
Sr Staff Machine Learning Engineer (Internet Security)
Role summary
Palo Alto Networks is seeking a Sr Staff Machine Learning Engineer for their Internet Security Research Team. This role involves building machine learning models and developing big data/distributed systems to analyze URLs for cybersecurity applications. The engineer will contribute to transforming ideas into products for the next-generation security platform. Responsibilities include building threat research systems, collaborating with product managers on requirements and specifications, implementing solutions, and working with SREs on deployment and monitoring. The position requires a BS/MS in Computer Science or related field with 4+ years of experience, proficiency in Golang or Java, Python, cloud platforms, containerization, databases, big data technologies like Spark, and a foundational understanding of ML and web content classification. This is a hybrid role based in Santa Clara, California.
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 Summary
Your Career
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. The Internet Security Research Team is responsible for innovating new security techniques.
This role is located at our dynamic Santa Clara California headquarters campus, and required in office 3 days a week. This is not a remote role.
Your Impact
- Build and maintain threat research systems for both customer-facing products and internal infrastructures.
- Work closely with team members and Product Managers to collect product requirements, create design drafts, and develop functional specifications.
- Implement solutions by adhering to software development guidelines and best practices.
- Work with SREs on production release/deployment and monitoring.
Qualifications
Your Experience
- BS/MS in Computer Science, Computer Engineering, or related field and 4+ years experience.
- Creative thinker and team player, with good communication skills and a desire to make differences.
- Experience in Golang or Java. Experience in Python.
- Aptitude to design, implement, and deploy backend services and data pipelines; conduct regression and integration tests.
- Knowledge of in cloud platforms (GCP, AWS, Azure) and container-based development (Docker, Kubernetes).
- Knowledge of web development technologies such as Javascript or Typescript is a plus
- Experience in Linux OS and shell scripting.
- Experience in database systems such as MongoDB, MySQL, or similar.
- Experience with Big data, distributed systems, and ETL pipelines such as Spark.
- Have basic knowledge of Machine Learning and Web Content Classification.
- Hands-on and humble attitude, self-directed and passion in cybersecurity.
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/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
$126,000.00 - $204,500.00/yr
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 accommodations@paloaltonetworks.com.
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.
Is role eligible for Immigration Sponsorship?: Yes
Sample Palo Alto Networks interview questions
- 1
What are the key components and considerations in designing a real-time newsfeed?
system designmedium - 2
What maximum bandwidth does a switched Fibre Channel network support?
technicalmedium - 3
Pacific and Atlantic Water Flow Calculate water flow from a matrix to the Pacific and Atlantic oceans. Input: heights = [[2,1],[1,2]] Output: [[0,0],[0,1],[1,0],[1,1]] Explanation: All cells can flow to both oceans because water can move to adjacent cells of equal or lower height or directly off the edges.
technicalmedium - 4
Aggressive Cows Maximize the minimum distance between aggressive cows in stalls. Input: stalls = [0,4,3,7,10,9], cows = 3 Output: 4 Explanation: Placing the cows at positions 0, 4, and 10 yields a maximum possible minimum distance of 4 between any two cows.
technicalmedium - 5
What series of events take place when you type traceroute and hit enter?
technicalmedium
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