Amazon

This role is a Senior Go to Market (GTM) Specialist for Amazon Annapurna Labs ML team, focusing on driving growth for AWS AI Chips (Trainium and Inferentia) by identifying and onboarding influential partners, ISVs, and customers. The role requires understanding business needs, measuring adoption, and guiding investment decisions, working closely with internal AWS teams and external partners. It emphasizes technical depth in AI/ML, understanding of GenAI market trends, and experience working with academia and open-source communities.

Principal Product Manager for Amazon Ads' Conversational Ad Experiences team, focusing on leveraging generative AI to revolutionize advertising and customer discovery through multi-turn conversational interfaces. The role involves defining product strategy, driving innovation, and launching new ad experiences.

This role is for a Sr. Program Manager on Amazon's Books Risk and Policy team, focusing on leading launch readiness for policy and LLM/AI model initiatives. The role involves transforming complex initiatives into actionable documentation, architecting scalable processes, and partnering with various teams including Product Managers, Policy SMEs, Science, ML engineers, and automation teams. The candidate will use generative AI tools to accelerate project management tasks, contribute to LLM governance and human-in-the-loop (HiTL) process design, and identify opportunities to integrate AI tools into workflows. The role also involves process and risk management, data-driven decision making, and stakeholder management to ensure content integrity and mitigate risk within the Amazon Books store.

Senior Solutions Architect specializing in High Performance Computing (HPC) and Machine Learning (ML) on AWS. The role involves designing cloud-based solutions for customers with complex HPC/ML workloads, including CAE, Weather, and GPU computing. Responsibilities include collaborating with sales teams, providing thought leadership, and assisting customers in architecting and migrating their applications to AWS.

This role involves building technology to automatically monitor and classify billions of products on the Amazon platform using machine learning algorithms on large datasets. The goal is to ensure compliance with legal regulations and build customer trust in the catalog. The role requires developing Amazon-scale applications on Amazon Cloud that process large data volumes to derive patterns and conclusions.

The role is for a Sr. Power Engineer at Amazon's Annapurna Labs, focusing on power delivery for machine learning hardware. Responsibilities include architecting, designing, simulating, and validating power solutions, improving reliability and efficiency, and developing power technology roadmaps. The role requires strong hardware and software integration skills and experience in managing ODMs and leading power design for major technology products.

This role is for a Sr. Brand Marketing Manager at Amazon's eero division. The primary focus is on shaping and executing brand strategy, integrated marketing campaigns, and storytelling across the customer journey. While the role requires knowledge of Generative AI in marketing and creative workflows, it does not involve building AI models or systems. The role is product-focused within the consumer domain, aiming to mature the eero brand.

Program Manager II for Ring Insights, focusing on managing Alpha, Beta, and Delta testing for new products. The role involves leveraging AI-powered analytics tools for data processing, user feedback analysis, and generating insights to drive product launches. Key responsibilities include deploying AI-driven test scenarios, monitoring tester engagement using predictive models, and synthesizing AI-generated reports with qualitative insights to make product recommendations. The role also requires managing stakeholders, ensuring compliance, and coordinating with global teams.

This role is for a Senior Developer Advocate focusing on Generative AI within AWS Developer Experience. The primary responsibility is to educate and enable developers on using Generative AI tools and services on AWS, creating technical content, and providing feedback to product roadmaps. While the role involves understanding and discussing generative AI models and techniques, its core function is developer advocacy and product enablement, not direct AI/ML model development or research.

This role is for a Senior Product Manager, Technical on the Alexa Sensitive Content Intelligence team. The role involves leading the development and launch of new features related to responsible AI and sensitive content management for Alexa, working closely with engineering, science, and other stakeholders. Responsibilities include product roadmap ownership, customer problem discovery, defining requirements, and managing technical execution.

Software Development Engineer role within AWS focusing on building and maintaining code for various AWS services, with a specialization in Artificial Intelligence/Machine Learning and Healthcare AI. The role involves designing, developing, and implementing complex software solutions, collaborating with cross-functional teams, and identifying performance bottlenecks. Preferred qualifications include knowledge of ML frameworks like JAX, PyTorch, vLLM, and LLM fundamentals.

Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals.

Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals.

Software Development Engineer role within AWS focusing on AI/ML and Healthcare AI, involving the design, development, and maintenance of code, implementation of complex software solutions, and collaboration with cross-functional teams. Requires experience in building complex software systems and knowledge of ML frameworks and fundamentals.

This internship focuses on data science, machine learning, and data mining, with an emphasis on developing, automating, and running analytical models. The intern will build tools for data analysis, error resolution, and present findings to business partners. Experience with large datasets and statistical grounding is expected.

This role is for an Ecommerce Operations Manager at Amazon Private Brands Global Sourcing. The primary focus is on product lifecycle management and leveraging AI technologies to drive operational strategies and improvements. The role involves partnering with cross-functional teams, problem-solving, stakeholder communication, and adopting GenAI and automation solutions for scalable improvements. While the role mentions leveraging AI technologies, it is not a core AI/ML role focused on building or shipping AI models.

This role is for a Senior Solutions Architect at Amazon Web Services (AWS) focusing on AI Engineering within the financial services sector. The primary responsibility is to partner with large financial institutions to design and implement scalable cloud architectures using AWS services, helping them adopt and leverage AWS for their business needs. The role involves understanding customer business problems, providing technical guidance, and acting as a customer advocate to enhance AWS services. While the role is within AI Engineering and deals with AI solutions, the core function is solutions architecture and cloud adoption, not direct AI/ML model development or research.

This role focuses on building Business Intelligence (BI) solutions for the Amazon Selection and Catalog Systems (ASCS) team. The primary goal is to create self-service analytical products that provide insights into catalog data, leveraging advanced analytics and AI/ML to drive proactive decision-making and improve business performance. The role involves leading the design, development, and maintenance of reports, dashboards, and metrics, working closely with engineering, product, and program managers to deliver end-to-end data solutions.

This role focuses on driving technical program execution for Amazon's device development tools, with a significant emphasis on leveraging AI/ML for automation and enhancing developer productivity. The primary goal is to shape the future of device development by leading cross-functional programs and implementing AI-powered solutions within the development lifecycle, ultimately impacting millions of Amazon devices worldwide.

The Senior Technical Program Manager will drive the scoping and delivery of projects for Security Products, focusing on Access Policy Management systems and applying Machine Learning for abuse detection. The role involves identifying stakeholders, setting roadmaps, managing delivery, and bridging technical gaps across multiple Amazon organizations.

Senior Design Technologist at Prime Video focused on shaping the future of entertainment by building high-quality, functional prototypes for next-generation UX concepts. This role involves hands-on product work, collaborating with design leadership, PMs, and engineers to drive concepts from idea to implementation, and leveraging platform expertise. A key aspect is developing prototypes using AWS Bedrock to envision brand new Gen AI powered experiences for customers, working across TV, mobile, and web clients.

Senior Customer Success Specialist focused on driving enterprise adoption and value realization for AWS generative AI services. This role involves developing and executing customer success strategies, architecting solutions, building enablement programs, and fostering relationships with customers and partners to scale adoption of AWS GenAI services. The emphasis is on organizational AI transformation leadership rather than direct AI/ML model building.

Senior Product Manager - Technical for Alexa Connections, focusing on building messaging experiences where Alexa acts as an agent using Generative AI and large language models to manage customer communication lives. The role involves working at the intersection of LLMs, real-time communications, voice/graphical UIs, and mixed reality to deliver delightful features for end customers.

The role involves foundational labeling functions for generative AI, including dialogue evaluation on speech, text, 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. This role supports the development and deployment of large language models (LLMs) and AI responsibly.

Software Development Engineer Intern role focused on building and operating innovative products and services within Amazon's Robotics division. The role involves designing and developing scalable solutions using cloud-native architectures, contributing to AI-powered tools for development productivity, and working with technologies like robotics, computer vision, and cloud services.

Software Development Engineer Intern/Co-op role focused on robotics at Amazon. The role involves designing, building, and operating innovative products and services, leveraging cloud-native architectures and microservices. A key aspect is the use and contribution to GenAI and AI-powered tools to improve development productivity, alongside developing software components that interact with robotics, computer vision, and other fulfillment center technologies.

Senior Delivery Consultant for AI/ML within AWS Professional Services in ASEAN. Focuses on advising customers on ML solutions on AWS, leading engagements from pre-sales to delivery, and architecting scalable ML solutions. Requires strong business and technology depth in ML, with implementation experience in the cloud.

This role focuses on providing strategic oversight and mentorship for human-in-the-loop and model-in-the-loop data pipelines used for LLM training and evaluations. The consultant will ensure data quality, champion knowledge sharing, and collaborate with AI teams to optimize data collection and model performance.

This role is for a Sr Operations Manager on the Amazon Artificial General Intelligence (AGI) team, focusing on speech and language solutions. The manager will be responsible for developing, managing, and supporting a team, creating operating plans, implementing processes for scaling, hiring and developing talent, fostering a coaching culture, and improving operational metrics. The team provides speech recognition capabilities and data labeling services for ML models.

Full Stack Software Engineer for Amazon Leo's satellite network SaaS platform. The role involves designing and building multi-layered services for real-time data collection, network analysis, and fault identification. Key responsibilities include developing automated runbook triggers, leveraging ML/AI for anomaly detection, root cause analysis, and impact prediction, and building data-driven KPI systems. The engineer will also provide technical leadership and mentorship.

Software Developer role focused on automating international expansion launch strategies for Amazon by building customer-facing features. The role involves leveraging Machine Learning models to solve complex problems within a distributed e-commerce environment, impacting millions of customers globally.

This role focuses on building and operating AWS cloud offerings that enable high performance and scalability for AI/ML and HPC workloads, specifically targeting generative AI training and inference. The Systems Development Engineer will work on server designs, optimizing price-performance, and ensuring reliability and scalability of the underlying hardware infrastructure.

Software Development Engineer for AWS Neuron Foundation Tools Team, responsible for developing and maintaining high-performance monitoring and profiling tools for AI accelerators (Inferentia, Trainium). Focus on optimizing AI workloads by providing insights into performance bottlenecks and system behavior, improving ML Kernels and Frameworks. Manages the full development life cycle of the Neuron Profiler/Tools toolchain, collaborating with cross-functional teams on C++ compiler and runtime, and supporting frameworks like PyTorch, JAX, and XLA.

This role is for a Sr. Program Manager focused on AI strategy and operational efficiency within Translation Services. The primary responsibility is to lead the identification, development, and implementation of AI solutions to optimize translation operations, enhance productivity, and improve quality. The role involves building an AI strategy, developing governance frameworks, identifying improvement opportunities, and driving adoption of AI solutions. While the role leverages AI/ML technologies, it is focused on program management and product delivery rather than core AI/ML development.

Data Scientist II for AWS Managed Operations Intelligence (MOI) team. Responsible for the end-to-end data science lifecycle, including data exploration, ETL, model development, and data visualization, leveraging various analytical and AI frameworks to solve complex business problems and drive data-driven transformation. Focuses on reducing operational load and toil through long-term engineering projects.

Senior Software Development Engineer on the Device Diagnostics and Troubleshooting team, building systems leveraging Generative AI for proactive detection and root cause identification in Amazon Devices. Role involves technical leadership, system architecture, mentoring, and operational excellence.

Software Development Engineer in Test focused on AI-enhanced automation for camera SDKs, including audio/video pipelines, secure boot, and hardware abstraction layers, aiming to improve test coverage, reduce execution time, and enhance defect detection.

This role focuses on developing firmware for power and performance management on ML acceleration chips. The engineer will design and implement intelligent control algorithms, optimization strategies, and real-time decision-making systems, working closely with hardware architects and focusing on resource-constrained environments. The role involves building instrumentation and tracing capabilities for algorithm development and validation.

Product Manager-Technical to drive trust, privacy, accessibility, and responsible AI initiatives across Amazon's Devices & Services portfolio. Own product strategy and execution for privacy-preserving features, accessibility standards, and RAI frameworks while delivering delightful customer experiences. Combines technical depth with product thinking to shape how millions of customers interact safely and inclusively with AI-enabled devices and services.

This role focuses on designing, delivering, and operating next-generation server infrastructure for AI training and inference workloads within AWS. It involves collaborating with various engineering teams and suppliers to ensure high performance, efficiency, and scalability of the hardware systems that power AI/ML and HPC in the cloud.

This is an internship role for Software Development Engineers at Amazon, focusing on building and operating innovative products and services. Interns will work on scalable cloud-native architectures, participate in code reviews, and contribute to technical documentation. A key responsibility involves leveraging and contributing to GenAI and AI-powered tools to improve development productivity. The role requires experience with at least one general-purpose programming language and data structure/algorithm fundamentals, with a preference for prior internship experience or AI-related experience.

This role is for a Senior Data & AI Cloud Architect within AWS Professional Services. The primary focus is on designing, implementing, and managing AWS solutions for customers, with a strong emphasis on data infrastructures and AI programs. While the role involves working with AI programs and data infrastructures, the core craft is cloud architecture and solution delivery, not direct AI/ML model development.

Data Science Manager role at Amazon PXT Central Science, focusing on leading a team to build structural and predictive models, leverage data science workflows, and drive innovations for customer impact. The role involves team management, technical direction, and strategic planning, with a focus on improving Amazon and the lives of Amazonians through economics, behavioral science, statistics, machine learning, and Generative AI.

Software Development Manager for the NKI Compiler Team at Amazon Annapurna Labs, focusing on developing and optimizing a new compiler for AWS custom ML hardware (Inferentia and Trainium chips). The role involves leading a team of compiler engineers to deploy compiler optimization algorithms and a new compiler at scale, targeting AWS ML accelerators. The team works on the AWS Neuron SDK, including an ML compiler and runtime, integrating with frameworks like PyTorch and TensorFlow. The role requires strong leadership, technical expertise in compilers, and collaboration with AWS ML services teams.

This role is for a Sr. Manager of GenAI Strategy within AWS, focusing on leading a team that helps customers enhance business outcomes using generative AI and broader data science. The role involves partnering with customers and various AWS teams, refining programmatic approaches to drive business metrics, and educating customers on the value of generative AI and AWS services. The ideal candidate will have experience in customer-facing roles, team management, technical program launches involving AI/ML, and a strong understanding of connecting business value to scalable solutions.

This is an intern role focused on demand generation within AWS. Responsibilities include market research, lead engagement, event support, and contributing to business strategies. The role requires experience with Generative AI tools and workflow automation platforms, along with strong project management and data analysis skills.

Director, Applied Science role focused on Stores Economics and Science, leveraging economics, statistics, and machine learning to optimize Amazon's buyer-seller economy. The role involves leading the development of scientific models, collaborating with scientists and engineers on data analysis and validation, and translating analysis into actionable business strategies. It requires strong economic expertise, modern data science tools, and the ability to communicate complex findings to business partners.

Product Manager for Amazon Connect's Interactive AI team, focusing on developing next-generation generative AI infused agent, manager, and end-customer experience capabilities for a cloud-based contact center. The role involves defining product roadmaps, writing requirements, partnering with marketing, managing prioritization, and driving executive communications.