Amazon

This Business Analyst role focuses on financial risk mitigation using machine learning and big data solutions. The responsibilities include reporting trends, identifying opportunities, creating optimization models, and ensuring data accuracy. While the role mentions ML and big data, the core function is business analysis and reporting, not direct AI/ML model development or deployment.

This role is for a Data Engineer focused on building and maintaining data foundations, designing and implementing scalable data architectures, creating reliable data pipelines, and establishing data standards. The role involves working with big data technologies and cloud computing to enable advanced analytics and machine learning capabilities.

This role focuses on security, risk, and compliance consulting for cloud migrations, primarily on AWS. The consultant will provide architecture guidance, lead proof-of-concept projects, and conduct workshops to help customers and partners address their information security and regulatory compliance needs in large-scale computing environments. The role involves pre-sales support, solution design, and advisory services for implementing robust security solutions.

Software Development Engineer (SDE) role focused on pre-silicon hardware/software co-development for machine learning chips. Responsibilities include working with architecture and design teams, writing bare-metal software for verification, and ensuring end-to-end functionality of the SoC and its subsystems. Requires experience in embedded software, system development, or chip design.

This role is for a Risk Manager on the Driver Identity Verification team at Amazon. The primary responsibilities include leading a team of investigators, overseeing risk reviews, developing employee performance, and driving process improvements to mitigate fraud and account takeovers. The role involves data analysis, reporting, and collaborating with global teams to enhance customer experience and protect Amazon from risk. While the team aims to leverage technology and data, the core function is risk management and operational leadership, not direct AI/ML model development.

This role focuses on the design and optimization of hardware, specifically Design for Test (DFT) architectures, within Amazon's data centers. It involves RTL coding, verification, integration with design teams, and silicon debug, contributing to the development of custom chips and accelerators for AWS.

This role is for a Sr. ASIC Design Engineer focused on designing and optimizing hardware for AWS's machine learning servers, specifically custom SoCs like AWS Inferentia. The engineer will be responsible for integrating subsystems, implementing RTL, analyzing trade-offs for performance, power, and area, and ensuring design quality for high-performance, power-efficient chips used in ML inference.

This role focuses on architecting and implementing cloud infrastructure and automation, leveraging insights from machine learning to enhance security and compliance. It involves engaging with customers to provide architectural guidance, developing automation solutions with scripting languages, and collaborating with leadership to influence the AWS service roadmap. The role also includes creating reusable technical assets like reference architectures and best practice guides.

This role manages a team focused on driver identity verification and fraud prevention within Amazon's transportation logistics. It involves overseeing investigations, developing processes, managing metrics, and collaborating with global teams to mitigate risks and improve customer experience. The role requires strong analytical and leadership skills, with a focus on operational efficiency and data-driven decision-making.

Systems Development Manager for AWS Region Services in Australia, focusing on secure, scalable cloud environments. The role involves developing and deploying operational tools, managing teams, building and managing scaled services, troubleshooting customer issues, and tracking service health. Requires strong Linux and development tool familiarity, with an emphasis on security clearances and collaboration with product teams to design and deliver solutions.

Senior Software Development Engineer role focused on building and improving the EC2 Windows OS platform for enterprise customers on AWS. The role involves developing next-generation services, large-scale distributed systems, and optimizing performance for high-performance computing workloads. Responsibilities include system-level programming, driver development (user/kernel mode), architecture design, CI/CD improvement, and collaborating with various teams. While the team mentions 'machine learning powered troubleshooting services', the core of this role is in OS and systems engineering, not direct AI/ML model development.

This role focuses on analyzing large datasets to detect anomalies, identify bad actor behaviors, and deploy rules to prevent fraudulent activity on Amazon's platform. It involves data analysis, root cause analysis, and collaboration with product managers, scientists, and engineers, but the core function is rule-based analysis and not direct AI/ML model development.

Software Development Engineer role at Amazon Ring Neighbors, focusing on building and operating large-scale cloud systems for a hyperlocal social networking app. The role involves shaping the definition, vision, design, roadmap, and development of core services, with a mention of a machine learning (ML) component ripe for future investment. The team uses Go, Python, AWS services, and works on backend services and web tools for internal customers. The primary focus is on software development, design, architecture, and cloud computing, with a future opportunity to invest in ML.

Finance Manager to partner with Amazon Fulfillment Technologies (AFT) to drive future innovations. Responsibilities include financial and strategic analysis, developing recommendations, influencing business owners, and supporting decision-making in a fast-paced environment. Requires a Bachelor's degree in finance or related field and 5+ years of finance experience.

This role is a Senior Programmatic Solutions Consultant for Amazon Ads, focusing on managing the end-to-end experience for enterprise customers using the Amazon Demand Side Platform (DSP). The consultant will provide services like onboarding, training, and consultation, analyze data to identify improvements, and gather customer feedback to inform product development. The role requires extensive experience in programmatic advertising, client-facing consultative roles, and data analysis, with a focus on helping customers meet their business objectives using Amazon's advertising technologies.

This role is for a Senior Business Intelligence Engineer at Amazon Logistics, focusing on designing and building automated reporting and dashboards from complex data to identify strategic initiatives. The role involves working with large datasets, SQL, and BI tools, and collaborating with various internal teams to deliver data-driven solutions. While the team aims to leverage technology to improve learning outcomes, the core function of this role is data engineering and business intelligence, not direct AI/ML model development.

Software Development Engineer role focused on designing, developing, and validating firmware for AWS-specific solid-state drives (SSDs). The role involves working with NAND vendors, controller vendors, and internal hardware/software teams to optimize SSD performance, reliability, and observability within the AWS environment.

This role involves auditing videos of stowing actions in Amazon Robotics fulfillment centers to ensure inventory accuracy and stow quality. It is an operational role focused on human judgment and data auditing.

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 accuracy.

This role involves auditing videos of robotic stowing actions in fulfillment centers to ensure inventory accuracy and stow quality. It's an operational role requiring attention to detail, speed, and accuracy in reviewing visual data.

The role is for a Design Verification Engineer focused on machine learning hardware within Amazon's cloud server platforms. Responsibilities include verifying hardware and software solutions, developing verification plans, and measuring progress towards customer metrics. The role requires a Bachelor's degree in Electrical Engineering and experience in identifying and debugging bugs at various levels of logic. Preferred qualifications include a Master's degree and experience with formal verification techniques and specific ISAs.

Software Development Engineer role focused on Last Mile Technology within Amazon Logistics. The role involves building and optimizing systems for package delivery, route optimization, and fleet management, leveraging AI and machine learning. The primary focus is on the engineering and deployment of these systems into a customer-facing product.

This role is for a Design Verification Engineer focused on the hardware infrastructure for Amazon Web Services (AWS) data centers, specifically within the Cloud-Scale Machine Learning Acceleration team. The engineer will be responsible for verifying and validating hardware and software solutions, developing verification plans, and measuring progress towards customer metrics. The role emphasizes working with emergent technologies and improving product performance, quality, and cost.

This role is for an Associate Systems Engineer on the AWS Region Services team in Melbourne, Australia. The primary focus is on operating and improving large software systems, troubleshooting issues, implementing Operational Excellence best practices, and automating manual processes within secure, scalable cloud environments. The role requires experience with Linux, troubleshooting scalable systems, and scripting for automation. While AI and ML are mentioned in the context of the team's work, the core responsibilities of this specific role are centered around systems engineering, operations, and support within a regulated environment.

Senior ProServe Sales Manager for AWS Professional Services in Korea, leading a team to drive IT projects focused on cloud adoption and digital transformation. The role involves customer relationship management, sales strategy, team development, and ensuring customer satisfaction by translating technical concepts into business value.

This role focuses on designing, developing, and operating AWS cloud offerings for AI/ML and HPC workloads, specifically involving accelerated servers for AI training and inference. The engineer will work with interdisciplinary teams and partners to bring these servers to data centers and oversee their performance and quality post-launch.

Systems Engineer role focused on operating and maintaining secure, scalable cloud environments within AWS Region Services in Australia. Responsibilities include defining hardware requirements, developing management tools, adapting operations systems, executing acceptance tests, monitoring fleet health, and participating in on-call rotations. Requires Australian citizenship and security clearance.

Software Development Engineer III role at Amazon Prime Video, focusing on the commerce tech platform that powers the global offer ecosystem. The role involves designing, developing, and deploying end-to-end solutions for distributed systems, security, concurrency, scalability, availability, durability, and performance engineering. The team manages the entire offer lifecycle, including TVOD rentals, purchases, channel subscriptions, and account sharing enforcement, aiming to deliver personalized and contextually relevant offers. The platform processes millions of daily transactions and supports numerous client services. While AI is mentioned for personalization and ranking, the core of the role is in building and scaling the commerce platform.

This role supports the backend non-technical operation of Amazon Go Stores by performing data collection tasks, adhering to SOPs, and participating in process improvement. It is not directly involved in AI/ML model development or deployment.

This role leads global Ad moderation and relevance quality operations, focusing on audit excellence, defect reduction, and advertiser experience. It involves overseeing human and machine judgment systems, managing advertiser appeals, and influencing product/policy roadmaps. The role also includes providing human-in-the-loop training data for ML models and managing a large global team.

The role is for a Design Verification Engineer focused on machine learning hardware in AWS data centers. Responsibilities include verifying hardware and software solutions, developing verification plans, and measuring progress. The role requires a Bachelor's degree and experience in design verification using System Verilog and UVM.

This role is for a Senior Business Intelligence Engineer at Amazon, focusing on Delivery Choices within the Delivery Experience organization. The primary responsibility is to analyze and deliver insights to improve customer experiences related to delivery options. The role involves working with large datasets, applying statistical analysis, and collaborating with business stakeholders to drive actions. Experience with SQL, data extraction, transformation, cleaning, design of experiments, statistical analysis, AWS technologies, Python scripting, information retrieval, data science, machine learning, and data mining is required.

Software Development Engineer II at Amazon, focusing on designing and developing scalable financial systems and solutions for global financial transactions using AWS cloud technologies. The role emphasizes architectural design, software development, testing, deployment, and advocating for engineering best practices. While AI/ML experience is a plus, it is not the core focus of the role.

System Development Engineer focused on integrating robotics and automation within Amazon's global fulfillment network. The role involves developing core machine control logic for industrial edge devices, designing system controls architecture, and integrating control systems with various hardware and software services. It requires experience with PLC-based controls, machine control code development, and a background in industrial automation.

This role focuses on helping Private Equity firms and their portfolio companies leverage cloud technologies, specifically AWS, to improve operations and build new solutions. The Solutions Architect will act as a trusted advisor, providing technical leadership and thought leadership to C-level executives and technical leaders, bridging the gap between business needs and technology solutions. The role involves educating clients on cloud capabilities, designing reference architectures, and influencing AWS's roadmap. While not directly building AI models, the role is within an enterprise AI context by helping businesses adopt advanced technologies.

This role is for a Sr. Formal Verification Engineer focused on hardware design and optimization for cloud server infrastructure, including machine learning inference products like AWS Inferentia. The responsibilities involve developing formal verification plans, implementing and verifying IP architectures, and using formal methods and abstraction techniques. While the role touches on ML inference hardware, the core craft is hardware design and verification, not AI/ML model development or research.

Software Development Engineer role focused on Last Mile Planning at Amazon, developing and owning software components for efficient and reliable package delivery. The role involves working with ML and Operations Research algorithms, but the core focus is on software engineering and delivery within the existing systems.

System Development Engineer role focused on building and maintaining tools for automating the deployment, management, and monitoring of complex material handling systems, including conveyor networks, robotic workcells, and industrial control systems. The role involves innovating in building Human Machine Interfacing Platforms and a mission-critical equipment visualization platform, collaborating with various engineering teams and product managers.

Practice Manager for AWS Security Assurance Services in Saudi Arabia, focusing on helping enterprise customers migrate to the cloud securely and meet compliance objectives. This role involves building and leading a team of consultants, engaging with customers (including C-suite), and supporting business development efforts.

This role is for a Senior Process Engineer in Amazon Robotics' manufacturing and technical operations. The primary focus is on process optimization, cost reduction, and developing manufacturing/test processes for new product introductions. The role involves implementing technology improvements, performing process reviews, and writing operational planning documents. While the company works with AI and robotics, this specific role is centered on manufacturing process engineering, not direct AI/ML development.

This role is a Trade Compliance Program Manager for AWS Security in the APAC region, focusing on import and export compliance for infrastructure equipment. The role involves building and owning compliance processes, managing stakeholder relations, providing guidance on trade activities, assisting with technology and hardware trade classification, and monitoring regulatory changes. It requires experience with customs and trade compliance, import/export operations, and leveraging technology for process improvements.

This is an intern/co-op position for a Process Engineer within Amazon Robotics, focusing on manufacturing process optimization, data collection, cycle time studies, root-cause analysis, and creating training modules. The role involves creating business process models, gathering requirements, researching production system issues, supporting supplier improvements, and participating in Lean initiatives. While the role is within Amazon Robotics and mentions machine learning and computer vision as technologies used by the broader team, the core responsibilities of this specific intern role are focused on process engineering and optimization, not direct AI/ML model development or deployment.

This role is for an intern/co-op on the Robotics Deployment Engineering team at Amazon Robotics. The primary responsibilities involve overseeing the installation, troubleshooting, integration, and commissioning of Amazon Robotics equipment in fulfillment centers. This field engineering role requires strong technical skills in mechanical, electrical, and networking systems, as well as software configuration. The candidate will collaborate with various internal and external stakeholders, develop technical documentation, and drive continuous improvement initiatives. The role involves significant travel and requires a foundational knowledge of robotics and networked systems.

This is an internship/co-op role in Amazon Robotics focused on supply chain processes, including planning, sourcing, logistics, and systems. The role involves understanding and improving existing processes, leading automation projects, developing metrics, and supporting new product introductions within the supply chain organization. While the company utilizes AI and ML in its robotics, this specific role is centered on supply chain operations and business process improvement, not direct AI/ML model development.

This is an internship/co-op role for an Industrial Engineer focused on robotics manufacturing and technical operations. The role involves managing projects, developing project schedules, managing risk registers, gathering and analyzing data for KPIs, and driving continuous improvement initiatives using lean principles. The position is within Amazon Robotics, which utilizes various automation technologies including machine learning, but the core function of this role is industrial engineering and project management within a manufacturing environment.

This role is for a Sr. Hardware Engineer focused on the design, definition, and validation of AWS's next-generation ML Chips and Cards, including server integration and PCIe/Serdes topics. The engineer will optimize hardware for data centers and work with cross-functional teams on large-scale server deployments.

This role is for a Programmatic Solutions Consultant at Amazon Ads, focusing on supporting enterprise customers with the Amazon DSP. The consultant will manage customer relationships, provide training and consultation, analyze data for recommendations, and gather customer feedback to influence product development. The role requires experience in advertising technology and programmatic advertising, with a focus on client-facing consultative services and data analysis.