Software Development Engineer role focused on building and owning Tier 1 services for Amazon Ads' Sponsored Products and Brands. The role involves designing, developing, and maintaining highly available, scalable systems that determine ad eligibility and serve ads to millions of customers. It leverages generative AI technologies and involves working with numerous machine learning models within a low-latency, high-scale ad serving workflow.

This role focuses on business analysis and data insights within Amazon's Extra-Large Network (AMXL) labor planning team. It involves converting data into actionable insights, ensuring data quality, building scalable tools, and communicating findings. The role will work with Operations stakeholders to deliver labor plans and leverage Python, SQL, HTML, Java, and R for data needs. It also involves monitoring metrics, identifying process improvements, and providing data management processes like querying, macro writing, and report design.

Software Development Engineer role at AWS CloudFront focusing on infrastructure and customer observability, with a specific mention of designing and building advanced ML/AI algorithms for large-scale, low-latency systems serving video from the edge.

Senior System Architect role at Amazon Devices, focusing on defining system architecture for consumer electronics products like Echo and FireTV. Responsibilities include interpreting product requirements, making key design decisions (SoC, compute architecture), tracking market trends, defining roadmaps, and working with silicon vendors. The role requires a hands-on engineer with breadth and depth in areas like computer architecture, SoC design, or applied machine learning, and involves leading cross-functional teams throughout the product development lifecycle. Basic qualifications include a Bachelor's degree in CS/CE/EE and 10+ years of experience or a PhD, with a background in SoC/Silicon engineering, computer architecture, ML, or embedded software. Preferred qualifications include a Master's/PhD, strong understanding of heterogeneous SoC architectures, and expertise in specific technical areas.

Software Development Engineer role within AWS Central SDE Team, focusing on building and maintaining code for various AWS services. While AI/ML is listed as a specialization area, the core responsibilities described are general software engineering tasks. The role requires experience in designing and developing large-scale software systems and mentions knowledge of ML frameworks and fundamentals as preferred qualifications, suggesting an adjacent or exploratory engagement with AI/ML rather than core development.

Software Development Engineers at Amazon Japan Store Tech will design, develop, test, deploy, and maintain distributed software solutions. This role is focused on complex optimization problems within the Amazon Points Platform, which has expanded globally. The team uses AI agents for various aspects of software development and operations, including turning requirements into code changes, monitoring services, and triaging issues. Engineers will be both users and creators of these AI tools, working on platform problems at a worldwide scale.

Data Scientist II role focused on developing and building ML and statistical models for forecasting Amazon Stores' financials, aiming to improve financial decision-making and planning for senior leadership.

This role focuses on developing system-level test solutions for ML acceleration hardware used in Amazon's global server fleet. The engineer will design and implement test strategies, create scalable test infrastructure, and collaborate with hardware and software teams to ensure product reliability and efficiency in data center environments. The role involves debugging complex hardware/software interactions and optimizing test workflows.

Software Development Engineer II role focused on building and operating software for Amazon's global transportation network. The role involves developing features, building data pipelines, working with AWS services, and utilizing optimization algorithms, machine learning models, and GenAI to automate workflows and improve network efficiency. The engineer will be responsible for the end-to-end delivery of features and projects, contributing to design and code reviews, and participating in operational support.

This role focuses on the hardware engineering for AWS cloud servers specifically designed for AI training and inference. The engineer will be responsible for the design, development, testing, and operation of these accelerated servers, working with interdisciplinary teams and manufacturing partners to deliver scalable solutions for AI/ML and HPC workloads. While the servers support AI, the role itself is in hardware engineering, not directly building AI models or agents.

This role focuses on the hardware engineering for AWS cloud servers specifically designed for AI training and inference workloads. The engineer will be responsible for the design, development, testing, and operation of these accelerated servers, collaborating with various teams and partners to deliver scalable solutions. While the servers support AI, the role itself is in hardware engineering, not direct AI/ML model development.

This role focuses on designing, building, and governing agentic creative workflows using generative AI and automation tools within the AWS Brand & Creative organization. The Creative Technologist will identify opportunities to reduce production burden, pilot new creative technology platforms, define standards for AI usage, and train colleagues on these new capabilities. The role emphasizes the intersection of creative craft, emerging technology, and production systems, aiming to enhance brand-compliant asset production at scale.

Software Development Engineer role focused on building and optimizing real-time audio ad serving pipelines and conversational AI integrations for Alexa devices. The role involves designing scalable full-stack technologies, enhancing ad targeting and personalization, and collaborating with Applied Science teams on AI-driven advertising products.

Solutions Architect for AWS Global Sales, focusing on enterprise customers. This role involves understanding customer business drivers, designing cloud-native architectures, and accelerating AWS adoption. The Solutions Architect needs broad technical competence across various domains including AI/ML and Generative AI, with deep expertise in 2-3 areas, and the ability to connect technology to business value.

Software Engineer role focused on the EC2 Nitro System's software-defined networking (SDN) dataplane stack, optimizing performance and availability for various applications including Machine Learning. Requires experience in Dataplane development, System Software/Embedded software, Cloud Computing, and Networking.

Senior Solutions Architect role focused on helping enterprise customers in the UAE adopt and build with generative AI and machine learning. The role involves understanding customer business objectives, designing cloud solutions, building prototypes and proofs of concept, and guiding teams from experimentation to production. It requires deep expertise in cloud infrastructure, modern application development, data analytics, and generative AI/ML.

Senior Solutions Architect role focused on helping enterprise customers with their cloud journey, including migration, modernization, and exploring the application of GenAI and Agentic AI to drive business outcomes. The role involves designing, building, and implementing solutions, turning ideas into working prototypes and production-ready architectures.

The AI Data Associate will be responsible for foundational labeling functions for generative AI and LLMs, working with various data types including text, speech, audio, image, and video. This role involves delivering high-quality labeled data, analyzing error patterns, and proposing solutions to improve labeling quality and operational processes.

The role involves foundational labeling functions for AI, including dialogue evaluation on text, speech, audio, video, and image data. The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and propose solutions to enhance labeling quality. The goal is to support the development and deployment of generative AI and LLMs.

Senior Software Development Engineer to build intelligent systems for AWS Infrastructure Services using Generative AI to automate alarm triage and analysis in data centers. This role involves integrating AI services like Amazon Bedrock, designing and building new platforms, and providing technical leadership to a team of engineers. The focus is on applying AI to solve operational problems, not on core AI research or model training.

This role focuses on owning the data science elements of various products, including data-based decision making, product performance optimization, and tracking. The Data Scientist III will work with product managers to drive product design and build planning, translate business problems into data requirements, and initiate the design, development, and implementation of scientific analysis projects. Responsibilities include owning analysis, modeling, system design, and development of data science solutions, as well as communicating results to the business and bridging uncertainty in problem definition and solution approaches. The role requires building statistical and machine learning models using large datasets and scripting languages like Python or Java.

Director of Software Development leading an engineering team focused on fraud defense, piracy prevention, and data regulation. The role involves designing, developing, and scaling tools and platforms to detect, prevent, and mitigate fraud and piracy. It also includes ensuring service recoverability, compliance, and trustworthiness, partnering with data science and ML teams to operationalize fraud detection models, and driving the adoption of Generative AI tools in development workflows.

This role focuses on integrating AI-assisted design tools and agentic workflows into Amazon Business's design system (Ink). The Senior UX Design Technologist will lead the re-architecture of Figma libraries to be AI-ready, ensure design assets are compatible with AI tooling, and act as a bridge between design, engineering, and AI platform teams. The goal is to transform AI-assisted design from experiments into a scalable, system-integrated workflow, evaluating and operationalizing AI tools while accelerating adoption without compromising quality.

Solutions Architect role focused on enabling customers to integrate with Amazon's Selling Partner APIs, providing technical guidance, and developing reference architectures and code samples. The role requires a balance of technical depth and customer-facing experience, with a critical ability to link technology to business value.

This role is for a Support Engineering Manager at Amazon, focusing on leading a team that ensures the operational health and seamless functioning of global advertising billing applications. The manager will oversee incident resolution, drive strategic improvements, manage systems with strict SLAs, and foster innovation, including the adoption of Generative AI and automation to enhance support processes and system resilience. The role requires strong leadership, technical expertise in distributed systems and AWS, and collaboration with development and product teams.

Data Scientist III role focused on owning data science elements of products, including data-based decision making, performance optimization, and tracking. Responsibilities include working with product managers, translating business problems into data requirements, initiating and owning analysis, modeling, system design, and development of data science solutions, and communicating results. Requires experience in building statistical and machine learning models, complex data analyses using scripting languages (Python, Java), and communication for requirements gathering and process development.

This role is for a Senior Solutions Architect at AWS, focusing on helping enterprise customers in India with their digital transformation journeys using AWS services. The role involves designing cloud architectures, leading technical discussions, and understanding customer business challenges. While the role touches upon various AWS services including machine learning and analytics, its core function is not to build or ship AI/ML models but to architect solutions that leverage these services for business outcomes.

Software Development Engineer to join the RDS Security Monitoring team, focusing on developing a product that analyzes security telemetry from Aurora and RDS databases and operates agentic AI solutions to troubleshoot and mitigate security threats. The role involves building and operating these solutions at massive scale within a customer-facing AWS service.

Security Engineer role focused on building and operating security logging pipelines and developing monitoring/detection capabilities for AI/ML workloads and AWS infrastructure at Amazon scale. The role involves programming, security frameworks, incident response, cloud security, and securing applications integrating LLMs/generative AI.

Senior Solutions Architect for AWS Plus team supporting Prime Video, Prime Video Sports, and Amazon MGM Studios. The role involves advising on cloud strategy, architecting media and entertainment workloads, and guiding AI adoption using services like SageMaker and Bedrock for model hosting and GPU optimization for inference and training. The focus is on production-scale AI workloads within the media and entertainment domain.

This role focuses on language data, primarily in the areas of text annotation and general data analysis deliverables for Alexa AI. The ML Data Linguist will handle unique data analysis requests, provide data quality expertise, and contribute to process improvements. Responsibilities include labeling, generating, and ensuring the quality of datasets, working with ML Data Linguists and scientists to resolve annotation guideline issues, and conducting qualitative error trend analysis.

This role focuses on applying expertise in human visual perception to guide the design, evaluation, and optimization of next-generation display systems and visual experiences for Amazon's device portfolio. It involves developing computational models of human vision, designing psychophysical experiments, analyzing data, and building perceptual simulation pipelines to inform display hardware and software decisions. The role bridges vision science, computational modeling, display engineering, and user experience, translating perceptual principles into product specifications.

Software Development Engineer II role focused on the user-space software for Elastic Fabric Adapter (EFA) network cards, crucial for Machine Learning (ML) and High-Performance Computing (HPC) customers on AWS. The role involves writing high-performance C code for open-source projects, inventing new networking APIs, optimizing for low latency and high bandwidth, and supporting major AI companies. The team is part of Annapurna Labs and focuses on enabling next-generation ML in the cloud.

This role focuses on business intelligence and data analysis for Amazon's promotions and events. The engineer will develop analytical reporting, conduct deep dives, and leverage LLMs to generate insights and drive growth discussions. The role also involves improving data sources and ensuring data quality. While the role uses LLMs, its core function is business intelligence and data engineering, not direct AI model development.

Associate Support Engineer role focused on technical support for AWS Region Services, involving troubleshooting, interacting with engineers, leveraging Linux experience, driving service team communication, and improving support processes. The role also involves writing technical articles, coaching new hires, and using internal AI systems for problem-solving.

This role manages a team responsible for the deployment automation of Wireless and Access networks within Amazon's Operations Technology. The focus is on transforming innovative network designs into production-ready implementations that support a wide range of technologies including robotics, industrial IoT, sensors, drones, and mobile devices. The role involves setting technical vision, driving operational excellence through automation, partnering with internal and external teams for innovation, and establishing engineering metrics for service health and performance. While AI and ML are mentioned as tools to enhance network automation and operations, the core function is network engineering and management, not direct AI/ML model development.

Lead Software Development Engineer for Audible's Playback team, focusing on core playback logic, services, and audio ad systems. The role involves designing, architecting, and implementing machine learning solutions for audio advertising at scale, optimizing ad serving, and integrating conversational AI. Requires strong software development, system design, and leadership skills.

The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, and video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to improve labeling quality. The role requires strong analytical thinking, problem-solving, and attention to detail, with fluency in Dutch and English.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, to support the development and deployment of generative AI and LLMs at Amazon. This role involves working with diverse data types, delivering high-quality labeled data, analyzing root causes of errors, and proposing solutions to enhance labeling quality.

This role focuses on improving global logistics and delivery experiences by building and validating predictive and classification models using machine learning techniques. It involves feature engineering, exploratory data analysis, and partnering with operations teams to implement ML solutions within Amazon's fulfillment and delivery network.

This role focuses on building business intelligence and analytics solutions for Amazon's satellite broadband network (Amazon Leo). The Senior Business Intelligence Engineer will architect and deliver data-driven insights to streamline production operations, develop key metrics, build self-service reporting, and create data pipelines. While the role requires staying current with AI/ML advancements and evangelizing new technologies, its core function is data engineering and business intelligence, not direct AI/ML model development or deployment.

The Senior Business Intelligence Engineer (Sr. BIE) on the Amazon Just Walk Out (JWO) team is a strategic technical leader responsible for designing and delivering scalable business intelligence solutions that drive data-informed decision-making across the JWO organization. This role combines deep technical expertise in data engineering, analytics, and visualization with strong business acumen to transform complex data into actionable insights. The Sr. BIE partners with leadership, product teams, operations, and engineering to build robust reporting frameworks, automate data pipelines, and enable self-service analytics that support the growth and optimization of Amazon's cashierless retail technology platform.

This role manages a team responsible for developing and scaling AWS' Machine Learning infrastructure through strategic colocation partnerships. It involves managing the lifecycle of ML-focused colocation deals, ensuring operational excellence, contractual compliance, and infrastructure reliability for ML workloads. The role collaborates with various internal teams and external partners to optimize colocation strategies supporting AWS' ML service scaling.

This role focuses on analyzing data, detecting anomalies, and preventing fraudulent activity on Amazon's platform by deploying rules and leveraging machine learning systems. It involves working with large datasets, identifying patterns, and collaborating with product managers, scientists, and engineers to maintain customer trust and prevent bad actors.

This role is for a Business Intelligence Engineer on the Alexa Enterprise Data team. The primary focus is on defining metrics and KPIs, and performing deep-dive analyses on large datasets to provide actionable insights to business stakeholders. The role involves building and maintaining automated reporting solutions and data pipelines, with a strong emphasis on SQL, ETL, and data wrangling. While the team works with Generative AI and LLM capabilities, this role is primarily focused on the data infrastructure and insights generation rather than direct AI/ML model development.

This role focuses on auditing and optimizing machine learning data workflows, acting as a deep expert in 1-2 workflows and leading quality audit teams. It involves hands-on audit execution, analysis of data quality, and providing insights for workflow improvement.

The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems.

The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems.