Company 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.

　　Job Description You will have the opportunity to build a career solving application security challenges leveraging advanced machine learning techniques. You will help create and deliver the most advanced AI and Machine Learning enabled solutions to detect and remediate cloud native application security issues, discover threats, provide intelligence and protect customers applications from code to cloud.

　　Your Impact

　　You will work in a fast paced team to create and deliver new product and mission features to the Cloud Native Application Protection Platform (CNAPP) that many customers use on a daily basisYou will actively engage and contribute to the cloud and code security community through collaborationsYou will be part of the team that is leading and driving industry technology evolution in and creating a positive impact on businessDesign and development of workflow frameworks using AI/ML, with result collection and visualization, monitoring toolsCreation and delivery of training materials Qualifications  

　　M.S. or Ph.D degree in Computer Science, Mathematics, Statistics or related field or equivalent military experience required8+ years industry experience in building Machine Learning, AI, and Data Analytics platforms 8+ years experience in design, algorithms and data structures - Expertise with one or more of the following languages is must - Java, Python, GolangProven track record in solving difficult real world problems by applying Machine Learning techniquesExperience in cyber security will be a big plusExperience with Supervised, Unsupervised, Semi-supervised Learning, Natural Language Processing, Large Language Models, Generative AIExperience with open source AI tools and models such as langchain, LLaMA is a big plusThorough understanding of ML Ops best practices, ability to design, test, measure algorithms/models and orchestrate - Experience working with Google Vertex AI, AWS Sagemaker, Databricks Data Lake platform will be a plusExcellent communication skills with the ability to influence at all levels of the organizationA self driven individual contributor and an excellent team player Additional Information The Team

　　We are on a mission to build the industry's best cloud native application security powered by AI.

　　Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before.

　　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.

　　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 [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.

　　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 $x/yr to $y/yr. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

　　Is role eligible for Immigration Sponsorship?: Yes