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.
Your Career
As a Staff AI Scientist at Palo Alto Networks, you’ll contribute to the development of cutting-edge AI and machine learning solutions that solve high-impact problems across cybersecurity and enterprise operations. This is a senior-level individual contributor role focused on research, experimentation, and production development—not technical leadership or architectural ownership. You’ll work on a collaborative team of engineers and scientists, applying your expertise to build intelligent systems that enhance products, automate complex workflows, and drive measurable value.
Your Impact
Research and implement advanced AI/ML models in areas such as LLMs, generative AI, deep learning, reinforcement learning, NLP, or computer vision
Contribute to the design and development of scalable, production-ready solutions in close partnership with engineering and product teams
Write clean, maintainable, and efficient code—primarily in Python—using modern ML frameworks (e.g., PyTorch, TensorFlow, JAX)
Run experiments, evaluate model performance, and iterate quickly to improve accuracy, reliability, and impact
Collaborate cross-functionally to understand use cases, define requirements, and integrate models into broader systems
Stay current with AI/ML research and bring new techniques and tools into the team’s workflow when appropriate
Share knowledge with peers through documentation, code reviews, and informal mentorship
Your Experience
PhD in a relevant field with 1+ years of industry experience, or MSc with 3+ years, or BSc with 5+ years
Strong programming skills in Python, with experience in ML/AI toolkits such as PyTorch, TensorFlow, or JAX
Proven ability to implement and optimize models for real-world applications
Experience working with structured and unstructured data, and applying ML to production environments
Familiarity with cloud platforms (AWS, GCP, Azure) and MLOps best practices
Strong analytical and problem-solving skills with attention to detail
Bonus: experience with Spark or distributed computing frameworks; publications or open-source contributions a plus
The Team
To stay ahead of the curve, it’s critical to know where the curve is, and how to anticipate the changes we’re facing. For the fastest-growing cybersecurity company, the curve is the evolution of cyberattacks and the products and services that proactively address them.
You will be part of a growing, passionate, and dynamic team with an opportunity to work on challenging and exciting projects — centered on what we believe is one of the most significant mission statements in the world. We also strive to be the most people-centric company ever! That means we’re constantly working to make your experience amazing, and you are part of the team breaking boundaries of what the workplace can be!
Our Commitment
We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected].
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be between $136000 - $221000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
Our Commitment
We’re problem solvers that take risks and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected].
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Santa Clara, CA, United States
