Sr Machine Learning Engineer (AI/ML/NLP/Generative AI)

Company DescriptionOur MissionAt 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.Our Approach to WorkWe lead with flexibility and choice in all of our people programs. We have disrupted the traditional view that all employees have the same needs and wants. We offer personalization and offer our employees the opportunity to choose what works best for them as often as possible - from your wellbeing support to your growth and development, and beyond!At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work from the office three days per week, leaving two days for choice and flexibility to work where you feel most effective. This setup fosters casual conversations, problem-solving, and trusted relationships. While details may evolve, our goal is to create an environment where innovation thrives, with office-based teams coming together three days a week to collaborate and thrive, together!This role is located at our headquarters campus in Santa Clara, California. This is not a remote opportunity.Job DescriptionYour CareerYou 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.Your ImpactYou 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.QualificationsYour ExperienceFormal 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+ years of 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.Additional InformationThe TeamDrawing 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 CommitmentWe’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 your

degree or progress toward degree , qualifications, experience, and work location. For candidates who receive an offer, the starting rate is expected to be $175,000/yr for the

specific role.Is role eligible for Immigration Sponsorship?: Yes

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