Amazon

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.

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.

The Data Scientist II role at Amazon Prime Video focuses on analyzing customer viewing data to provide business insights and optimize content selection. The role involves developing and deploying new ML models using various data types to understand and predict customer behavior, supporting business reporting, and translating insights into actionable recommendations. The position requires strong data science, ML, and statistical skills, with experience in SQL, Python, and ML modeling techniques. The candidate will work with large datasets and collaborate with research scientists and economists to improve optimization across tools.

This role focuses on building and operating AWS cloud infrastructure specifically for AI training and inference workloads. The Systems Development Engineer will design, deliver, and operate server solutions that enable high performance and scalability for AI/ML and HPC. The role involves creating automation through agentic workflows and implementing AI-driven tools, impacting both AI implementation and core architecture within the AWS Hardware Engineering team.

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.

Software Development Engineer role focused on integrating Generative AI and LLM capabilities into Alexa's audio experiences. The role involves designing and implementing software, creating infrastructure for LLMs in audio, developing tools to evaluate and improve model accuracy, reducing latency, and influencing operational excellence for audio services. It also includes mentoring junior engineers and contributing to hiring efforts.

Senior Software Development Engineer role focused on applying Automated Reasoning to verify Generative AI outputs, specifically addressing hallucinations within AWS services. The role involves designing and building new services and capabilities at scale, contributing to the evolution of the Automated Reasoning Checks (ARc) service, and making automated reasoning more accessible within AWS.

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 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.

Software Development Engineer Machine Learning role focused on improving video and audio streaming experience for smart home devices. The role involves optimizing ML/AI frameworks for real-time inference, optimizing training pipelines, analyzing model performance, and leveraging GenAI tools for development productivity. It requires experience with video/image processing, computer vision, machine learning, and cloud computing, with a focus on scalable services and distributed systems.

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.

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.

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 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.

Senior Applied Scientist role focused on developing and applying machine learning algorithms to solve business problems for vendors, enabling them to understand customers and identify growth opportunities. The role involves building orchestrated ML solutions, translating model outputs into actionable insights, measuring business impact, and leading cross-functional collaboration.

Senior Software Development Engineer role focused on building and scaling agentic AI applications powered by large language models for the Amazon Shopping experience. The role involves architecting, designing, and developing back-end systems and online services, including service orchestration, agent frameworks, and real-time processing. It also includes contributing to the technical roadmap, service reliability, and optimizations for intelligent agents that reason, plan, and execute tasks. The team aims to improve search using large-scale foundation models and empower conversational applications for online shopping.

Senior Software Development Engineer role in AWS Healthcare AI, focusing on building next-generation AI solutions for healthcare providers. The role involves designing and implementing distributed systems and AI-powered healthcare solutions, leveraging generative and agentic AI to improve clinical and administrative workflows.

Software Development Manager for Payment Risk Engineering at Amazon, focusing on automating country/payment/store launches and feature engineering for ML models in fraud evaluation. The role involves driving the adoption of Generative AI to accelerate fraud prevention capabilities, automate feature creation, and reduce manual onboarding efforts. It requires leading a technical team, setting vision for GenAI transformation, and empowering the team to stay at the forefront of AI technologies.

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.

This role focuses on ensuring the quality and reliability of AI model evaluations for Amazon's Seller Assistant copilot. The primary responsibilities involve benchmarking AI models, evaluating audits performed by a core auditing team, improving audit consistency, and enforcing quality standards. The goal is to scale AI model evaluation coverage and ensure high-quality outcomes for sellers.

This role focuses on ensuring the quality and reliability of AI model evaluations for Amazon's Seller Assistant copilot. The primary responsibilities involve benchmarking AI models, evaluating audits performed by a core auditing team, improving audit consistency, and enforcing quality standards. The goal is to scale AI model evaluation coverage and ensure high-quality outcomes for sellers.

This role focuses on ensuring the quality and reliability of AI model evaluations for Amazon's Seller Assistant copilot. The primary responsibilities involve benchmarking AI models, evaluating audits performed by a core auditing team, improving audit consistency, and enforcing quality standards. The goal is to scale AI model evaluation coverage and ensure high-quality outcomes for sellers.

This role focuses on ensuring the quality and reliability of AI model evaluations for Amazon's Seller Assistant copilot. The primary responsibilities involve benchmarking AI models, evaluating audits performed by a core auditing team, improving audit consistency, and enforcing quality standards. The goal is to scale AI model evaluation coverage and ensure high-quality outcomes for sellers.

This role focuses on developing and launching AI-based solutions for advertising, specifically in contextual targeting and ad syndication. The scientist will work with generative AI, computer vision, and large language models to maximize yield and deliver engaging ads. Responsibilities include partnering with Product and Engineering, driving end-to-end applied science projects, providing technical leadership, and researching new machine learning approaches.

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.

Software Development Engineer role focused on building and scaling core infrastructure for Alexa+, a next-generation generative AI-powered assistant. The role involves developing and maintaining key system features supporting LLM-based experiences, working on distributed systems with sub-ms latency, and establishing architectural principles.

Software Development Engineer role focused on building and scaling core infrastructure for Alexa+, a next-generation generative AI-powered assistant. The role involves developing and maintaining key system features supporting LLM-based experiences, working on distributed systems with sub-ms latency, and establishing architectural principles.

Software Development Engineer role focused on building and scaling core infrastructure for Alexa+, a next-generation generative AI-powered assistant. The role involves developing and maintaining key system features supporting LLM-based experiences, working on distributed systems with sub-ms latency, and establishing architectural principles.

Software Development Engineer role focused on building and scaling core infrastructure for Alexa+, a generative AI-powered assistant. The role involves developing and maintaining features for LLM-based experiences, working on distributed systems with sub-ms latency at Amazon scale, and establishing architectural principles.

Software Development Engineer focused on AI for Prime Video's personalization and discovery systems. The role involves developing AI solutions using deep learning, GenAI, and reinforcement learning, leading end-to-end delivery, conducting experiments, and publishing research. It's an engineering role with a strong research component, aiming to improve customer experience for millions of users.

Software Development Engineer focused on AI for Prime Video's personalization and discovery systems. The role involves developing AI solutions using deep learning, GenAI, and reinforcement learning, leading end-to-end delivery, conducting experiments, and publishing research. It's an engineering role with a strong research component, aiming to improve customer experience for millions of users.

Software Development Engineer role focused on developing AI solutions for Prime Video's personalization and discovery systems, utilizing deep learning, GenAI, and reinforcement learning. The role involves building and guiding ML models end-to-end, leading cross-team collaboration, and conducting experiments to evaluate solutions. It also includes mentoring junior engineers and staying updated with the latest modeling techniques.

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.

Senior Software Engineer on the Velocity team at Amazon, focusing on perception and localization for autonomous robots. The role involves developing ML capabilities and infrastructure for perception/localization, optimizing algorithm performance, and building frameworks for data replay, analysis, and resource management on embedded systems.

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.

Manager of AI Platform Engineering to lead a team building and operating data pipelines, models, and platform infrastructure for analytics, science, and AI initiatives. The role involves owning delivery and operational health, mentoring a team, and evolving self-service offerings towards agent-driven approaches. The team will build multi-agent solutions to automate data engineering and BI tasks, and develop/deploy agents for analytics use cases like monitoring and anomaly detection. Collaboration with business intelligence, applied science, and product teams is key.

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.

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.

This role focuses on developing and customizing ECAD applications for hardware engineering teams, with a significant emphasis on integrating AI/ML technologies to enable intelligent automation, design review, and design generation within traditional CAD workflows. The engineer will collaborate with AI/ML teams to integrate LLMs and machine learning capabilities, develop custom workflows, and support engineering tools.

Software Development Engineer Intern Machine Learning, Amazon Robotics. The role involves simplifying ML training infrastructure, extending monitoring of ML trainings, and potentially developing perception models for warehouse robots. It requires experience with AI, Neural Networks, Tensorflow, and PyTorch, and focuses on building scalable ML solutions within a robotics context.

The Sr. Technical Program Manager will lead the planning, execution, and launch of a transformation program focused on architectural transformation and infrastructure efficiency within Prime Video. This role requires a strong understanding of AI technologies, including LLMs, recommendation systems, and autonomous agents, to guide cross-functional teams in adopting and integrating AI solutions. The TPM will identify and mitigate risks associated with AI deployments, partner with leaders to align initiatives with objectives, and drive technical decisions to optimize performance and customer experience.

Senior Software Development Engineer role focused on developing advanced robotics systems at Amazon scale, integrating cutting-edge AI, control systems, and mechanical design for adaptable automation solutions. The role involves leading a team to design and implement a software framework for generalized dexterous mobile manipulation, including cloud and on-edge inferencing, real-time teleoperation, and human-machine interfaces.

Data Engineer role focused on building and operating data pipelines, models, and platform infrastructure for Ring's analytics, science, and AI initiatives. The role involves owning the data lifecycle and building multi-agent solutions to automate data engineering tasks, with contributions to the shared data platform.