Amazon

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.

This role focuses on partnering with customers to enhance their business or operational outcomes through the use of advanced and emerging technologies like generative AI and machine learning. The strategist will work with various AWS teams and customers to develop roadmaps, identify opportunities, and drive the adoption of AI solutions, focusing on business value and scalable implementation.

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.

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 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.

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 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 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 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.

This role focuses on supporting customers in enhancing their business or operational outcomes through the use of advanced and emerging technologies like generative AI and machine learning. The AI Strategist will partner with customers and internal AWS teams to craft industry-specific programs, drive sales opportunities, and ensure customer success in deploying proof-of-concept projects and production solutions. The role involves educating customers on AWS value propositions, conducting workshops, and operationalizing best practices for holistic generative AI/ML adoption within enterprises.

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.

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.

Senior AI Sales Specialist role at Amazon Web Services (AWS) focused on driving revenue growth by partnering with customers to understand their goals, translate complex AI capabilities into business value, and support AI adoption at scale. The role involves building sales pipelines, advising on AWS AI services, leading technical discovery sessions, and guiding customers through AI adoption journeys.

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.

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.

This is an internship role focused on technical business development for AWS cloud computing, involving customer engagement, identifying growth opportunities, and supporting sales teams. While it mentions AI/ML and Generative AI, the core function is business development and sales support, not direct AI/ML model development or research.

This role focuses on driving customer success and adoption of Amazon Q, a generative AI service. The strategist will architect and implement solutions, lead transformation programs, and work with customers and internal teams to realize business value. While it involves generative AI services, the core craft is customer-facing product strategy and implementation, not direct AI/ML model building.

This role focuses on driving customer success and adoption of Amazon Q and other Generative AI services within enterprise clients. The strategist will architect and implement solutions, lead transformation programs, and work with customers from proof-of-concept to production. It involves a hybrid of AWS expertise, technical skills, and business acumen to identify use cases, quantify value, and ensure successful delivery.

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.

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.

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.

This role is for a Principal Technical Program Manager focused on multilingual search quality at Amazon. The candidate will lead a team in quarterly planning, improve experimentation velocity, and manage stakeholders across search organizations. Responsibilities include developing and owning mechanisms for collaboration, influencing strategy for search relevance initiatives, and managing projects related to improving search result precision and secondary language search. The team builds language models to estimate product relevance within strict latency budgets.

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.