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    Sr Principal Machine Learning Engineer - Santa Clara, CA, United States - Penn Foster

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    Description
    At Palo Alto Networks everything starts and ends with our mission:
    Being the cybersecurity partner of choice, protecting our digital way of life.

    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.

    You will have the opportunity to build a career solving network security challenges leveraging advanced machine learning techniques on exabytes of data.

    You will help create and deliver the most advanced AI and Machine Learning enabled solutions to discover threats, provide intelligence and protect devices.

    We expect office-based employees to be in the office four days per week, with one day working from where they choose.

    We believe being together facilitates casual conversations and those magic moments where we can work on issues and ideas informally.

    These moments build capability and deepen trusted relationships and allow our people to feel safe in taking risks and being disruptive.

    but in general if a role is deemed office-based we want our teams to be together four days per week.

    You will work in a fast paced team to create and deliver new product and mission features to the security platform that many customers use on a daily basis
    You will actively engage and contribute to the security community through collaborations
    Design and development of workflow frameworks (using formal methods and algorithms), with result collection and visualization, monitoring tools
    Creation and delivery of training materials

    D degree in Computer Science, Mathematics, Electrical Engineering or related field or equivalent military experience required
    8+ years industry experience in Machine Learning techniques and data analytics
    8+ experience in design, algorithms and data structures - Expertise with one or more of the following languages is must - Java, C++, Python, Rust

    Drawing on the near real-time data collected through PAN-OS device telemetry, our industry-leading next generation insights product (AIOps for NGFW) gives large cybersecurity operators a force multiplier that provides visibility into the health of their next-generation-firewall (NGFW) devices.

    It enables early detection of issues at various levels of the stack via advanced time-series forecasting and anomaly detection using novel deep learning techniques.

    You will be working on the best large language model in the cyber security industry.
    We're trailblazers that dream big, take risks, and challenge cybersecurity's status quo. 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 .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.

    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 $166,600/yr to $269,500/yr.

    The offered compensation may also include restricted stock units and a bonus.


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