David Marx
Sr. ML Engineer Architect at CoreWeave
Seattle, Washington, United States
Summary
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Rockstar🎓
Top SchoolDavid Marx is a Senior ML Engineer and Architect with 13 years of experience building production-grade AI systems and tools that empower creatives and research teams. Based in Seattle, he has driven core engineering for Stable Diffusion’s inference API and DreamStudio, scaled research prototypes into global services, and currently architects ML infrastructure at CoreWeave. He authors and maintains popular open-source projects like PyTTI-Tools and has contributed cross-platform improvements to Stability AI’s SDK, reflecting a strong full-stack sensibility across Python and JS/TS ecosystems. His work spans generative and multimodal modeling, probabilistic ML, and practical performance optimizations that let complex models run on modest accelerators. Known for refactoring messy research code into modular, testable systems, he also builds UX-friendly tooling and documentation to broaden access for non-programmer artists. His background in math/statistics and diverse experience—from fraud detection at Amazon to NLP at Microsoft—gives him a rare mix of production engineering rigor and experimental research fluency.
13 years of coding experience
13 years of employment as a software developer
BA Philosophy, BA Philosophy at Pitzer CollegeMaster of Science (MS) Mathematics and Statistics, Master of Science (MS) Mathematics and Statistics at Georgetown University
Stackoverflow
8,370reputation
2.5mreached
161answers
16questions
sql
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oracle
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matplotlib
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python
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Github Skills (22)
python10
apidoc10
api10
protobuffer10
protobuf10
grpc10
r9
matplotlib9
develop9
kmeans9
9
sql9
merge9
oracle9
stable-diffusion8
Programming languages (15)
Github contributions (5)
Stability-AI/stability-sdk
Aug 2022 - Jan 2023
SDK for interacting with stability.ai APIs (e.g. stable diffusion inference)
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:8 releases, 93 reviews, 211 commits in 4 months
Contributions summary:David primarily contributed to the development and maintenance of the `stability-sdk` library. Their work included refactoring the demo Colab notebook, adding new features like init and masking image functionality, and updating setup configurations. Further contributions involved integrating the generation.proto file and precompiling stubs for JavaScript and TypeScript to enhance the usability of the SDK across different platforms.
ai-artgenerative-artinferencemultimodalmachine-learning
dmarx/anthology-of-modern-ml
Jul 2021 - Nov 2022
Collection of important articles to be treated as a textbook
Contributions:254 commits, 247 pushes, 3 branches in 1 year 3 months
importanttextbookmachine-learning
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