Cameron Raymond
Member Of Technical Staff at OpenAI
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolCameron Raymond is a research-focused engineer with eight years’ experience at the intersection of machine learning, computational social science, and safety-driven systems, currently a Member of Technical Staff at OpenAI working on safety reasoning and multimodal moderation. He blends rigorous academic training—a MSc in Social Data Science from Oxford and a dual BSc in Computer Science and Political Studies from Queen’s—with hands-on research roles at Stanford, Princeton, Toronto, and Stanford Law School, producing first-author work and an ICWSM paper. Cameron’s background spans causal inference, experimentation, computer vision, and novel behavioral models of online political communities, enabling him to translate social-science questions into scalable ML solutions. Based in San Francisco, he brings both product-minded trust & safety experience (joining OpenAI in the weeks before ChatGPT) and a researcher’s curiosity, often applying computational methods to governance and policy problems. An avid walker and interdisciplinary thinker, he has a knack for surfacing real-world risk signals from noisy social data.
8 years of coding experience
1 year of employment as a software developer
Master of Science (MSc) Social Data Science, Master of Science (MSc) Social Data Science at University of OxfordBachelor of Science (BSc) Computer Science Political Science, Bachelor of Science (BSc) Computer Science Political Science at Queen's University
Github Skills (15)
sapper9
parser9
bit8
axes8
markdown7
commonmark6
flutter5
traffic5
simulation5
compiler4
science4
reinforcement-learning3
pruning1
artificial-intelligence1
machine-learning1
Programming languages (4)
Github contributions (5)
CSSLab/political-subreddits
May 2020 - Jun 2021
Contributions:93 commits, 50 pushes, 1 branch in 1 year 1 month
ZaneLittle/Traffic-Light-Simulation
Nov 2019 - Dec 2019
A simulation of a set of traffic lights using reinforcement learning to help the flow of traffic
Contributions:33 commits, 22 pushes, 2 branches in 1 month
reinforcement-learninglightssimulationtrafficreinforcement
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