Security Machine Learning Engineer/Researcher

Stellar Cyber

. Work with the data integration team to review and design data schema and normalization for integration of third-party security data.

Posted 10/15/2026full-timeRemote • TaiwanMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in machine learning, deep learning, and natural language processing, with a strong focus on designing and implementing algorithms for security detection and investigation. Proficient in translating complex research into practical solutions while effectively communicating with diverse stakeholders.

Highest-signal resume keywords

Machine Learning EngineeringDeep LearningNatural Language ProcessingPython ProgrammingTime Series Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning AlgorithmsStatistical ModelsDeep Neural NetworksData Schema DesignNormalization Techniques

Soft Skills

Problem SolvingCommunication Skills

Tools & Technologies

Machine Learning FrameworksData Integration ToolsElastic Common SchemaOpen Cybersecurity Schema Framework

Industry Keywords

CybersecurityThreat HuntingDetection and ResponseSecurity Products

Tech Stack

Tools & technologies

Cyber SecurityPython

About the role

Key responsibilities & impact

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

What you’ll need

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.