Palo Alto Sr Staff Security Researcher Web 

United States, California 

932669808

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Track and research emerging online threats and innovate new automated ways to identify malicious indicators used by malicious websites and URLs
• Design, develop, test and release threat prevention and detection systems to protect enterprise customers around the globe
• Leverage frontier technologies in ML and AI, as well as other data-driven techniques
• Convert research results and discoveries into real-impact innovative products
• Implement and maintain complex software pipelines and data infrastructures with challenging requirements on high quality and performance
• Work across teams to deliver production-impact projects

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 team
• Strong Web security background and expertise in detecting security threats over the Internet, such as, phishing, fraud, botnet, spam
• Experience with malware traffic analysis, signature mining, sandboxing is a plus
• Experience with crawling infrastructures and security scanners is a plus
• Experience with email security is a plus
• Strong engineering skills and ability to fastly learn and adapt to new programming languages and technologies
• Advanced programming skills in Python, JavaScript/Node.js, Shell scripting
• Advanced programming skills in Golang is a plus
• Experience with developing REST APIs and microservices
• Knowledge and experience with modern databases and Big Data tools, such as ELK stack, MySQL, MongoDB, Redis, Kafka, RabbitMQ, BigQuery, Bigtable is a plus
• Knowledge and experience with Docker and Kubernetes is a plus
• Experience with cloud computing platforms, such as GCP, AWS, Azure is a plus
• Knowledge and experience in machine learning techniques, workflows and algorithms, such as k-NN, SVM, Decision Trees, Random Forest, CNN and RNN
• Experience with implementing complex data-driven systems and ML pipelines is a plus
• Must have MS/PhD in Computer Science / Software Engineering (PhD in Computer Security or Privacy is preferred), or 2+ years of relevant industry experience or equivalent military experience required
• Strong research, communication and presentational skills
• Past work experience in early-stage, fast-growth startups is a plus
• Past experience on open source projects is a plus

Compensation Disclosure

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 $136000 - $219000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

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