Columbia University - Data Science Institute

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: - Compilation / program transformations - Probabilistic programming - Probabilistic ML - Bayesian / Causal inference - Program synthesis & analysis. You’ll work with me (http://www.zenna.org/) and the DSI, doing: - Language design & implementation - Optimizing / scaling research code - Algorithm development. Ideal attributes: - Strong programmer, especially Julia, Python, C++, ML-family - Comfortable digesting research e.g. from PLDI, POPL, NeurIPS or ICML. To apply, please write to zt2297@columbia.edu