Member Technical Staff - Machine Learning Engineering Agi Autonomy jobs at Amazon in United States, San Francisco
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United States
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San Francisco
118 jobs found
29.03.2025
A
Amazon Member Technical Staff - Reinforcement Learning AGI Autonomy United States, California, San Francisco
DESCRIPTIONKey job responsibilities Develop cutting edge multimodal Large Language Models (LLMs) to observe, model and derive insights from manual workflows for automation Design and execute experiments to evaluate the performance...
DESCRIPTIONKey job responsibilitiesYou will contribute directly to AI agent development in a research engineering role: running experiments, building tools to accelerate scientific workflows, and scaling up AI systems. You will...
DESCRIPTIONKey job responsibilitiesYou will contribute directly to AI agent development by developing industry leading tools for model training, evaluation, and other key research workflows. You will be hired as a...
DESCRIPTION*Due to federal contracts, this position requires that the candidate selected be a US Citizen.Key job responsibilities* Lead and manage a team that builds and maintains CMMC compliant infrastructure.* Establish...
DESCRIPTIONIn this role, your work will focus on creating scalable and efficient AI driven technologies that push the boundaries of information retrieval. You will work on a broad range of...
DESCRIPTIONKey job responsibilitiesYou will contribute directly to AI agent development by building and operating the frontend systems that power our research platform. You will be hired as a Member of...
DESCRIPTIONKey job responsibilities* Provide support of incoming tickets, including extensive troubleshooting tasks, with responsibilities covering multiple products, features and services* Work on operations and maintenance driven coding projects, primarily in...
DESCRIPTIONKey job responsibilities Develop cutting edge multimodal Large Language Models (LLMs) to observe, model and derive insights from manual workflows for automation Design and execute experiments to evaluate the performance...
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