Your role will be to bring expertise in statistical inference to a cross-disciplinary R&D team working on the boundary of statistical analysis, electronic design automation, and machine learning/AI. The candidate should have a PhD in computer science / applied mathematics or closely related field and the following preferred skills:

  • Demonstrated expertise in statistical inference : significance testing (p-value, confidence intervals), Monte Carlo methods (random sampling, density estimation), design of experiments, Bayesian statistics, variational Bayes.
  • Facility with classical methods of machine learning: regression (linear, logistic), regularization (ridge, lasso), classification (SVM, k-nearest neighbors), ensemble methods (decision trees, random forests, boosting, gradient boosting).


For additional details and the most recent updates, hit “Apply for job”