Senior AI/ML Scientist — Cybersecurity at Scale

CrowdStrike; North Dakota; On-site; USD 140,000 - 215,000; Full time

Benefits offered by this job

Competitive compensation

Wellness programs

Professional development

Paid time off

Job summary

CrowdStrike is seeking a Senior Data Scientist to design, build, and deploy AI systems analyzing millions of security events per second. You will develop models for anomaly detection, event classification, ranking, and automated security reasoning within the NGSIEM Agentic AI team.

You will own end-to-end AI/ML architecture, drive scalable patterns, and mentor others while balancing latency, cost, and reliability. Collaboration with product, security, and engineering is essential.

Qualifications

• 8+ years of experience building and scaling large-scale AI/ML, search, retrieval, ranking in cybersecurity space.
• MS, PhD, or equivalent industry experience in Computer Science, Statistics, Physics, or related quantitative discipline.
• Deep expertise in semantic retrieval, vector search, ranking systems, NLP/LLMs, RAG architectures, and agentic AI systems.
• Strong understanding of retrieval and ranking trade-offs, experimentation methodologies, model evaluation, and operational excellence.

Responsibilities

• Lead architecture and strategy for large-scale retrieval, ranking, vector search, RAG, and anomaly detection systems.
• Own end-to-end AI/ML architecture including data pipelines, feature engineering, model development, deployment, monitoring, and evaluation.
• Define evaluation methodologies, experimentation strategies, and success metrics to assess impact.
• Mentor junior scientists and influence technical direction across teams.

Skills

Go

Python

SQL

NLP/LLMs

Distributed systems

Education

MS/PhD in CS or related

Tools

Kubernetes

Spark

Kafka

S3

Iceberg

Parquet

Model Serving

ML Pipelines

Job description

CrowdStrike is seeking a Senior Data Scientist to design, build, and deploy AI systems analyzing millions of security events per second. You will develop models for anomaly detection, event classification, ranking, and automated security reasoning within the NGSIEM Agentic AI team.

You will own end-to-end AI/ML architecture, drive scalable patterns, and mentor others while balancing latency, cost, and reliability. Collaboration with product, security, and engineering is essential.