Principal Engineer Software (AI/ML) at Palo Alto Networks
Santa Clara, CA 95054, USA -
Full Time


Start Date

Immediate

Expiry Date

29 Jul, 25

Salary

225.0

Posted On

29 Apr, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Communication Skills, Learning Techniques, Data Analytics, Deep Learning, Python, Computer Science, Cloud, Analytical Skills, Testing, Nlp, Machine Learning, Debugging

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 Principal LLM Application Engineer to join our team and lead the development and optimization of cutting-edge Large Language Models (LLMs) within the cybersecurity domain. You will play a pivotal role in advancing our AI technology, leveraging Generative AI, LLMs, and ML Ops to drive impactful solutions. As a technical leader, you will lead high-impact projects, mentor cross-functional teams, and contribute to the strategic direction of our AI-driven cybersecurity initiatives.

YOUR EXPERIENCE

  • Bachelor’s degree in Computer Science, Engineering, or a related field.
  • 8+ years of industry experience in machine learning, data analytics, and software engineering.
  • Programming: Expertise in Python (or Go).
  • LLM Expertise: Proven experience working with large language models (e.g., open ai, LLAMA, GEMINI.).
  • Deep Learning: Strong theoretical or empirical understanding of deep learning techniques and frameworks.
  • ML Model Deployment: Experience in building, testing, and deploying machine learning models, particularly large language models.
  • Debugging & Analytical Skills: Strong ability to troubleshoot and optimize models.
  • Cloud & Distributed Computing: Familiarity with building applications using Google cloud platform(GCP) computing environments.
  • MLOps/LLMOps: Experience with DevOps/MLOps practices for machine learning.
  • Communication: Excellent communication skills for explaining technical concepts and collaborating with cross-functional teams.
  • Passion: A keen interest in staying updated with the latest AI and machine learning trends.
  • Preferred Skills & Experience
  • Advanced Degree: Master’s or PhD in Computer Science, AI, or related fields, with a focus on machine learning and NLP.
  • Cybersecurity Experience: Experience working within the cybersecurity domain.
  • GenAI Solutions: Familiarity with building GenAI solutions using the RAG framework and LLM Agentic applications.
    Additional Information
Responsibilities

Please refer the Job description for details

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