
Security Machine Learning Engineer/Researcher
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Taiwan.
• Collaborate with the data integration team to assess and design data schemas and normalization processes for the integration of third-party security data.
• Partner with the security team to convert detection use cases and requirements into data science or machine learning challenges, and suggest solutions utilizing integrated data.
• Investigate and develop efficient machine learning algorithms based on security insights and data characteristics to enhance security detection, correlation, and investigation.
• Create and implement product features aimed at security detection, correlation, and investigative processes.
• Establish necessary processes, tools, and metrics to monitor and assess the effectiveness of detections deployed to Stellar Cyber’s customers.
• A master's or Ph.D. degree in Computer Science or a related discipline, emphasizing machine learning, deep learning, natural language processing, and/or artificial intelligence in general.
• Demonstrated experience in roles such as Machine Learning Engineer, Research Scientist, or similar positions, particularly in areas related to time series analysis, graph machine learning, natural language processing, and other relevant machine learning fields.
• Familiarity with tools and frameworks for developing machine learning applications.
• Profound understanding of machine learning algorithms, statistical models, and deep neural networks.
• Strong problem-solving abilities, particularly the talent for translating research insights into practical applications.
• A robust engineering mindset and skills, including the capability for rapid design and implementation of proof-of-concept solutions in Python, as well as crafting production-ready implementations.
• Exceptional communication skills, both written and verbal, with the capacity to convey complex concepts to both technical and non-technical audiences.
• (Preferred) Previous knowledge and/or experience in the field of cybersecurity, covering aspects such as detection and response, threat hunting, etc.
• (Preferred) Previous knowledge and/or experience with security products and their associated data.
• (Preferred) Previous knowledge and/or experience with open-source data models such as Elastic Common Schema and Open Cybersecurity Schema Framework.
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Quora
Clariti
EcoVadis
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