Columbia University - Data Science Institute | Research Software Engineer | In-person + Remote
We're looking for someone eager to work at the cutting edge of research, helping to develop the next generation of causal and probabilistic programming languages.
Get in touch if you're passionate about any of:
- Compilation / program transformations
- Probabilistic programming
- Bayesian / Causal inference
- Machine learning
- Program synthesis &amp; analysis
You’ll work with me (<a href=") and the DSI, doing:
- Language design &amp; implementation
- Optimizing / scaling research code
- Algorithm development
Ideal attributes:
- Strong programmer. esp. Julia, Python, C++, ML-family
- Comfortable digesting research e.g. from PLDI, POPL, NeurIPS or ICML
To apply, please write to REDACTED_EMAIL