Amazon

Data Engineer II role focused on building and maintaining data pipelines, including GenAI enhanced pipelines, to support AI Agent platforms and various analytics use cases within Ring Agent Platforms at Amazon.

This role focuses on analyzing data to detect and prevent fraudulent activity and bad actors on Amazon's platform. The analyst will work with data sets and pipelines, identify patterns, develop rules for automated deployment, and support cross-functional teams. While the team uses machine learning, this specific role is more focused on data analysis, rule creation, and operational support rather than direct ML model development.

This role focuses on quality auditing for AI development and training data, involving manual review and validation of automated quality measurements, coaching Data Associates, and identifying root causes of issues to maintain high data quality standards.

This role focuses on auditing and optimizing complex machine learning data workflows. The Senior Quality Auditor will become an expert in specific workflows, lead teams of Quality Auditors, execute audits on complex scenarios, and generate insights for workflow improvement. The role requires hands-on audit execution and leadership experience.

This role focuses on auditing and optimizing complex machine learning data workflows. The Senior Quality Auditor will become an expert in specific workflows, lead teams of Quality Auditors, execute audits on complex scenarios, and generate insights for workflow improvement. The role requires hands-on audit execution and leadership experience.

The Language Engineer will focus on dataset construction, linguistic annotation, dialog/semantic schemas, and automatic processing of large datasets to advance natural language processing and machine learning. Responsibilities include designing data collection tasks, analyzing data for insights, building data analysis tools, and collaborating with scientists to evaluate language models.

Software Development Manager for Alexa Audio, focusing on delivering global audio experiences (music, podcasts, radio, audiobooks) across Alexa devices. The role involves leading a technology team, setting technical vision, building and managing software engineers, and driving engineering and operational excellence. It emphasizes working with partners and leveraging Generative AI and LLM capabilities to create customer-facing experiences.

Software Development Engineer II role focused on building internal and external facing customer experiences and Gen AI solutions for product lifecycle management within Amazon Private Brands. The role involves designing, developing, and maintaining code, collaborating with teams, and identifying opportunities to leverage generative AI for efficiency and product enhancement.

Software Development Manager for Alexa Audio, focusing on building and scaling global audio experiences using Generative AI and LLM capabilities. The role involves leading a technology team, managing software engineers, and driving technical vision and operational excellence in a fast-paced environment.

This role is for a Senior Partner Solutions Architect at AWS with deep domain expertise in the Financial Services (FSI) industry, specifically Banking and Capital Markets. The primary focus is on shaping and publishing repeatable industry solutions with AWS partners to accelerate customer adoption of AWS cloud computing services, including AI and Generative AI. The role involves working with partners and customers to develop sales opportunities, provide architectural guidance, and evangelize partner solutions.

Experienced Software Development Manager to lead a team building the next generation of distributed, scalable financial systems, with a focus on driving adoption of agentic AI and LLMs and influencing automation strategy.

This role focuses on leveraging Generative AI and intelligent agents to analyze large datasets, uncover patterns, and generate data-driven narratives for business decision-making. The engineer will develop AI-powered dashboards and automate the discovery of correlations and causalities.

This role focuses on overseeing and optimizing human-in-the-loop and model-in-the-loop data pipelines for AI solutions, ensuring data quality and providing mentorship. It involves collaborating with AI teams on data collection for LLM training and evaluating AI systems.

This role focuses on providing strategic oversight and mentorship for human-in-the-loop and model-in-the-loop data pipelines, ensuring data quality for LLM training and evaluations. The consultant will also mentor junior team members and collaborate with AI teams to optimize data collection and define benchmarks for GenAI model performance.

This role focuses on providing strategic oversight and mentorship for human-in-the-loop and model-in-the-loop data pipelines, ensuring data quality for LLM training and evaluations. The consultant will also guide junior team members and collaborate with AI teams on data collection approaches.

This role focuses on overseeing and optimizing human-in-the-loop and model-in-the-loop data pipelines for LLM training and evaluations. It involves providing strategic direction, ensuring data quality, mentoring junior team members, and collaborating with AI teams to improve data collection and model performance.

The Data Associate role at Amazon Japan is responsible for supporting AI development projects by evaluating and labeling various data types including text, speech, images, and videos. This role involves generating high-quality human judgment data, monitoring generative AI outputs for harmful content, and ensuring data privacy and security. The position is part of a new Chinese language team and requires strong language skills in Chinese and either Japanese or English, along with basic computer proficiency and teamwork abilities.

The Data Associate role at Amazon Japan focuses on supporting AI development by evaluating and labeling various data types (text, voice, image, video). Key responsibilities include generating high-quality human judgment data, monitoring harmful content from generative AI, and managing data privacy and security. The role also involves quality control, proposing improvements, and collaborating with the team. While no prior experience is required, a willingness to learn is valued. Fluency in Korean is essential, with proficiency in Japanese or English also required.

Principal Security Engineer for AWS Network Services, focusing on securing customer workloads and developing security products. The role involves using AI for security and securing AI workloads, making high-judgment security decisions, coaching junior engineers, and contributing to threat intelligence and network security services like WAF, BOTS, and DDoS Protection. Requires experience in delivering cyber security solutions, creating security strategies, and shipping production code.

Software Development Engineer II (SDE-II) for AWS Applied AI Solutions, specifically focusing on building Amazon Connect Health within the Healthcare AI organization. The role involves designing and developing scalable software systems, writing high-quality code for cloud-based healthcare applications, and collaborating with product managers and applied scientists. The position emphasizes working on data processing, analytics, and machine learning systems to improve healthcare outcomes, reduce costs, and enhance care delivery.

Data Scientist role focused on building data-driven frameworks for personalization and content discovery in Prime Video, leveraging advanced statistical and machine learning techniques to improve customer experience. The role involves end-to-end data science workflows, stakeholder partnership, and communication of findings.

Senior Solutions Architect role focused on helping Public Sector clients in Singapore adopt AWS cloud technologies, including AI/ML solutions. The role involves designing architectures, proof-of-concepts, and demonstrations, acting as a trusted technical advisor, and evangelizing AWS services. It requires strong technical and interpersonal skills to influence stakeholders and shape customer technology decisions.

This role focuses on foundational data labeling for AI, specifically dialogue evaluation across text, speech, audio, image, and video data. The associate will use in-house tools to deliver high-quality labeled data, meet KPIs, and contribute to the responsible development of AI models. Key responsibilities include analyzing root causes of errors, identifying process improvements, and providing floor support.

This role is for a Sr. Manager to build and lead a new team of Security Services Specialist Solutions Architects within AWS Global Sales. The team will focus on driving customer adoption of AWS security services, particularly for generative AI and agentic workloads, by acting as a technical bridge between AWS security services and customer needs. The manager will recruit, develop, and lead the team, partner with sales and product teams, and establish thought leadership.

This role is for a Senior Solutions Architect at AWS in New Zealand, focusing on helping enterprise customers adopt and leverage Agentic AI and cloud technologies. The role involves advising customers on best-practice architectures, driving technical discussions, scoping engagements, and acting as a thought leader through content creation and community engagement. While the role involves understanding and recommending AI solutions, the core responsibility is architectural design and customer advisory, not direct AI model development or deployment.

This role is for a Software Development Manager at Amazon Prime Video, leading a team focused on personalization and growth through AI/ML systems for content recommendations across various platforms. The manager will oversee product, user experience, design, and technology initiatives, working with SDEs on design, implementation, and delivery of large technology initiatives. The team leverages AI/ML to drive content discovery and engagement.

This role focuses on foundational data labeling for AI, including text, speech, audio, image, and video data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and analyze root causes of errors to improve labeling tasks. The role involves daily operational deliverables, floor support, and contributing to the responsible development of generative AI.

This role focuses on building statistical and machine learning models using large datasets to optimize product performance and support data-based decision making. The Data Scientist III will own data science elements of products, translate business problems into data requirements, and develop data science solutions. They will also be responsible for communicating analysis results and bridging uncertainty in problem definition and solution approaches.

Software Development Engineer II role at Amazon Advertising focusing on building scalable services and ML-powered software solutions for advertisers. The role involves full-stack development, leveraging big data technologies, and collaborating with research scientists and product managers to design and implement AI/ML-driven features.

UX Designer role focused on designing operator-facing interfaces for complex automation systems in Material Handling Systems (MHS) and Robotics. The role involves user research, prototyping, and collaboration with engineers to create a real-time visualization platform integrating robotic and MHE data. While the company uses ML, the core function is UX design for industrial automation, not direct AI/ML model development.

This role focuses on leveraging AI tools and modern automation frameworks to transform testing infrastructure by migrating manual test cases to automated solutions and building robust, multi-stage pipelines. The candidate will design and implement AI-powered frameworks, utilize generative AI and ML tools for test case acceleration, and build intelligent, adaptive test frameworks. The role also involves architecting CI/CD pipelines, implementing static analysis, designing device farm integration, and creating scalable testing infrastructure. Quality assurance aspects include developing functional test suites, UI consistency validation, performance testing, and visual regression testing. Technical leadership in driving testing strategy, collaborating with engineers, and mentoring team members is also expected.

This role focuses on building and deploying machine learning models for global demand forecasting in the context of Amazon Leo's satellite broadband initiative. The Data Scientist will integrate data from various sources, develop bandwidth usage models, and ensure seamless integration with capacity planning systems. They will also contribute to the technical roadmap and evaluate AI systems, with a focus on assessing GenAI model performance.

Software Development Engineer II for the FinTech Lyra (Liquidity, Risk and Applied AI) team. The role involves designing, developing, and owning scalable distributed systems for critical financial workflows, including risk engines. Collaboration with ML scientists, data scientists, and other stakeholders is key to translating business requirements into technical solutions. The team focuses on managing and optimizing liquidity needs and risk exposure, ensuring controllership and compliance.

Software Development Engineer II for the FinTech Lyra (Liquidity, Risk and Applied AI) team. The role involves designing, developing, and owning scalable distributed systems for critical financial workflows, including risk engines. Collaboration with ML scientists, data scientists, and other stakeholders is key to translating business requirements into technical solutions. The team focuses on managing and optimizing liquidity needs and risk exposure, ensuring controllership and compliance.

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.

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.

Software Development Engineer role focused on building and owning Tier 1 services for Amazon Ads' Sponsored Products and Brands. The role involves designing, developing, and maintaining highly available, scalable systems that determine ad eligibility and serve ads to millions of customers. It leverages generative AI technologies and involves working with numerous machine learning models within a low-latency, high-scale ad serving workflow.

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 involves performing quality audits and manual reviews of data processed by Data Associates to ensure high standards for AI development and training. It requires coaching Data Associates, identifying root causes of quality issues, and validating automated quality measurement systems. The role emphasizes attention to detail, analytical skills, and compliance with quality standards.

This role focuses on quality auditing for AI data services, involving manual review and validation of automated quality measurements to ensure high standards in data quality for AI development and training. It requires experience in ML/Data Labeling operations and understanding of data annotation and quality metrics.

This role focuses on quality auditing for AI data services, involving manual review and validation of automated quality measurements to ensure high standards in data quality for AI development and training. It requires experience in ML/Data Labeling operations and understanding of data annotation and quality metrics.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation on various data modalities (text, speech, audio, video). The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and suggest process improvements. This is a fixed-term contractual role.