Amazon

Applied Scientist role focused on designing, implementing, and delivering machine learning models for Amazon's Japanese customer experience in areas like Search, Personalization, and Delivery. The role involves innovating new models, analyzing data, publishing research, and integrating solutions into production systems with a focus on both performance metrics and millisecond response times.

This role focuses on architecting and developing end-to-end solutions that leverage Generative AI technologies like Amazon Quick and Bedrock for customer success. It involves designing and implementing solution blueprints, integrating Gen AI capabilities into existing systems, and providing guidance on data preparation, model training, and deployment strategies. The role also includes customer updates and SFDC hygiene.

Sr. Applied Scientist role focused on developing AI prototypes and concepts for the JP Manga business, involving research, design, and training/tuning of NLP and Computer Vision models for applications like translation, summarization, extraction, boundary detection, image understanding, and generation. The role emphasizes tangible business impact and collaboration with product managers and engineers, with opportunities for publication.

The role involves evaluating and labeling various data types (text, audio, image, video) to improve AI quality and support AI development. It includes generating human judgment data, monitoring harmful content generated by AI, and managing data security. The role also focuses on quality control, proposing solutions for improvement, and supporting AI development by making appropriate judgments with incomplete information. Translation of guidelines is also a responsibility. The role requires native-level Chinese or Korean and business-level Japanese or English.

The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems.

The role involves performing quality audits on data submitted by Data Associates, validating automated quality measurement systems through manual reviews, and coaching Data Associates to maintain high standards of data quality for AI development and training. The primary focus is on data quality assurance for AI training.

Software Development Engineers at Amazon Japan Store Tech will design, develop, test, deploy, and maintain distributed software solutions. This role is focused on complex optimization problems within the Amazon Points Platform, which has expanded globally. The team uses AI agents for various aspects of software development and operations, including turning requirements into code changes, monitoring services, and triaging issues. Engineers will be both users and creators of these AI tools, working on platform problems at a worldwide scale.

The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems.

The role involves performing quality audits and manual reviews on data provided by Data Associates to ensure data quality for AI development and training. It also includes coaching Data Associates and validating automated quality measurement systems.

The role involves performing quality audits on data submitted by Data Associates, validating automated quality measurement systems through manual reviews, and coaching Data Associates to maintain high standards of data quality for AI development and training. The primary focus is on data quality assurance for AI training.

This role focuses on leveraging BI tools and AI technology to build an analytical foundation for optimizing last-mile operations. The Business Analyst will apply statistical knowledge, analyze data-driven processes, and provide insights for continuous improvement and operational excellence. Key responsibilities include designing data analysis projects, developing dashboards, conducting various statistical analyses, and automating processes with AI/ML tools.

The role involves data annotation and evaluation for AI development, focusing on Korean language data including text, voice, images, and videos. Responsibilities include generating high-quality human judgment data, monitoring harmful content from generative AI, ensuring data privacy and security, and contributing to quality control and improvement by identifying error patterns and proposing solutions. The role also includes translation of guidelines and supporting AI development with appropriate decision-making.

The Data Associate role at Amazon Japan is responsible for supporting AI development projects by evaluating and labeling various data types including text, speech, images, and videos. This role involves generating high-quality human judgment data, monitoring generative AI outputs for harmful content, and ensuring data privacy and security. The position is part of a new Chinese language team and requires strong language skills in Chinese and either Japanese or English, along with basic computer proficiency and teamwork abilities.

The Data Associate role at Amazon Japan focuses on supporting AI development by evaluating and labeling various data types (text, voice, image, video). Key responsibilities include generating high-quality human judgment data, monitoring harmful content from generative AI, and managing data privacy and security. The role also involves quality control, proposing improvements, and collaborating with the team. While no prior experience is required, a willingness to learn is valued. Fluency in Korean is essential, with proficiency in Japanese or English also required.

This role is for a Senior Strategic Supply Chain Manager in Amazon's Books organization. The primary focus is on optimizing supply chain strategies, including demand forecasting, ordering, and inventory management, to improve customer and vendor experience. While the role mentions leveraging machine learning models for automation, the core responsibilities are in supply chain management and optimization, not direct AI/ML development.

Software Development Engineer (SDE-I) role focused on optimizing delivery options for millions of Japanese customers on Amazon.co.jp. The role involves designing, developing, and maintaining distributed systems that handle high-throughput, low-latency decision-making in a complex logistics domain, with a focus on consolidation and shipment optimization to reduce costs while maintaining customer experience.

Software Development Engineers to innovate and automate Amazon JP Operations and beyond, focusing on supply chain and fulfillment optimization. Responsibilities include designing, developing, testing, deploying, and maintaining distributed software solutions across various technical stacks and domains, including web applications, backend services, cloud architecture, and machine learning.

The Controls Engineer will deploy and service data center building automation systems (BMS, EPMS) for AWS global infrastructure, ensuring data center health, managing vendors, and resolving operational issues. This role involves project delivery for upgrades and new builds, local servicing, and collaboration with various internal teams and external vendors.

The Controls Engineer will deploy and service data center building automation systems (BMS, EPMS) for AWS global infrastructure, ensuring data center health, managing vendors, and delivering projects for upgrades and new builds. This role involves collaborating with various internal teams and external vendors to maintain high standards of safety, security, and cost-efficiency.

This role is for a Controls Technician responsible for deploying and servicing control systems (BMS and EPMS) in AWS data centers. It involves installation, upgrades, troubleshooting, and ensuring the optimal performance and health of these critical systems. The role requires collaboration with various internal teams and vendors, project execution, and operational support.

This role is for a Controls Technician responsible for deploying and servicing control systems (BMS and EPMS) in AWS data centers. It involves installation, upgrades, troubleshooting, and ensuring the optimal performance and health of these critical systems. The role requires collaboration with various internal teams and vendors, project execution, and operational support.

This role is for a Controls Technician responsible for deploying and servicing control systems (BMS and EPMS) in AWS data centers. It involves installation, upgrades, troubleshooting, and ensuring the optimal performance and health of these critical systems. The role requires collaboration with various internal teams and vendors, project execution, and operational support.

This role is for a Controls Technician responsible for deploying and servicing control systems (BMS and EPMS) in AWS data centers. It involves installation, upgrades, troubleshooting, and ensuring the optimal performance and health of these critical systems. The role requires collaboration with various internal teams and vendors, project execution, and operational support.

Senior Business Intelligence Engineer role focused on designing and implementing data pipelines, automated reporting, and BI infrastructure using AWS and internal tools. The role involves owning analytics strategy, developing metrics frameworks, and mentoring junior team members within the AMXL Japan logistics network.

Delivery Practice Manager for AWS Professional Services, focusing on managing early-in-career talent (Associate Consultants) and leading them to deliver transformative IT projects for enterprise customers. Responsibilities include team building, strategic advisory, P&L management, business development, and ensuring on-time, within-budget project delivery.

Senior Business Intelligence Engineer role at Amazon's AMXL Japan, focusing on building and operating reports, dashboards, and applications to support a large e-commerce logistics business. The role involves setting strategic priorities, delivering BI solutions, ensuring engineering and operational excellence, defining metrics, and delivering BI solutions for complex problems. Requires experience in SQL, data extraction/transformation, statistical analysis, scripting (Python), and information retrieval/data science/machine learning/data mining.