Principal Machine Learning Engineer (NLP - AI Runtime Security)

Palo Alto Networks • Santa Clara, CA

77d • $151,000 - $246,500

About The Position

At Palo Alto Networks, you will have the opportunity to build a career solving network security challenges leveraging advanced machine learning techniques on exabytes of data. You will help create and deliver the most advanced AI and Machine Learning enabled solutions to detect and remediate network issues, discover threats, provide intelligence and protect devices. You will work in a fast paced team to create and deliver new product and mission features to the network and security platform that many customers use on a daily basis. You will actively engage and contribute to the network security community through collaborations and be part of the team that is leading and driving industry technology evolution in creating a positive impact on business. You will design, train and deploy ML models to detect threats posed by widespread adoption of GenAI.

Requirements

• M.S. or Ph.D degree in Computer Science, Mathematics, Statistics or related field or equivalent military experience required.
• 10+ years industry experience as machine learning engineer / data scientist.
• 10+ years experience in design, algorithms and data structures.
• Expertise with one or more of the following languages: Python, R, Golang.
• Proven track record in solving difficult real world problems by applying data driven approaches.
• Extensive experience with NLP/NLU problems and deep learning frameworks such as PyTorch, JAX and/or TensorFlow.
• Deep understanding and experience working with modern LLMs / Multimodal Models.
• Thorough understanding and ability to design, test, evaluate and deploy ML models at scale.
• Excellent communication skills with the ability to influence at all levels of the organization.
• A self driven individual contributor and an excellent team player.

Responsibilities

• Build a career solving network security challenges leveraging advanced machine learning techniques.
• Create and deliver AI and Machine Learning enabled solutions to detect and remediate network issues.
• Discover threats, provide intelligence, and protect devices.
• Engage and contribute to the network security community through collaborations.
• Design, train, and deploy ML models to detect threats posed by GenAI.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Master's degree
• Number of Employees: 5,001-10,000 employees