Principal Machine Learning Engineer (URL Filtering Data Science)

Your Career

As a member of the Internet Security Research Team specifically Advanced URL Filtering Data Science, you will work closely with data scientists, security researchers, and other engineers on implementing different projects to detect and defend against various emerging threats in the areas of Web Security. You will build machine learning models and develop big data and distributed systems that use the models to analyze and categorize an enormous amount of URLs. You will be a key person in transforming ideas into products which are part of the next generation security platform. The Internet Security Research Team is responsible for innovating new security techniques.

Your Impact

• Design and build machine learning systems while balancing cost and model performance
• You'll be responsible for productionizing your models/services and integrating with our back-end services and pipelines
• Set up automated training pipelines and develop data analytics tools to incrementally improve our performance on a growing dataset
• Collaborate closely with other experts on the team and Product Managers to gather requirements, design, and implement systems
• Work with other engineers and SREs on release/deployment

Your Experience 

• Proven creative thinker and team player, with great communication and collaboration skills and desire to make differences
• Proficient in NLP, Deep Learning, Machine Learning, LLM techniques (e.g. transformers, convolutional networks)
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture (e.g., Scikit-learn, MLlib, Tensorflow, Keras, PyTorch, Kubeflow)
• Capable of working independently and coming up with innovative solutions to difficult problems
• Working experience with website classifications is a plus
• Proficient in Python, Java, Linux OS, and shell scripting
• Experience with cloud platforms (GCP,  AWS) and container-based development (Docker, Kubernetes)
• Familiar with database systems such as MySql, MongoDB, or similar
• MS/Ph.D in Computer Science or a related field specialized in Machine Learning, with 4+ years industry experience or equivalent military experience required

The Team

We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity of creating on new frontiers, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment. 

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 $179000 - $230000/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.