Security Machine Learning Engineer/Researcher

🔥 2 hours ago

🇹🇼 Taiwan – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Stellar Cyber

WebsiteLinkedInAll Job Openings

51 - 200 employees

🔒 Cybersecurity

🤖 Artificial Intelligence

🏢 Enterprise

💰 $38M Series B on 2021-11

Cybersecurity • Artificial Intelligence • Enterprise

Stellar Cyber is a company that provides an automation-driven security operations platform seamlessly integrating next-generation SIEM, Network Detection and Response (NDR), and Open Extended Detection and Response (XDR). Their platform utilizes advanced AI to quickly detect and correlate cybersecurity threats across various security tools, offering comprehensive threat intelligence and automated incident response to enhance security operations for enterprises, MSSPs, and MSPs. With a focus on reducing security operation costs and improving threat response times, Stellar Cyber helps organizations protect their entire attack surface, including on-premises, cloud, and IT/OT environments.

📋 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.