Remote Machine Learning Engineer/Researcher

Description:

• Research, design, and develop data schema and normalization for third-party security data integration.
• Transform detection use cases and requirements into machine learning problems for security enhancements.
• Develop efficient machine learning algorithms for security detection, correlation, and investigation.
• Implement product features for security detection, correlation, and investigation.
• Create processes, tools, and metrics to monitor and evaluate detection efficacy for customers.

Requirements:

• Master’s or Ph.D. degree in Computer Science or related field with a focus on machine learning, deep learning, natural language processing, or artificial intelligence.
• Proven experience as a Machine Learning Engineer or Research Scientist with expertise in time series analysis, graph machine learning, and natural language processing.
• Familiarity 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 findings into practical solutions.
• Proficiency in Python for quick design and implementation of proof of concepts.
• Strong communication skills to convey complex ideas to technical and non-technical stakeholders.
• Preferred knowledge or experience in cybersecurity, security products, and open-source data models.

Benefits:

• Opportunity to work in a fast-growing Cybersecurity company.
• Contribute to enhancing cyberattack protection for organizations.
• Work with innovative Open XDR platform based on advanced ML and security technologies.
• Collaborate with talented cybersecurity team members.
• Competitive salary and benefits package.
• Continuous learning and professional development opportunities.