Sr Staff Machine Learning Engineer (DNS Security)

Palo Alto Networks

Sr Staff Machine Learning Engineer (DNS Security)

Santa Clara, CA
Full Time
Paid
  • Responsibilities

    Job Description

    Your Career

    The DNS Security Research team is responsible for delivering high quality content to our products to prevent successful cyberattacks, with a special focus on DNS security, network security, privacy protection, etc. We design, build, and maintain various detection systems and data infrastructures to protect customers against constantly evolving threats and attacks.

    Your Impact

    • Track and research emerging threats and innovate new ways to identify malicious indicators used by malware and attacks, including domains, URLs, IP addresses, sha256, email addresses, etc.;
    • Design and build scalable and extensible prevention/detection systems;
    • Leverage data-driven approaches, such as statistical analysis, machine learning, and other advanced techniques;
    • Convert research results and discoveries into products, research papers, etc.
  • Qualifications

    Qualifications

    Your Experience

    • BS/MS in Computer Science or related fields with security research experience; PhD in Cyber Security or Machine Learning is a plus.
    • Creative thinker and team player. Have great passion and be highly self-motivated in data-driven security research;
    • Expertise in DNS and DNS security;
    • Good knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, Logistic Regression, Deep Learning, and Boosting;
    • Familiar with large-language models (LLMs) and experience to leverage them to address cybersecurity threats;
    • Excellent programming skills in Python, Shell script, Go, or SQL;
    • Understanding of core network protocols (TCP/IP, HTTP/HTTPS, etc.);
    • Knowledge and experience with modern databases and big data tools, such as MySQL, MongoDB, Elasticsearch, Redis, BigQuery;
    • Be comfortable working independently, efficiently;
    • Excellent communication (written and verbal) and presentation skills;
    • Experience with malware traffic analysis is a plus;
    • Experience with graph database (e.g. Neo4j, Amazon Neptune), graph-based analysis is a plus;
    • Experience with Google Cloud Platform is a plus;
    • Proven success (past publication record, open source project contributions) is a big plus.

    Additional Information

    The Team

    We are on a mission to build the industry's best Security large language model.

    Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before.

    We define the industry, instead of waiting for directions. We need individuals who feel comfortable in ambiguity, 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 $136000 - $219000/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 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