# Principal Machine Learning Engineer (Prisma AIRS) at Palo Alto Networks

- Company: Palo Alto Networks
- What the company does: Implement Zero Trust, Secure your Network, Cloud workloads, Hybrid Workforce, Leverage Threat Intelligence & Security Consulting. Cybersecurity Services & Education for CISO’s, Head of Infrastructure, Network Security Engineers, Cloud Architects & SOC Managers. Backed by Greylock, Sequoia and Felicis.
- Company website: https://www.paloaltonetworks.com/
- Type: Startups (AI role)
- Level: Principal and up
- Location: Office - USA - CA - Headquarters
- Work setup: On-site
- Posted: 2026-10-02
- Apply by: 2026-11-16
- Apply: https://paloaltonetworks.wd5.myworkdayjobs.com/en-US/panwexternalcareers/job/Office---USA---CA---Headquarters/Principal-Machine-Learning-Engineer--Prisma-AIRS-_JR-023331?utm_source=1752vc&utm_medium=careers
- Page: https://www.1752.vc/careers/jobs/palo-alto-networks-principal-machine-learning-engineer-prisma-airs-2/

## About the role

Levels we are considering: Sr. Staff and Principal Engineers As a senior technical leader on the AIRS team, you will operate at the intersection of machine learning, cloud security, and AI safety. You will design, build, and deploy high-performance infrastructure and autonomous ML solutions that actively classify threats, tune models, and prevent adversarial attacks at enterprise scale. Found on 1752vc Careers, the job board for startup and VC roles.

## What they're looking for

- Programming & Frameworks: Deep programming expertise in Python and strong hands-on experience with deep learning frameworks such as PyTorch or TensorFlow
- Large/Small Language Models: Proven experience working directly with LLMs/SLMs, advanced prompt engineering, and model fine-tuning techniques
- Core ML Systems: Strong, demonstrated background in building and scaling auto-classification and anomaly detection models on massive, real-world datasets
- Adversarial & Model Safety: Demonstrated knowledge of cybersecurity concepts and AI safety vulnerabilities (e.g., prompt injection defense, AI red-teaming, model security)
- Models & Frameworks: Familiarity with DistilBERT and other open-source classification models
- Graph Architectures: Familiarity with large, graph-based datasets and processing techniques


Source: 1752vc Careers, https://www.1752.vc/careers/jobs/palo-alto-networks-principal-machine-learning-engineer-prisma-airs-2/