Remote 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.