Micah Carroll

Member Of Technical Staff Research Scientist at OpenAI

San Francisco Bay Area United States
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Summary

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Rockstar
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Micah Carroll is a research-focused software engineer with 11 years of experience at the intersection of AI, human-AI coordination, and safety, now a Member of Technical Staff / Research Scientist at OpenAI. He helped build Overcooked-AI, a widely used benchmark for cooperative human-AI performance, and has published work on how deep RL agents fail to coordinate with humans. His background spans academic research stints at Cambridge and CHAI, an internship at Microsoft, and teaching roles at UC Berkeley, blending rigorous empirical work with engineering skills in test automation and reproducible benchmarks. Micah’s long-term focus is ensuring widespread AI benefits align with human values, and he brings a rare combination of hands-on QA/engineering experience and principled safety research.
code11 years of coding experience
job4 years of employment as a software developer
bookPhD Artificial Intelligence, PhD Artificial Intelligence at University of California, Berkeley
bookGraduated by completing the Esame Di Stato Classical and Ancient Studies, Graduated by completing the Esame Di Stato Classical and Ancient Studies at Liceo Classico ISIS Niccolini Palli, Livorno, Italy
languagesEnglish, Italian, Latin, Greek, German
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Github Skills (9)

unit-testing10
unit-test10
python10
test-automation10
reinforcement-learning9
machine-learning9
artificial-intelligence9
deep-learning9
pytorch9

Programming languages (6)

TypeScriptShellJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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A benchmark environment for fully cooperative human-AI performance.
Role in this project:
userQA Engineer / Test Automation Engineer
Contributions:68 reviews, 242 commits, 62 PRs in 3 years 7 months
Contributions summary:Micah implemented test files and test suites for the overcooked_ai environment, specifically focusing on agent behaviors and the OvercookedGridworld MDP. The commits demonstrate the creation of test cases for various agent types, including FixedPlanAgent, CoupledPlanningAgent, and GreedyHumanModel, and the testing of scenario-specific behaviors within the environment. The code changes include the addition of test fixtures, assertions, and the use of the unittest framework.
aiartificial-intelligencedeep-learningmachine-learningpytorch
Overcooked-AI Experiment Psiturk Demo (for MTurk experiments)
Contributions:16 commits, 4 PRs, 15 pushes in 10 months
aimturk
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