Machine Learning Engineer/researcher

Engineering · Full-time · MS, United States of America · Remote possible

Job description

Join a fast-growing global leader in cybersecurity, trusted by some of the biggest names in the industry. Besides many enterprises and government agencies, nearly 30% of the world’s top MSSPs rely on our platform, and that number is growing every day as more companies recognize the value of next-generation security solutions. 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 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.


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