This role is for a Videographer Lead at Amazon's Elevated Shopping division, focusing on creating high-quality video content for online shopping experiences. The role involves managing all aspects of video production from concept to delivery, including filming, editing, directing, and establishing production workflows. While the role mentions leveraging AI technology and generative AI tools to enhance workflow efficiency and identify opportunities, the core responsibilities are in traditional videography and production management, not in building or researching AI models.

This role involves auditing videos of stowing actions in Amazon Robotics fulfillment centers to ensure inventory accuracy and stow quality. The Associate will use human judgment and provided tools to verify product locations, requiring high attention to detail and speed. This is an operational role focused on data auditing.

Sr. Vendor Manager for Canada Retail Softlines responsible for category P&L, vendor partnerships, selection, profitability, pricing, and customer experience. Requires strong business judgment, negotiation skills, analytical thinking, and leadership.

This role is for a Sr. Physical Design Engineer focused on custom SoCs for AWS Machine Learning servers, specifically AWS Inferentia and Trainium Systems. The engineer will be responsible for the design and optimization of hardware in data centers, covering the full RTL-to-GDSII flow, including synthesis, floor planning, place and route, timing closure, and physical verification. The role involves developing physical design methodologies and evaluating third-party IP, with a focus on power-performance-area tradeoffs for ML acceleration hardware.

This role is for a Sr. Physical Design Verification Engineer focused on the physical verification and integration of custom SoCs for AWS Machine Learning servers, specifically AWS Inferentia and Trainium Systems. The engineer will drive full chip floorplan, integration, and physical verification sign-off, optimize methodologies using EDA tools, perform various verification checks (DRC, LVS, PERC), debug issues, and mentor junior engineers. The role requires expertise in physical verification tools and semiconductor manufacturing processes.

This role is for an Influencer Business Development Manager at Amazon, focusing on helping influencers monetize and scale their affiliate commerce content in Italy. The role involves strategic relationship management, sales performance analysis, creative collaboration, and program innovation, with a strong emphasis on data-driven insights and understanding the creator and marketing landscape. While the role mentions using generative AI tools for workflow efficiency, it is not the core craft.

This role focuses on business intelligence and data analytics to improve the quality of address data for Amazon's last mile delivery operations. It involves working with large datasets, developing metrics, conducting statistical tests, and using data visualization tools. While it mentions experience building machine learning models as a preferred qualification, the core responsibilities are centered around data analysis and business intelligence rather than core AI/ML development.

Senior Merchandise Planner at Amazon Shopbop responsible for creating and maintaining financial plans, optimizing sales and inventory, managing replenishment, and identifying strategic vendor negotiations. The role also involves identifying new tool opportunities and partnering with tech for solutions to improve efficiency, with a focus on long-term automation goals.

Software Development Engineer II role focused on designing and implementing full-stack technologies for FireTV, Fire Tablet, and Alexa devices to enhance customer content consumption experiences. The role involves creating innovative customer experiences using Android, cloud services, and frontend/backend technologies, collaborating with product and UX teams, and architecting solutions for user interaction and entertainment discovery.

This role focuses on building and operating infrastructure for silicon development, including cloud infrastructure, HPC clusters, and automation tooling. While it mentions "Machine Learning Accelerators" and working with teams developing custom silicon for AWS, the core responsibility is infrastructure engineering, not direct AI/ML model development or research. The role supports AI hardware development but is not an AI/ML role itself.

The Senior Product Manager Tech for Amazon EFS will define and build the future of cloud-based file storage. This role involves end-to-end ownership of current and new features targeting diverse file storage workloads, including machine learning training. The product manager will define the roadmap for new products and features at the intersection of file storage and cloud technologies, focusing on performance, durability, and intelligent tiering. Responsibilities include portfolio strategy, product definition, messaging, pricing, adoption, customer interaction, and sales enablement.

This role is for a Senior Business Operations Manager within Amazon's Talent Solution's Core Science and Engineering organization. The primary focus is on strategic planning, operational excellence, and driving initiatives related to talent evaluation and development, leveraging advanced machine learning technologies. The role involves partnering with PXT and leadership to shape talent strategies, improve organizational capabilities, and develop scalable frameworks. While the team uses AI/ML, this specific role is focused on the operational and strategic planning aspects, not direct AI/ML development or research.

This role is for a Manager III Business Intel at Amazon, focusing on improving global address management programs for last mile delivery. The individual will shape strategy, drive quality improvements, and influence technology and operations teams. Responsibilities include managing customer expectations, developing processes, and using data for decision-making. Requires strong analytical, problem-solving, and communication skills, with experience in business intelligence, data warehousing, SQL, and data visualization tools. Familiarity with statistical/machine learning software is also listed.

This role is for a Sr. DFT Design Engineer focused on designing and optimizing hardware (Custom SoCs) for AWS Machine Learning servers, specifically AWS Inferentia and Trainium systems. The responsibilities include defining DFT architectures, working with design and physical design teams, collaborating with cross-functional stakeholders, mentoring junior engineers, and managing project timelines. It requires a strong background in semiconductor ASIC design, DFT tools, and automation scripting.

Software Development Engineer role focused on building new biotechnology products and services, involving scalable data-processing pipelines and collaboration with research/ML teams. The role emphasizes innovation, entrepreneurial spirit, and engineering excellence within a Special Projects team at Amazon.

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 hardware design and optimization for AWS data centers, specifically mentioning AWS Inferentia. The role involves driving technical decisions, ensuring on-time delivery, and establishing best practices for top-level integration. While it's within an organization that designs ML accelerator chips, the core responsibilities are in SOC integration engineering management, not direct AI/ML model development or research.

This role is for a Software Development Manager leading a team that redesigns and revamps a legacy system for customer concessions, aiming to incorporate AI-native approaches to improve customer remediation and support experiences. The focus is on large-scale software delivery, roadmap management, and fostering engineering excellence within a mature customer service technology organization.

This role focuses on Business Intelligence (BI) and Data Engineering for a supply chain product. The engineer will partner with stakeholders to understand insights needs, model complex problems, and use statistical and visualization techniques to derive insights. Responsibilities include developing metrics and dashboards, performing deep-dives, root cause analysis, and working with engineering teams on data capture and storage. The role requires strong SQL, Python, and AWS skills, with experience in data manipulation, statistical analysis, and BI tools like Tableau.

Software Engineer II at Amazon's Annapurna Labs focused on ML acceleration systems software. The role involves developing production software for initializing and monitoring advanced machine learning acceleration servers, including systems software for custom accelerator chips and device drivers. The team works on the physical systems (hardware) that execute ML algorithms, focusing on data paths, PCIe, SPI, and I2C, rather than ML algorithms themselves.

This role focuses on theoretical research and development of new quantum algorithms for fault-tolerant quantum computers, collaborating with scientists and engineers, publishing research, and mentoring interns. It involves analyzing and optimizing existing algorithms, discovering new application areas, and understanding the interplay with quantum error correction. The role requires a PhD in a relevant field and experience in publications or patents.

This role focuses on Business Intelligence Engineering, leveraging data mining, statistical, and machine learning techniques for segmentation and prediction to drive marketing initiatives and improve customer experience. It involves deep dives, data modeling, ETL, and creating visualization dashboards.

This role focuses on sales operations, developing metrics, automating processes, and analyzing data to provide business insights. It involves collaborating with BI teams, supporting strategic initiatives on sales roles, and participating in special projects related to Generative AI, including the development of foundational datasets.

This role supports AWS data center infrastructure contracts, focusing on legal and commercial advice, risk management, and process improvements. It involves reviewing, drafting, and negotiating high-volume contracts for design, construction, operation, maintenance, and security of data centers. The role also emphasizes driving efficiency through workflow automation, standardization, and the adoption of AI tools and legal technology.

This role focuses on defining product strategy and requirements for Amazon Aurora, a cloud database service. The product manager will work on improving user experiences, including those that utilize generative AI, and manage the full product lifecycle from concept to go-to-market. The role requires strong technical background, customer focus, and experience with large-scale SaaS/PaaS/IaaS products and databases.

Senior Enterprise Account Manager for AWS, focusing on the Telco, Media, Entertainment, Games, and Sports sector in Brazil. The role involves owning strategic accounts, driving revenue growth, deepening cloud and AI adoption, and shaping go-to-market strategy. Requires strong sales acumen, technical depth, executive engagement skills, and the ability to architect tailored solutions for industry use cases, including AI/ML-driven automation and transformation.

This role is for a Sr. Product Development & Sourcing Manager for EU Private Brands Consumables at Amazon. The primary focus is on the end-to-end product development and sourcing lifecycle, including identifying manufacturers, negotiating pricing, defining technical specifications, and launching products. While the role mentions leveraging AI and automation to improve efficiency and speed-to-market, the core responsibilities are product development and sourcing, not direct AI/ML model development or deployment. The role aims to launch approximately 50 new ASINs annually and involves collaboration with various cross-functional teams.

This role is a Partner Account Manager for AWS within the Worldwide Public Sector in Australia and New Zealand. The primary focus is on managing and growing relationships with Solutions Integration Partners to drive the adoption of AWS services within the public sector. The role involves strategic planning, business development, co-selling, and ensuring partner success in delivering solutions to public sector customers.

The Network Infrastructure Deployment Manager will be responsible for managing the deployment of network infrastructure for AWS global connectivity, focusing on technical requirements, project schedules, cost efficiency, and quality standards for fiber construction and DWDM network rollouts.

Software Engineer II role at Amazon's Annapurna Labs focused on system software for Machine Learning acceleration servers. The role involves developing production software for initializing, monitoring, and debugging hardware components like accelerator chips, focusing on low-level system software and drivers (C, C++, Python, Lua) rather than ML algorithms. It supports the integration of these servers into EC2 and works with hardware, test, and manufacturing teams.

Seeking an HBM/DDRx validation expert to validate AWS next generation ML Chips, Cards and server integration. The role involves executing HBM across Trainium platforms to improve HBM characteristics for AI servers. Responsibilities include working with vendors, understanding settings, writing/modifying tests, debugging, and collecting data. The role also involves collaborating with architects, design teams, and software engineers, supporting ongoing debug and operations of ML chips, diving deep into IP integration, packaging, silicon bring up, characterization, and validation of HBM subsystems, and developing scripts for daily tasks. The role requires a BS in Electrical Engineering, Computer Engineering, Systems Engineering, Computer Science or related field, with 5+ years of experience in Silicon development, including 3+ years in SOC/IO/Subsystems. Understanding of DDR/HBM at PHY and controller level, and knowledge of DDR/HBM training, timing parameters, and/or controller features are essential. Experience with physical design support, scripting (lua, bash, python), cross-functional triage, system-level debug, and working with third parties is also required.

This role focuses on designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor and providing technical expertise throughout the project lifecycle. It involves collaborating with stakeholders, proposing migration strategies, and ensuring adherence to best practices for scalable, secure, and performant cloud environments. The role also includes knowledge sharing within the organization.

ASIC Design Engineer for AWS Machine Learning servers, focusing on custom SoCs like AWS Inferentia. Responsibilities include RTL design, microarchitecture, optimization for performance, power, and area, and collaboration with cross-functional teams.

This role manages a team responsible for the development and implementation of network infrastructure for Amazon's low Earth orbit satellite network (Amazon Leo). The manager will oversee vendor relationships, enterprise and cloud network infrastructure, and ensure scalability. Key responsibilities include driving operational excellence, leading network deployments, managing team performance, and identifying automation opportunities, including the integration of AI and machine learning to enhance network automation.

Software Development Engineer role focused on designing and developing custom silicon and software for AWS Nitro cards, which accelerate IO and enhance security for EC2 instances. Responsibilities include contributing to Linux services, drivers, applications, and platform bringups, collaborating with cross-functional teams, and staying current with relevant technologies.

Senior Software Engineer on the AWS Compliance & Security Assurance team, responsible for building and scaling services that meet regulatory and customer security/compliance expectations. The role involves designing, building, and owning internal services for monitoring security/compliance attributes, streamlining audits, and continuous monitoring. It requires high-level engineering excellence, technical strategy leadership, mentoring, and operating systems at Amazon scale.

This role focuses on executing defined tasks, creating flow diagrams, and performing repetitive processes with high quality and minimal guidance. It involves managing assignments, prioritizing tasks, and using software tools for data capture, with a strong emphasis on following organizational processes and communicating results.

This role focuses on executing defined tasks, creating flow diagrams, and performing repetitive processes with high quality and minimal guidance. It involves managing assignments, prioritizing tasks, and using software tools for data capture, with a strong emphasis on following organizational processes and communicating results.

This role focuses on executing defined tasks, creating flow diagrams, and performing repetitive processes with high quality and minimal guidance. It involves managing assignments, prioritizing tasks, and using software tools for data capture, with a strong emphasis on following organizational processes and communicating results.

This role focuses on executing defined tasks, creating flow diagrams, and performing repetitive processes with high quality and minimal guidance. It involves managing assignments, prioritizing tasks, and using software tools for data capture, with a strong emphasis on following organizational processes and communicating results.

Software Development Engineer focused on embedded systems for Alexa-enabled devices like Echo Show, Fire TV, and Kindle. Responsibilities include system architecture, feature development, performance optimization, firmware design, and full lifecycle development. The role also involves driving the adoption of Generative AI tools within the software development lifecycle.

This role focuses on building business intelligence solutions and data pipelines for the AWS Partner organization. While it mentions "Agentic delivery" and "Agentic reporting tools," the core responsibilities revolve around data processing, reporting, and analysis using BI tools, rather than directly building or deploying AI/ML models or agents. The AI/ML aspect appears to be about leveraging existing AI capabilities for reporting delivery rather than the primary function of the role.

This role focuses on executing defined tasks, creating flow diagrams, performing repetitive tasks efficiently, managing assignments, and using software tools for data capture. It does not involve core AI/ML development or research.

Vendor Manager for Amazon's Canadian Consumables team, responsible for managing vendor relationships, driving profitability, and optimizing product line performance. This role involves analytical deep dives, cross-functional collaboration, and developing category growth strategies. It is part of Amazon's General Management career path.

This role manages maintenance operations for Amazon's global facilities, focusing on monitoring, predicting performance issues, and planning maintenance activities. It involves leading a team, developing business strategies, and optimizing digital maintenance systems for remote monitoring of building infrastructure and cold rooms.

Marketing Operations Manager responsible for coordinating full-funnel marketing campaigns, ensuring timely execution, and managing cross-functional dependencies. Focuses on process, systems, and accountability structures to enable marketing teams to perform effectively. Involves strategic planning facilitation, dependency resolution, and process improvement.

Product Marketing Manager for Zappos responsible for developing and executing marketing strategies, go-to-market plans, positioning, and launch strategies. The role involves translating product knowledge into customer narratives, identifying expansion opportunities through partnerships, optimizing inventory, creating curated shopping experiences, and driving customer acquisition and revenue growth. It requires competitive research, deep customer analysis, and cross-functional leadership to influence various teams.

This role is a Technical Account Manager (TAM) for National Security customers within Amazon Web Services (AWS). The TAM will act as a strategic technical advisor, helping customers adopt and utilize AWS services, manage their environments, and achieve value. The role requires deep technical acumen, customer-facing skills, and the ability to engage with senior leadership. It is not a sales role but focuses on technical guidance and customer advocacy. A TS/SCI security clearance with polygraph is mandatory.