Software Development Engineer role focused on integrating Large Language Models (LLMs) into Alexa's audio experiences. The role involves designing and implementing software, creating infrastructure for LLMs in audio, developing tools to evaluate and improve model accuracy, reduce latency, and influence the operational roadmap for core audio services. The position also requires mentoring junior engineers and contributing to hiring efforts.

Software Development Engineer role focused on integrating Large Language Models (LLMs) into Alexa's audio experiences, aiming to improve model accuracy and reduce latency. The role involves designing and delivering software, creating infrastructure for LLMs, developing tools for evaluation, and influencing the operational roadmap for core audio services.

Software Development Engineer role focused on enhancing Alexa's audio experiences by integrating Large Language Models (LLMs), improving model accuracy, reducing latency, and building scalable API platforms. The role involves designing, implementing, and delivering software features, creating infrastructure for LLM integration, and influencing the operational excellence roadmap for audio services.

Software Development Engineer role focused on integrating Large Language Models (LLMs) into Alexa's audio experiences, aiming to improve model accuracy and reduce latency. The role involves designing and delivering software, creating infrastructure for LLMs, developing tools for evaluation, and influencing the operational roadmap for core audio services.

Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale.

Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale.

Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale.

Software Development Engineer role focused on integrating Large Language Models (LLMs) into Alexa's audio experiences, aiming to improve model accuracy and reduce latency. The role involves designing and delivering software, creating infrastructure for LLMs, developing tools for evaluation, and influencing the operational roadmap for core audio services.

Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale.

This role focuses on the end-to-end development and deployment of machine learning and data science solutions for intelligent communication experiences within Alexa. The Data Scientist will design, build, and improve ML models for capabilities like prioritization and intent detection, analyze large datasets, conduct experiments, and contribute to the applied science roadmap, ultimately delivering AI-driven solutions to millions of customers.

This role focuses on the end-to-end development and deployment of machine learning and data science solutions for intelligent communication experiences within Alexa. The Data Scientist will design, build, and improve ML models for capabilities like prioritization and intent detection, analyze large datasets, conduct experiments, and contribute to the applied science roadmap, ultimately delivering AI-driven solutions to millions of customers.

Software Development Engineer role at Amazon Alexa Connections, focusing on integrating generative AI and machine learning into communication features to enhance customer experiences. The role involves designing and building scalable, fault-tolerant systems for AI/ML workloads, including Gen AI inference and training pipelines, within an agile environment.

The Data Scientist, Digital Acceleration role at Amazon focuses on designing and delivering advanced analytics and machine learning models for Amazon's digital businesses. The role involves end-to-end project management, from ideation to deployment, with a strong emphasis on Generative AI solutions and LLMs to enhance data access and solve customer problems within the Digital Acceleration Analytics team.

This role focuses on designing and developing large-scale agentic AI systems for Alexa's communication features, aiming to redefine intelligent conversational experiences. The engineer will lead the development and scaling of real-time agentic AI solutions, collaborate with cross-functional teams, and ensure high quality and customer experience.

The AGI team is seeking engineers to develop and maintain multi-modal and multi-lingual LLMs using scalable training and inference systems. The role involves deeply understanding technology landscapes, evaluating new technologies, and driving operational excellence. Key responsibilities include leading the design and automation of GenAI training compute infrastructure, mentoring engineers, identifying performance bottlenecks, and working with core AWS services, CI/CD pipelines, and Kubernetes.

Software Development Manager for Alexa Audio, focusing on building and scaling audio experiences for Alexa-enabled devices. The role involves leading a team of software engineers, setting technical vision, and partnering with product management to leverage Generative AI and LLM capabilities for customer-facing audio features.

Software Development Manager for Alexa Daily Essentials, leading teams in Customer Artifact Management (ingesting/processing customer content like PDFs, images), Notes & Memory (intelligence layer for remembering/reasoning over customer info), and GenAI Tooling (internal GenAI tools for engineering productivity). The role owns full-stack development, including backend systems and ML pipelines, and drives GenAI adoption.

This role is for a Senior Product Manager, Tech, focused on Alexa Daily Essentials, leveraging generative AI to build the next-generation AI-assistant for millions of customers. The role involves driving product strategy, roadmap, and technical specifications, collaborating with science, engineering, and design partners to create engaging productivity scenarios. The candidate will own part of the Alexa Productivity Essentials initiative, defining vision and strategy, and ensuring experiences leverage new AI innovations. The ideal candidate has strong product leadership, technical skills, and a customer-centric mindset with a history of launching products, particularly those leveraging AI/ML and NLU.

This role is for a Senior Product Manager, Tech, on the Alexa Daily Essentials team. The focus is on leveraging generative AI to build the next generation of Alexa's AI assistant for productivity scenarios like timers, alarms, calendars, and news. The PM will drive product strategy, own the roadmap, translate customer requirements into technical specifications, and collaborate with science, design, research, and engineering partners to deliver engaging customer experiences across various Alexa touch-points. The role emphasizes innovating on behalf of customers and impacting millions of users worldwide.

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 focuses on auditing and ensuring the quality of machine learning data workflows. The Senior Quality Auditor will become an expert in specific workflows, lead teams of auditors, execute complex audits, and provide analysis and insights for optimization. The role requires hands-on audit execution and leadership experience in technical domains.

This role focuses on auditing and ensuring the quality of machine learning data workflows. The Senior Quality Auditor will become an expert in specific workflows, lead teams of auditors, execute complex audits, and provide analysis and insights for optimization. The role requires hands-on audit execution and leadership experience in technical domains.

This role focuses on auditing and ensuring the quality of machine learning data workflows. The Senior Quality Auditor will become an expert in specific workflows, lead audit teams, execute complex audits, and provide analysis and insights for optimization. It requires experience with ML data workflows and leadership.

The ML Data Associate I role at Amazon focuses on performing annotation and data processing tasks for ML data, including audio, image, video, and text. The role involves collecting ground truth data, executing detail-oriented exercises, applying language skills, and meeting daily productivity and quality targets. It also includes performing quality audits, reporting results, adhering to compliance requirements, and testing new ML data tools.

The ML Data Associate I role at Amazon focuses on performing annotation and data processing tasks for ML data, including audio, image, video, and text. The role involves collecting ground truth data, executing detail-oriented exercises, applying language skills, and meeting daily productivity and quality targets. It also includes performing quality audits, reporting results, adhering to compliance requirements, and testing new ML data tools.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

The Content Associate-JP plays a critical role in ensuring an exceptional customer experience on FireTV devices by managing and validating digital content within the FireTV catalog. This role demands a high bar for quality, a passion for accuracy, and the ability to work effectively with Japanese-language content and stakeholders.

Software Development Engineer II role focused on designing and implementing full-stack technologies for FireTV, Fire Tablet, and Alexa devices to enhance customer content consumption experiences. The role involves creating innovative customer experiences using Android, cloud services, and frontend/backend technologies, collaborating with product and UX teams, and architecting solutions for user interaction and entertainment discovery.

This role focuses on executing defined tasks, creating flow diagrams, and performing repetitive processes with high quality and minimal guidance. It involves managing assignments, prioritizing tasks, and using software tools for data capture, with a strong emphasis on following organizational processes and communicating results.

This role focuses on executing defined tasks, creating flow diagrams, and performing repetitive processes with high quality and minimal guidance. It involves managing assignments, prioritizing tasks, and using software tools for data capture, with a strong emphasis on following organizational processes and communicating results.

This role focuses on executing defined tasks, creating flow diagrams, and performing repetitive processes with high quality and minimal guidance. It involves managing assignments, prioritizing tasks, and using software tools for data capture, with a strong emphasis on following organizational processes and communicating results.

This role focuses on executing defined tasks, creating flow diagrams, and performing repetitive processes with high quality and minimal guidance. It involves managing assignments, prioritizing tasks, and using software tools for data capture, with a strong emphasis on following organizational processes and communicating results.

This role focuses on executing defined tasks, creating flow diagrams, performing repetitive tasks efficiently, managing assignments, and using software tools for data capture. It does not involve core AI/ML development or research.

Software Development Engineer II role focused on designing and implementing full-stack technologies for FireTV, Fire Tablet, and Alexa devices to enhance customer content consumption experiences. The role involves creating innovative customer experiences using Android, cloud services, and frontend/backend technologies, collaborating with product and UX teams, and architecting solutions for user interaction and entertainment discovery.

Software Development Engineer II role focused on designing and implementing full-stack technologies for FireTV, Fire Tablet, and Alexa devices to enhance customer content consumption experiences. The role involves creating innovative customer experiences using Android, cloud services, and frontend/backend technologies, collaborating with product and UX teams, and architecting solutions for user interaction and entertainment discovery.

Manager III, Business Intel at Amazon in Chennai, India, focusing on leveraging Amazon-scale data, analytics, and data infrastructure to improve the book discovery and reading experience. The role involves generating business insights from diverse data sources and leading a team to provide descriptive, diagnostic, predictive, and prescriptive analytics.

Software Development Engineer II role focused on designing and implementing scalable full-stack technologies for Amazon's Fire TV, Fire Tablet, and Alexa devices, aiming to enhance customer content consumption and entertainment experiences. The role involves collaborating with product and UX teams, architecting solutions, and creating innovative customer experiences using Android, cloud services, and full-stack development.

Senior WiFi Test Engineer role focused on developing test plans, implementing test cases, supporting automation, and troubleshooting issues for eero's WiFi products. Requires extensive experience in quality assurance, WiFi protocols, RF lab equipment, and scripting.

Software Development Manager for Amazon's Devices Content and Advertisement team, focusing on reinventing how users enjoy content on TVs and Tablets. The role involves leading engineering teams, defining feature roadmaps, and delivering new products and features at Amazon scale, leveraging technologies like computer vision and machine learning.

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.

Data Engineer role focused on building foundational analytical datasets and data pipelines using AWS services for Amazon's digital businesses. The role involves ETL, data modeling, and partnering with various teams including MLEs and Scientists.

Software Development Engineer II role focused on designing and implementing full-stack technologies for FireTV, Fire Tablet, and Alexa devices to enhance customer content consumption experiences. The role involves creating innovative customer experiences using Android, cloud services, and frontend/backend technologies, collaborating with product and UX teams, and architecting solutions for user interaction and entertainment discovery.