Security Machine Learning Engineer/ Researcher

Description: Join a fast-growing global leader in cybersecurity, enhancing security capabilities using AI and automation technologies. 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. Strong understanding of machine learning algorithms, statistical models, and deep neural networks. Proficient in Python for designing and implementing production-ready solutions. Excellent communication skills for presenting complex ideas to diverse stakeholders. (Preferred) Experience in cybersecurity, security products, and open-source data models like Elastic Common Schema. Benefits: Pre-IPO Stock Options Medical, Dental & Vision care 401(k) Employee Assistance Program Employee Discount Program Life Insurance Paid time off Referral Program Rewards and Recognition Program Base compensation range: USD 150,000-215,000 per year, including bonus and equity.