jobapplier

Security Machine Learning Engineer / Researcher

Stellar Cyber

Skills

Required

  • machine learning
  • Schema
  • cybersecurity
  • natural language processing
  • machine learning algorithms
  • time series analysis
  • graph machine learning
  • Python
  • open-source data models
  • Elastic

Preferred

  • data schema
  • normalization
  • threat detections
  • algorithms
  • data science
  • integrated data

About Stellar Cyber

Join Stellar Cyber, a fast-growing cybersecurity company, as a Machine Learning Engineer/Researcher. In this role, you will research, design, and develop data schema and normalization, and threat detections to enhance the integration and security capabilities of our Open XDR platform. You will work closely with the data integration and security teams, and have the opportunity to make a significant impact in the field of cybersecurity.

Responsibilities

  • Research, design, and develop data schema and normalization, and threat detections to enhance integration and security capabilities of Stellar Cyber’s Open XDR platform.
  • 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.

Requirements

  • 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
  • (Preferred) Prior knowledge and/or experience in security products and their data
  • 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
  • (Preferred) Prior knowledge and/or experience in open-source data models such as Elastic Common Schema and Open Cybersecurity Schema Framework
  • (Preferred) Prior knowledge and/or experience in cybersecurity, such as detection and response, threat hunting, and etc
  • 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
  • Strong understanding of machine learning algorithms, statistical models, deep neural networks
  • Experience with tools and frameworks for building machine learning applications
  • Excellent communication skills, both written and verbal, with the ability to present complex ideas to both technical and non-technical stakeholders
  • Strong problem solving skills, especially the ability to translate research findings into practical solutions

Pay

USD 150,000 - 215,000