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4 дня назад

Machine Learning Engineer / Researcher (Cybersecurity)

150 000 - 215 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Machine Learning Engineer / Researcher (Cybersecurity): Researching and developing data schemas, normalization methods, and machine learning-based threat detections for an Open XDR cybersecurity platform with an accent on security data integration, detection engineering, and applied machine learning. Focus on designing algorithms for detection, correlation, and investigation, translating security requirements into practical solutions, and evaluating detection effectiveness in production.

Location: Remote, United States

Salary: USD 150,000–215,000 per year, plus bonus opportunity and equity.

Company

hirify.global develops an Open XDR cybersecurity platform that uses AI and automation to protect enterprises, government agencies, and managed security service providers from cyber threats.

What you will do

  • Review and design data schemas and normalization methods for integrating third-party security data.
  • Translate security detection use cases and requirements into data science and machine learning problems.
  • 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 the effectiveness of released detections.

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.
  • Professional experience as a Machine Learning Engineer, Research Scientist, or in a similar role.
  • Experience with time series analysis, graph machine learning, natural language processing, or related machine learning areas.
  • Experience with tools and frameworks for building machine learning applications.
  • Strong understanding of machine learning algorithms, statistical models, and deep neural networks.
  • Strong Python engineering skills, including rapid proof-of-concept development and production-ready implementation.

Nice to have

  • Experience with cybersecurity, detection and response, or threat hunting.
  • Knowledge of security products and security data.
  • Experience with Elastic Common Schema or Open Cybersecurity Schema Framework.

Culture & Benefits

  • Collaborative and open culture focused on diversity, creativity, and innovation.
  • Pre-IPO stock options and bonus opportunity.
  • Medical, dental, and vision care.
  • 401(k), life insurance, paid time off, and an employee assistance program.
  • Employee discount, referral, rewards, and recognition programs.

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