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!

Your Career

Are you passionate about using cutting-edge data science approaches to help protect the world against cyber threats? Do you live and breathe the cyber security world? Do you want to participate in an innovative and disruptive team that will impact the lives of many customers?

You will lead a strong team of data scientists and researchers to use various data mining and data analysis methods, lead and implement new features, models, and algorithms, and run experiments to validate your hypothesis. You will drive decisions based on security context and real-life security incidents, take part in the design and development of new groundbreaking AI security solutions and make an impact on thousands of customers.

Your Impact

• Lead your own diverse team of security researchers and data scientists, focusing on impactful ML projects
• Be a thought leader around ML best-practices and latest research done in the field
• Use analytical rigor and statistical methods, programming and data modeling to generate and test hypotheses and experiments which will be later deployed to production
• Lead the team's processes and workflows to constantly improve delivery time and quality
• Collaborate and partner up with different research, engineering and PM teams to push for new capabilities
• Get involved in publications both internally and externally to expose your deliveries, impact and success

Your Experience

• At least 2 years of technical management of an ML research team
• Hands-on experience leading data science and ML projects from inception to production
• Track record of successful delivery of projects that involve collaboration with other teams
• Background or relevant experience in the Cybersecurity world
• Advanced degree in Machine Learning, Computer Science, Electrical Engineering, Physics, Statistics, Applied Math, or relevant qualifications that can be suitable for this position or equivalent military experience
• Excellent / Deep knowledge of probability, statistical and machine learning models with proven track record in choosing, modifying and applying advanced algorithms to address practical problems
• Excellent communication skills - ability to present research results in a clear and meaningful manner
• Ability to interact with business partners with confidence - Understand and identify use cases and present solutions in an articulate manner
• High proficiency in Python
• Experience with SQL or related query languages
• Advantages
  • Experience in big data platforms (e.g. GCP)
  • Experience in XDR/EDR/NDR products
  • Working with LLM models

The Team

Our engineering team is at the core of our products and 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.

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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 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.