Senior Principal ML Engineer: AI Security & Cloud

Palo Alto Networks

Santa Clara (CA)

On-site

USD 184,000 - 297,000

Full time

6 days ago
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Job summary

Palo Alto Networks is seeking an AI/ML Engineer to build advanced intelligent systems that safeguard cloud infrastructure and secure AI model implementations. You will operate at the intersection of machine learning, cloud security, and AI safety, deploying autonomous solutions that actively classify threats, tune models, and prevent adversarial attacks.

You will partner with product, security, and cloud teams to integrate ML solutions into production systems, optimize data classification, and

Qualifications

  • MS or PhD in Computer Science, AI, ML, Statistics, or related field, or equivalent practical experience.
  • 14+ years software engineering experience, with at least 3 years in ML, NLP, or AI systems.
  • Proficiency in Python and hands-on experience with deep learning frameworks (PyTorch or TensorFlow).
  • Experience with LLMs/SLMs, prompt engineering, and model fine-tuning.
  • Strong background in auto-classification and anomaly detection on large datasets.

Responsibilities

  • Develop scalable anomaly detection pipelines for cloud environments and AI agent actions.
  • Lead SLM tuning initiatives for low-latency, accurate edge-cloud tasks.
  • Drive data classification strategies using ML, NLP, and deep learning on large datasets.
  • Collaborate with product, security, and cloud engineering teams to productionize ML solutions.

Skills

Python
Deep Learning
NLP
ML systems
Prompt engineering

Education

MS/PhD in CS/AI/ML/Statistics

Tools

PyTorch
TensorFlow
DistilBERT
GCP
AWS

Job description

Palo Alto Networks is seeking an AI/ML Engineer to build advanced intelligent systems that safeguard cloud infrastructure and secure AI model implementations. You will operate at the intersection of machine learning, cloud security, and AI safety, deploying autonomous solutions that actively classify threats, tune models, and prevent adversarial attacks.

You will partner with product, security, and cloud teams to integrate ML solutions into production systems, optimize data classification, and

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