Open Syllabus | Senior Machine Learning Engineer, Full Stack Software Engineer | Remote | Full-time | https://docs.opensyllabus.org/
Open Syllabus (OS) is a non-profit organization that collects and analyzes millions of university syllabi to support novel teaching and learning applications. Open Syllabus' first two applications - the Syllabus Explorer and Co-Assignment Galaxy - are recognized as major contributions to the open learning ecosystem. The project has been featured in The New York Times (twice), The Washington Post, Nature, Time, FiveThirtyEight, FastCompany, Lifehacker, and dozens of other publications and media.
To learn more about Open Syllabus, check out:
- Open Syllabus Explorer (https://opensyllabus.org/): Top-ranked books and articles in the corpus, sliced by author, field, university, publisher, and country
- Open Syllabus Galaxy (https://galaxy.opensyllabus.org/): Visualization of the book and article citation graph (node2vec -> UMAP)
- Dataset documentation (https://docs.opensyllabus.org/): Description of the underlying dataset, with details about the ETL and model inference pipeline
We're hiring for two roles to help us build tools to query and explore OS's 22-billion word corpus of syllabi:
Open Syllabus (OS) is a non-profit organization that collects and analyzes millions of university syllabi to support novel teaching and learning applications. Open Syllabus' first two applications - the Syllabus Explorer and Co-Assignment Galaxy - are recognized as major contributions to the open learning ecosystem. The project has been featured in The New York Times (twice), The Washington Post, Nature, Time, FiveThirtyEight, FastCompany, Lifehacker, and dozens of other publications and media.
To learn more about Open Syllabus, check out:
- Open Syllabus Explorer (https://opensyllabus.org/): Top-ranked books and articles in the corpus, sliced by author, field, university, publisher, and country
- Open Syllabus Galaxy (https://galaxy.opensyllabus.org/): Visualization of the book and article citation graph (node2vec -> UMAP)
- Dataset documentation (https://docs.opensyllabus.org/): Description of the underlying dataset, with details about the ETL and model inference pipeline
We're hiring for two roles to help us build tools to query and explore OS's 22-billion word corpus of syllabi:
- Senior Machine Learning Engineer (NLP, recommender systems) - https://docs.google.com/document/d/15lhJY9gzAmUe23WH3D8qKmaS...
- Full Stack Software Engineer https://docs.google.com/document/d/1A-xICUedIK6iG0t0Ji58XDe8...
Get in touch at [email protected]. Come help us build tools that help people learn things!