Ethan Rosenthal
Member Of Technical Staff at NYU Tandon, Finance & Risk Engineering Department
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolEthan Rosenthal is a machine learning engineer and engineering leader with 12 years of experience building production ML systems, from recommender engines and fraud detection to conversational AI. Currently a Member of Technical Staff at Runway and an adjunct professor teaching machine learning in financial engineering at NYU Tandon, he has led teams at Square to operationalize LLMs and chatbots that automate merchant communications. His background spans startups to large product teams—early technical hire at Dia&Co, staff AI roles at Square, and freelance consulting where he explored ML model monitoring—and he holds a PhD in Physics from Columbia. An active contributor to open-source recommender tooling (notably efficiency and robustness improvements to the PyTorch-based spotlight library), he combines research-grade rigor with pragmatic product delivery. Known for bridging deep technical work and mentorship, he brings both instrumentation-level experience from academic labs and hands-on ML systems engineering.
11 years of coding experience
15 years of employment as a software developer
PhD Physics, PhD Physics at Columbia UniversityBS Physics, BS Physics at James Madison University
Github Skills (7)
pytorch10
machine-learning10
deeplearning-ai10
deep-learning10
python10
recommender-system10
testing8
Programming languages (5)
Github contributions (5)
maciejkula/spotlight
Jul 2017 - Oct 2017
Deep recommender models using PyTorch.
Role in this project:
ML Engineer
ML EngineerContributions:11 commits, 4 PRs, 7 comments in 2 months
Contributions summary:Ethan primarily focused on enhancing the `spotlight` recommender system library by modifying and extending its factorization and sequence models. Their contributions included refactoring the optimizer argument, adding input checks for model initialization, and vectorizing negative sample prediction for efficiency. They also made modifications to tests, demonstrating involvement in quality assurance and validation of the implemented changes.
pytorchpythonrecommenderdeep-learningmachine-learning
EthanRosenthal/EthanRosenthal
Nov 2021 - Apr 2025
Public README
Contributions:3 PRs, 187 pushes, 5 branches in 3 years 5 months
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