Applied Scientist II role focused on developing and deploying sophisticated AI solutions for Amazon's Strategic Account Services (SAS) organization, leveraging deep learning, LLMs, and advanced ML techniques to improve seller operations and internal consultancy. The role involves end-to-end development from research to production, including architecting recommendation and optimization systems, pioneering applications of foundation models, and conducting rigorous A/B experiments.

This role focuses on leveraging Gen AI and multi-agent systems to revolutionize hiring processes at Amazon. The Data Scientist will develop and deploy ML models for anomaly detection, root cause analysis, and candidate quality optimization, aiming to improve efficiency and reduce defect detection time. The role involves working with AWS infrastructure and designing experiments to evaluate system stability and attract top talent.

Senior Applied Scientist role focused on developing machine learning algorithms for high-scale recommendations problems within Prime Video. The role involves designing, prototyping, and integrating ML models into production systems, with a focus on generative AI and large models to reduce operational load and deliver personalized recommendations.

Software Development Engineer to build and improve a generative AI-powered shopping assistant (Rufus) for millions of Amazon customers, focusing on product research, comparisons, and recommendations.

The role is for a Senior Manager of Software Development focused on building next-generation Agentic security systems at Amazon. The position involves leading teams to create AI-powered security products from the ground up, working at the intersection of AI and security at a large scale. The manager will collaborate with security, engineering, and science leaders, and shape products that transform business security practices.

Applied Scientist role focused on building machine learning and optimization models for Amazon's large-scale transportation planning systems, including dynamic pricing and network planning. The role involves designing, building, and implementing scalable products and algorithms within production systems, with a focus on external freight and marketplace operations.

The role involves designing and implementing machine learning models for recommendation systems to improve Amazon's talent acquisition processes. It focuses on building ML products that match job seekers with opportunities and recruiters with talent, operating at a global scale. The work involves representation learning, reinforcement learning, and probabilistic modeling, with an emphasis on fairness and explainability.

The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, using synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, analyzing data, building tools for data creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with speech, text, and multimodal data is required.

The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, using synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, analyzing data, building tools for data creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with speech, text, and multimodal data is required.

The Language Engineer will develop diverse datasets for training and evaluating Amazon AI models, using synthetic data generation, model-supported generation, and human-in-the-loop methods. This role involves designing data collections, analyzing data, building tools for data creation, and collaborating with scientists and engineers to evaluate AI model performance. Experience with speech, text, and multimodal data is required.

MS or PhD student internship in machine learning, deep learning, generative AI, LLMs, speech technology, robotics, computer vision, optimization, operations research, quantum computing, automated reasoning, or formal methods. Focus on designing and implementing state-of-the-art solutions for complex problems, potentially leading to production deployment and publication.

This role focuses on building AI-powered prototype solutions, agents, and automations to improve marketer productivity within Amazon Ads Marketing. It involves transforming UX and marketing workflow ideas into working code using AI-assisted development tools, and shipping AI use cases from pilot to production. The role also involves evaluating AI tools and developing reusable prototyping methods and agent frameworks.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, and maintaining strict confidentiality. This role involves delivering high-quality labeled data using provided guidelines and in-house tools to support the development and deployment of AI responsibly. The associate will analyze root causes, identify error patterns, and propose solutions to enhance labeling quality and operational efficiency.

Software Development Engineer to build cloud services and tools that streamline firmware testing for Ring and Blink device software teams. The role involves integrating these services with firmware teams, including those building agentic workflows, and applying generative AI for test analysis and developer workflows.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, and maintaining strict confidentiality. This role involves delivering high-quality labeled data using provided guidelines and in-house tools to support the development and deployment of AI responsibly. The associate will analyze root causes, identify error patterns, and propose solutions to enhance labeling quality and operational efficiency.

This role is for a GenAI/ML Specialist Solutions Architect at AWS, focusing on driving the adoption of AWS GenAI/ML services for large enterprise customers in the UKI. The role involves providing deep technical expertise, designing solutions, acting as a trusted advisor, leading architectural reviews, and contributing to product feedback. It requires a strong understanding of Generative AI and Machine Learning services, enterprise-grade architectural strategies, and the ability to translate complex technical concepts into business value.

Security Engineer role focused on building and operating security logging pipelines and developing monitoring/detection capabilities for AI/ML workloads and AWS infrastructure at Amazon scale. The role involves programming, security frameworks, incident response, cloud security, and securing applications integrating LLMs/generative AI.

This role is for a Senior Solutions Architect focused on AWS security services, helping enterprise customers adopt and operationalize these services, particularly in the context of securing generative AI and agentic architectures. The role involves owning the technical relationship, architecting solutions, and providing feedback to product teams. While it touches on AI/agentic architectures, the core function is security service adoption and operationalization, not building AI models or systems themselves.

This role is for a Global Retirement Risk Manager at Amazon, focusing on identifying, assessing, mitigating, and monitoring risks within the company's global retirement programs. The individual will develop risk management strategies, frameworks, and governance structures, implement monitoring mechanisms, and manage risk reporting. While the core role is risk management, it involves using AI-powered analytics tools and generative AI applications for tasks like risk monitoring, predictive modeling, and dashboard development, making it AI-adjacent.

Solutions Architect for AWS in the UK, focusing on the Travel and Hospitality industry. This role involves working with customers to understand their needs, provide technical guidance on AWS technologies, drive innovation, and manage the technical relationship. The Solutions Architect will also act as the voice of the customer internally and create technical content and reference architectures, including for AI/ML use cases.

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.

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 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.

Operations Manager for Amazon's Artificial General Intelligence Data Services team in London, focusing on managing and scaling data operations for AI/ML technologies, leading teams, and ensuring service delivery and performance targets are met.

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.

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.

This role focuses on designing and implementing complex AWS solutions, with a specific emphasis on Data/AI programs and GenAI implementations including LLMs, RAG, and vector databases. The role involves acting as a trusted advisor to customers, leading technical teams, and ensuring successful cloud adoption and migration strategies.

This role focuses on foundational data labeling for AI models, specifically for Alexa's performance improvement. Responsibilities include data annotation across various modalities (text, speech, image, video), maintaining quality and confidentiality, and contributing to process improvements. The role requires strong analytical and problem-solving skills, attention to detail, and fluency in French and English.

This role focuses on designing, implementing, and supporting datasets and BI solutions to provide actionable insights and drive business results. It involves deep data analysis, experimentation design, and partnering with cross-functional teams to identify opportunities and measure innovation initiatives. The role requires strong SQL, Python, and data manipulation skills, along with experience in A/B testing and data visualization.

Technical Program Manager to lead adoption of application security processes and improvements across internal customer teams at Amazon. This role involves planning, organizing, and managing the project lifecycle, collaborating with internal customers and security teams, architecting scope of work documents, and guiding the evolution of internal security support solutions. The TPM will also define and implement best practices, own business proposals and metrics, and manage program risks.

Software Development Engineer role focused on building and maintaining large-scale data pipelines, signal collection systems, and analytics infrastructure for Amazon Ads Traffic Quality. The role involves designing, implementing, testing, and deploying production-level systems to identify and mitigate invalid traffic (IVT) and fraudulent engagement patterns in programmatic advertising. It emphasizes operational excellence, delivering high-quality code, and collaborating with cross-functional teams.

Reliability Engineer focused on Root Cause Analysis (RCA) and Failure Modes and Effects Analysis (FMEA) to identify and eliminate causes of failures, improve system reliability, and drive measurable improvements in uptime and performance. The role involves analyzing data, building dashboards, and collaborating with cross-functional teams to implement reliability improvements and enhance RCA/FMEA tools.

This role focuses on designing, building, and implementing security solutions within AWS customer environments, emphasizing automated, repeatable security controls and architectures. It involves working with infrastructure as code, cloud security services, and various security domains to ensure workloads are secure and scalable.

This role is a Senior Training Specialist for the AGI-DS organization at Amazon. The primary responsibility is to facilitate blended learning, manage training schedules, track completion through an LMS, and identify areas for improvement in training approaches. The role involves evaluating trainee performance, providing coaching, and publishing training reports. While the organization works with generative AI and LLMs, the role itself is focused on training delivery and L&D, not on building or researching AI models.

This role focuses on designing, building, and implementing security solutions in AWS customer environments, emphasizing infrastructure as code, automated controls, and security architecture. It involves partnering with customers on cloud transformations and acting as a technical advisor for security decisions and control implementation.

This role focuses on designing, building, and implementing security solutions in customer AWS environments, emphasizing infrastructure as code and automated security controls. It involves working with various AWS security services and partnering with customers to embed security into their cloud architecture.

Technical Program Manager to lead adoption of application security processes and improvements across internal customer teams at Amazon. This role involves planning, organizing, and managing the project lifecycle, collaborating with internal customers and security teams, architecting scope of work documents, and guiding the evolution of internal security support solutions. The TPM will also define and implement best practices, create business proposals and metrics, manage program risk, and foster a positive work environment.

This role is for a Delivery Consultant at Amazon Web Services (AWS) Professional Services in the UK. The consultant will work with customers to design, implement, and manage AWS solutions, focusing on cloud migration strategies and providing technical guidance throughout the project lifecycle. The role requires expertise in AWS services, cloud infrastructure assessment, and migration tooling, with a strong emphasis on customer advisory and project delivery.

This role focuses on designing, implementing, and managing AWS solutions for customers, acting as a trusted advisor and guiding them through their cloud adoption journey. It involves technical expertise in AWS services, data lake architecture, ETL/ELT pipelines, and data warehousing.

Data Engineer role focused on building a new mission-critical system for data protection within Amazon's Security Products group. The role involves creating reliable, scalable, and high-performance data pipelines and systems, with opportunities for innovation using machine learning techniques. While ML background is a nice-to-have, the core responsibilities are data engineering, ETL, and SQL.

This role is for a Principal ProServe Cloud Architect at Amazon Web Services (AWS) in London. The primary focus is on designing and implementing tailored cloud solutions for customers, acting as a trusted advisor and a key player in the sales process. Responsibilities include creating solution designs, providing technical guidance, collaborating with sales and delivery teams, and sharing knowledge within the organization. The role requires extensive experience in cloud architecture, solution implementation, and IT project management, with a strong emphasis on understanding customer business outcomes and translating technical concepts into business value. Experience with compliance and risk management is also a requirement.

This role is for a System Development Manager in Amazon's Catalog Engineering Service Support team. The primary focus is on managing a team of System Development Engineers to support and improve the systems that host and run Amazon's product catalog. Responsibilities include ensuring system availability, monitoring performance, driving operational efficiency, and leading projects. While the team works with technologies like Machine Learning, NLP, and Image Recognition, the role itself is focused on managing the support and operational aspects of these systems, not on developing or deploying AI models directly.

Software Development Engineer role focused on building innovative advertising products for Amazon Ads, involving full-stack development with React, TypeScript, Kotlin, and AWS. The role requires end-to-end ownership across the product lifecycle, from design to operational support, with a focus on scalability and customer impact.

This role focuses on designing and implementing AWS solutions for customers, particularly in application modernization. It involves technical guidance, requirement gathering, and acting as a trusted advisor on cloud technologies and migration strategies. The core responsibilities revolve around cloud architecture, implementation, and customer consulting within the AWS ecosystem.

This role focuses on Business Analytics and Business Intelligence for AWS Private Pricing deals, requiring technical skills, business acumen, and analytical background to provide performance reporting, insights, and decision support. Responsibilities include building analytical and forecasting models, creating dashboards, and implementing automation solutions.

This role is for a Data Center Operations Manager at Amazon Web Services (AWS) in London. The manager will be responsible for leading teams of technicians, maintaining and building data centers, optimizing operational processes, managing vendor relationships, and ensuring safety and security standards. The role requires strong people management skills, experience in IT environments, and knowledge of IT service management methodologies and financial budgeting.

Manages data center operations, including teams, maintenance, new builds, process improvement, vendor and internal team relations, and adherence to health and safety standards. Requires people management experience in an IT environment, knowledge of incident/problem/change management, and financial budgeting.

This role is for a Data Engineer focused on building and maintaining data foundations, designing and implementing scalable data architectures, creating reliable data pipelines, and establishing data standards. The role involves working with big data technologies and cloud computing to enable advanced analytics and machine learning capabilities.