Amazon

Senior Software Development Engineer focused on pre-silicon hardware/software co-development for next-generation machine learning chips (like Trainium) used in AWS. The role involves working with architecture, design, and emulation teams, writing bare-metal software and ML workloads to verify chip functionality and performance.

This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The goal is to support the development and responsible deployment of large language models and generative AI across Amazon's businesses.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data. This role involves delivering high-quality labeled data using in-house tools and guidelines to meet KPIs, analyzing root causes of errors, and proposing solutions to enhance labeling quality. The associate will also provide floor support and identify process improvements.

Software Development Engineer II on the Worldwide Returns and ReCommerce team at Amazon. This role involves designing, developing, and supporting large-scale distributed real-time systems. The team's mission is to reduce returns, minimize return costs, and prevent product waste. The role will leverage machine learning models for automation and signal optimization, and develop systems to manage the lifecycle of returned products.

Software Development Engineer II on the Worldwide Returns and ReCommerce team at Amazon. This role involves designing, developing, and supporting large-scale distributed real-time systems. The team's mission is to reduce returns, minimize return costs, and prevent product waste. The role will leverage machine learning models for automation and signal optimization, and develop systems to manage the lifecycle of returned products.

Software Development Engineer II role focused on building and scaling distributed real-time systems for Amazon's Worldwide Returns & ReCommerce operations. The role involves developing software to support complex business requirements, including training machine learning models for automation and optimization, and piloting product evaluations. Emphasis on Java, object-oriented design, and distributed databases.

Software Development Engineer II role focused on building and scaling distributed real-time systems for Amazon's Worldwide Returns & ReCommerce operations. The role involves developing software to support complex business requirements, including training machine learning models for automation and optimization, and piloting product evaluations. Emphasis on Java, object-oriented design, and distributed databases.

The role involves reviewing and tagging image/video content for machine learning models, acting as a human-as-sensor to support ML technology. It requires high attention to detail, speed, and accuracy in performing repetitive tasks to meet productivity and quality targets.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

This role supports ML model development by performing data annotation and assisting data scientists with classification algorithms. The focus is on ensuring high-quality annotated data for training and evaluation, and improving annotation processes.

Data Scientist role focused on building analytics and insights capabilities for Consumer Payments organization. This involves applying statistical and machine learning techniques to extract trends, identify anomalies, and develop scalable science solutions. The role requires collaboration with various stakeholders and a strong foundation in data querying and scripting languages.

Software Development Engineer II on the Worldwide Returns and ReCommerce team at Amazon. This role involves designing, developing, and supporting large-scale distributed real-time systems. The team's mission is to reduce returns, minimize return costs, and prevent product waste. The role will leverage machine learning models for automation and signal optimization, and develop systems to manage the lifecycle of returned products.

Software Development Engineer II on the Worldwide Returns and ReCommerce team at Amazon. This role involves designing, developing, and supporting large-scale distributed real-time systems. The team's mission is to reduce returns, minimize return costs, and prevent product waste. The role will leverage machine learning models for automation and signal optimization, and develop systems to manage the lifecycle of returned products.

The role involves foundational labeling of diverse data types (text, speech, audio, image, video) for generative AI and LLM development. Responsibilities include delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role requires strong attention to detail, analytical thinking, and adherence to strict confidentiality.

The role involves foundational labeling of diverse data types (text, speech, audio, image, video) for generative AI and LLM development. Responsibilities include delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role requires strong attention to detail, analytical thinking, and adherence to strict confidentiality.

Software Development Engineer role focused on expanding Amazon's product catalog using machine learning, deep learning, and information retrieval systems. The role involves designing and building scalable platforms for data processing, entity generation, and product/brand evaluation at a global scale.

Masters or PhD student internship in Data Science at Amazon, focusing on developing and implementing algorithms for scientific solutions, A/B testing, and estimating customer satisfaction. The role involves working closely with scientists and engineers on customer-obsessed research and creating scalable projects.

The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation and collaborating with product, technology, and science teams. The role requires proficiency in German and experience in data annotation for ML model training and evaluation.

This role is for a Sr. Principal Scientist focused on Stores Economics and Science at Amazon. The scientist will work with ML scientists to validate models, translate analysis into business actions, and manage data analysis and modeling. The team uses economics, statistics, and ML to understand Amazon's economy and aims to drive AI adoption across the company.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, and maintaining strict confidentiality. This role involves delivering high-quality labeled data using provided guidelines and in-house tools to support the development and deployment of AI responsibly. The associate will analyze root causes, identify error patterns, and propose solutions to enhance labeling quality and operational efficiency.

The AI Data Associate role focuses on foundational labeling functions for generative AI and LLMs, including dialogue evaluation across text, speech, audio, image, and video data. The role involves delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to improve labeling quality and processes. This position is crucial for the responsible development and deployment of AI at Amazon.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, and video data. This role involves working with diverse data types, delivering high-quality labeled data using in-house tools, and analyzing data to improve labeling tasks. The associate will also identify process issues and provide floor support.

This role focuses on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, video, and image data. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and identify process improvements. The goal is to support the development and responsible deployment of large language models and generative AI across Amazon's businesses.

This role focuses on developing and maintaining product knowledge ontologies and taxonomies for Amazon's e-commerce platform. The Ontologist will create semantically rich data models, ensure machine ingestion and inference capabilities, and leverage generative AI for schema creation. The goal is to optimize product discovery and customer experience by understanding customer intent and product data.

This role focuses on building and operating large-scale data processing systems that power catalog intelligence across Amazon. It involves applying machine learning and deep learning algorithms to evaluate and enrich product data, enabling data-backed decisions and improving customer experience. The role requires developing data processing pipelines, Information Retrieval (IR) systems, and handling diverse data streams at Amazon's global scale.

Software Engineer II role focused on building and operating large-scale data processing systems for Amazon's catalog intelligence. The role involves applying ML/DL algorithms, designing data pipelines, and ensuring data quality for business decisions. It emphasizes data engineering, real-time/batch processing, and distributed systems at cloud scale.

This role supports Machine Learning (ML) models and classification algorithm development by performing data annotation, ensuring high-quality annotated data for training and evaluation, and collaborating with product, technology, and science teams. The focus is on data preparation for ML models.

The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation, supporting data scientists, and ensuring high-quality annotated data for training and evaluation.

Intern role focused on foundational labeling functions for generative AI, including dialogue evaluation across text, speech, audio, image, and video data. The role involves delivering high-quality labeled data, analyzing error patterns, and proposing solutions to enhance labeling quality.

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.

Data Platform Engineer for Fauna Robotics, focused on building foundational data systems for robotics and ML development. This role involves designing and implementing infrastructure for data collection, storage, processing, and transformation from robot sensors, video, and logs, enabling ML training and fleet performance monitoring.

This role focuses on consulting with AGI-DS scientists on ML/Gen AI data collections, managing customer relationships, and driving business value through technical advisory. The Data Solutions Lead will transform research objectives into data collection requirements, coordinate delivery, and monitor collection health metrics.

The Catalog Specialist will support Machine Learning (ML) models and data science classification algorithm development by performing data annotation and labeling for ML model training and evaluation. This role collaborates with product, technology, and science teams to ensure high-quality annotated data and improve annotation processes.

This role focuses on owning the data science elements of various products, including data-based decision making, product performance optimization, and tracking. The Data Scientist III will work with product managers to drive product design and build planning, translate business problems into data requirements and metrics, and initiate the design, development, and implementation of scientific analysis projects. Responsibilities include owning analysis, modeling, system design, and development of data science solutions, as well as communicating results to the business and building consensus on data strategy.

This role involves building intelligence and analytical frameworks for customer growth in emerging markets, using data mining, statistical, and machine learning techniques. The Sr. BIE will drive the analytics roadmap, collaborate with stakeholders, and implement data flow solutions, with an "AI first mindset" for evolving business analytical requirements.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, video data, and maintaining strict confidentiality. This role involves delivering high-quality labeled data using provided guidelines and in-house tools to support the development and deployment of AI responsibly. The associate will analyze root causes, identify error patterns, and propose solutions to enhance labeling quality and operational efficiency.

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 is for a Software Development Manager on Amazon's Selection Monitoring team. The team uses AI/GenAI, machine learning, and deep learning algorithms to process billions of products from millions of sources to identify and add products to the Amazon catalog. The role involves leading a team to build and launch scalable services for data integration, entity resolution, and storage, focusing on improving product information, search, and discoverability. The manager will define technical vision, drive operational excellence, and manage the career growth of their team members, working with large-scale distributed systems and data processing.

This role focuses on leveraging econometrics and ML models to optimize advertising strategies, influence business decisions, and perform hands-on analysis with large datasets. The Economist will work closely with software engineers to productionize models and run A/B experiments, impacting millions of customers.

The AI Data Associate will be responsible for foundational labeling functions, including dialogue evaluation on speech, text, audio, and video data. This role involves working with diverse data types, delivering high-quality labeled data using in-house tools, and analyzing data to improve labeling tasks. The associate will also identify process issues and provide floor support.

The Sr. Technical Program Manager will lead strategy and execution for expert data collection to support LLM training and fine-tuning. This role involves defining strategy, streamlining processes, managing cross-functional teams, and influencing engineering to build data collection solutions. The focus is on improving the quality and efficiency of data procurement for AI models.

The AI Data Associate role focuses on foundational labeling functions for AI development, including dialogue evaluation on speech, text, audio, video, and image data. The role involves delivering high-quality labeled data using in-house tools and guidelines, analyzing root causes of errors, and proposing solutions to enhance labeling quality. This position is crucial for the responsible development and deployment of large language models (LLMs) and generative AI at Amazon.

This role focuses on the data science aspects of products, including decision making, performance optimization, and tracking. It involves working with product managers to define product design and data requirements, initiating and owning the design, development, and implementation of scientific analysis projects, and building statistical and machine learning models using large datasets. The role requires strong analytical skills, experience with scripting languages like Python, and effective communication with stakeholders.

Software Development Engineer role focused on building scalable systems for ad tech measurement and data science. The role involves managing large-scale streaming systems, applying machine learning and data science with Big Data technologies like Spark, and driving optimizations and insights within a privacy-safe environment. Emphasis on data engineering and scalable web services.

This role manages an engineering team responsible for building external-facing software capabilities to recruit, onboard, and manage a large crowd of external annotators who provide data for training and evaluating large language models. The focus is on the platform and processes for managing this crowd, which is a critical component of the data pipeline for AI model development.

Develops and maintains data models and ontologies for Amazon's product catalog, leveraging generative AI and semantic web technologies to enhance data retrieval and product discoverability. Analyzes metrics to optimize knowledge graphs and contributes to tool development.

The AI Data Associate role focuses on foundational labeling tasks for generative AI and LLMs, including dialogue evaluation across text, speech, audio, image, and video data. The role involves maintaining confidentiality, delivering high-quality labeled data using in-house tools, analyzing root causes of errors, and proposing solutions to improve labeling quality and operational processes. The goal is to support the development and responsible deployment of AI by providing essential data.