Amazon

The Applied Scientist role in AWS Automated Reasoning focuses on developing advanced solutions for automated reasoning, privacy, and sovereignty within AWS. This involves solving complex problems, designing and implementing solutions with long-term impact, and providing cross-organizational technical influence. The role requires deep knowledge in areas like SAT, SMT, mechanical theorem proving, symbolic simulation, and program analysis, with a Ph.D. and 4+ years of applied research experience.

Applied Scientist role focused on automated reasoning, privacy, and sovereignty within AWS. Requires a PhD and experience in areas like SAT, SMT, theorem proving, or program analysis. The role involves solving complex problems, designing and implementing solutions, and providing cross-organizational technical influence.

Applied Scientist role focused on building causal ML systems for Amazon's pricing decisions. The role emphasizes shipping production-quality pipelines with real business impact, bridging econometric analysis and ML pipelines. Responsibilities include designing, training, and deploying causal estimation models, owning causal ML methodology, supporting pricing experiment analysis, and connecting model outputs to business outcomes.

Software Development Engineer role focused on building AI-powered planning infrastructure for Amazon Ads. The role involves designing and delivering agentic skills, multi-step orchestration workflows, scalable APIs, and ML-informed optimization services. The tech stack includes TypeScript, Python, and AWS services.

AI Engineer role focused on deploying and productizing agentic AI models for automation at scale within Amazon Business EU. Responsibilities include developing AI agents, owning end-to-end deployment, establishing scalable ML processes, and contributing to customer-facing features.

Data Scientist II role focused on building LLM-powered financial forecasting and knowledge retrieval systems, including RAG, for Amazon's WW Ops FP&A team. Requires translating business ambiguity into production-grade AI solutions and influencing roadmaps.

Senior Product Manager to lead product strategy for cargo security and risk prevention within Amazon's global logistics network. The role involves building new products and evolving existing roadmaps to protect inventory, utilizing machine learning for real-time monitoring and predictive risk detection. This position requires defining product vision, driving cross-functional execution with engineering and data science, and scaling ML-powered solutions into production.

Senior Systems Development Engineer role focused on developing AI/ML systems, autonomous robotics, and agentic workflow automation for facility design and deployment within Amazon's global fulfillment network. The role involves identifying and implementing technical solutions, developing internal tooling, contributing to product roadmaps, and mentoring engineers, with a strong emphasis on AI and innovation.

Software Development Manager for Amazon Leo AI Foundations, responsible for designing, implementing, and operating globally distributed systems for a low Earth orbit satellite network. The role focuses on building near real-time analytics, a data lakehouse, and supporting agentic AI capabilities, including architecting a vector database with sub-100ms retrieval times and hybrid search strategies. The team builds the intelligent cloud backbone for AI-driven decision making across the Leo constellation, optimizing network performance and user experience.

This role focuses on building AI-powered analytics experiences, specifically conversational agents and prompt-driven interfaces using LLMs and generative AI, to provide proactive insights for Amazon's advertising supported publishers. The engineer will own the end-to-end insight lifecycle, from data modeling to executive recommendations, and mentor other engineers.

Software Development Engineer III on the Amazon Private Brands (APB) team, responsible for building and evolving the core platform capabilities for a shared data, workflow, and AI agent platform. This includes dynamic data management, task orchestration, and AI agent infrastructure built on Amazon Bedrock. The role involves full-stack development, influencing technical direction, and partnering with consuming teams to ensure platform scalability. The engineer will own and operate backend services, lead technical roadmap, drive architecture decisions, mentor junior engineers, and translate business requirements into technical solutions.

This role focuses on developing and deploying 1P audience segments for Amazon's EU marketing campaigns, using causal inference and machine learning to measure incremental lift and optimize marketing spend. The goal is to move beyond platform-led optimization to more personalized customer experiences, building reusable frameworks for scalable experimentation and informing future marketing strategies.

Software Development Manager leading a team to build next-generation offer diagnostic and insight capabilities, focusing on AI agents and autonomous shopping experiences within Amazon's large-scale catalog systems. The role involves defining the agentic diagnostic paradigm and owning critical Tier-1 aggregation services.

Technical Program Manager for AWS PACE team, focusing on accelerating AI innovation for customers by building Generative AI and Agentic AI prototypes. The role involves end-to-end ownership of customer engagements, partnering with architects and designers, and working with technologies like LLMs, RAG, and autonomous agents. The TPM will apply Amazon's Working Backwards methodology, manage risks, and ensure responsible AI practices and production readiness.

Robotics Engineer role focused on the design, deployment, and management of advanced robotic systems at scale within AWS data centers. The role involves developing robust robotic solutions, deploying them across multiple locations, and ensuring reliability, efficiency, and scalability. It requires collaboration with external partners and enterprise customers, and experience with vision language actuation models and shipping production code.

Data Scientist role focused on leveraging advanced analytics and machine learning to protect AWS cloud infrastructure from security threats. The role involves developing and deploying anomaly detection models, predictive algorithms, and real-time analysis systems, as well as building and expanding LLM agent pipelines. Key responsibilities include analyzing large-scale security data, creating automated systems for threat identification, building data pipelines, and translating analytical findings into actionable insights. Experience with Python, statistical analysis, and machine learning is essential, with a focus on using AWS technologies like SageMaker and EMR.

Principal Technical Program Manager for Amazon Ads Measurement Science team. This role will drive program execution for AI initiatives, including an Analyst Agent and a Customer Journey Model, working across Product, Science, and Engineering. The role involves planning, execution, and delivery of large-scale technical programs at the intersection of advertising technology, machine learning, and distributed systems.

Software Development Engineer role focused on building and optimizing AI/ML-driven optimization services and recommender systems for Amazon Sponsored Products, aiming to improve advertiser campaign performance and product discovery. The role involves designing scalable APIs, deploying ML algorithms, and optimizing models for high-throughput, low-latency production environments.

Senior Software Development Engineer on the Gravemind team within Amazon Security, focusing on leading the design and implementation of AI-powered security automation, including intelligent incident response and natural language-driven security workflows. The role involves owning architecture, mentoring engineers, and driving operational excellence for services supporting 24/7 security operations. It also includes building scalable data pipelines and analytics solutions.

Applied Scientist II role focused on building machine learning models and algorithms for the Last Mile Driver Experience team at Amazon. The role involves working with data streams like video and telematics, and applying ML in areas such as mapping, pattern detection, and computer vision to improve delivery operations. The scientist will drive designs from ideation to production, focusing on building v1 products and delivering results in an ambiguous environment.

Software Development Engineer II for the Conversational Ad Experiences (CAX) team within Amazon Ads, focusing on sponsored conversational shopping experiences powered by large language models (LLMs). The role involves designing and building net new conversational ad experiences on the Search page, integrating AI-driven solutions, and creating scalable systems for personalized ad experiences. This position requires building large-scale, low-latency distributed systems, ML infrastructure, data processing pipelines, and contributing to LLMOps, with a focus on customer-facing functionality impacting millions of shoppers.

Software Development Engineer II role focused on building foundational systems and consumer-facing features for trustworthy AI experiences at scale, emphasizing privacy-preserving AI architectures, responsible AI frameworks, and explainable AI systems for consumer devices like Alexa and Echo.

Lead a landmark Agentic AI-powered application modernisation program for a large mining and resources company, modernizing a complex legacy platform using generative & agentic AI tooling and cloud-native architecture. This role involves strategic leadership, executive stakeholder management, and orchestrating a cross-functional team to deliver value and build customer self-sufficiency.

Software Development Engineer to design, build, and operate production systems for Alexa's AI runtime, focusing on agent communication platforms, intelligent request routing, and unified agent ingress. The role involves building infrastructure for AI agents and transforming LLM outputs into real-time responses.

Software Development Engineer II on Amazon's Devices & Services Trust CX Innovations team, focusing on building responsible AI for consumer devices like Alexa and Echo. The role involves architecting hybrid AI systems (on-device vs. cloud), implementing privacy techniques (federated learning, differential privacy), developing AI evaluation frameworks, and building observability for AI performance and trust metrics. Key challenges include optimizing latency vs. privacy, reducing hallucinations, and ensuring privacy in ambient computing environments, with a focus on multimodal AI systems.

Software Development Engineer II on Amazon's Devices & Services Trust CX Innovations team, focusing on building responsible AI for consumer devices like Alexa and Echo. The role involves architecting hybrid AI systems (on-device vs. cloud), implementing privacy techniques (federated learning, differential privacy), developing AI evaluation frameworks, and building observability for AI performance and trust metrics. Key challenges include optimizing latency vs. privacy, reducing hallucinations, and ensuring privacy in ambient computing environments, with a focus on multimodal AI systems.

This role is for a Senior AI Solutions Architect at AWS, focusing on helping customers adopt and scale GenAI, ML, and Agentic technologies. The architect will build technical relationships, craft scalable architectures, provide recommendations on various aspects of cloud adoption, and act as the voice of the customer internally. Responsibilities include creating technical content, leading deep dives, and ensuring solutions are production-ready. The role requires hands-on experience with AWS AI services, implementing RAG, fine-tuning LLMs, and MLOps.

This role leads the design and deployment of a modern digital foundations architecture and enterprise AI platform for a large mining company. It involves scaling an AI platform to support 500+ concurrent agents, implementing an edge-to-cloud architecture across remote sites, and leading a team of engineers. The focus is on hardening the AI platform, enabling citizen development, and translating technical decisions into business outcomes.

Software Development Engineer focused on AI for Prime Video's personalization and discovery, developing and guiding machine learning models from scratch. The role involves using Deep learning, GenAI, and Reinforcement Learning for search systems, leading end-to-end AI solution delivery, and conducting A/B experiments. While research publication is encouraged, the primary focus is on engineering and delivering AI solutions for customer-facing products.

Software Development Engineer focused on AI for Prime Video's personalization and discovery, developing and guiding machine learning models from scratch. The role involves using Deep learning, GenAI, and Reinforcement Learning for search systems, leading end-to-end AI solution delivery, and conducting A/B experiments. While research publication is encouraged, the primary focus is on engineering and delivering AI solutions for customer-facing products.

Solutions Architect focused on designing and implementing AI/ML and agentic AI solutions for National Security customers, leveraging AWS services. The role involves customer engagement, technical thought leadership, architecture design, and influencing product development for classified environments.

Data Scientist role focused on building and deploying ML models for Amazon Sidewalk's IoT network. Responsibilities include developing coverage forecast models, analyzing network telemetry, creating geospatial models, designing anomaly detection systems, and researching Generative AI/LLM solutions for troubleshooting. The role involves productionizing models and working with data engineers and product managers.

Senior Software Development Engineer for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). The role involves driving major product and engineering initiatives, building large-scale, low-latency distributed systems, and developing ML infrastructure and data processing pipelines. The engineer will partner with scientists to implement LLM models in production and contribute to LLMOps, impacting customer-facing functionality for millions of shoppers.

Software Development Engineer to develop a multi-modal, multi-lingual web-scale information retrieval system combining LLMs with retrieval systems for question-answering, knowledge synthesis, and information grounding. Focus on building high-throughput data pipelines, optimizing core algorithms and ranking models, designing efficient data structures, optimizing performance/scalability/reliability, integrating ML models, developing control plane systems, and implementing real-time updates and streaming algorithms.

The Senior Product Manager, Technical (External Services) for AWS Startups will own the product strategy, roadmap, and external delivery of a new AI-powered startup guidance experience. This role involves defining and driving the product roadmap for an intelligent agent that leverages generative AI to provide personalized technical guidance, architecture recommendations, and growth insights to early-stage founders. The product will be delivered externally through AWS's startup portal and integrated into developer IDEs, requiring ownership of APIs, developer experiences, GTM, pricing, and operational excellence for a customer-facing AWS product.

Senior Applied Scientist role focused on developing core machine learning models for Full Funnel Campaigns in Amazon Advertising, aiming to understand and optimize shopping journeys across various ad products and publishers. Requires experience in building ML models for business applications and deep learning methods.

This role is for a Principal Solutions Architect focused on the Media, Entertainment, Games, and Sports (MEGS) vertical within AWS. The primary responsibility is to act as a strategic technical leader, driving long-term thought leadership, identifying high-value opportunities, and positioning AWS as a transformational partner for strategic customers. The role involves operating at the C-suite and VP level, advising senior technology leaders on cloud strategy and architecture, and designing scalable solutions for media, gaming, streaming, and sports workloads. A significant focus is on leveraging innovations in data patterns and AI, including Generative AI, to help customers re-imagine and transform existing systems. The role also involves evaluating new technologies, building reusable frameworks, and influencing AWS roadmaps based on customer needs. Experience with Data & AI technologies, including AI/ML and GenAI, is required, along with a strong background in cloud solutions architecture and customer-facing technical roles.

This role focuses on developing and applying advanced econometric and machine learning models for Amazon's advertising products. The primary responsibilities include designing and analyzing large-scale experiments, developing novel causal inference methodologies for attribution and incrementality measurement, inventing optimization frameworks for bidding and targeting strategies, and defining the science roadmap for ads measurement and optimization. The role also involves building structural and reduced-form models to quantify advertising impact on consumer behavior and partnering with engineering teams to operationalize these models into production systems. The position requires a PhD in a quantitative field, extensive industry experience, and proficiency in big data and machine learning.

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.

Software Development Engineer role focused on building autonomous agent systems for product lifecycle management, integrating tool use, memory, and reasoning. The role involves defining architecture and evaluation frameworks for agentic workflows, including orchestration, guardrails, and reliability mechanisms.

Senior Security Engineer for an AI Red Team, focusing on offensive security operations, research, and automation for AI systems and infrastructure. Responsibilities include conducting Red Team operations, performing security research on AI threats, discovering vulnerabilities, developing automated tools, and collaborating with engineering and research teams to improve AI security posture.

Solutions Developer role focused on building prototypes and customer-facing solutions using AWS services, with a strong emphasis on Machine Learning, Agentic Design, and Generative AI. The role involves rapid development, experimentation with new technologies, and translating business problems into technical solutions.

Senior Data Scientist for Amazon JP Seller Services, focusing on developing and scaling AI-native solutions, including recommendation models using generative AI and ML, to drive seller growth and optimize engagement strategies on Amazon Marketplace.

Product Manager to own the intersection of technology, partner experience, and operational strategy within DSP Capacity Planning. This role will build the team's AI product strategy from a blank canvas, own the roadmap for DSP-facing technology, and serve as the Voice of the DSP. The role requires a product leader who can drive alignment across engineering, science, operations, and business development.

Applied Scientist III role focused on designing, developing, evaluating, and deploying data-driven models and analytical solutions for ML and NL applications. This involves applying statistical modeling, optimization, and ML techniques, building and deploying models in production, and researching novel approaches. The role also includes mentoring junior staff.

This role focuses on building and refining Machine Learning and Generative AI models for the Ad Sales business, aiming to optimize workflows, provide insights, and drive efficiency for account teams. It involves conceptualizing research, guiding technical approaches, conducting data analysis, running A/B experiments, and working with engineers to deliver end-to-end solutions into production.

This role focuses on designing and implementing AI-powered automation solutions and machine learning models for logistics operations, aiming to enhance route planning, scheduling, and delivery execution. The analyst will leverage advanced SQL, Python/R, and AI technologies to create intelligent dashboards, predictive models, and automated reporting systems, working at the intersection of operations, analytics, and automation to drive efficiency and scale across the network.

This role focuses on leveraging AI and Agentic technologies to build data products, including autonomous agents, RAG pipelines, and multi-agent orchestration frameworks. The engineer will architect and develop scalable data solutions, build ETL pipelines, statistical models, and machine learning solutions, and partner with business owners to integrate generative AI and automation into programs. The role requires deep experience in SQL, data modeling, AWS data services, and hands-on experience with LLMs, Agentic Frameworks, and RAG architectures.