Amazon

Software Development Engineer II at Amazon on the Selection Monitoring team, responsible for processing billions of products to algorithmically identify and add new products to the Amazon catalog. The role involves applying ML/DL algorithms, building Information Retrieval systems, and working with large-scale distributed systems, Big Data, and AI technologies to improve product information, search, pricing, and delivery experience.

This role focuses on consulting with AGI-DS scientists to define and manage ML/Gen AI data collection requirements, optimize data annotation workflows, and ensure the quality of data used for model training. It involves managing global team improvement projects and acting as a trusted advisor for data solutions.

Software Development Engineer 2 role focused on data labeling services for AGI and Gen-AI models, including agentic models. The role involves developing and maintaining key features of the system, devising design approaches, prototyping, and working in an Agile environment to deliver high-quality software. The team provides full-cycle, high-quality data and services to power the AGI lifecycle.

Data Scientist role focused on designing and optimizing complex delivery networks using statistical and machine learning models, experiments, and simulations. The role involves owning the Data Science/ML roadmap, translating business challenges into mathematical models, and delivering scalable solutions.

This role focuses on designing and implementing scalable data science approaches, acquiring and analyzing data, and building statistical and machine learning models. It involves using SQL for data acquisition and ETL, and implementing models with considerations for computational demands, accuracy, and reliability.

This role leads a team responsible for end-to-end execution of data collections that improve General Intelligence models. It involves managing teams across multiple sites, driving business value through efficiency and agility, and having the technical acumen to handle challenging collections. The role also focuses on global program improvement initiatives, stakeholder coordination, monitoring collection health, and collaborating with product and technology teams.

Operations Manager for Amazon's Artificial General Intelligence Data Services team in London, focusing on managing and scaling data operations for AI/ML technologies, leading teams, and ensuring service delivery and performance targets are met.

Senior Applied Scientist role focused on developing and improving last-mile delivery optimization using algorithms and machine learning. The role involves designing, implementing, and evaluating solutions for large-scale optimization problems, particularly in vehicle routing, and contributing to network planning and analysis to improve efficiency and reduce costs in global fulfillment operations. Requires a strong background in optimization, algorithms, and data structures, with familiarity in ML techniques.

This internship focuses on data science, machine learning, and data mining, with an emphasis on developing, automating, and running analytical models. The intern will build tools for data analysis, error resolution, and present findings to business partners. Experience with large datasets and statistical grounding is expected.

The role involves foundational labeling functions for generative AI, including dialogue evaluation on speech, text, audio, video, and image data. The associate will deliver high-quality labeled data using in-house tools and guidelines, analyze root causes of errors, and propose solutions to enhance labeling quality. This role supports the development and deployment of large language models (LLMs) and AI responsibly.

This role focuses on providing strategic oversight and mentorship for human-in-the-loop and model-in-the-loop data pipelines used for LLM training and evaluations. The consultant will ensure data quality, champion knowledge sharing, and collaborate with AI teams to optimize data collection and model performance.

Data Scientist II for AWS Managed Operations Intelligence (MOI) team. Responsible for the end-to-end data science lifecycle, including data exploration, ETL, model development, and data visualization, leveraging various analytical and AI frameworks to solve complex business problems and drive data-driven transformation. Focuses on reducing operational load and toil through long-term engineering projects.

Data Science Manager role at Amazon PXT Central Science, focusing on leading a team to build structural and predictive models, leverage data science workflows, and drive innovations for customer impact. The role involves team management, technical direction, and strategic planning, with a focus on improving Amazon and the lives of Amazonians through economics, behavioral science, statistics, machine learning, and Generative AI.

Principal Economist role focused on developing economic and science products for the Fee domain, specializing in supply chain systems and fees. The role involves developing causal links, pricing strategies, and econometric models for a two-sided marketplace, partnering with various science and technology teams. Requires experience with big data and machine learning or data science.

This role involves foundational labeling functions for AI data, including dialogue evaluation across various modalities like speech, text, audio, video, and image. The associate will work with in-house tools to deliver high-quality labeled data, meet KPIs, and contribute to the responsible development of generative AI and LLMs at Amazon. Key responsibilities include maintaining confidentiality, analyzing root causes of errors, and suggesting process improvements.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

ML Data Associate I at Amazon responsible for annotation tasks for ML data processing across audio, image, video, and text files. The role involves collecting ground truth data, executing repetitive tasks with high quality, and adhering to productivity and quality targets.

This role focuses on foundational data labeling for AI models, specifically for Alexa's performance improvement. Responsibilities include data annotation across various modalities (text, speech, image, video), maintaining quality and confidentiality, and contributing to process improvements. The role requires strong analytical and problem-solving skills, attention to detail, and fluency in French and English.

The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, video data. The candidate will work with various data types, deliver high-quality labeled data using in-house tools, and analyze root causes to enhance labeling quality. This is a fixed-term contractual role for 12 months.

The role involves foundational labeling functions for generative AI, including dialogue evaluation on speech, text, audio, video, image data. The associate will deliver high-quality labeled data using guidelines and in-house tools, analyze root causes of errors, and propose solutions to enhance labeling quality. This is a fixed-term contractual role.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role focuses on foundational labeling functions for AI, including dialogue evaluation across various data modalities (text, speech, audio, image, video). It involves delivering high-quality labeled data, analyzing root causes of errors, and suggesting process improvements. The role is for a fixed-term contract of 12 months.

The role involves foundational labeling functions for generative AI and LLMs, including dialogue evaluation on speech, text, audio, image, and video data. The associate will maintain confidentiality, deliver high-quality labeled data using in-house tools, analyze root causes of errors, and propose solutions to enhance labeling quality and operational processes. The role requires strong analytical thinking, attention to detail, and the ability to interpret and implement detailed instructions.