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1 день назад

Staff AI/ML Engineer (Cybersecurity)

225 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Staff AI/ML Engineer (Cybersecurity): Designing and implementing production-grade machine learning systems for ICS/OT cybersecurity with an accent on threat detection, anomaly analysis, and actionable intelligence. Focus on building scalable ML pipelines, optimizing model performance for cloud and on-premises environments, and integrating advanced AI capabilities into the core security platform.

Location: Must be based in the United States

Salary: $225,000

Company

hirify.global is a global leader in industrial cybersecurity, protecting critical infrastructure systems through technology, threat intelligence, and expert services.

What you will do

  • Design and implement production-grade machine learning systems for cloud and on-premises environments.
  • Build and optimize ML model architectures for threat detection, asset classification, and anomaly detection.
  • Develop robust data pipelines and ML workflows supporting real-time and batch processing.
  • Collaborate with OT detection experts to translate research into scalable, production-ready systems.
  • Establish data contracts and implement observability frameworks for ML pipelines.
  • Contribute to ML infrastructure, including CI/CD pipelines and containerized deployment strategies.

Requirements

  • 6+ years of engineering experience with 4+ years in production ML environments.
  • Strong software engineering foundation in Python and SQL, plus one additional language (Go, Rust, Java).
  • Experience building and deploying ML systems using modern frameworks like PyTorch or TensorFlow.
  • Proven track record implementing ML solutions that deliver measurable business impact.
  • Experience with MLOps practices, including model versioning, monitoring, and pipeline orchestration.
  • Knowledge of containerized deployment solutions and cloud-native architectures.

Nice to have

  • Experience with LLMs, retrieval-augmented generation (RAG), or advanced NLP techniques.
  • Domain knowledge in cybersecurity, threat intelligence, or ICS/OT operations.

Culture & Benefits

  • Remote-first mission-driven team culture.
  • Comprehensive benefits plan.
  • Competitive equity package.
  • Opportunity to work on critical infrastructure protection.

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