Principal Machine Learning Engineer (Prisma AIRS) - NetSec
Palo Alto Networks · Posted Sep 24
Network security, cloud security, AI threat defense, and security operations platforms
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About the role
Palo Alto Networks' Engineering team is at the core of the company's products and directly connected to the mission of preventing cyberattacks, constantly innovating and challenging how the industry thinks about cybersecurity. The Principal Machine Learning Engineer (Prisma AIRS) - NetSec role leads SLM tuning for low-latency edge-cloud security, drives advanced data classification with ML, NLP, and deep learning, and extracts complex threat patterns from massive datasets while integrating ML solutions into scalable production systems.
What you will do
- Lead SLM tuning initiatives for low-latency, highly accurate edge-cloud security tasks.
- Drive advanced data classification strategies using ML, NLP, and deep learning.
- Extract complex threat patterns from massive structured and unstructured datasets.
- Partner with product, security, and cloud engineering teams as a technical leader.
- Integrate machine learning solutions seamlessly into scalable production systems.
Skills used in this role
What the employer is looking for
- MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field.
- 14+ years of software engineering industry experience, including 3+ years in ML, NLP, or AI systems.
- Deep programming expertise in Python and deep learning frameworks like PyTorch or TensorFlow.
- Proven experience working directly with LLMs/SLMs, advanced prompt engineering, and fine-tuning techniques.
- Strong background in building and scaling auto-classification and anomaly detection models on massive datasets.
Preferred qualifications
- Demonstrated knowledge of cybersecurity concepts and AI safety vulnerabilities like prompt injection defense and AI red-teaming.
- Familiarity with DistilBERT and other open-source classification models.
- Experience with large, graph-based datasets and processing techniques.
- Expertise in distributed cloud systems (GCP or AWS) and deploying ML inference pipelines at scale.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Palo Alto Networks
Palo Alto Networks is a global cybersecurity leader that delivers integrated platforms and services across network security, cloud security, and security operations. Leveraging advanced artificial intelligence and threat intelligence through Unit 42, the company helps tens of thousands of enterprise and government customers worldwide protect against sophisticated cyber threats.
- Industry
- Cybersecurity
- Company size
- 16000+ employees
- Founded
- 2005
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $65.7M raised
- 2008-11-01Series C$40M
Leadership
Chairman and Chief Executive Officer
Chief Product and Technology Officer
Chief Financial Officer
Chief Information Officer
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