Description:

We are looking for a passionate applied mathematics enthusiast to work in the field of post-Quantum Computing, you will be having exciting challenges, and we can promise that nothing will be boring in this Great opportunity to work with some of the best people in the industry. • End products are related to Security on TLS and HTTP. • Requires an excellent understanding of linear algebra. REQUIREMENTS: Understanding of machine learning and image processing, including topics such as: • Linear Regression and gradient descent algorithms • Decision trees • Random forest • Adaboost, XGBoost • K-Means Clustering • Neural Networks • Logistic Regression • Regularization • Histogram of Gradients and Scale-Invariant Feature Transforms (SIFT) • Linear Discriminant Model • Cross Validation • Principal Component Analysis Understanding of linear algebra, including topics such as: Tensors • 2.1. Tensors • 2.2. Norms • 2.3. Matrix decomposition • 2.4. Probability theory, such as Bayesian network and optimization • 2.5. Homoscedasticity and Heteroscedasticity • 2.6. Derivatives, Jacobian and Hessian matrices • 2.7. Covariance matrix • 2.8. Non-negative least squares • 2.9. Singular value decompositions • 2.10. Different types of distributions, e.g., gaussian, normal, etc. • 2.11. Deformation Gradients • 2.12. Gaussian Mixture Model Benefits

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