Principal Machine Learning Engineer - NLP AI Security

About Palo Alto Networks

At Palo Alto Networks our mission is to protect the digital way of life. Our vision is a world where every day is safer than the one before. We value disruptive innovation, collaboration, and in-person teamwork while supporting employee wellbeing. Join us to shape the future of cybersecurity.

Your Career

As a Principal Machine Learning Engineer - NLP AI Security, you will tackle network security challenges using advanced machine learning techniques on exabytes of data. You will design, train, and deploy ML models to detect threats, provide intelligence, and protect devices.

Your Impact

• Create and deliver new product features for our network security platform.
• Collaborate with the network security community and drive technology evolution.
• Design, train, and deploy machine learning models at scale.
• Solve real world problems using data driven approaches.

Qualifications

• M.S. or Ph.D. in Computer Science, Mathematics, Statistics or related field (or equivalent military experience).
• 10+ years of industry experience as a machine learning engineer or data scientist.
• Expertise in design, algorithms, and data structures with proficiency in languages such as Python, R, or Golang.
• Extensive experience with NLP/NLU and deep learning frameworks like PyTorch, JAX, or TensorFlow.
• Deep understanding of modern LLMs and multimodal models.
• Excellent communication skills and ability to influence at all organization levels.

Compensation & Benefits

The compensation for this role ranges from $151,000 to $246,500 per year, and may include bonuses, stock units and benefits to support your wellbeing.

Key skills/competency

• Cybersecurity
• Machine Learning
• NLP/NLU
• Deep Learning
• Python
• Data Science
• Threat Detection
• Model Deployment
• Collaboration
• Algorithm Design