Software Development Engineer role at Amazon Advertising focused on building scalable ad serving systems that leverage LLMs for personalized ad experiences. The role involves developing and launching these systems, partnering with various teams, and working with the latest technologies in search, advertising, and e-commerce.

Program Manager for a Workforce Management team focused on labor forecasting for grocery stores. The role involves contributing to forecasting strategy, roadmap execution, and delivery, supporting capacity planning and operational decision-making. It requires a systems thinker with expertise in workforce forecasting and the ability to drive alignment across stakeholders. The role will leverage AI/ML to improve forecast accuracy and automate processes, and will partner with Finance for long-range forecasting and financial planning.

This role is for a Program Manager, Tech Subject Matter Expert (SME) in Amazon Logistics (AMZL) Last Mile network. The SME will partner with technology and operations teams to prioritize, develop, optimize, and sustain technology and processes. While the role mentions leveraging AI and ML to transform decision-making and automate human decisions, the core responsibilities focus on program management, process improvement, defining business requirements, and driving adoption of technology solutions. The role does not involve directly building or shipping AI/ML models or systems, but rather influencing and managing the integration of technology, including AI/ML-powered tools, into the operational workflow. Therefore, it is considered AI-adjacent.

Senior Solutions Architect for AWS ISV team, focusing on helping top software companies accelerate their global innovation journey by leveraging AWS Cloud capabilities, particularly in Data, Analytics, and Generative AI. The role involves owning the technical relationship with customers, providing strategic guidance, designing cloud-native reference architectures, and driving adoption of AWS services.

This role focuses on content strategy and development for Amazon's employee amplification program, with a significant emphasis on leveraging and refining generative AI tools for content creation. The specialist will own content creation, messaging, and quality, ensuring alignment with brand guidelines and driving hiring outcomes. Key responsibilities include managing the content library, developing AI content prompts and outputs, creating targeted campaign content, crafting executive messaging, coordinating PR content, developing self-serve templates, localizing content, and measuring performance. The role requires a blend of creative storytelling, operational discipline, and analytical rigor, using AI tools to build scalable content systems while maintaining authenticity.

Product Marketing Manager for AWS Supply Chain products, focusing on AI-powered applications that unify data, improve visibility, and enable smarter decisions. The role involves shaping product positioning, defining go-to-market strategy, and driving commercial success by bridging the gap between technical capabilities and business value for supply chain leaders.

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.

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.

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.

The Principal Product Manager Tech will own and improve Programmatic Guaranteed (PG) deal delivery within Amazon Ads. This involves creating roadmaps, designing algorithm inputs/outputs, defining requirements for algorithms that account for various factors like seasonality and revenue, and designing experiments to improve delivery rates. The role collaborates with engineering and applied science teams to optimize pacing algorithms, delivery planner targets, and ad selection logic, leveraging data analysis and controller theory. Experience in programmatic advertising and statistical modeling is preferred.

This role is for a Senior Technical Program Manager in Amazon Legal Operations, focusing on driving technology initiatives and strategy for legal operations infrastructure. The role involves leading end-to-end lifecycle management of cross-functional technology programs, with a primary focus on Outside Counsel Management. It emphasizes the adoption of generative AI, machine learning, and automation to streamline workflows and improve legal service delivery. The TPM will oversee various legal tech platforms and drive integrations across Amazon's ecosystems, identifying opportunities to leverage AI and NLP. While the role champions AI adoption and works with AI-powered tools, it is not a hands-on AI/ML development or research role, but rather a product/program management role focused on integrating and scaling AI solutions within a legal operations context.

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 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.

This role is a Project Manager for learning and development initiatives within Amazon's AWS division. The core responsibility is to manage training projects from intake to delivery, with a key focus on strategically integrating AI and emerging technologies to enhance project management efficiency, workflow automation, and operational processes. The role involves coordinating projects, collaborating with cross-functional teams, and identifying process improvements that leverage AI-powered tools for tracking, reporting, and communication. While AI tools are used to optimize processes, the role itself does not involve building or shipping AI models.

Drives the delivery of complex, multi-team programs that bring Alexa's AI capabilities to enterprise customers in hospitality, senior living, and healthcare. Works at the intersection of AI, device software, cloud services, and customer deployments, partnering with various teams to ship products.

Senior Customer Solutions Manager for Amazon Web Services (AWS), focusing on guiding technically advanced initiatives within Amazon's internal business units and AI/ML projects. The role involves partnering with various Amazon teams to leverage AWS services, drive innovation, and ensure successful cloud adoption and migrations. Responsibilities include translating strategic initiatives into executable actions, influencing service adoption, and managing customer relationships to achieve business outcomes.

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.

Creative Lead for social content at Shopbop, focusing on defining brand voice, storytelling, and content creation across social channels. The role involves directing shoots, hands-on content design, and experimenting with generative AI tools to enhance creative output and workflows.

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 is a Sr. Sales Specialist for Generative AI/ML at AWS, focusing on ISV customers. The primary responsibility is to drive adoption and revenue growth for AWS's GenAI/ML services by identifying customer opportunities, understanding their needs, and aligning them with AWS solutions. The role involves full-cycle sales engagement, building trust with various personas, and articulating the value proposition of AWS GenAI services. It requires developing sales strategies, ideating with leaders, creating compelling value propositions, and driving market expansion. While the role is deeply involved with AI products, it is a sales function, not a direct AI/ML building role.

Senior Sales Specialist for Generative AI/ML at AWS, focusing on driving adoption and revenue growth for ISV customers by aligning AWS Gen AI solutions with their business needs. This role involves full-cycle sales engagement, consultative expertise, and building trusted advisor relationships with Line of Business, Data Science, and IT personas.

Merchandise Planner role at Zappos focused on driving business success through data-driven insights, assortment optimization, and category/brand planning. The role involves maximizing sales, profitability, and inventory efficiency by developing assortment plans, forecasts, and strategies. Collaboration with Buying, Marketing, and Finance is key. The candidate should have a deep understanding of e-commerce, trend analysis, and the ability to translate creative ideas into actionable insights. Responsibilities include financial planning, inventory management, forecasting, and optimizing sales/inventory productivity. The role also involves brainstorming improvements to planning systems and participating in A/B testing of new tools, including generative AI tools.

Economist role focused on applying econometrics and ML to optimize advertising strategies, influence business decisions, and analyze experiments within Amazon's advertising business. Requires a PhD in economics and experience with large datasets and statistical software.

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 Senior Customer Solutions Manager at Amazon Web Services (AWS) who will guide technically advanced initiatives across Amazon, partnering with business units and global AI/ML initiatives. The role involves applying technical expertise and program leadership to work with engineers and business leaders on large-scale challenges, ensuring effective collaboration and customer outcomes. The individual will innovate on projects like generative AI enablement, lead cloud migrations, and partner with internal teams. They will interface with leadership, drive collaboration between various teams, and translate strategic initiatives into executable actions. The role requires a strong technical background, curiosity about cloud and AI, problem-solving abilities, and excellent communication skills.

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.

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 manages a team of Delivery Consultants focused on helping enterprise customers implement emerging technologies, including Generative AI, on AWS. The DPM acts as a strategic advisor, responsible for building and managing teams, driving business development, and ensuring successful customer engagement delivery. The focus is on translating technical capabilities into business value and managing practice P&L.

This role is for a Senior Research Scientist focused on materials chemistry innovation within Amazon's WW Sustainability team. The primary focus is on hands-on experimental research in materials synthesis, characterization, and performance testing to accelerate the discovery of sustainable materials. While the role involves developing scientific models and supporting the data foundation for AI models, its core is experimental materials science, not AI/ML model development or deployment.

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 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.

This role focuses on developing and executing go-to-market strategies for AWS partners in the Agentic AI and AI Security space. It involves collaborating with partners to implement agent-based solutions, driving adoption, and providing thought leadership on business model transformation. The role also includes building enablement programs and analyzing market trends to inform AWS's AI strategy.

Senior Sales Specialist for GenAI/ML on AWS, focusing on driving customer adoption and revenue growth for AWS Generative AI services within a specific territory. This role involves identifying customer opportunities, understanding their needs, positioning AWS solutions, and acting as a trusted advisor to embed and deploy GenAI services. Responsibilities include developing GTM strategies, engaging with C-suite leaders, creating value propositions, and gathering customer insights to inform product roadmaps.

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.

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 is for a Senior National Account Manager at Amazon's Ring and Blink division, focusing on driving retail growth through strategic account management and leveraging AI/ML tools for sales analysis, trend prediction, and inventory optimization. The role involves cross-functional collaboration with retailers and internal teams, developing promotional and marketing strategies, and driving the adoption of AI-enabled analytics for product placement and pricing.

This role is for a Senior Enterprise Account Manager focused on AI Models and Foundation Model Providers on AWS. The primary responsibilities include managing strategic relationships, driving revenue and adoption, and acting as a trusted advisor to AI companies. The role requires a blend of sales and technical expertise to engage with C-level executives and AI developers.