Your Career

　　You will have the opportunity to build a career solving network security challenges leveraging advanced machine learning techniques on exabytes 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.

　　We expect office-based employees to be in the office four days per week, with one day working from where they choose. We believe being together facilitates casual conversations and those magic moments where we can work on issues and ideas informally. These moments build capability and deepen trusted relationships and allow our people to feel safe in taking risks and being disruptive. Like so many companies, we are working through the details, and things could change …. but in general if a role is deemed office-based we want our teams to be together four days per week.

　　Your Impact

　　You will work in a fast-paced team to create and deliver new products and mission-critical features to the security platform that many customers use daily

　　You will actively engage and contribute to the security community through collaborations

　　You will be part of the team that is leading and driving industry technology evolution in security and creating a positive impact on business

　　Design and development of workflow frameworks (using formal methods and algorithms), with result collection and visualization, monitoring tools

　　Creation and delivery of training materials

　　Your Experience

　　Formal background and experience in both causal inference methods and causal discovery approaches. Including classical techniques like Propensity Score, matching, difference in difference, and also new techniques like double machine learning or Potential Outcomes.

　　2+ years of industry experience (or equivalent education + experience) in Machine Learning techniques and data analysis. Experience with Timeseries, Causality, and NLP is a plus.

　　4+ experience in design, algorithms, and data structures - Expertise with one or more of the following languages is a must - Java, Python

　　Proven capacity to go beyond ML algorithms and models by contributing to the design and implementation of services and pipelines that expose ML artifacts.

　　Experience with deep learning frameworks such as PyTorch and TensorFlow, Huggingface Transformers, or related is a plus.

　　Hands-on experience with causal inference libraries and frameworks.

　　Excellent communication skills with the ability to influence at all levels of the organization

　　A self-driven individual contributor and an excellent team player

　　M.S. or Ph.D. degree in Computer Science, Mathematics, Electrical Engineering, or a related field or equivalent military experience required

　　The Team

　　Drawing on the near real-time data collected through PAN-OS device telemetry, our industry-leading next generation insights product (AIOps for NGFW) 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. You will be working on the best large language model in the cyber security industry.

　　Our Commitment

　　We’re trailblazers who 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.

　　"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 $132600 - $195500. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here (http://benefits.paloaltonetworks.com/) .

　　All your information will be kept confidential according to EEO guidelines.

　　Is role eligible for Immigration Sponsorship?: Yes