
Security Machine Learning Engineer/ Researcher
Stellar Cyber15 hours ago
Remote, TaiwanSenior
Responsibilities
- Design data schemas and normalization processes for integrating third-party security data.
- Translate security detection use cases into data science and machine learning problems and propose solutions.
- Research and design machine learning algorithms for security detection, correlation, and investigation.
- Design and implement product features for security detection, correlation, and investigation.
- Create processes, tools, and metrics to monitor and evaluate detection efficacy.
Requirements
- Master’s or Ph.D. degree in computer science or a related field focused on machine learning, deep learning, natural language processing, or artificial intelligence.
- Proven experience as a Machine Learning Engineer, Research Scientist, or in a similar role, including relevant work in time series analysis, graph machine learning, natural language processing, or related areas.
- Experience with tools and frameworks for building machine learning applications.
- Strong understanding of machine learning algorithms, statistical models, and deep neural networks.
- Ability to translate research findings into practical solutions and quickly implement proof-of-concepts and production-ready solutions in Python.
- Strong written and verbal communication skills for presenting complex ideas to technical and non-technical stakeholders.
- Preferred experience with cybersecurity topics such as detection and response, threat hunting, and security products and their data.
- Preferred knowledge of Elastic Common Schema and Open Cybersecurity Schema Framework.
Benefits
- Full-time remote role based in Taiwan.
- Opportunity to work with a fast-growing global cybersecurity company and its Open XDR platform.
- Collaborative, diverse, and growth-oriented work environment.
Tech Stack
Categories
About Stellar Cyber
Stellar Cyber builds an open security operations platform that unifies AI-driven SIEM, NDR, and Open XDR for enterprises, managed security service providers, and public-sector teams. The company sells subscription software that ingests logs and network data to detect, correlate, and respond to threats across on-premises and cloud environments. Founded in 2017 and headquartered in San Jose, California, Stellar Cyber is privately held and broadly adopted by MSSPs.