Principal Machine Learning Engineer

Our Mission

At Palo Alto Networks®, we're united by a shared mission-to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you're ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you're in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Description

Your CareerThe Web Security Research team is responsible for delivering high quality AI powered solutions to prevent successful cyberattacks and protect our customers, with a special focus on malicious and phishing URL detection, browser, network and email security. We are looking for a motivated and creative Security Researcher to join our team to research, design, and develop innovative detection systems, ML models and infrastructure for protecting customers against constantly evolving online threats and attacks. Your ImpactTrack and research emerging online threats and innovate new AI-powered automated ways to identify malicious indicators used by malicious websites and URLsLeverage data-driven techniques and frontier technologies in ML and AI to build novel detection models for malicious URL detection and blockingDesign, develop, test, threat prevention and detection systems to protect enterprise customers around the globe Convert research results and discoveries into real-impact innovative productsImplement and maintain complex software pipelines and data infrastructures with challenging requirements on high quality and performanceWork across teams to deliver production-impact projects

Qualifications (Additional Job Description)

Your Experience Creative thinker and team player with a passion for data-driven security research, and building high quality, complex systems as a part of an incredible research teamStrong Web Security background and expertise in detecting security threats over the Internet, such as, phishing, fraud, botnet, spamExperience with browser and/or email security is a plusExperience with malware traffic analysis, signature mining, sandboxing is a plus Experience with crawling infrastructures and security scanners is a plus Hands-on experience in applying Machine Learning within the domain of Web Security and building detection modelsExperience with Tensorflow, PyTorch, or Vertex AIKnowledge and experience with modern machine learning technique and algorithms (including NLP and OCR), workflows and pipelines to train and build models is a plusStrong engineering skills and ability to fastly learn and adapt to new programming languages and technologiesStrong programming skills in Python and Shell scriptingAdvanced programming skills in JavaScript and Golang is a plusExperience with developing REST APIs and microservices is a plusKnowledge and experience with modern databases and Big Data tools, such as ELK stack, MySQL, MongoDB, Redis, Kafka, RabbitMQ, BigQuery, Bigtable is a plusKnowledge and experience with Docker and Kubernetes is a plusExperience with cloud computing platforms, such as GCP, AWS, Azure is a plusMust have MS/PhD or 2+ years of relevant industry experience or equivalent military experience requiredStrong research, communication and presentational skillsPast work experience in early-stage, fast-growth startups is a plusPast experience on open source projects is a plus