Ermo Wei
Staff Machine Learning Engineer at Moveworks
San Francisco, California, United States
Summary
👤
Senior🎓
Top SchoolErmo Wei is a Staff Machine Learning Engineer with 11 years of experience blending academic research and production ML, holding a PhD in Computer Science from George Mason University. After a PhD focused on reinforcement learning and multiagent/robotic systems, he spent seven years at Dropbox building recommendation systems, representation learning, large-scale experimentation tooling, and optimizing NLP models. More recently he led search and retrieval-augmented generation work before moving into a staff role at Moveworks, signaling a shift toward applied conversational and enterprise ML. Based in San Francisco, he combines deep RL intuition with practical systems engineering to deliver scalable, production-grade ML solutions. An early contributor to contextual bandits implementations during a Dropbox internship, he brings both research rigor and hands-on experience shipping models at scale.
12 years of coding experience
13 years of employment as a software developer
PKU schoolDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at George Mason UniversityBS, Software Engineering, BS, Software Engineering at Xiamen University
Chinese, English
Github Skills (16)
reinforcement-learning9
recurrent-neural-networks9
simulation9
imitation-learning9
deep-reinforcement-learning9
multi-agent8
algorithms8
pytorch8
openai-gym8
language-model7
lstm7
robocup6
temporal-difference6
deep-q-learning5
openai3
Programming languages (5)
Github contributions (5)
nosyndicate/pytorchrl
Sep 2017 - Jun 2018
Deep Reinforcement Learning algorithms implemented in PyTorch
Contributions:87 commits, 69 pushes, 5 branches in 9 months
deep-reinforcement-learningpytorchreinforcement-learninginverse-reinforcement-learningimitation-learning
nosyndicate/Notes
Aug 2014 - Nov 2017
Contributions:32 commits, 26 pushes in 3 years 4 months
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