Amazon

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, to support the development and deployment of generative AI and LLMs. The role involves working with various data types, delivering high-quality labeled data using in-house tools, and analyzing root causes to improve labeling quality.

This role is for a Senior Strategic Supply Chain Manager in Amazon's Books organization. The primary focus is on optimizing supply chain strategies, including demand forecasting, ordering, and inventory management, to improve customer and vendor experience. While the role mentions leveraging machine learning models for automation, the core responsibilities are in supply chain management and optimization, not direct AI/ML development.

Senior Technical Program Manager to lead the development and evolution of a Sales Planning Tools platform. This role will own the end-to-end technical program management, drive technical strategy, manage dependencies, define roadmaps, and ensure operational excellence across multiple engineering teams. The role involves partnering with various stakeholders including data science and engineering, and has a technical focus on data pipeline architecture, ETL, ML model integration, and platform scalability.

This role is for a Network Development Manager III at Amazon OpsTech, focusing on leading the development and delivery of automated LAN and Wireless network solutions for fulfillment and robotics operations. The role emphasizes driving innovation in network automation, AI-powered solutions, and next-generation architectures, while also managing a team of engineers. The primary focus is on the infrastructure that supports AI operations rather than building AI models directly.

This role is a Senior Training Specialist for an Agentic AI team. The primary responsibilities include facilitating blended learning, supporting training planning and execution, tracking progress, identifying areas for improvement, and scaling training innovations. While the role supports an AI team and uses GenAI tools, it does not involve building or shipping AI models or systems directly.

This role is a Team Manager for Data Services within Amazon's Artificial General Intelligence (AGI) organization. The team focuses on data creation, curation, and analytics to support the development and training of Alexa AI, specifically improving speech recognition and language understanding capabilities. The manager will oversee daily operations, hiring, training, performance monitoring, scheduling, and process improvement, working closely with ML Science teams. While the team supports AI development, the manager's core responsibilities are operational and people management, not direct AI/ML model building.

This role focuses on training delivery and management within an AI organization, specifically for the AGI-DS Knowledge Management Team. The Senior Training Specialist will facilitate blended learning, manage learning systems, track training completion, and identify areas for improvement to scale training approaches. While the role is within an AI context and uses AI tools, its core function is training and development, not direct AI/ML model development or deployment.

The AI Data Associate role focuses on foundational labeling tasks for generative AI, including dialogue evaluation across text, speech, audio, image, and video data. The role involves maintaining data quality, analyzing root causes of errors, and suggesting process improvements, all while adhering to strict confidentiality and Amazon's policies for responsible AI development.

Data Scientist role focused on building the next generation supply chain for Amazon's ultra-fast customer experiences. The role involves identifying and prioritizing complex business problems, translating them into data science problems, and designing, developing, and evaluating innovative statistics and ML models. It also requires establishing scalable processes for data analysis, model development, validation, and implementation, with a goal to improve customer experience, product availability, and reduce supply chain costs.

The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation and collaborating with cross-functional teams. The role requires proficiency in Spanish and German languages.

Senior Data Scientist 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. The role involves working across the project lifecycle, collaborating with various teams for production implementation, and adapting new modeling techniques.

Software Development Engineer II on the AWS Applied AI Solutions team, focusing on building and maintaining the secure data foundation for AI-driven business applications. This role involves owning the complete data lifecycle from ingestion to model training and customer opt-out controls, ensuring privacy, security, and compliance. The engineer will design and implement solutions for data storage, access interfaces, and authorization systems, while also mentoring team members and resolving operational issues.

Data Scientist on the Alexa Daily Essentials team, focusing on analyzing complex data, developing statistical methodologies, and providing product insights to shape solutions. Responsibilities include problem-solving through data analysis and modeling, building data pipelines, acquiring data via SQL/ETL, and communicating complex ideas to technical and non-technical audiences.

Software Development Engineer II at Amazon, focused on building the platform for designing and managing Amazon's global transportation network. The role involves calculating capacity, predicting gaps, identifying at-risk packages, and responding to real-time disruptions. It utilizes AWS services, big data processing (Spark/Scala), optimization algorithms, machine learning models, and GenAI. The position requires operating at all levels, providing strategic inputs, driving planning and execution, and contributing to talent development and operational excellence.

This role is for a Network Development Manager at Amazon, leading a team responsible for designing, planning, and delivering global network infrastructure for Amazon's fulfillment, transportation, and grocery sites. The role involves driving the integration of networking technologies, managing vendor relationships, and scaling network architectures. A key aspect is championing the integration of AI and machine learning to enhance network automation and operations, and promoting the adoption of AI-powered tools and generative AI for network operations.

Full-Stack Software Engineer role focused on building AI-powered personalized discovery experiences for Amazon customers. The role involves designing, developing, and operating features across web and mobile surfaces, with a strong emphasis on personalization and generative AI.

Senior Solution Architect for Amazon Shipping, focused on driving enterprise customer launches by designing and implementing complex integrations. The role involves technical expertise in pre-sales and post-sales, customer advisory, and hands-on execution, including leveraging AI tools for troubleshooting.

Software Development Engineer II role focused on building intent-based automation and optimization algorithms for transportation network disruptions. The role involves designing and developing scalable distributed systems, machine learning models for forecasting, scheduling, and route planning, and orchestrating optimal route corrections. It operates at a large scale within Amazon's middle-mile transportation network.

Senior Solutions Architect role focused on helping enterprise customers adopt and leverage AWS services, including Generative AI and Data Analytics, by providing architectural guidance, technical content, and evangelism. This role is customer-facing and involves understanding business needs to craft technical solutions.

Software Development Engineer role focused on building and scaling automation solutions using Machine/Deep Learning and LLMs for Amazon's Retail Business Services. The role involves designing, developing, and deploying robust engineering platforms to solve high-impact business problems, with a focus on retail automation and customer experience.

The role involves foundational data labeling for generative AI and LLMs, including text, speech, audio, image, and video data. Responsibilities include maintaining confidentiality, delivering high-quality labeled data according to KPIs, using in-house tools, analyzing root causes of errors, and suggesting process improvements. The role requires strong attention to detail, ability to make sound judgments, and proficiency in German.

This role focuses on building and training models for sales forecasts and planning within Amazon's Ad Sales Finance analytics team. It requires strong statistical and machine learning skills, experience with time-series forecasting, and the ability to translate complex findings into actionable business insights. The role involves working with large datasets and partnering with business leaders.

This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The goal is to support the development and responsible deployment of large language models and generative AI across Amazon's businesses.

Software Development Engineer II on the Alexa Shopping team in Bangalore, focused on building and launching customer-facing AI-powered shopping experiences across various platforms. The role involves designing, developing, and owning technologies for Shopping List, Grocery, and Product Evaluation, with a strong emphasis on integrating Generative AI features to enhance customer experience and anticipate needs.

Software Development Manager for Alexa Shopping Core team in Bangalore, leading engineering efforts for Shopping List, Grocery, and Product Evaluation experiences using Generative AI to build customer-centric shopping features across multiple platforms. Focus on managing a team, driving technical vision, and delivering AI-powered shopping experiences at scale.

This role focuses on designing and implementing production-quality technical demonstrations for AWS services, particularly in Generative AI and Machine Learning. The responsibilities include developing code artifacts, supporting analyst evaluations, and collaborating with various teams to showcase new products and features. The role emphasizes creating inspiring technical showcases for product launches and events.

Software Development Engineer role focused on building automation and AI/ML solutions, including LLMs, to support Amazon's Retail Business Services. The role involves designing and developing large-scale distributed systems, solving complex business problems, and ensuring the quality and comprehensiveness of Amazon's catalog. Emphasis on innovation, operational excellence, and collaboration with Applied Scientists.

This role is for a Senior Technical Program Manager at Amazon, focusing on AI-Powered Network Planning. The core responsibility is to own the roadmap for AI-native solutions that learn, predict, and optimize the customer service network. The role involves leading end-to-end delivery of AI-enabled forecasting and capacity optimization initiatives, partnering with Engineering, Science, and Product teams to architect and scale systems, and managing the transition from legacy to next-generation AI-native capabilities. It requires influencing without authority, navigating ambiguity, and defining program mechanisms. The role operates at the intersection of Engineering, Science, and Product, aiming to redefine the global network through AI.

This role is for a Senior Finance Data Analyst who will build reporting tools and dashboards for the Amazon Retail Finance team. The role involves automation, business intelligence, and integrating with AI/ML initiatives to improve financial analysis and reporting. While the role will interact with AI/ML tools and initiatives, its core function is data analysis and reporting within finance, not the direct development or research of AI models.

This role involves foundational labeling of diverse data types (text, speech, audio, image, video) for generative AI and LLMs, focusing on quality, accuracy, and confidentiality. The associate will use in-house tools, analyze data patterns, identify process improvements, and provide floor support. The goal is to contribute to Amazon's responsible AI development.

Experienced Software Development Manager to lead a team building next-generation distributed, scalable financial systems. The role involves shaping vision and strategy, designing secure systems for sensitive financial data, mentoring teams, and driving the adoption of emerging technologies like agentic AI and LLMs.

Software Development Engineer to build a globally scalable gross-to-net payroll calculation engine with deep tax calculation capabilities, leveraging LLM-based rule extraction for complex, real-time regulatory contexts. The role involves designing and developing deterministic tax calculation algorithms, creating accounting integration services, and implementing GenAI shadow mode validation frameworks.

Software Development Engineer to build a globally scalable gross-to-net payroll calculation engine with deep tax calculation capabilities, leveraging LLM-based rule extraction for complex regulatory contexts. The role involves designing and developing deterministic tax calculation algorithms, creating accounting integration services, and implementing GenAI shadow mode validation frameworks.

This role focuses on leveraging Generative AI to improve software development and support processes within Amazon Business. The Systems Development Engineer will be instrumental in building and evolving software infrastructure, designing and implementing robust solutions, developing applications, and creating automated processes. The core of the role involves using AI to accelerate development velocity, enhance code quality, and transform problem-solving through intelligent automation and AI-assisted collaboration.

Software Development Engineer responsible for developing and maintaining high-performance monitoring and profiling tools for AWS Neuron AI accelerators (Inferentia and Trainium). The role involves managing the full development lifecycle of the Neuron Profiler/Tools toolchain, optimizing ML Kernels and Frameworks, and collaborating with compiler and runtime teams to provide insights for customer optimization of AI workloads.

Senior Software Developer role focused on improving the developer experience for Amazon Aurora Distributed SQL, particularly in the context of AI-assisted development and agentic applications. The role involves leading technical strategy, architecture, and delivery of tools, documentation, and integrations to make DSQL easier for developers and AI agents to use.

This Business Intelligence Engineer role focuses on transforming complex data into actionable insights for Seller Performance Support metrics. The role involves data quality monitoring, dashboard creation, driver analysis, time series forecasting, and A/B testing. While the core function is BI and analytics, there's a stated preference for leveraging and integrating generative AI tools to enhance workflows and drive business value.

Software Development Engineer II at Amazon on the Selection Monitoring team, responsible for processing billions of products to algorithmically identify and add new products to the Amazon catalog. The role involves applying ML/DL algorithms, building Information Retrieval systems, and working with large-scale distributed systems, Big Data, and AI technologies to improve product information, search, pricing, and delivery experience.

Software Development Engineer 2 role focused on data labeling services for AGI and Gen-AI models, including agentic models. The role involves developing and maintaining key features of the system, devising design approaches, prototyping, and working in an Agile environment to deliver high-quality software. The team provides full-cycle, high-quality data and services to power the AGI lifecycle.

This role is for a Sales Lead focused on driving seller engagement for global expansion using Generative AI tools. The candidate will leverage existing data and build/use Gen AI tools to automate outreach and personalize nudges for sellers. The role involves both manual outreach and partnering with product teams to develop future AI solutions, aiming to scale impact globally.

Data Scientist role focused on designing and optimizing complex delivery networks using statistical and machine learning models, experiments, and simulations. The role involves owning the Data Science/ML roadmap, translating business challenges into mathematical models, and delivering scalable solutions.

Senior Data Scientist role focused on developing demand prediction and pricing models for Amazon Shipping's spot pricing system, utilizing ML and economic principles. The role involves automating price exploration, predicting prices to maximize capacity utilization, and incorporating models into production. Collaboration with business and software teams is key, as is educating non-technical leaders on complex modeling concepts.

This role focuses on designing and implementing scalable data science approaches, acquiring and analyzing data, and building statistical and machine learning models. It involves using SQL for data acquisition and ETL, and implementing models with considerations for computational demands, accuracy, and reliability.

This role is for a Delivery Consultant on the AWS ProServe team, focusing on designing, implementing, and managing AWS solutions for customers. While the role involves advising on emerging technologies and innovative solutions, including AI/ML, its core function is cloud solution delivery and customer success, not direct AI/ML model development or research. The role requires a strong understanding of AWS services and cloud architecture, with a focus on customer-facing technical consulting and project management.

Manager, Senior Economist, Marketing Measurement at Amazon. This role leads a team of Economists, Data Scientists, and Applied Scientists to design and build a next-generation marketing measurement system using causal inference and AI. The goal is to provide actionable insights for marketing investment decisions, focusing on incrementality and long-term customer actions across WW marketplaces. The role requires strong leadership, technical expertise in econometrics and AI solutions, and the ability to bridge the gap between technical teams and business stakeholders.

This role involves architecting and developing solutions using Machine Learning, Deep Learning, and Generative AI to create prototypes for customers. The focus is on applying software engineering best practices to ensure prototypes can form a foundation for production solutions, within a creative environment that embraces experimentation. The role requires deep technical expertise and collaboration to solve customer problems.

This role focuses on the power and performance architecture for ML accelerators within Amazon's data centers. The Senior Power Architect will design and optimize power solutions, DVFS flows, and power management algorithms for these hardware components, working closely with cross-functional teams. While the hardware is for ML accelerators, the core craft of the role is power and performance engineering, not direct ML model development or deployment.

This role leads a team responsible for end-to-end execution of data collections that improve General Intelligence models. It involves managing teams across multiple sites, driving business value through efficiency and agility, and having the technical acumen to handle challenging collections. The role also focuses on global program improvement initiatives, stakeholder coordination, monitoring collection health, and collaborating with product and technology teams.