Amazon

This role focuses on applying and researching novel machine learning approaches, particularly deep learning methods for multi-objective optimization, to develop real-time algorithms for allocating billions of ads daily in advertising auctions. The work involves end-to-end ML projects with ambiguity and scale, aiming to improve customer experience and drive revenue. The role also involves recruiting and mentoring scientists.

Applied Scientist role at Amazon Ads focusing on generative AI for sponsored products, developing real-time ML algorithms for ad allocation and multi-objective optimization. The role involves end-to-end ML projects with ambiguity and scale, aiming to improve customer experience and drive revenue. It also includes researching new ML approaches and potentially recruiting/mentoring scientists.

Applied Scientist II role focused on leveraging GenAI/LLMs to build agentic solutions for financial insights and actions within Amazon. The role involves developing AI trust and safety in the financial domain, creating training/evaluation datasets for fine-tuning, and collaborating with engineers for productionalization. It balances scientific research with production deployment, with opportunities for external publications.

Sr. Applied Scientist role focused on developing and implementing AI/ML solutions to improve the Amazon Selling Partner experience. This involves building scalable models, analyzing data, and staying current with LLM, RL, and agent-based AI research to translate findings into practical applications. The role requires strong ownership of the full project lifecycle and collaboration with business and engineering teams.

Software Development Engineer role focused on building core functionality for AWS Internet Monitoring service, leveraging Generative AI techniques for network monitoring, traffic engineering, and autonomous systems. The role involves designing, developing, and deploying AI-integrated software systems, collaborating with cross-functional teams, and ensuring operational excellence.

Senior Solutions Architect for AWS, focusing on Agentic AI and AI-assisted software development for a major European telecommunications group. The role involves owning the end-to-end technical relationship, designing scalable and secure architectures, and influencing strategic technology decisions at CxO/VP level, while navigating complex sovereignty and compliance requirements.

Senior Software Engineer role focused on driving technical strategy and architecture for robotic software systems, including perception, navigation, motor control, reasoning, and human-robot interaction. The role involves end-to-end delivery of complex systems, leading collaboration across research and ML teams, defining technical roadmaps, and developing production-level SDKs. The team is building robots for everyday life, aiming to make robotics development more accessible and intuitive.

This role focuses on developing and scaling credit strategies for new marketplace launches within Amazon Business Payments & Lending. It involves partnering with Science teams to innovate with AI/ML for automated credit decisioning, defining product features, and managing portfolio performance. The role requires a blend of product management, data analytics, and strategic thinking to build and grow a financial services business.

Security Engineer focused on threat detection using ML and generative AI to build and improve detection capabilities at scale for Amazon's network.

Applied Science Manager to lead a team building and scaling a prompt generation pipeline for a conversational ad format powered by LLMs. The role involves developing prompt themes, quality frameworks, and driving coverage expansion, with a focus on personalization and experimentation to improve key metrics. Requires strong technical depth in NLP, LLMs, and information retrieval, along with management experience and the ability to influence product strategy.

Applied Scientist role focused on building GenAI-powered data solutions, agentic systems for quality issue detection, and ranking/recommendation models for e-commerce. The role involves designing, developing, testing, and deploying scalable ML solutions, working with state-of-the-art models like LLMs and image-to-text.

This role focuses on implementing and scaling Generative AI solutions for AWS customers, acting as a consultant to design, train, fine-tune, and deploy bespoke AI applications. It involves working with customers to identify use cases, navigate technical challenges, and ensure responsible and cost-efficient AI implementation.

The role focuses on building ML systems with a causal modeling foundation for AWS sales optimization, designing seller incentive mechanisms, and developing intervention strategies. It involves developing rigorous causal measurement and modeling frameworks, designing programs and incentives, and building ML-based recommendation systems.

Software Development Engineer II focused on building AI-powered solutions using LLMs to transform Amazon's Seller Support experience by developing scalable services for a next-generation support platform.

This role focuses on guiding enterprise customers in adopting and scaling GenAI/ML and Agentic technologies on AWS. The Specialist Solutions Architect will act as a trusted advisor, designing technical architectures, providing recommendations on various aspects of cloud services, and influencing the roadmap of AWS GenAI/ML and Agentic features. The role involves creating and sharing best practices, technical content, and reference architectures, as well as evangelizing AWS technology through various channels.

Software Development Engineer role focused on building intelligent, closed-loop decision systems for Amazon Robotics. This involves designing and building agentic AI systems that combine machine learning, real-time data processing, and LLM-driven reasoning to automate operational decision-making in robotic workflows. The role also includes developing end-to-end decision systems, scalable architectures on AWS, ML models, data pipelines, and implementing observability and evaluation frameworks. Collaboration with cross-functional teams and end-to-end ownership of production systems are key aspects.

This role focuses on strategizing and implementing AI solutions, specifically agentic AI, for enterprise clients within AWS Professional Services. The strategist will facilitate discussions, design implementation strategies, develop innovative frameworks, and collaborate with teams to create integrated AI approaches, aiming to transform consulting delivery and drive customer value through AI.

Senior Software Engineer for Amazon Robotics Autonomous Mobility team, focusing on perception and localization software for warehouse robots. Responsibilities include developing ML capabilities, sensor fusion, SLAM, and optimizing performance. Requires strong software development and leadership experience, with preferred experience in robotics ML, C++, Python, ROS, and CUDA.

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.

Principal Product Manager, Technical for AWS Healthcare AI, focusing on building and launching Agentic AI powered solutions for healthcare customers. The role involves defining product strategy, roadmap, GTM plans, and driving adoption and revenue for production services. Requires strong technical product management skills and business acumen within the AI/ML space.

Software Development Engineer focused on building and scaling real-time agentic AI systems for Alexa's communication features, involving design, architecture, and full-stack development.

Software Development Engineer role focused on building agentic APIs and integrating advanced AI technologies (Generative, Agentic, Real-time AI) into Alexa's communication features. The role involves influencing product strategy, optimizing for low latency and scalability, and ensuring high-quality software delivery within an Agile environment.

Senior Software Development Engineer role focused on building agentic APIs and cloud services for Alexa Connections, leveraging Generative, Agentic, and Real-time AI to enhance conversational experiences. The role involves influencing product strategy, optimizing software for performance, and leading integration of AI systems.

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.

AWS Solutions Architect role focused on prototyping with Agentic AI, Machine Learning, Deep Learning, Generative IA, IoT, and Serverless Architectures. The role involves architecting and developing solutions to demonstrate the art of the possible to customers, with a focus on rapid, time-boxed prototyping engagements.

Senior Software Engineer to lead a team building the operational backbone of a satellite laser communication network. The role involves architecting and delivering mission-critical tools and services for network operations, including systems that leverage machine learning and generative AI for anomaly detection, root cause analysis, and impact prediction. The engineer will also lead automation initiatives, collaborate with cross-functional teams, and mentor junior engineers.

The Senior Applied Scientist will build AI-based services for Amazon Q Developer, focusing on redefining developer work. This role involves building AI agents and machine learning models, working closely with software engineers to deliver end-to-end modeling solutions, and driving discussions with customers and peers on modeling approaches. The work is expected to require scientific breakthroughs in ambiguous problem areas.

This role focuses on building causal predictive models that go beyond traditional forecasting, integrating modern machine learning techniques like LLMs and computer vision to understand and predict workforce outcomes. The scientist will write production-quality code for implementation into decision-making tools, bridging causal rigor with ML innovation.

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.

Senior Delivery Consultant (GenAI FullStack SDE) at AWS Professional Services, focusing on building end-to-end Generative AI applications for enterprise customers. The role involves full-stack development, designing and implementing AI agent architectures, and leveraging AI-powered development tools. The primary focus is on delivering solutions using AWS services, with a secondary emphasis on the underlying inference infrastructure.

Product Manager for Alexa Connections, focusing on leveraging Generative AI and LLMs to build messaging experiences where Alexa acts as an agent for customers. The role involves working at the intersection of LLMs, real-time communications, voice/graphical UIs, and mixed reality to deliver delightful features.

Software Development Engineer role focused on building agentic APIs and integrating advanced AI technologies (Generative, Agentic, Real-time AI) into Alexa's communication features. The role involves influencing product strategy, optimizing for low latency and scalability, and ensuring high-quality software delivery within an Agile environment.

Software Development Engineer role focused on building agentic APIs and integrating advanced AI systems (Generative, Agentic, Real-time AI) into Alexa's communication features, aiming for low latency, high reliability, and scalability.

This role focuses on developing and deploying machine learning models for communication experiences within Alexa. Responsibilities include end-to-end model development, experimentation, and leveraging LLMs to build applications, aiming to improve customer engagement and product performance.

Applied Scientist II role focused on enhancing book reading and discovery experiences at Amazon by building models and/or agentic systems. Responsibilities include research, design, implementation, and delivery of novel solutions, collaborating with cross-functional teams, and writing production-ready code. Requires experience in programming languages and SQL, with a preference for publications at top-tier conferences.

Software Development Engineer II on the Customer Service Application Security team at Amazon. This role focuses on building innovative security solutions using Generative AI and LLMs to automate security processes, improve security posture, and increase developer productivity. The engineer will architect and develop native AWS solutions, including prompt engineering, security frameworks, and threat detection mechanisms, to create paved path solutions for developers.

Lead a team building and scaling AI-powered compliance automation solutions using ML and LLMs for document processing at Amazon scale. Focus on driving technical strategy, developing advanced systems, and managing engineering and science teams.

This role is for a Security Engineering Manager within Amazon's AGI organization, focusing on securing Generative AI technologies. The manager will lead a team of security engineers and technical program managers to address novel security challenges like prompt injection, model poisoning, and data leakage. Key responsibilities include setting strategic direction for GenAI security processes, influencing stakeholders, developing team culture, and driving the adoption of GenAI-specific security practices and tooling. The role requires staying current with emerging GenAI security threats and mentoring team members.

This role focuses on accelerating customer adoption of AI/Agentic applications by helping them build and scale solutions using AWS services like Amazon Bedrock and Frontier Agents. The Principal DevAx Solutions Architect acts as a trusted advisor, guiding customers through the full AI development lifecycle and influencing AWS service roadmaps based on customer needs and market trends.

Software Development Engineer Intern role focused on building AI-powered features for the OpenSearch platform. Responsibilities include developing code, designing distributed systems, and applying AI/ML techniques to enhance search relevancy and performance. The role involves contributing to an agent framework for intelligent data analysis and optimizing user interactions, with a secondary focus on the underlying inference systems.

Software Development Engineer role focused on designing, developing, and deploying full-stack robotic planning, tracking, and workcell solutions using AWS and AI-driven sortation optimization. The role involves building software for sortation at scale, improving safety, and optimizing package flow and fleet orchestration through ML-powered algorithms and intelligent systems.

Software Development Engineer role focused on building core cloud services for Amazon's Sidewalk network, with a significant emphasis on developing and integrating generative AI solutions to enhance operational efficiency, automate debugging, improve testing, and generate documentation. The role also involves building AI-powered support systems for device behavior analysis and triage, creating AI-assisted development tools, and designing AI-driven analytics for service health monitoring.

Principal Software Development Engineer to architect and drive technical strategy for regulatory compliance and product safety, leading AI-powered initiatives to automate compliance workflows at massive scale. The role involves leading Zero-Touch Compliance, Unified Content Processing Pipeline, and Compliance Assist (conversational AI agents).

This role leads strategic programs for Amazon Ads' AI infrastructure core services that accelerate agentic AI development. The TPM will define and execute the agentic AI core infra product roadmap, drive agent builder adoption, and ensure the core services scale to support multi-agent workflows and production-grade reliability for advertiser-facing and internal agents.

Software Development Engineer II role focused on building AI-powered systems for compliance and safety in e-commerce, integrating generative AI with traditional software engineering. The role involves developing AI systems for product safety assessment, catalog management, and seller safety, requiring experience in AI model deployment and scalable architectures.

Applied Scientist II on the Amazon Books team focused on enhancing reading and discovery experiences by building and delivering AI models or agentic systems. Responsibilities include research, design, implementation, and collaboration with engineering teams to productionize solutions. Requires experience in building models, programming, and a strong understanding of algorithms and data structures.

Software Development Manager leading a team to build and deliver core infrastructure components for AI agents in Amazon Ads. This includes an agent-builder SDK, development tools, and a managed runtime, focusing on scalability, low-latency, and integration with Ads services and foundational models. The role bridges distributed systems, ML infrastructure, and developer tooling.

Senior Data Engineer role focused on building and maintaining data infrastructure for AI-powered insights within Amazon's Fulfillment by Amazon (FBA) division. The role involves architecting data lakes, migrating architectures, establishing metadata management, designing data ingestion patterns, creating a centralized metrics repository, implementing data quality frameworks, designing semantic data models optimized for AI retrieval, developing intelligent orchestration, implementing federated query capabilities, architecting vector database infrastructure, integrating AI-accessible data contracts, and building monitoring frameworks. The position emphasizes the intersection of data engineering and AI, ensuring trustworthy, fast, and scalable GenAI insights.