Amazon

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

Director of Software Development for Amazon Foundational Security Services (AFSS) focusing on identity and access management. The role involves transforming access controls, operating Tier-1 services, and establishing a new vision for business agility and security. Key responsibilities include leveraging generative AI for development acceleration, service operations transformation, and shipping AI authorization features to support agentic AI.

Software Development Engineer role focused on optimizing and solving complex problems in Amazon's global fulfillment operations using AI-powered development tools and AI-first methodologies. The role involves designing, implementing, and shipping features, debugging distributed systems, generating test suites and documentation, and prototyping integrations, all augmented by AI tools. The engineer will own the AI-augmented software development lifecycle and champion AI-first practices within the team.

Senior Design Technologist role focused on integrating AI tools into creative advertising production workflows for IMDb. The role involves leading technical execution of campaigns, prototyping, and evaluating/operationalizing AI solutions to accelerate creative processes and reduce manual effort. It requires a blend of design sensibility and front-end development expertise.

The Catalog Specialist II role at Amazon supports the development of Machine Learning (ML) models and data science classification algorithms by performing data annotation and collaborating with science and technology teams. The role focuses on ensuring high-quality annotated data to optimize model performance and improve efficiency and accuracy of annotation processes.

Software Development Engineer II role focused on building AI-native experiences for Alexa+ using generative AI and LLMs, enabling third-party partners to create engaging customer experiences. The role involves designing, architecting, and implementing software that runs on millions of devices, with a focus on high quality, long-term architecture, and engineering best practices.

Software Development Engineer on the Playback team at Audible, focusing on designing, architecting, and implementing machine learning solutions for audio storytelling applications. The role involves developing software components, collaborating with stakeholders, and optimizing playback quality and customer experience.

Solutions Architect role focused on helping customers leverage AWS services, including AI and GenAI, to build applications and services. The role involves technical engagement, understanding customer architectures, and ensuring successful implementation.

This role is a Go-To-Market (GTM) Specialist Solutions Architect within the AWS Worldwide Specialist Organization (WWSO) AI/ML/GenAI team. The primary focus is on helping customers develop data-driven initiatives and solve complex data challenges using AWS services. The role involves representing customer needs to product teams, providing technical expertise to GTM teams, owning the technical bar for artifacts, collaborating on GTM strategy, acting as a thought leader, guiding internal SMEs, and creating enablement materials for other Solutions Architects. While the role is within an AI/ML/GenAI team and involves working with data and AI technologies, the core responsibilities are focused on go-to-market strategy, customer engagement, and technical enablement rather than directly building or shipping AI models or agents.

This role supports the development of ML models and classification algorithms by performing data annotation and labeling. The Catalog Specialist will work closely with product, technology, and science teams to ensure high-quality annotated data for model training and evaluation, aiming to improve customer experiences within Amazon's returns and sustainability group.

Software Development Engineer II role at Amazon Physical Stores Payment team, focusing on building innovative payment solutions for retail formats like Just Walk Out technology. The role involves developing next-generation payment technologies, including cloud-enabled and on-device solutions, with experiments in generative AI for predictive patterns and autonomous payment agents. Responsibilities include designing cloud-native services, implementing payment integrations, developing risk and fraud prevention features, and contributing to system architecture.

This role focuses on developing and maintaining dashboards and data visualization solutions to support a learning team, leveraging AI/ML tools to drive efficiency and impact. The primary output is actionable insights from complex data for operational and strategic decision-making.

Software Development Engineer role focused on building customer-facing features for Amazon's global expansion, leveraging Machine Learning models to solve real-world problems and automate launch strategies. The role involves working in a distributed environment impacting e-commerce revenue across numerous countries.

The role focuses on the physical design and optimization of hardware, specifically custom SoCs (System on Chip) that are central to AWS Machine Learning servers, including AWS Inferentia and Trainium Systems. The engineer will be involved in the entire physical design flow from synthesis to sign-off, developing methodologies, and evaluating third-party IP. While the hardware supports AI/ML workloads, the core craft of the role is in ASIC physical design engineering, not in building or researching AI models themselves.

This role involves training and improving Amazon's generative AI-powered shopping assistant, Rufus, by conducting high-judgment evaluations and labeling data across various modalities (text, image, video, audio). The goal is to enhance the model's fluency, provide better product research, comparisons, and recommendations to customers.

Software Developer role focused on automating international expansion for Amazon by building customer-facing features, leveraging ML models for solutions, and working in a distributed environment.

This role focuses on developing and maintaining product knowledge ontologies and taxonomies for Amazon's e-commerce platform. The Ontologist will create semantically rich data models, ensure machine ingestibility, research product understanding, and leverage generative AI for schema creation. The goal is to optimize product discovery and customer experience through a robust knowledge graph.

This role focuses on foundational data labeling for AI models, specifically for Alexa. Responsibilities include annotating text, speech, image, and video data, maintaining quality and confidentiality, and contributing to process improvements. The role requires strong analytical and research skills, attention to detail, and fluency in French and English.

This role is for a Sr. Analytics & AI Specialist Solutions Architect within AWS Global Sales, focusing on the Financial Services industry. The primary responsibility is to provide deep technical expertise and architectural guidance to customers on leveraging AWS analytics and AI services to solve complex business problems. The role involves collaborating with sales, marketing, and product teams, acting as a trusted advisor to business leaders, and thought leadership through content creation and public speaking.

Embedded Software Engineer role focused on developing and optimizing software and firmware for Annapurna Labs' next-generation machine learning platforms, specifically the NeuronSwitches interconnect fabric for Trainium chips. The role involves hardware/software co-design, device driver development, ML infrastructure, and ensuring high-performance data movement for AI workloads.

Senior Software Development Engineer to build AI-powered analytics tooling for Prime Video teams to pinpoint playback issues, debug at scale, and drive smarter business decisions. The role involves working with large-scale real-time data, ML, AI, NLP, and distributed systems to build scalable services. The team focuses on generating actionable metrics, datasets, insights, and intelligence through ML models and tooling, supporting various customers like playback engineers and partner teams working on algorithms. The goal is to automate data exploration and identify key areas for improving customer experience.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

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.

The AI Data Associate role focuses on foundational labeling tasks for AI development, including dialogue evaluation across various data modalities (text, speech, audio, image, video). The role requires delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to improve labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) at Amazon.

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.

This role is for a Senior Security Solutions Architect at AWS, focusing on helping large enterprise customers secure their services and achieve business goals on AWS. The role involves advising on security, risk, and compliance, particularly in areas like Identity, Data Protection, Network Security, and Generative AI. It requires designing proof-of-concept architectures, developing technical content, and mentoring internal teams. While the role interacts with AI concepts and customers using AI, it does not involve building or shipping AI models or systems directly.

This role involves building data pipelines, dashboards, and leveraging Generative/Agentic AI products for data self-service within Amazon Payment Products. The engineer will analyze large datasets, present insights, and manage projects from start to finish, with a focus on driving business profitability.

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.

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.

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 at Amazon. This role involves working with diverse data types, delivering high-quality labeled data, analyzing root causes of errors, and proposing solutions to enhance labeling quality.

Lead data engineering, business intelligence, and analytics teams to build scalable data pipelines, analytical frameworks, and enable machine learning models for seller verification and onboarding systems. Focus on data infrastructure, modeling capabilities, and insights to drive verification effectiveness, impacting seller experience and marketplace integrity.

This role focuses on designing and implementing system-level test solutions for ML acceleration hardware within AWS. It involves validating hardware and software for large-scale deployment, collaborating with cross-functional teams, and ensuring the quality and reliability of ML infrastructure.

The role involves evaluating annotated datasets for training generative AI models, ensuring accuracy and consistency. It requires German fluency and attention to detail in data quality assurance and integrity.

Senior Technical Program Manager to lead the MAPLE (Marketing Automation Program and Learning Engine) Channels roadmap, driving the technical strategy and execution of L10 goals for payment product recommendations across Amazon's core shopping experiences. This role involves managing complex technical programs, ML optimization experiments, and architectural migrations for systems handling high transaction volumes and impressions. The role also requires partnering with various teams including ML Science and Data Engineering to deliver scalable ML and econometric models.

Data Engineer II role within AWS Applied AI Solutions, focusing on building and deploying reliable distributed data pipelines for Amazon Go's Just Walk Out Technology. The role involves data modeling, ETL, and working with various AWS technologies to support machine learning and vision systems.

This role is for a Sr. Business Intelligence Engineer focused on Demand and Inbound Forecasting within Amazon's supply chain. The engineer will develop tools and metrics for analytics solutions, lead projects using data modeling and statistical analysis, and partner with product, science, and engineering teams. While the role mentions experience with ML and data science theory, its core function is BI and analytics for forecasting, not direct AI/ML model development or deployment.

This role is for a Sr. Mechanical Engineer focused on the design and optimization of hardware, specifically custom chips and accelerators for machine learning in Amazon's data centers. While the hardware supports ML, the core craft of the role is mechanical and thermal engineering, not AI/ML model development.

The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, and video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to improve labeling quality. The role requires strong analytical thinking, problem-solving, and attention to detail, with fluency in Dutch and English.

The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, and video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to improve labeling quality. The role requires strong analytical thinking, problem-solving, and attention to detail, with fluency in Dutch and English.

Solutions Architect role focused on driving customer adoption of AWS services, particularly in the Automotive & Manufacturing sector, with a focus on Generative AI. The role involves technical sales strategy, customer education, architectural guidance, and building demos/PoCs to showcase AWS's GenAI capabilities.

Front End Engineer II for AWS Marketplace, focusing on building a new Generative AI application. The role involves end-to-end software development, collaboration with stakeholders, and delivering user-facing features for enterprise customers.

Data Engineer role focused on designing, developing, and maintaining data infrastructure, including data pipelines, ETL processes, and data warehousing, to support analysis, reporting, and machine learning applications. The role involves collaborating with cross-functional teams and potentially redesigning data architecture. Experience with generative AI tools is preferred.

Lead industrial design strategy for Amazon's Personal Robotics Group, shaping the future of human-robot hardware experiences. Drive design excellence at the intersection of AI and physical robotics, creating next-generation products that seamlessly integrate intelligent systems with embodied agents. Partnering directly with Director+ leadership, you'll set new vision and standards for how people connect with robotic technology in their daily lives.