Software Development Engineer role focused on building systems for vendor funding within Amazon Retail, aiming to reduce costs and drive profitability. The role involves applying cutting-edge technology and potentially machine learning to complex business problems, with significant visibility and impact on Amazon's growth.

Technical Account Manager (TAM) for AWS Enterprise Support customers, focusing on their success in building and operating on the AWS cloud. The role involves understanding customer outcomes, providing expert advice on AWS services, and acting as a liaison between customers and AWS engineers.

This role focuses on managing risk and compliance within Amazon's global transportation business. The Senior Risk Manager will develop and implement risk mitigation strategies, assess existing controls, and partner with cross-functional teams to ensure compliance with legal and contractual obligations. A key responsibility includes developing strategies for integrating AI and machine learning to enhance risk detection and mitigation capabilities, though the core function is risk management, not AI development.

Software Development Engineer II role in Amazon FinTech Treasury, focused on building a next-generation, horizontally scalable platform for managing financial transactions and identifying anomalies using machine learning. The role involves architecture, design, implementation, and deployment of large-scale big data applications, with an emphasis on building from scratch.

Marketing Manager for Zappos focusing on brand partnerships, co-op marketing strategies, and campaign execution to drive revenue and enhance brand equity. Requires experience in marketing strategy, data analysis, and cross-functional program management. Familiarity with generative AI tools is a plus.

Marketing Manager for Zappos, focusing on co-op marketing strategies with brand partners to drive revenue and enhance brand equity. Requires experience in marketing execution, data analysis, and relationship management.

This role leads a team of Business Intelligence Engineers to define, track, and maintain key business metrics, develop scalable BI solutions, and oversee automated dashboards and reporting for operational performance and strategic decisions. It involves collaboration with Data Engineering, Hardware, and Software Development teams to optimize data solutions.

This role focuses on developing the low-level software stack (drivers, runtime libraries, communication software) for custom ML accelerators (SoCs). The engineer will work on SoC models, debug hardware/software interactions, and build tooling to support chip development and validation. While the chips are for ML, the role itself is systems software engineering, not ML model development.

This role focuses on building and owning C++ models of custom System-on-Chips (SoCs) for AWS's machine learning accelerators (Trainium and Inferentia). The models are used by RTL designers, verification engineers, and software teams throughout the silicon development lifecycle, impacting chip design, verification, and production. The role involves translating architecture specs into C++ models, validating against RTL, developing test infrastructure, and contributing to performance modeling. While the chips are for ML accelerators, the core craft of this role is hardware modeling and verification, not direct AI/ML model development or research.

Software Engineer to build and own virtual platforms (full-system C++ and SystemC models) for custom ML accelerator chips (Trainium and Inferentia), enabling software development before silicon availability. Role involves modeling subsystems, improving infrastructure, and supporting software teams.

Software Development Engineer (SDE-I) role focused on optimizing delivery options for millions of Japanese customers on Amazon.co.jp. The role involves designing, developing, and maintaining distributed systems that handle high-throughput, low-latency decision-making in a complex logistics domain, with a focus on consolidation and shipment optimization to reduce costs while maintaining customer experience.

Senior Solutions Architect for AWS ISV Canada, focusing on driving cloud adoption by architecting and advising customers on complex technical and business challenges. This role involves strategic customer engagement, technical leadership, and creating reusable assets.

This role focuses on Business Intelligence and Data Analytics within AWS Private Pricing. The engineer will be responsible for performance reporting, providing actionable insights, building analytical and forecasting models, creating dashboards, and driving automation to support business goals. The role involves collaborating with sales, finance, and other teams to identify reporting gaps and implement solutions, as well as executing complex ad-hoc analyses and architecting new processes. While the role mentions experience with data science and machine learning, its primary focus is on BI and analytics to support business operations, not on building or shipping AI/ML models as the core deliverable.

This role focuses on the physical design and layout of advanced IC packages for machine learning and data center ASICs. The engineer will execute package layout tasks from floor planning to tape out, working with various teams to meet performance and reliability targets. This involves implementing designs for advanced packaging architectures like 2.5D interposer and 3D-IC, performing routing for high-density interconnects, and collaborating on die-level optimization. The role requires experience with package layout tools and understanding of advanced packaging technologies and design rules.

Product Quality Engineering Manager for Amazon Private Brands in Shenzhen, focusing on ensuring products meet global safety standards and customer expectations across hardline categories. Responsibilities include implementing quality systems, managing product testing, driving process improvements, and ensuring regulatory compliance.

This role is for a Programmatic Solutions Consultant at Amazon Ads, focusing on managing the end-to-end experience for enterprise customers using the Amazon Demand Side Platform (DSP). The consultant will develop customer expertise in programmatic advertising, provide onboarding, training, and strategic consulting, analyze data for optimization, and act as a liaison between customers and internal Amazon teams. The role requires strong advertising technology and programmatic advertising domain knowledge.

This role focuses on enterprise analytics solutions, data migration, and building BI solutions using AWS technologies like QuickSight. It involves data extraction, transformation, cleaning, ETL processes, data modeling, and automation using SQL and Python. While it mentions data science and machine learning in passing, the core responsibilities are in Business Intelligence and data engineering, not direct AI/ML model development.

Shape the future of how brands merchandise related products on Amazon and help customers discover billions of related products in our catalog! Join the Relationship Data Services team to build the next generation of product relationships at Amazon scale. The Relationship Data Services team is at the core of Amazon.com. We are the authority for product data across Amazon's shopping experience worldwide. Our systems enable customers to discover, compare, and purchase products while empowering Amazon's selling partners to effectively list their products and relationships in Amazon's catalog. If you have evaluated different size, color or flavor variations on Amazon's product detail pages, you are interacting with data that is ingested, managed and vended by our systems! We are seeking a Senior Technical Program Manager to drive complex, cross-organizational programs that enable new types of product relationships across Amazon's catalog. In this role, you will define the systems and policies for how brands merchandise their products on Amazon while ensuring the best possible shopping experience for customers. You will enable Amazon to deliver innovative ways for customers to find related products, including newer versions, branded collections, and product lines. Working at Amazon catalog scale (billions of products and relationships), you will partner with engineering and product teams to build new catalog APIs, define data models, develop quality metrics, and drive data acquisition and quality improvement initiatives leveraging generative AI. This is a high-ambiguity, high-impact role requiring someone who can navigate complex technical and business trade-offs, influence without authority across multiple organizations, and balance tactical execution with strategic thinking. You will join a team of tenured technical and product leaders working directly in Amazon's core catalog pipeline, balancing how brands want to merchandise on Amazon with what's best for Amazon customers.

Software Development Engineer role focused on building and improving software systems for Amazon's product catalog, utilizing machine learning techniques alongside human-curated rules at scale. The role involves working on item identity services to enhance buyer and seller experiences.

Software Development Engineer III role focused on designing and leading the development of container platform integrations for ML accelerator resource management, including device plugins, DRA drivers, and operator development. The role involves solving scalability challenges, simplifying systems by deprecating legacy software, driving operational excellence, and elevating team quality through code reviews and contributions. The team enables customers to run training and inference workloads on Neuron at scale, owning integrations with Kubernetes, ECS, and Slurm.

Software Development Engineer role in Amazon's Selling Partner Services team, focusing on building a technology platform for selling partners. The role involves optimizing data synthesis and business rules for financial information, using Java, DynamoDB, Postgres, and ElasticSearch. While the core function is not AI development, there's a preference for candidates who can leverage generative AI tools for workflow enhancement and identify opportunities to integrate AI solutions.

Lead a team of Software Development Engineers to build and run the control plane and data streaming systems that drive EC2 instance placement decisions. Create the vision and drive the roadmap for your team, thinking big about how data can be leveraged to improve how EC2 offers compute power to customers. Attract and grow hire-performing engineers for your team. Mentor and coach your team members and foster an inclusive engineering culture. Maintain a high-level of operational excellence. Lead and refine the team’s agile software development process. The successful Software Development Manager has solid technical leadership experience and a proven track-record in managing teams to deliver results. You have a strong software engineering background, with an interest towards optimization, machine learning and data streaming technologies. You demonstrate bias for action to get the right things done and engage thoughtfully with customers and stakeholders to understand their needs. You show excellent judgement in establishing priorities, and can successfully manage implementation in an agile environment.

This role focuses on developing the low-level software stack (drivers, runtime libraries, communication software) for custom ML accelerators (SoCs) designed by Amazon's Annapurna Labs. It involves working at the hardware-software boundary, pre-silicon and post-silicon, on SoC models, validation, and performance optimization. While the chips are for ML training and inference, the role itself is systems software engineering, not directly building ML models or agents.

Senior Pre-Silicon SoC Modeling Engineer for AWS Machine Learning Accelerators. The role involves building and owning C++ models of custom SoCs (Trainium and Inferentia) used by RTL designers, verification engineers, and software teams. Responsibilities include translating architecture specs into models, validating against RTL, developing model-based test infrastructure, and contributing to performance modeling. The role emphasizes ownership and impact on silicon development, with a clear path into architectural modeling. No ML background is required as the domain knowledge will be learned on the job.

This role is for an Application Engineer within Amazon's Retail Business Services (RBS) team. The team develops automation leveraging Machine/Deep Learning to scale complex tasks. The Application Engineer will work with business teams to solve support needs, translate requirements into deliverables, build scalable systems, maintain services, and contribute to operational efficiency. Responsibilities include on-call support, troubleshooting, and client onboarding.

This role is for a Senior Account Executive focused on driving revenue and customer engagements for Amazon Web Services (AWS) within the Federal Financial sector. The position requires a blend of business and technical acumen to build relationships with CXO level customers, understand their mission and technical challenges, and help them leverage AWS services for business transformation. The role involves full sales cycle activities, including demand generation, pipeline management, contract negotiations, and working with internal AWS resources and partners.

Software Development Engineers to innovate and automate Amazon JP Operations and beyond, focusing on supply chain and fulfillment optimization. Responsibilities include designing, developing, testing, deploying, and maintaining distributed software solutions across various technical stacks and domains, including web applications, backend services, cloud architecture, and machine learning.

This role leads strategic relationships with global advertising holding companies, managing a team to drive revenue growth, establish transformation roadmaps, and partner cross-functionally with AdTech, Product, and Partner Education teams. The role involves C-suite partnerships, global frameworks, rate card negotiations, and ensuring global-local alignment. While generative AI is mentioned as a tool used by Amazon Ads, the core responsibilities of this role are in sales, partnership management, and team leadership within the advertising domain, not in building or directly managing AI/ML models or systems.

Senior Applied Scientist role in AWS Security focused on developing advanced and rigorous solutions for security, privacy, and sovereignty. Requires deep knowledge in areas like SAT, SMT, mechanical theorem proving, symbolic simulation, programming language type systems, or program analysis.

Seeking a Sr. Package Layout Engineer to lead the end-to-end physical design of advanced IC packages for next-generation machine learning and data center ASICs. This role involves owning the package layout from floor planning through tape out and manufacturing release, driving the physical implementation of complex multi-die and advanced packaging architectures.

System Development Manager for AWS Incident Response (AIR) team in Seattle. Leads engineers in operational excellence and tooling delivery for incident response, detection, and observability. Owns incident response leadership, detection & observability improvement, cross-site coordination, post-incident analysis, and team development. Focuses on systems engineering and operational leadership to improve AWS resiliency.

Software Development Engineer II focused on building and improving large-scale distributed systems for Amazon's global fulfillment network, utilizing workflows, optimization algorithms, and machine learning systems to solve complex transportation problems.

Senior Technical Program Manager for Amazon's Silicon and Systems Group, focusing on pre-silicon readiness, silicon bring-up, and validation of next-generation SOC solutions. The role involves coordinating cross-functional engineering teams and ensuring successful first silicon boot and production readiness.

Software Development Engineer II on the Amazon Product Detail Page team, focusing on building a highly scalable, multi-tiered shopping application to enhance the online shopping experience for millions of customers worldwide. The role involves developing next-generation technologies and requires a strong commitment to engineering excellence, including quality, consistency, maintainability, and efficiency.

Business Analyst III role focused on complex analytical workstreams, defining analytical strategy, and influencing product/operational decisions. Responsibilities include data extraction, analysis, model development, dashboard creation, root-cause analysis, KPI management, and providing actionable recommendations. Requires leadership in analytical projects, cross-functional collaboration, and stakeholder communication, with a focus on transaction integrity, compliance, and operational efficiency within the Identity Verification and Account Support domains.

Software Development Manager for Amazon's FinTech organization, focusing on building and leading a team to develop large-scale, globally scalable financial systems. The role involves driving innovation, owning the team's roadmap and customer experience, ensuring engineering excellence, and making key architectural decisions for highly-available and resilient systems. The team's charter includes expanding compliance monitoring using advanced techniques and integrating AI/ML capabilities.

Software Development Engineer III role focused on optimizing Amazon's global shipping network using workflows, optimization algorithms, and machine learning systems. This role involves working on large-scale distributed systems that handle millions of packages, improving existing services, and building new ones to enhance customer experience and optimize network operations.

Senior Technical Program Manager to drive complex, cross-organizational programs for Amazon's Catalog team, focusing on product relationships and merchandising. The role involves defining systems and policies, partnering with engineering and product teams, and leveraging generative AI to improve data acquisition and quality for billions of products.

Software Development Engineer in Test (SDET) role focused on automating test infrastructure for next-generation consumer electronics platforms, specifically involving audio technologies. The role requires building test frameworks, tools, and automation for audio testing, with some exposure to ML model testing and AI agents as a preferred qualification.

Senior Kernel Engineer to build kernel stack and BSP for SoCs with custom hardware accelerators for consumer electronics, focusing on ML, computer vision, and robotics applications. Responsibilities include developing BSP components, collaborating on silicon features, silicon bring-up, debugging, and optimizing OS/kernel solutions.

Lead the team delivering virtual platforms for custom silicon (Trainium/Inferentia chips) used by software teams for pre-silicon development and validation. Own the roadmap, drive usability, performance, and scalability, and build CI/CD infrastructure. This is a builder-leader role focused on system modeling and leading engineers, with no ML background required.

Software Development Engineer role on the AWS Elastic MapReduce (EMR) team, focusing on building and improving large-scale data processing systems and features for customers running open-source data frameworks like Hadoop and Spark. The role involves designing, developing, and operating next-generation cluster management systems and real-time data processing capabilities.

This role is for a Software Development Manager in Amazon's Transportation Financial Systems team. The primary focus is on managing a team of engineers to build and maintain scalable, innovative solutions for carrier invoice automation, ensuring compliance with regional and global financial regulations (Tax, e-invoicing, SOX, GRC, ACT). The role involves technical roadmap creation, stakeholder management, and driving innovation for systems handling billions of transactions. While the company leverages ML and GenAI, this specific role is centered on engineering management and building compliant financial systems, not direct AI/ML model development.

Senior Software Development Engineer III (SDE3) to join the ShopBop Technology team, leading software development and technical initiatives across a wide array of systems. Responsibilities include leading development of Java-based applications on AWS, collaborating with product managers and designers, mentoring junior developers, championing best practices, and fostering team growth. The role requires experience in software development, programming, system design/architecture, and technical leadership. Preferred qualifications include full SDLC experience and familiarity with generative AI tools for workflow enhancement.

Senior Sales Trainer & Coach for AWS, responsible for delivering executive foundation training, deal coaching, and Generative AI enablement. Develops and executes global sales training curriculum strategy, requiring program development expertise, cross-functional collaboration, and project management.

This role is for a Technical Program Manager III in Amazon's Fashion Subsidiary Tech (FaST) team, focusing on the customer front-end experience for Zappos.com. The TPM will drive solutions for ambiguous problems, create vision, and lead through influence, partnering with senior leadership and engineering teams. Responsibilities include building project plans, coordinating efforts, refining requirements, and acting as a catalyst for delivery. While the role mentions leveraging AI/ML tooling and understanding generative AI for workflow efficiency and product enhancement, the core function is program management for e-commerce customer experience, not direct AI/ML development or research.

Quantitative Researcher focused on understanding seller behavior data to inform product decisions for Amazon's Selling Partner Experience. This role involves end-to-end ownership of quantitative research projects, including survey design, statistical analysis, and synthesizing findings into actionable recommendations.