Software Engineer, AI Engineer, Machine Learning/ ML Engineer
Job in
San Francisco, San Francisco County, California, 94199, USA
Listed on 2026-05-29
Listing for:
Palo Alto Networks
Full Time
position Listed on 2026-05-29
Job specializations:
-
Software Development
AI Engineer, Machine Learning/ ML Engineer, Cloud Engineer - Software, DevOps
Job Description & How to Apply Below
Requirements
- This team is looking for engineers who are passionate about technology, have an interest in cyber security, and want to make a positive difference ,
- Bachelor's degree in Computer Science or a related field, awarded between May 2023 and July 2025 ,
- 1–3 years of software engineering experience ,
- Proficiency in one or more modern programming languages (e.g., Python, JavaScript/Type Script, Java, Go) ,
- (Desirable) Exposure to large language models (LLMs) or AI/ML APIs, even through personal projects ,
- (Desirable) Familiarity with cloud environments (GCP, AWS, or Azure) and containerized development (e.g., Docker, Kubernetes) ,
- (Desirable) Experience with modern developer tools such as CI/CD pipelines, observability platforms, and infrastructure-as-code
- You will join a Research and Development (R&D) team that will give you the opportunity to make a global impact ,
- One that protects our way of life in the digital age by preventing successful cyber attacks ,
- The projects you are assigned will give you real hands-on experience working on our products from our Strata, Prisma and Cortex organizations ,
- Collaborate with cross-functional teams to design, develop, and deploy software solutions with agility and rapid iteration ,
- Use and experiment with AI-assisted development tools (e.g., Cursor, Claude Code, internal agents) to boost productivity and improve code quality ,
- Help define and evolve new engineering practices that leverage AI for code generation, testing, documentation, and refactoring ,
- Write clean, maintainable code and actively participate in peer reviews and team design discussions to ensure alignment ,
- Contribute to the automation of development, deployment, and monitoring processes as part of a Dev Ops culture ,
- Continuously learn and apply new AI technologies, frameworks, and techniques that can enhance developer workflows ,
- Participate in team retrospectives and help drive improvements in team velocity and product quality
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