Principal Machine Learning Engineer – Cortex Xpanse

Job not on LinkedIn

October 29

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Logo of Palo Alto Networks

Palo Alto Networks

Cybersecurity • Enterprise • AI

Palo Alto Networks is a leading cybersecurity company that offers a comprehensive suite of products and services designed to protect networks, cloud environments, and enterprise operations from cyber threats. The company's offerings include advanced threat prevention, network security, cloud security, IoT security, endpoint protection, and managed detection and response services. With a strong emphasis on AI-driven security operations and zero trust architectures, Palo Alto Networks is recognized as a leader in enterprise firewall solutions and other areas of cybersecurity across numerous sectors worldwide. The company provides expertise in threat intelligence, incident response, and proactive assessment to help organizations secure their infrastructure and data. Their solutions cater to a variety of industries, including financial services, healthcare, manufacturing, and the public sector. Palo Alto Networks is committed to advancing cybersecurity with AI-powered precision to ensure comprehensive protection and efficient threat response.

10,000+ employees

Founded 2005

🔒 Cybersecurity

🏢 Enterprise

💰 $10M Series C on 2008-11

📋 Description

• Prototype, build, and improve AI systems and ML models • Strengthen infrastructure for data ETL, model training and lifecycle, MLOps, batch and real-time processing • Mentor and coach other ML engineers • Work directly with security professionals • Develop feature engineering, data pipelines, and transformations • Measure and refine model performance through metrics-driven evaluations • Deliver, monitor, and continually improve secure AI and ML systems in production

🎯 Requirements

• Experience with Python including delivering production-quality code and debugging in a production environment • Expertise in one or more of: MLOps expertise (e.g. Feature Store, Model Serving, Model Monitoring) • Data Engineering expertise (e.g. Airflow, Apache Beam, Dataflow, SQL) • Designing and building applications powered by LLMs and generative AI • Applying modern AI techniques including LLMs, embeddings, fine-tuning, and prompt engineering • Experience operating ML systems in production environments • Conceptual thinking and creativity; ability to collaborate and convey complex technical concepts

🏖️ Benefits

• FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees • Mental and financial health resources • Personalized learning opportunities

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