Job Description

This project provides a streamlined automation workflow which will act as an internal tool to improve the data validation/classification process for a detection system. The project is designed to accelerate the process of how we absorb and make better use of network traffic data coming from malware, either from a detection perspective or a data science perspective. It also helps reduce the load of researchers during the identification and classification process. Moreover, the project will build a base for a data retraining process which aims at improving detection and finding new variants of attacks.

RESPONSIBILITIES

• Help to streamline the automation workflow of our classification process in our malware detection system

• Build a base for a data retraining process that will improve detection and discovering variants in malware

Qualifications

• Knowledge of Information Security and Machine Learning

• C, C++, Python, Java programming development experience

• Experience with developing web systems/applications

• Experience with Amazon Web Services

• Strong problem solving, troubleshooting, and analysis skills

• Must be a continuing college or university student in good standing at an accredited institution pursuing an undergraduate degree

Additional Information

All your information will be kept confidential according to EEO guidelines.