Staff Engineer Software (AI Customer Co-pilot) at Palo Alto Networks
Santa Clara, CA 95054, USA -
Full Time


Start Date

Immediate

Expiry Date

16 Jun, 25

Salary

120000.0

Posted On

17 Mar, 25

Experience

1 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Cloud, Computer Science, Communication Skills, Machine Learning, Deep Learning, Teams, Python, Gemini, Learning Techniques, Data Science, Testing

Industry

Information Technology/IT

Description

OUR MISSION

At Palo Alto Networks® everything starts and ends with our mission:
Being the cybersecurity partner of choice, protecting our digital way of life.
Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are.

WHO WE ARE

We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included.
As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few!
At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision.
Job Description

YOUR CAREER

We are seeking a Staff AI Engineer to join our growing team and contribute to the development and optimization of cutting-edge AI technologies, including Large Language Models (LLMs). In this role, you will work closely with technical teams to develop impactful AI-driven solutions that enhance our cybersecurity capabilities. This is a great opportunity for an experienced engineer to grow in an innovative environment and make significant contributions to the field of AI in cybersecurity.

YOUR EXPERIENCE

  • Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
  • Experience: 1+ years of hands-on experience in AI, machine learning, or data science.
  • Programming: Proficiency in Python (or Go).
  • AI Model Experience: Experience working with large language models (e.g., Open AI, LLAMA, GEMINI) or similar AI technologies.
  • Deep Learning: Familiarity with deep learning techniques and frameworks.
  • ML Deployment: Experience in building, testing, and deploying machine learning models, especially large language models.
  • Cloud & Distributed Computing: Familiarity with cloud-based infrastructure Google Cloud Platform (GCP)
  • MLOps: Experience with DevOps/MLOps practices for machine learning development and deployment.
  • Problem Solving: Strong analytical and troubleshooting skills for AI model optimization.
  • Communication: Effective communication skills to collaborate across teams and convey technical concepts clearly.

PREFERRED SKILLS & EXPERIENCE

  • Cybersecurity Exposure: Experience working in the cybersecurity domain.
  • Advanced Degree: Master’s degree or higher in Computer Science, AI, or a related field.
  • GenAI Framework: Familiarity with Generative AI (GenAI) solutions, including experience with RAG frameworks.
  • AI Agent Systems: Experience in developing AI agent-based applications and solutions.
    Additional Information
Responsibilities

Please refer the Job description for details

Loading...