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Being the cybersecurity partner of choice, protecting our digital way of life.
Your Impact
You will work in a fast paced team to create and deliver new product and mission features that many customers use on a daily basis
You will be part of the team that is leading and driving industry technology evolution in and creating a positive impact on business
Design and development of workflow frameworks using AI/ML, with result collection and visualization, monitoring tools
Creation and delivery of training materials
At Palo Alto Networks, Sr Principal Engineers are:
Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices.
Visionaries who deliver on critical business needs and are recognized across the company as go-to engineering resources on given domains.
Role models and mentors who exemplify the best of Palo alto Networks culture. They do the right thing even when it’s hard, treat challenges as a chance to learn and provide honest opinions so the team can improve
Leaders who can communicate cogently with hands-on engineers as well as executives
Your Experience
M.S. or Ph.D degree in Computer Science, Mathematics, Statistics or related field or equivalent military experience required
15+ years industry experience in Machine Learning techniques and data analytics
10+ experience in design, algorithms and data structures - Expertise with one or more of the following languages is must - Java, Python, Golang
Proven leadership skills with an ability to deliver under tight deadlines.
Proven ability to collaborate with many cross-functional teams including Product Management and Design teams with an emphasis on end-to-end delivery
Proven track record in solving difficult real world problems by applying Machine Learning techniques
Experience with deep learning frameworks such as PyTorch and TensorFlow, NLP, Large Language Models, Generative AI, Langchain, Transformer models or related areas is a big plus
Thorough understanding of ML Ops best practices, ability to design, test, measure algorithms/models and orchestrate. Experience working with Google Vertex AI platform will be a plus
Excellent communication skills with the ability to influence at all levels of the organization
A self driven individual contributor and an excellent team player
We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
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 $170,000 - $270,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .
All your information will be kept confidential according to EEO guidelines.
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