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Principal Machine Learning Engineer (WildFire)
Principal Machine Learning Engineer (WildFire)-March 2024
Santa Clara
Mar 17, 2025
ABOUT PALO ALTO NETWORKS
Palo Alto Networks provides robust, innovative protection against cyberattacks.
10,000+ employees
Technology
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About Principal Machine Learning Engineer (WildFire)

  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.

  Our Approach to Work

  We 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.

  Job Description Your Career

  We are the WildFire Team in the Content Delivered Security Service (CDSS) organization. Our engineering and Security Research team is at the core of our products and deliver the best of security services in the cloud to prevent cyberattacks. We are constantly innovating and challenging the way we, and the whole industry, think about cybersecurity. Our engineers don't shy away from building products to solve problems no one has pursued before.

  As a member of the team, you will work with researchers on implementing different projects that detect and defend against various emerging threats. You will be a key person in transforming ideas into products which are part of the next generation security platform. The team is responsible for innovating new security techniques.

  Your Impact

  Apply ML/AI methods to various security problems for detection improvementArchitect and assume end-to-end ownership of ML/AI implementations while optimizing for scalability, performance and code qualityBe a Technical Leader to develop and drive ML/AI best practices and processes across the boardDiscover new opportunities to apply ML/AI to solve critical problemsMentor and coach junior engineers in the team Qualifications Your Experience

  Proficiency in any of the programming languages - Python, Java or Golang5+ years industry engineering experience and at least 3 years as a machine learning engineer or data scientistProven track record in solving real world problems by applying ML/AI techniquesPrior experience building and deploying ML models in production at scaleHave a strong working knowledge of machine learning algorithms such as XGBoost, CNNs, etcExperience with deep learning frameworks such as PyTorch and TensorFlow, Computer Vision, NLP, or related areas is a big plusExperience or knowledge in LLM and hands on fine tune experience is a big plusExperience with cloud platforms (GCP/AWS/Azure) and Kubernetes is a plusHands on and can-do attitude, willing to learn new technologiesMS / PhD in computer science/engineering, or equivalent experience or equivalent military experience required Additional Information The Team

  To stay ahead of the curve, it’s critical to know where the curve is, and how to anticipate the changes we’re facing. For the fastest growing cybersecurity company, the curve is the evolution of cyberattacks, and the products and services that proactively address them. Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. They are constantly innovating – challenging the way we, and the industry, think about cybersecurity. These engineers aren’t shy about creating products to solve problems no one has tackled before. They define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, excited by the prospect of challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

  Our engineering team is provided with an unrivaled opportunity to build the products and practices that will support our company growth over the next decade, defining the cybersecurity industry as we know it. If you see the potential of how incredible people can transform a business, this is the team for you. If you don’t wait for directions, instead, identifying new features and opportunities we have to just get better, this is your new career.

  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 $146,900/yr to $215,000/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

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