Amazon

Software Development Manager for GenAI Evaluation Media (GEM) team at Amazon, focusing on visual shopping experiences. The role involves leading a team to drive technical vision and execution of AI capabilities for generating and governing billions of visual assets at scale, ensuring quality and trustworthiness for customer purchase decisions. Requires strong technical expertise, business acumen, and leadership skills to partner with stakeholders, drive innovation, and maintain operational excellence.

Senior Technical Product Manager for advanced robotics systems, focusing on AI, control systems, and mechanical design for automation at scale. Requires deep robotics engineering expertise, including motion planning, control systems, computer vision, and machine learning, with experience in ROS, real-time OS, and embedded systems. Role involves translating technical requirements into roadmaps, evaluating tradeoffs, and driving product strategy for robotic manipulation, locomotion, and human-robot interaction.

Software Development Engineer role focused on building solutions for Sponsored Products and Brands, utilizing generative AI, machine learning, and high-scale low-latency systems to improve customer experiences off the Amazon store. The role involves designing and developing components, big data systems, and ML-based approaches in collaboration with scientists and economists.

This role focuses on applying advanced automated reasoning techniques, including SAT, SMT, symbolic simulation, and program analysis, to solve complex problems within AWS. The goal is to enhance privacy and sovereignty for AWS services, impacting business and customer outcomes through scientific innovation and strategic problem-solving.

Applied Scientist role at Amazon Ads focusing on generative AI for sponsored products and brands. The role involves developing and researching real-time ML algorithms for ad auctions and multi-objective optimization, aiming to improve customer experience and drive revenue. It requires end-to-end ML project ownership in a highly ambiguous and large-scale environment.

This role focuses on implementing end-to-end AI/ML and GenAI solutions for enterprise customers using AWS services. The consultant will design, deploy, and manage these solutions, focusing on MLOps and customer success throughout the project lifecycle.

Senior Delivery Consultant for AWS Professional Services focused on designing, implementing, and managing AI/ML and Generative AI solutions for enterprise customers. This role involves leading project teams, hands-on development, MLOps, and advising customers on cloud AI/ML architectures using AWS services.

Manager for a Data Science team focused on optimizing outbound communications for millions of customers using AI/ML, including LLMs and RL. The role involves leading the development of personalized messaging strategies, designing experiments, building propensity models, driving AI transformation in data accuracy and reporting, and owning financial planning frameworks. It also includes hiring, mentoring, and cross-functional partnership.

Software Development Engineer on the Sponsored Products and Brands Off-Search team, focused on building hyper-scale systems and data pipelines leveraging Generative AI and LLMs to improve advertising and shopping experiences. The role involves designing and delivering scalable solutions for ad retrieval, allocation, and recommendations, transforming these into personalized and contextually aware parts of the customer journey.

Applied Scientist II role focused on developing and implementing machine learning and causal inference models for Amazon's advertising incrementality measurement. The role involves end-to-end model development, improving existing solutions, and collaborating with product and engineering teams to bring solutions to production. The team builds scientifically-rigorous causal inference methodologies at scale to help customers understand the impact of advertising.

Applied Scientist role at Amazon Ads focused on developing and productionizing end-to-end measurement solutions using Generative AI, classical ML, Causal Inference, NLP, and Computer Vision to provide insights and automate workflows for advertisers.

Senior Applied Scientist role focused on developing and productionizing AI/ML models for ad measurement and performance analysis within Amazon Ads. The role involves end-to-end solution development, leveraging Generative AI, classical ML, NLP, and Computer Vision to provide insights and automate workflows for advertisers. Responsibilities include model development, experimentation, collaboration with engineering and business teams, and mentoring junior scientists.

Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale.

Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale.

Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale.

Software Development Engineer II role focused on building next-generation AI-powered pricing systems for Amazon's digital products. The role involves processing millions of prices daily using advanced AI models like LLMs and GenAI, working with AWS infrastructure, and designing distributed systems at scale.

Senior Applied Scientist role focused on developing and productionizing AI/ML models for ad measurement and performance analysis within Amazon Ads. The role involves end-to-end solution development, leveraging Generative AI, classical ML, NLP, and Computer Vision to provide insights and automate workflows for advertisers. Responsibilities include model development, experimentation, collaboration with engineering and business teams, and mentoring junior scientists.

Applied Scientist role focused on building production ML infrastructure for customer analytics, including offline training pipelines, online scoring systems, and monitoring. The role involves signal analysis, pattern discovery, and predictive modeling, with a focus on behavioral signals from AI agents and agentic workflows, aiming to ship AI-augmented customer experiences.

Senior Applied Scientist role focused on building and deploying ML models for customer analytics and segmentation within AWS. The role involves contributing to customer understanding through segmentation models, behavioral classifiers, and predictive frameworks, with a strong emphasis on taking models from research to production. It requires building production ML infrastructure, framing new modeling problems, and collaborating with engineering teams to integrate ML systems into the CLARA platform and other frameworks. The role also involves contributing to scientific direction, mentoring, and documentation, with a focus on shipping models at scale and adapting to evolving customer behaviors driven by AI and agentic workflows.

This role leads a multi-disciplinary team of applied scientists and engineers focused on developing and deploying generative AI technologies for Amazon's Sponsored Products and Brands. The team works on complex engineering, optimization, and user-experience problems to deliver relevant product ads, driving both shopper experience and business monetization. Responsibilities include leading ML projects, building and deploying models, running experiments, establishing scalable processes, and researching new ML approaches.

Applied Scientist role at Amazon Prime Video focusing on personalization and discovery science. The role involves developing AI solutions for search systems using deep learning, GenAI, and reinforcement learning, with end-to-end ownership from design to launch. It requires designing and conducting experiments, and publishing research findings. The team owns science solutions for search experience, including sourcing, relevance, and ranking.

Senior Software Development Engineer role focused on developing innovative solutions in brand measurement for Amazon Ads, leveraging generative AI and machine learning to optimize advertising performance and provide AI-driven insights to advertisers.

Software Development Manager for Prime Video Personalization and Discovery team, responsible for leading engineers in designing, implementing, and delivering large technology initiatives for AI-first personalization models at scale. Focuses on product ownership, user experience, and technical strategy for recommendation systems.

Senior Applied Scientist role focused on developing state-of-the-art measurement approaches and machine learning models for Amazon's digital advertising business, operating at Petabyte scale. The role involves designing and analyzing large-scale experiments, collaborating with engineering teams to productionize models, and establishing scalable processes for model development and validation. Requires expertise in experimental statistics, machine learning, or causal inference, with a focus on building sophisticated decision engines and measurement systems.

Applied Science Manager for Prime Video Personalization & Discovery, leading a team to develop and launch AI solutions for recommendation and personalization systems. Requires experience in deep learning, GenAI, RL, and recommendation systems, with a focus on end-to-end product ownership and team management.

The role focuses on improving ad selection within Amazon Ads using generative AI, LLMs, and ML optimization techniques. The primary goal is to enhance the customer shopping experience and drive revenue impact through online experimentation, ML modeling, and real-time ML solutions.

Applied Scientist II at Amazon Prime Video focused on building and launching end-to-end AI solutions for personalization and discovery systems, utilizing deep learning, GenAI, and reinforcement learning. The role involves designing and conducting experiments to evaluate solutions and requires a strong background in machine learning model development and application.

Senior Applied Scientist role focused on developing and deploying machine learning solutions for the gaming industry within AWS GameTech. The role involves full-stack data solutions, impacting game developers and player experiences through prediction, optimization, recommendation, and anti-cheat systems. Requires experience in building ML models, applied research, deep learning frameworks, and distributed systems, with a preference for AI product development at scale and RL/DRL experience.

This role focuses on applying and implementing existing ML solutions to improve global logistics and delivery experiences. The primary responsibility is to build and validate predictive models for delivery time estimation and identify delivery exceptions, directly impacting customer satisfaction and operational efficiency.

The Sr. TPM will own the technical execution and strategy for product data enrichment using Generative AI, foundation models, and multimodal LLMs. This role involves translating business requirements into technical specifications, coordinating development across multiple engineering teams, and ensuring seamless integration into AI training pipelines. The goal is to bring GenAI enrichment capabilities to production at global scale for Amazon's next-generation product data systems.

Software Development Engineer focused on building and scaling machine learning models for Prime Video recommendations, aiming to provide personalized content discovery for millions of customers.

Applied Scientist role focused on developing and implementing Generative AI solutions for Amazon's Sponsored Products and Brands advertising platform. The role involves building recommendation systems, designing new AI solutions, and driving the science vision to improve advertiser campaigns and shopper experiences. It requires end-to-end ownership from design to launch, including A/B testing and long-term strategic planning.

Machine Learning Software Development Engineer II for Amazon Robotics, focusing on Scanless Technologies. This role involves designing, developing, testing, and deploying software solutions that use machine learning and computer vision to automate fulfillment center operations, specifically by eliminating the need for manual scanning. The engineer will be a technical leader, solving complex problems and owning software performance, hardware integrations, and cost-optimal solutions.

Data Scientist role focused on designing and operating an experimentation platform for supply chain optimization. The role involves advancing causal inference methodology, building production-grade infrastructure, and developing supply chain emulation systems to evaluate policy changes. The work directly influences significant inventory investments and operational decisions, with opportunities for publication in top venues.

Data Scientist role focused on designing and operating an experimentation platform for supply chain optimization. The role involves advancing causal inference methodology, building production-grade infrastructure, and developing supply chain emulation systems to evaluate policy changes. The work directly influences significant inventory investments and operational decisions, with opportunities for publication in top venues.

Senior Software Development Engineer (SDE) on the Prime Video Personalization and Discovery team. This role focuses on building and evolving ML-driven systems for personalized recommendations and content discovery at scale for millions of Prime Video customers. The engineer will lead technical aspects, partner with stakeholders, and contribute to the strategic vision of the recommendation space.

Applied Scientist role at Amazon Prime Video focused on building machine learning systems for content presentation and discovery. The role involves working with multi-modal embeddings, contextualized ranking, reinforcement learning, and recommender systems to improve customer engagement with the Prime Video catalog.

Manager of Applied Science for Amazon Ads Measurement Science team, focusing on developing and leading a team to create solutions for performance measurement products. This includes leveraging Generative AI, classical ML, Causal Inference, NLP, and Computer Vision to measure ad spend impact, provide insights, and potentially develop agentic AI solutions for advertisers. The role involves managing scientists, defining strategy, and delivering scientific solutions.

Manager of Applied Science for Amazon Ads Measurement Science team, focusing on developing and leading a team to create solutions for performance measurement products. This includes leveraging Generative AI, classical ML, Causal Inference, NLP, and Computer Vision to measure ad spend impact, provide insights, and potentially develop agentic AI solutions for advertisers. The role involves managing scientists, defining strategy, and delivering scientific solutions.

Senior Applied Scientist role focused on applying AI/ML and GenAI to credit management, B2B financial services, and payments within Amazon. The role involves developing and deploying production models for credit and fraud management, enhancing product features, and leveraging alternative data. It requires experience with foundation models, agentic frameworks, and LLM-powered automation, with a strong emphasis on operational excellence and delivering customer value through AI-driven insights and automation.

This role focuses on developing and deploying machine learning and generative AI models for Amazon's Sponsored Products and Brands Ads, aiming to personalize advertising experiences and optimize the ad-serving process. It involves data analysis, model development, A/B testing, and research into new AI solutions, with a strong emphasis on productionizing these models for a large-scale consumer product.

Principal Product Manager, Technical for Amazon's Shopper Understanding and Response Prediction team. This role focuses on driving business growth by defining and executing strategies for personalized shopping experiences on Amazon Search and Product pages. It involves working with deep learning models, large-scale ML pipelines, and real-time serving infrastructure, leveraging GenAI to improve shopper understanding and prediction systems. The role requires close collaboration with engineers and applied scientists to deliver tailored shopping experiences and requires strategic vision, technical depth, and analytical rigor.

Senior Software Development Engineer for Prime Video's Machine Learning Platform team, focusing on recommendation systems and ML infrastructure. The role involves end-to-end ownership of product, user experience, design, and technology to deliver state-of-the-art entertainment experiences. Responsibilities include designing and building ML infrastructure, tackling complex problems, delivering scalable ML platform solutions, writing code, mentoring engineers, and influencing technical strategy.

This role focuses on developing advanced robotics systems that integrate AI, control systems, and mechanical design for automation. The scientist will design and implement whole-body control methods for balance, locomotion, and dexterous manipulation, utilizing state-of-the-art learned and model-based control methods, including imitation learning and reinforcement learning. The goal is to create robust, safe, real-time controllers for robots operating in dynamic environments and alongside humans.

Software Development Manager for Amazon Ads' Sponsored Products and Brands team, focusing on leveraging generative AI and ML to revolutionize advertising experiences. The role involves managing engineers, developing roadmaps for ML/GenAI solutions in ad retrieval, fostering cross-team collaboration, and hiring/developing talent. The team operates full-stack, from backend services to shopper-facing experiences, aiming to deliver personalized and context-aware advertising.

This role focuses on applying machine learning to video processing, understanding, and content monetization within AWS Elemental. The scientist will prototype, optimize, and deploy advanced models into production, collaborate with cross-functional teams, and develop scalable solutions. The role also involves mentoring, contributing to operational tooling, and potentially publishing applied research. The primary focus is on shipping AI-powered features and enhancements for video services.

Machine Learning Engineer role focused on designing, implementing, and scaling Generative AI solutions for enterprise customers on AWS. The role involves working directly with customers to understand their needs, select and fine-tune models, develop proof-of-concepts, and provide technical guidance throughout the project lifecycle. It emphasizes customer success and driving AI transformation.

This role focuses on building and deploying machine learning models to improve customer experience through personalized recommendations on Amazon's retail website. The scientist will leverage large-scale data and computing resources to understand customer behavior, develop state-of-the-art recommendation models, and measure their impact on the business.