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Engineer III - Machine Learning Platform

Global leader in cybersecurity protecting organizations through advanced AI-native platform, processing 3 trillion events daily.
Machine Learning
Senior Software Engineer
Hybrid
1,000 - 5,000 Employees
5+ years of experience
AI · Cybersecurity

Description For Engineer III - Machine Learning Platform

CrowdStrike, a leading cybersecurity company, is seeking a Senior Machine Learning Platform Engineer to join their innovative team. This role sits at the intersection of machine learning and cybersecurity, focusing on building and scaling sophisticated ML infrastructure that processes an impressive 3 trillion events daily.

The position offers an opportunity to work on cutting-edge ML platforms that directly impact CrowdStrike's threat detection and prevention capabilities. You'll be responsible for designing and implementing enterprise-scale ML infrastructure using modern technologies like Ray, Kubernetes, and cloud-native solutions. The role involves architecting high-performance model serving solutions that handle millions of predictions per second and building robust systems for model training, deployment, and monitoring.

As an Engineer III, you'll lead technical decisions for critical ML platform components and develop automated ML pipelines using tools like Airflow and MLflow. The role requires expertise in distributed systems, with a focus on optimization and scalability. You'll work with a comprehensive tech stack including Python, Go, Kubernetes, and various cloud platforms.

The ideal candidate brings 5+ years of software engineering experience with distributed systems and ML platforms. Strong knowledge of containerization, cloud platforms, and performance optimization is essential. Experience with tools like Ray, JupyterHub, MLflow, and observability solutions (Prometheus, Grafana) is highly valued.

CrowdStrike offers an attractive benefits package including remote-friendly work culture, competitive compensation with equity, comprehensive wellness programs, and professional development opportunities. The company maintains a strong commitment to work-life balance with competitive vacation policies and paid parental leave.

This role presents an exceptional opportunity to work at the forefront of cybersecurity and machine learning, directly contributing to CrowdStrike's mission of stopping breaches. You'll be part of a team that's shaping the future of cybersecurity while working with cutting-edge technologies and solving complex challenges at scale.

Last updated a day ago

Responsibilities For Engineer III - Machine Learning Platform

  • Design and implement enterprise-scale ML infrastructure using Ray, Kubernetes, and cloud-native technologies
  • Architect high-performance model serving solutions handling millions of predictions per second
  • Build robust, scalable systems for model training, deployment, and monitoring
  • Lead technical decisions for critical ML platform components
  • Develop automated ML pipelines using Airflow and MLflow
  • Implement sophisticated monitoring and observability solutions
  • Optimize resource utilization across distributed computing environments
  • Design fault-tolerant, highly available ML systems

Requirements For Engineer III - Machine Learning Platform

Python
Kubernetes
Redis
Go
  • 5+ years of software engineering experience with distributed systems
  • 5+ years of hands-on experience building ML platforms
  • Deep expertise in Python and modern ML infrastructure tools
  • Proven experience with Kubernetes, containerization, and cloud platforms
  • Strong background in performance optimization and scalability
  • Experience with Ray, JupyterHub, MLflow, or similar ML platforms
  • Experience with AWS/GCP/Azure, Terraform
  • Knowledge of observability tools like Prometheus, Grafana
  • Experience with CI/CD tools like GitLab, Jenkins

Benefits For Engineer III - Machine Learning Platform

Medical Insurance
Mental Health Assistance
Parental Leave
  • Remote-friendly and flexible work culture
  • Market leader in compensation and equity awards
  • Comprehensive physical and mental wellness programs
  • Competitive vacation and holidays
  • Paid parental and adoption leaves
  • Professional development opportunities
  • Employee Networks and volunteer opportunities
  • Vibrant office culture with world class amenities

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