Description:

Join a fast-growing global leader in cybersecurity, enhancing protection against sophisticated cyber threats using AI and automation.
Responsible for researching, designing, and developing data schema, normalization, and threat detections for Stellar Cyber’s Open XDR platform.

Requirements:

Master’s or Ph.D. in Computer Science or related field, focusing on machine learning, deep learning, or AI.
Proven experience as a Machine Learning Engineer or Research Scientist, with expertise in time series analysis, graph machine learning, and natural language processing.
Proficiency with tools and frameworks for building machine learning applications.
Strong understanding of machine learning algorithms, statistical models, and deep neural networks.
Excellent problem-solving skills and ability to translate research into practical solutions.
Strong engineering skills, including quick design and implementation of proof of concepts in Python.
Excellent communication skills for presenting complex ideas to diverse stakeholders.
(Preferred) Experience in cybersecurity, detection and response, threat hunting, and security products.
(Preferred) Knowledge of open-source data models like Elastic Common Schema and Open Cybersecurity Schema Framework.

Opportunity to be part of a fast-growing team with significant career growth potential.
Work in a culture built on diversity, openness, and collaboration, fostering creativity and innovation.

Skills