Amazon

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.

This role is for a Sr. Software Engineer on the EFA Network ML Software Team at Amazon. The team owns the user-space software for the Elastic Fabric Adapter (EFA) network card, enabling customers to network thousands of GPU and CPU instances for ML and HPC workloads. The engineer will write high-performance C code for open-source projects, invent new networking APIs, and provide expert support to AI customers. The role involves leading design and architecture, focusing on performance, low latency, and high bandwidth in clustered environments.

This role focuses on managing risks associated with AI and machine learning models and processes, ensuring compliance with regulatory requirements and internal standards. It involves working with stakeholders to identify risks, manage use cases, maintain inventories, and provide training on AI/ML risk management.

This role is a Technical Go-To-Market (GTM) Specialist for AWS's automotive compute portfolio, focusing on Autonomous Vehicles (AV), Advanced Driver Assistance Systems (ADAS), Software-Defined Vehicles (SDV), and Electrical/Electronic (E/E) architecture workloads. The specialist will own the end-to-end GTM strategy, drive revenue pipeline acceleration, build mechanisms for business outcomes, and work directly with customers and partners. A key responsibility is articulating the value of Generative AI in accelerating automotive software development.

Account Manager for AWS Startups, focusing on driving adoption and revenue for AWS cloud services among early-stage, high-potential startups. The role involves advising founders on technical innovations like generative AI and machine learning, and working with various internal and external stakeholders to ensure customer success and business growth.

Senior Financial Analyst role focused on competitive intelligence and sales analytics for AWS. The role involves building financial models, analyzing public company disclosures, and supporting sales pipeline analysis. A key aspect is leveraging Generative AI as a daily production tool to build and maintain scalable mechanisms for executive-quality outputs, including co-producing a GenAI-powered intelligence newsletter.

This role is for a Sr. Risk Manager in Amazon's lending portfolio, focusing on adverse risk actions and building a credit program. It involves strategic planning, cross-functional leadership, data-driven innovation, and leveraging AI/ML tools, specifically an AI Agent, to automate tasks and improve decision-making. The role requires partnering with Science teams to design features and build automated credit decisioning systems, acting as a power user for AI-enabled tools.

This role is for a Sr. Analytics/AI Specialist Solutions Architect at Amazon Web Services (AWS). The primary focus is on helping customers leverage AWS services, particularly in analytics and Generative AI, to solve complex business problems. The role involves deep technical expertise, customer collaboration, architectural reviews, and thought leadership. While AI is mentioned as a differentiator and a tool used by Amazon for over 20 years, the core function of this role is to enable customer adoption and growth of AWS services, acting as a trusted advisor and subject matter expert in analytics and cloud computing.

Product Marketing Manager for an enterprise AI platform combining generative AI search, research, agents, and business intelligence. The role involves shaping go-to-market strategy, influencing product strategy, understanding customer needs, and developing messaging for AI chat, research agents, workflow automation, and analytics capabilities.

This role is for a Sr. TPM at Amazon, AWS Builder Acceleration (AWSBA) team, focused on simplifying and accelerating the software development experience for AWS engineers using GenAI and advanced AWS technologies. The goal is to reduce toil, increase building efficiency, and eliminate friction in the software development and operational lifecycle through AI-based automated solutions.

Senior Technical Product Manager for Amazon's Selling Partner Services, focusing on the front-end seller experience. The role involves defining product strategy, roadmap planning, and requirements definition for a platform used by millions of sellers. While the role leverages and identifies opportunities for AI tools, its core function is product management for a customer-facing platform, not direct AI/ML model development or research.

Senior Applied Scientist to work on AI and program analysis for a deep learning compiler stack, optimizing models for ML accelerators (Inferentia, Trainium). Role involves designing, developing, and deploying analyzers for ML compiler stages, architecting business-critical tooling, publishing research, and mentoring. Focus is on compiler technology and deep-learning systems software, with a preference for ML/AI accelerator background.

Product Manager role focused on creator partnerships and monetization on Amazon, with an emphasis on leveraging generative AI tools for workflow efficiency and product enhancement.

Software Development Engineer II role focused on building and improving personalization and recommendation features for Amazon's consumer platform, leveraging machine learning and big data technologies.

This role focuses on using advanced data analysis, including Machine Learning and AI tools, to identify and prevent fraud and abuse across Amazon's e-commerce platforms. The specialist will manage critical projects, scale findings through technology and analytics, and develop systematic solutions to endemic problems. A key responsibility includes utilizing agentic AI systems to automate workflows and accelerate investigations.

Senior Software Development Engineer role focused on designing and developing highly scalable distributed systems for Amazon's Sponsored Products and Brands advertising platform. The role involves integrating Generative AI solutions, collaborating with data scientists on machine learning experiments, and implementing end-to-end solutions to improve predictive models and infrastructure within the e-commerce advertising domain.

Software Development Engineer on the Amazon OpenSearch Service team, focusing on building and scaling distributed systems for search and observability. The role involves designing, developing, and deploying reliable services, working with languages like Rust, Java, and Python, and tackling challenges in cluster management, data ingestion, and query optimization. The team is described as AI-led and working on greenfield opportunities.

Software Development Engineer responsible for developing and maintaining high-performance runtime libraries and drivers for AWS ML accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Runtime, optimizing AI workloads, improving ML kernels and frameworks, and supporting multiple ML frameworks. Requires experience in distributed systems, AWS services, and end-to-end service ownership.

This role leads annual planning mechanisms for the AWS Specialists and Partners (ASP) organization, leveraging AI/ML to enhance planning processes and decision-making. The Annual Planning Lead develops and implements planning processes, systems, and metrics that increase revenue growth and organizational effectiveness, analyzing data to identify improvement opportunities and providing recommendations. The role orchestrates AI-human collaboration, manages AI planning intelligence tools, and implements automated workflows.

The Principal Technical Program Manager will lead the development and strategy for Sponsored Products and Brands at Amazon Ads, leveraging generative AI to revolutionize advertising experiences. This role involves managing large-scale global products, defining roadmaps, and driving cross-functional initiatives to enhance ad creation, optimization, and performance analysis. The focus is on building next-generation brand advertising products and platforms, impacting millions of creators and viewers daily, and delivering significant revenue and growth for Amazon.

Product Manager role focused on improving the delivery experience for Canadian customers, involving strategic initiative development, data analysis, cross-functional collaboration, and optimizing customer experience across platforms. The role requires experience in product management, roadmap strategy, and end-to-end product delivery. While not core to the role, experience with generative AI tools for workflow efficiency and product enhancement is preferred.

This role focuses on preparing training data for ML algorithms using cloud infrastructure, performing architecture feasibility analysis, and evaluating video picture quality using industry tools and standards. The primary deliverable is the prepared training data for ML models.

This role is for a Business Analyst in Amazon's Relay Fleet Tech organization, focusing on building automation solutions and driving business decision-making for fraud prevention using machine learning algorithms. The role involves working with large datasets, developing BI solutions, and maintaining front-end code using Python and SQL.

This role focuses on building and operating AWS cloud offerings that enable high performance and scalability in AI/ML and HPC workloads, specifically designing and delivering server hardware for AI training and inference. The candidate will work across the full technical stack from baremetal hardware to userland software, solving complex architectural problems related to server systems, their testability, reliability, and diagnosis, with the goal of delivering continuous price-performance improvements for large language models at cloud scale.

Software Development Engineer II on the DynamoDB Capacity and Customer Entitlement team, responsible for designing and building production systems that optimize capacity planning and fleet scaling for DynamoDB's infrastructure. This role involves developing automated scaling algorithms, capacity management tools, and operational workflows, including building ML-integrated prediction systems for demand forecasting and capacity allocation.

This role focuses on driving profitability improvements in Amazon Grocery through strategic vendor programs and business process convergence, utilizing AI-powered automation. The Sr Vendor Manager will lead projects, analyze vendor financials, partner with tech teams for solutions, and improve business integrations and reporting. The role emphasizes program management, P&L management, and data analysis to transform manual processes into automated workflows.

This role focuses on developing and executing AWS's partner strategy for Agentic AI, aiming to accelerate the adoption of AI agents and autonomous AI systems among businesses. The specialist will collaborate with partners to envision and implement agent-based solutions, provide thought leadership, build enablement programs, and analyze market trends to influence AWS's Agentic AI strategy and product development.

Software Development Engineer role at Amazon Web Services (AWS) focusing on building and maintaining code, implementing software solutions, and collaborating with cross-functional teams. The role also mentions potential specialization in Artificial Intelligence/Machine Learning and Healthcare AI, with preferred qualifications in ML frameworks and fundamentals.

This role builds the foundational data platform for robotics and ML development, focusing on data pipelines, storage, and transformation to support ML training and fleet monitoring.

Seeking a Principal Product Manager - Technical to define and deliver the vision, strategy, and technical roadmap for Amazon Learning Companion (ALC), an AI-powered Learning Intelligence Platform. This role focuses on consolidating learning data and systems to enable personalized, data-driven learning experiences at scale, introducing self-service analytics, natural-language data access, and predictive insights. The PM will collaborate with Data Engineering, Applied Science, and Software Development teams to define platform architecture, data models, and technical mechanisms, influencing senior stakeholders and driving alignment across organizations.

This role is for a Principal Technical Program Manager at Amazon, focusing on brand measurement solutions within Ad Tech and Data Science. The role involves leading the development and delivery of innovative solutions that help advertisers measure, analyze, and optimize their brand-building campaigns. It requires managing large-scale technical programs at the intersection of advertising technology, machine learning, and distributed systems, and delivering AI-driven insights to empower advertisers. The position emphasizes program management, technical strategy, cross-functional leadership, and operational excellence in a mature, large-scale environment.

Software Development Engineer II role within AWS Applied AI Solutions, focusing on building new and contributing to existing healthcare AI services like HealthLake, Comprehend Medical, and HealthScribe. The role involves designing, developing, and testing scalable software systems for cloud-based healthcare applications, collaborating with cross-functional teams, and ensuring operational excellence and compliance.

Lead Engineer for Amazon's Trainium Manufacturing Quality & Reliability organization, focusing on bridging manufacturing outcomes with datacenter operational performance. This role involves establishing and operating a preparedness lab to analyze datacenter performance of manufactured systems, identify root causes of field issues, and feed insights back into manufacturing processes, test strategies, and design improvements. The position also influences hardware design for DFM, DFR, and DFT, establishes data-driven analytics frameworks connecting manufacturing test data to datacenter performance (leveraging ML), and develops manufacturing processes at ODMs/CMs. The role requires experience with AI/ML acceleration systems and managing cross-functional teams.

This role is for a Sr. Event Marketing Manager focused on building and executing marketing strategies for selling partner events. While the company aims to incorporate AI-powered personalized experiences and the candidate is expected to leverage generative AI tools, the core function of the role is event marketing, not AI/ML development.

Principal UX Designer for Prime Video, focusing on core design systems and customer experiences across living room and mobile platforms. The role involves leading design direction, contributing to foundational experiences, and shaping AI-enabled design practices. It's a hands-on IC role requiring strategic thinking, prototyping, and collaboration with Product and Engineering.

This role is for a Senior Product Manager, Technical, focused on creating and building critical services that automatically generate, target, and optimize Amazon's cross-category marketing and merchandising using GenAI technologies. The role involves leading projects with distributed systems, generative AI integration, real-time personalization, and multi-channel orchestration, impacting how customers discover products at scale.

Senior Software Engineer focused on DevOps for AWS's custom ML chips (Trainium/Inferentia), enabling rapid software development for AI training and inference. The role owns CI/CD pipelines, release processes, and hardware-in-the-loop testing infrastructure to ensure timely and quality software delivery for silicon development.

This role is for a Sr. Product Manager on the Middle Mile Supply and Routing Optimization team at Amazon. The team builds complex software solutions to optimize the time and cost of package delivery, leveraging big data, machine learning, and optimization techniques. The Sr. Product Manager will drive the delivery of technology features for real-time routing, own efficiency metrics, and work cross-functionally to define strategic roadmaps. The role requires a strong understanding of Amazon's transportation operations, data analysis skills, and the ability to communicate insights to various stakeholders.

Senior Treasury Analyst role focused on treasury operations and banking relationships to support global expansion and implementation projects. The role involves managing cash operations, developing banking relationships, leading implementation projects, and leveraging Generative AI tools for automation and scalability.

Senior UX Designer for Amazon Merch on Demand, focusing on creating a store experience for sports teams and organizations. The role involves designing end-to-end customer journeys, including AI-generated designs, and partnering with cross-functional teams. The position emphasizes leveraging AI and automation to simplify complex processes and scale the experience.

This role is for a Senior Specialist Sales Representative focused on Independent Software Vendors (ISVs) within the Generative AI and Machine Learning domain on AWS. The primary responsibility is to drive adoption and revenue growth of AWS's Generative AI services by identifying customer opportunities, understanding their needs, and positioning AWS solutions. The role requires business acumen, technical understanding of AI/ML, and strong sales and consultative skills to act as a trusted advisor, helping customers embed and deploy AWS Generative AI solutions to solve business problems and unlock new value. The individual will own the full sales cycle, build strategic account plans, and collaborate with various stakeholders including Line of Business, Data Science, IT, and partners.

Research Scientist II role focused on psychometric aspects of exam development and operations, with a requirement to use ML, NLP, and GenAI for research and automation. The role involves developing and applying statistical and psychometric modeling to ensure exam validity and reliability, and automating psychometric workflows using R or Python. Experience with large-scale assessment programs and complex test designs is required.

Design and implement scalable and reliable approaches to support or automate decision making throughout the business. Apply a range of data science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear. Acquire data by building the necessary SQL / ETL queries. Import processes through various company specific interfaces for accessing Oracle, RedShift, and Spark storage systems. Build relationships with stakeholders and counterparts. Analyze data for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies. Build models using statistical modeling, mathematical modeling, econometric modeling, network modeling, social network modeling, natural language processing, machine learning algorithms, genetic algorithms, and neural networks. Validate models against alternative approaches, expected and observed outcome, and other business defined key performance indicators. Implement models that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.

This role is for a Sr. Specialist Sales Representative focused on Generative AI/ML within the Financial Services Industry. The primary responsibility is to drive adoption and revenue growth for AWS's Generative AI services by identifying customer opportunities, understanding their needs, and positioning AWS solutions. The role involves consultative selling, building trust with customers, and collaborating with internal teams and partners to deliver value and achieve sales goals.

Senior Technical Program Manager to define, own, and drive technical programs for GenAI/Agentic AI solutions within AWS Applied AI Solutions, focusing on supply chain operations. The role involves partnering with product management and technical leadership to identify opportunities, influence strategy, and align roadmaps across engineering and science teams.

Software Development Engineer role focused on building edge compute solutions for industrial automation within Amazon's fulfillment network. The role involves working across the full software development cycle, from low-level machine controls to cloud-based solutions, and developing infrastructure for warehouse automation systems. While the team works alongside AI/ML teams and the role touches on AI/ML solutions, the core responsibility is in engineering the automation and edge compute infrastructure.

This role is a Business Development Specialist for Amazon Bedrock's Generative AI Go-To-Market (GTM) team. The primary focus is on leading the GTM strategy for Models on Bedrock, expanding model choice and access for customers, and driving adoption. The role involves market sizing, pipeline building, understanding customer use cases, developing joint GTM strategies with foundation model partners, creating training content, driving thought leadership, and providing customer feedback to inform product roadmaps. The ideal candidate has a business and technology background, domain expertise in generative AI, and an understanding of GenAI market trends and LLM providers. The role requires strong communication and partnership skills with internal AWS teams, customers, and model providers.

This role focuses on developing and building new ML and statistical forecasting models for Amazon Stores' financials, aiming to improve financial decision-making and planning for senior leadership. It involves working with stakeholders, collaborating with various teams for production implementation, and adapting new modeling techniques.