Sr Staff Engineer Software (ML Applications NLP)

Company Description

This cutting edge opportunity is located at our Santa Clara, CA campus & headquarters. 

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.

We have the vision of a world where each day is safer and more secure than the one before. These aren’t easy goals to accomplish – but we’re not here for easy. We’re here for better. 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.

We’re changing the nature of work. Palo Alto Networks is evolving to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. From benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks.  And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, together.

Job Description

Your Career

You will have the opportunity to build a career solving network security challenges leveraging on advanced machine learning techniques on Petabytes of data. You will help create and deliver the most advanced AI and Machine Learning enabled solutions to discover threats, provide intelligence and protect devices.

Your Impact

• Create and deliver new product and mission features to the security platform that many customers use on a daily basis
• Actively engage and contribute to the security community through collaborations
• Be part of the team that is leading and driving industry technology evolution in security and creating a positive impact on business

Qualifications

Your Experience

• Experience in Machine Learning Applications NLP
• 5+ years of experience in design, algorithms and data structures - Expertise with Java, C++, Python, Rust
• Experience with z3, cvc5, TLA+  will be a plus
• M.S. or Ph.D degree in Computer Science, Mathematics, Electrical Engineering or related field or equivalent military experience required 
• Excellent communication skills with the ability to influence at all levels of the organization
• A self driven individual contributor and an excellent team player
• Experience with building scalable formal verification solutions on cloud will be a plus

Additional Information

The Team

Drawing on the near real-time data collected through PAN-OS device telemetry, our industry-leading next generation insights product (Device Insights) gives large cybersecurity operators a force multiplier that provides visibility into the health of their next-generation-firewall (NGFW) devices. It enables early detection of issues at various levels of the stack via advanced time-series forecasting and anomaly detection using novel deep learning techniques. Our goal is to be able to prevent service-impacting issues in critical security infrastructure that operates 24/7/365 with zero false positives and zero false negatives.

Our Commitment

We’re trailblazers that dream big, 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 accommodations@paloaltonetworks.com.

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.

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 $119,700yr to $193,600yr. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits