Job 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.

Who We Are

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 Career

The 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 Researcher with Machine Learning expertise to join our team to research, design, and develop innovative ML models, threat detection systems and infrastructure for protecting customers against constantly evolving online threats and attacks. 

Your Impact

• Track and research emerging online threats and innovate new AI-powered automated ways to identify malicious indicators used by malicious websites and URLs

• Leverage frontier technologies in ML and AI to build novel detection ML models and algorithms, as well as other data-driven techniques 

• Design, develop, test, threat prevention and detection systems to protect enterprise customers around the globe 

• 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

Qualifications

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

• Hands-on experience in applying Machine Learning within the domain of Web Security and building detection models

• Experience with browser and/or email security is a plus

• Experience with malware traffic analysis, signature mining, sandboxing is a plus 

• Experience with crawling infrastructures and security scanners is a plus 

• Knowledge and experience with modern machine learning technique and algorithms (including NLP and OCR), workflows and pipelines to train and build models

• Experience with Tensorflow, PyTorch, Vertex AI

• Strong engineering skills and ability to fastly learn and adapt to new programming languages and technologies

• Strong programming skills in Python and Shell scripting

• Advanced programming skills in JavaScript and Golang is a plus

• Experience with developing REST APIs and microservices is a plus

• 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

• Must have MS/PhD and 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

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.

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 $162700 - $263150/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found  here .

Our Commitment

We’re problem solvers that 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.

Job Tags

Full time, Work experience placement, Work at office,

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