Machine Learning Engineer/Researcher

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Requirements:

• A master’s or Ph.D. degree in Computer Science or a related field, with a focus on machine learning, deep learning, natural language processing, and/or artificial intelligence in general.
• Proven experience working as a Machine Learning Engineer, Research Scientist, or a similar role, with a specific focus related to time series analysis, graph machine learning, natural language processing, and other relevant machine learning areas in general.
• Experience with tools and frameworks for building machine learning applications.
• Strong understanding of machine learning algorithms, statistical models, deep neural networks.
• Strong problem-solving skills, especially the ability to translate research findings into practical solutions.
• Strong engineering mindset and skills, including the ability of quick design and implementation of proof of concepts in Python, and the ability of designing and implementing production-ready solutions.
• Excellent communication skills, both written and verbal, with the ability to present complex ideas to both technical and non-technical stakeholders.
• Prior knowledge and/or experience in cybersecurity, such as detection and response, threat hunting, etc. (preferred).
• Prior knowledge and/or experience in security products and their data (preferred).
• Prior knowledge and/or experience in open-source data models such as Elastic Common Schema and Open Cybersecurity Schema Framework (preferred).

Responsibilities:

• As a Machine Learning Engineer/Researcher, you will be responsible for researching, designing, and developing data schema and normalization, and threat detections to enhance integration and security capabilities of Stellar Cyber’s Open XDR platform.
• Work with the data integration team to review and design data schema and normalization for integration of third-party security data.
• Work with the security team to transform detection use cases and requirements into data science or machine learning problems, and propose solutions based on integrated data.
• Research and design efficient machine learning algorithms based on security insights and data characteristics for security detection, correlation, and investigation.
• Design and implement product features for security detection, correlation, and investigation.
• Create necessary processes, tools, metrics to monitor and evaluate the efficacy of detections released to Stellar Cyber’s customers.