Senior ML Engineer — AI/LLM for Cybersecurity (Equity)

CrowdStrike Inc.; Sacramento (CA); Remote; USD 140.000 - 215.000; Vollzeit

Benefits dieser Stelle

Compensation & equity

Wellness programs

Vacation & holidays

Parental leaves

Professional development

Employee networks

Vibrant office culture

Great Place to Work Certified

Zusammenfassung

CrowdStrike is seeking a Sr. Machine Learning Engineer to join our AIDR Engineering Team.

You will support high-throughput, low-latency LLM inferencing and collaborate with data scientists to advance post-training methods and data pipelines. In this front-seat role, you’ll design scalable architectures, implement robust solutions for enterprise-grade AI applications, and mentor peers while thriving in a fast, autonomous, agile environment.

Qualifikationen

• Experience building data engineering solutions for advanced data science use cases.
• Deep understanding of LLM post-training methods and architectures.
• Knowledge of scalability, partitioning, sharding, and concurrency in distributed systems.
• Proven ability to work well in a team and deliver high-quality software.
• Experience applying engineering best practices, testing, peer reviews, and CI.
• Applied work with AI to improve decision-making, efficiency or workflows.

Aufgaben

• Innovate with state-of-the-art ML tech to accelerate data science.
• Support fast-moving R&D teams with pragmatic solutions.
• Build and maintain data pipelines and model training support.
• Analyze to identify vulnerabilities or gaps in systems.
• Collaborate across teams to design and implement solutions.
• Own end-to-end work: develop, test, deploy, monitor.

Kenntnisse

Data engineering

LLM post-training

Distributed systems

Team player

CI/CD reviews

Tools

Docker

Kubernetes

AWS/GCP

Kafka

Cassandra

Spark

Elasticsearch

Terraform

Ansible

Jobbeschreibung

CrowdStrike is seeking a Sr. Machine Learning Engineer to join our AIDR Engineering Team.

You will support high-throughput, low-latency LLM inferencing and collaborate with data scientists to advance post-training methods and data pipelines. In this front-seat role, you’ll design scalable architectures, implement robust solutions for enterprise-grade AI applications, and mentor peers while thriving in a fast, autonomous, agile environment.