Remote Senior ML Engineer - AI/LLM for Cybersecurity

CrowdStrike Inc.; Montpelier (VT); Remote; USD 140,000 - 215,000; Full time

Benefits offered by this job

Market-competitive compensation and/or

Equity awards

Wellness programs

Generous vacation and holidays

Parental and adoption leaves

Professional development

Employee networks and volunteer events

Vibrant office culture

Great Place to Work Certified

Job summary

CrowdStrike is seeking a Sr. Machine Learning Engineer to join the AIDR Engineering Team. You will contribute to high-throughput, low-latency LLM inferencing and collaborate with data scientists to enable enterprise AI applications.

This remote-friendly role emphasizes engineering excellence, scalable data pipelines, and end-to-end ownership from development to deployment within a fast-paced security-focused environment.

Qualifications

• Prior work experience doing data engineering and architecture in support of advanced data science use cases.
• Deep understanding of LLM post-training methods and computational architectures.
• Understanding scalability and distributed systems e.g. sharding, partitioning, and concurrency.

Responsibilities

• Innovate with state-of-the-art ML tech to accelerate data science.
• Support fast-moving research and development teams.
• Implement high-quality solutions for customer-facing applications at scale.
• Provide in-depth analysis to identify potential vulnerabilities or gaps.
• Construct and maintain data pipelines, and support model training and deployment.

Skills

Data engineering

Distributed systems

LLM inferencing

MLOps

Tools

Docker

Kubernetes

AWS

GCP

Kafka

Cassandra

Spark

Elasticsearch

Terraform

Ansible

Job description

CrowdStrike is seeking a Sr. Machine Learning Engineer to join the AIDR Engineering Team. You will contribute to high-throughput, low-latency LLM inferencing and collaborate with data scientists to enable enterprise AI applications.

This remote-friendly role emphasizes engineering excellence, scalable data pipelines, and end-to-end ownership from development to deployment within a fast-paced security-focused environment.