Security Machine Learning Engineer/ Researcher

Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. In addition to some of the world’s largest enterprises and government agencies, more than 30% of the world’s top MSSPs rely on our platform. We’re at the forefront of protecting organizations against sophisticated cyber threats using cutting-edge AI and automation technologies. Our culture is built on diversity, openness, and collaboration, fostering creativity and innovation that drives real impact in the market.

To accelerate our growth, we are seeking a highly skilled and experienced 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. If you are excited to be part of a very fast-growing team with lots of opportunities, Stellar Cyber is a great place to grow your career.

Responsibilities

• 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.