Services (AWS) Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the project lifecycle. Responsibilities include architecting scalable solutions, proposing migration strategies, advising on industry trends, and ensuring project success. The role requires a strong understanding of AWS services and experience in cloud migrations and project management.

This role is for a Finance Manager within Amazon's Global Transportation Finance Operations team. The primary focus is on driving Accounts Receivable (AR) performance globally by developing operational metrics, assessing priority areas, conducting operational reviews, and implementing improvements. The role involves partnering with various business, finance, technology, tax, and accounting teams to build scalable receivable processes and resolve defects. Key responsibilities include building financial and operational analyses, scaling services and tools, defining KPIs, collaborating with global stakeholders, resolving critical issues, negotiating processes, and identifying financial/operational risks and opportunities. The role requires experience in finance, process improvements, automation, and applying KPIs, with preferred experience in AR, advanced SQL, and leveraging generative AI tools.

This role is for a Sr. Partner Account Manager at Amazon Web Services (AWS) focused on the Public Sector. The primary responsibility is to help Independent Software Vendor (ISV) partners succeed by building co-sell pipelines, accelerating deal velocity, and driving growth. The role involves developing Go-to-Market (GTM) strategies, engaging with AWS internal teams (Solution Architects, Sales, Marketing), and driving platform adoption and co-sell opportunities. The ideal candidate has a strong business and technical background, experience in partner channel management or direct sales to public sector partners, and can build compelling value propositions. While AI is mentioned as a relevant technical area, it is not the core focus of the role, which is primarily sales and business development.

This role is a Senior Business Development Manager within Amazon's Global Vendor Management (GVM) Program. The primary focus is on supporting the growth of mutual business with a select group of global vendors by building collaborative relationships with vendor executives and internal Amazon teams across various organizations. The role requires strong business judgment, executive communication skills, and the ability to identify and pursue incremental business opportunities. While the role mentions using generative AI tools for workflow efficiency and recognizing opportunities for AI enhancement, the core responsibilities are in business development and vendor management, not in building or shipping AI models or systems.

This role is for a Sr. Delivery Consultant on the Amazon Web Services (AWS) Professional Services team. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and guidance throughout the project lifecycle. Responsibilities include gathering requirements, proposing migration strategies, advising on industry trends, leading implementations, and ensuring adherence to best practices. The role requires a strong understanding of AWS products and services, software development lifecycle experience, and customer-facing project management experience.

Senior Security Engineer role focused on application security within Amazon Stores. Responsibilities include threat modeling, secure code review, developing security automation tools, adversarial analysis, and providing security architecture guidance. Requires strong technical acumen in security, leadership influence, and clear communication skills. Experience with various programming languages and security domains is essential.

Software Development Engineer role focused on building and maintaining large-scale data processing systems and highly available APIs for Amazon Brand Store. The role involves designing, building, and modernizing complex systems, creating real-time data analytics pipelines, and collaborating cross-functionally to drive architectural decisions. While the team is exploring generative AI, this specific role is centered on data engineering and API development.

Internship role focused on research and development in quantum computing, involving theoretical and experimental physics, materials science, and hardware/software engineering. The role aims to develop novel, scalable solutions to advance the state-of-the-art in quantum computing, potentially leading to products for Amazon customers. Requires PhD enrollment and expertise in areas like superconducting qubits, quantum optics, and quantum error correction.

This role focuses on the design and optimization of hardware for data centers, specifically mentioning AWS Inferentia, a machine learning inference product. The responsibilities include physical design implementation, developing cloud infrastructure for physical design work, and improving RTL2GDS flows. While it mentions ML inference products, the core of the role is hardware engineering and physical design, not direct AI/ML model development or research.

Software Development Engineer in Test (SDE-T) Intern role focused on creating automated test scripts, identifying software issues, and building automation frameworks. The role involves collaborating with engineers to validate and verify software, troubleshoot defects, and manage bug reports. Requires programming experience and a QA background.

This role is for a Sr. Cloud Solutions Consultant at Amazon Web Services (AWS) Professional Services. The consultant will work with customers to design, implement, and manage AWS solutions, providing technical expertise and best practices throughout the project lifecycle. Responsibilities include designing scalable AWS solutions, providing technical guidance, gathering requirements, and acting as a trusted advisor on industry trends. The role requires a strong software/systems engineering background with coding, automation, design, and architecture skills. A Top Secret security clearance is mandatory.

Software Development Engineer role focused on building and scaling advertising measurement and reporting systems using big data technologies and AWS services. The role involves processing massive volumes of advertising events daily to provide performance metrics for advertisers.

Senior Software Development Engineer for AWS Marketplace, focusing on building and scaling complex cloud marketplace infrastructure and features. The role involves owning end-to-end design and implementation of major deliverables, collaborating with various teams, and ensuring operational excellence in a high-growth environment.

This role is for a Senior Business Intelligence Engineer at Amazon Leo, focusing on building analytics and data foundations for the global marketing engine. The engineer will design and build datasets, dashboards, and pipelines, manage backend data architecture in Customer Data Platform (Treasure Data), and ensure data accuracy and actionability across the customer journey. Responsibilities include architecting datasets, developing SQL transformations and data models, managing dashboards, conducting deep-dive analysis, translating business questions into analytical approaches, and driving alignment on KPIs and data governance. The role requires collaboration with various teams and involves strategic and technical decision-making.

This role is for a Technical Account Manager (TAM) within AWS Enterprise Support, focusing on helping enterprise customers design, build, operate, and secure their cloud environments. The TAM acts as a principal technical advisor, driving customer adoption of AWS services and ensuring operational health. While the company works with generative AI, this specific role is customer-facing technical support and strategy, not direct AI/ML model development or research.

This role is for a Cloud Solutions Consultant within Amazon Web Services (AWS) Professional Services (ProServe) team, focusing on National Security (NatSec). The consultant will work with customers to design, implement, and manage AWS solutions, provide technical guidance, gather requirements, propose migration strategies, and act as a trusted advisor on industry trends and emerging technologies. The role requires strong software/systems engineering, coding/automation, and design/architecture skills, with a focus on enterprise cloud adoption and customer success throughout their cloud journey. The position also involves knowledge sharing through mentoring and training.