Machine Learning Engineer - Researcher

June 8

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Stellar Cyber

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💰 $38M Series B on 2021-11

Description

• 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 to 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.

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. • (Preferred) Prior knowledge and/or experience in cybersecurity, such as detection and response, threat hunting, and 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.

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