Machine Learning Engineer

About the Company

Chronicle is revolutionizing cybersecurity by leveraging cutting-edge AI and machine learning to help organizations detect, investigate, and respond to cyber threats in real-time. As part of Google Cloud, we're building advanced security operations platforms that protect companies worldwide from evolving digital threats.

Join our passionate team of 20 innovators in a remote-first, design-driven culture where you'll have the autonomy to make significant impact from day one. We prioritize high performance, product quality, and give you the flexibility to work across time zones with our diverse team spanning Australia and India.

Position Overview

We're seeking a talented Machine Learning Engineer to join our cybersecurity team and help build AI-powered threat detection systems. You'll work on developing and deploying ML models that can identify cyber threats, analyze security incidents, and enhance our real-time response capabilities. This role offers the opportunity to work with cutting-edge AI technology while making a direct impact on global cybersecurity.

Responsibilities

• Design and develop machine learning models for threat detection and cybersecurity analytics
• Build and maintain ML pipelines for real-time processing of security data streams
• Collaborate with security researchers to translate threat intelligence into ML features
• Optimize model performance and scalability for large-scale security operations
• Implement MLOps practices for model deployment, monitoring, and continuous improvement
• Work with cross-functional teams to integrate ML capabilities into security products
• Research and experiment with new ML techniques for cybersecurity applications

Must-Have Requirements

• 3+ years of experience in machine learning engineering or data science
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, or Scikit-learn)
• Experience with cloud platforms for ML deployment and scaling
• Knowledge of data preprocessing, feature engineering, and model evaluation techniques
• Understanding of ML model deployment and production systems
• Bachelor's degree in Computer Science, Machine Learning, or related technical field
• Experience with version control systems and collaborative development workflows

Nice to Have

• Previous experience in cybersecurity or threat detection domains
• Knowledge of anomaly detection and time-series analysis techniques
• Experience with big data processing frameworks (Spark, Kafka)
• Familiarity with containerization and orchestration tools (Docker, Kubernetes)
• Open source contributions or research publications in ML/AI

What We Offer

• Remote-first work environment with flexible hours
• Opportunity to work on cutting-edge AI technology in cybersecurity
• Collaborative culture with a senior, experienced team
• Significant impact and ownership from day one
• Professional growth opportunities in a fast-growing company