Machine Learning Engineer/Researcher
Stellar Cyber
Description
Stellar Cyber is a fast-growing Cybersecurity company focused on delivering holistic cyberattack protection to organizations while significantly reducing total costs of ownership with its innovative Open XDR (eXtended Detection and Response) platform based on advanced ML and security technologies. Stellar Cyber has been recognized by Gartner as one of the leading XDR players.
To accelerate our growth, we are seeking a talented and highly skilled Machine Learning Engineer / Researcher to join our cybersecurity team. As a Machine Learning Engineer / Researcher, you will be responsible for researching, designing, and developing data schema and normalization, and threat detections to enhance integration and security capabilities of Stellar Cyber’s Open XDR platform.
- Work with the data integration team to review and design data schema and normalization for integration of third-party security data.
- Work with the security team to transform detection use cases and requirements to data science or machine learning problems, and propose solutions based on integrated data.
- Research and design efficient machine learning algorithms based on security insights and data characteristics for security detection, correlation, and investigation.
- Design and implement product features for security detection, correlation, and investigation.
- Create necessary processes, tools, metrics to monitor and evaluate the efficacy of detections released to Stellar Cyber’s customers.