обновлено 3 дня назад
Staff AI/ML Engineer
225 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff AI/ML Engineer (AI/ML and ICS/OT Cybersecurity): Designing and deploying production machine learning systems for threat detection, asset classification, behavioral analysis, anomaly detection, and NLP with an accent on cloud and resource-constrained on-premises environments. Focus on building reliable ML pipelines, translating cybersecurity research into scalable systems, and optimizing latency, accuracy, monitoring, and resource utilization in production.
Location: Remote within the United States
Salary: $225,000 annually
Company
provides cybersecurity technology, threat intelligence, and expert services for industrial control systems and extended operational technology protecting critical infrastructure.
What you will do
- Design and implement production-grade machine learning systems for cloud and resource-constrained on-premises environments.
- Build and optimize ML architectures for threat detection, asset classification, behavioral analysis, anomaly detection, and natural language processing.
- Develop data pipelines and ML workflows supporting real-time and batch processing.
- Translate research concepts and prototypes into scalable production systems with OT detection experts.
- Establish data contracts, observability, model monitoring, versioning, testing, CI/CD, and deployment practices.
- Evaluate research and open-source models, then troubleshoot production performance across latency, accuracy, and resource utilization.
Requirements
- 6+ years of engineering experience, including at least 4 years implementing machine learning systems in production.
- Strong software engineering skills with Python and SQL, plus experience with Go, Rust, Java, or a JVM-family language.
- Experience deploying ML systems with frameworks such as scikit-learn, PyTorch, TensorFlow, or HuggingFace.
- Experience with MLOps, model versioning, monitoring, pipeline orchestration, containerized deployment, and cloud-native architectures.
- Knowledge of data pipelines, stream processing, message queuing, and medium-to-large-scale datasets.
- Strong communication and cross-functional collaboration skills.
Nice to have
- Experience with LLMs, retrieval-augmented generation, or advanced NLP.
- Cybersecurity knowledge in threat detection, threat intelligence, or ICS/OT operations.
Culture & Benefits
- Remote-first, mission-driven work focused on protecting critical infrastructure.
- Collaboration across North America, Europe, the Middle East, and APAC.
- Competitive equity package.
- Comprehensive benefits plan.
- Employment is subject to a background check.
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