Staff Machine Learning Engineer
Palo Alto Networks · Posted Oct 5
Network security, cloud security, AI threat defense, and security operations platforms
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About the role
Palo Alto Networks is a cybersecurity company whose mission is to protect the digital way of life, weaving AI into the fabric of everything it does to augment individual impact. This role builds AI-driven applications, agents, and workflow orchestration for marketing and go-to-market use cases, integrating LLMs, tools, APIs, and business rules into production workflows. The engineer will also build scalable full-stack solutions and cloud-native, event-driven distributed systems, owning technical initiatives from design through production.
What you will do
- Build AI-driven applications, agents, and workflow orchestration for marketing and GTM use cases
- Integrate LLMs, tools, APIs, business rules, and data into production workflows
- Build scalable full-stack solutions across React, APIs, backend services, and data pipelines
- Design and implement cloud-native, event-driven distributed systems
- Own technical initiatives from design through production
- Contribute to architecture, code reviews, testing, observability, and reliability
- Simplify integrations and automate manual marketing processes
- Collaborate with product managers, engineers, and cross-functional teams
Skills used in this role
What the employer is looking for
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
- 3–5 years of software engineering experience
- Strong hands-on experience with Java, Kotlin, Python, or Node.js
- Experience building production applications using LLMs, prompt engineering, or tool calling
- Experience with React or modern frontend frameworks
- Experience with AWS, Azure, or GCP
- Experience with Docker, Kubernetes, and distributed systems
- Understanding of event-driven architectures, APIs, messaging, and data pipelines
- Strong problem-solving, ownership, and communication skills
Preferred qualifications
- Experience building AI agents or agent-based workflows
- Experience with RAG, embeddings, vector databases, or semantic search
- Experience applying AI to marketing, sales, or GTM workflows
- Understanding of enterprise security, privacy, and data governance
- Experience improving system scalability, reliability, or developer productivity
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
Recent coverage
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