Palo Alto Networks

Senior Machine Learning Data Engineer

Job description

Company 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.

We have the vision of a world where each day is safer and more secure than the one before. These aren’t easy goals to accomplish – but we’re not here for easy. We’re here for better. 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.

Disruption is at the core of our technology and on our way of work to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. We’re changing the nature of work from benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks. And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, together.


Job Description


Your Career

You will be part of the team that develops the cloud-based detection service to power the Palo Alto Networks next generation firewall. The detection service team is responsible for developing cloud-based security solutions that identify the advanced threats on enterprise customers’ networks.

As a member of the detection service team, you have the opportunity to work on different projects to enable customers to have cloud detection on the exploits and APT attacks as well as their mitigation.

Your Impact

  • Design and develop the large-scale and efficient machine learning ETL pipelines to serve multiple detection applications

  • Design and implement the database and data storage for day-to-day machine learning training, feature engineering and model validation

  • Build auto-scale data engineering systems using Google Cloud (GCP) toolkits with high performance computation

  • Build and monitor the dashboard to evaluate machine learning metric and performance and raise alerts if a model is not performing well

  • Handle cloud deployment requirements from data scientists

  • Develop machine learning based detection engines for new attacking vectors

  • Blog and conference publications


Qualifications


Your Experience

  • Team player, and good communication skills to work with cross-functional groups

  • Proven track record of delivering the large-scale data engineering systems for machine learning projects

  • Strong software engineering skills in scripting languages (Bash, Python). Knowledge of Go is a plus

  • Deep understanding of Google Cloud toolkits for data engineering and machine learning; Hands-on experience of applying them into previous projects, such as BigQuery, GCP Spark, Dataproc, Dataflow, Kubeflow etc.

  • Experience and knowledge of popular free and commercial toolsets, for example, Elastic Search, MySQL, Grafana, MongoDB, SnowFlake, Data Brick etc

  • Track record of implementing related GCP services in a variety of business such as enterprises and start-ups

  • Ability to understand the complex application data flows and bridge the gap between the data scientists and infra team

  • Basic knowledge of machine learning model building and testing

  • BS/MS in Computer Science or Computer Engineering or related experience

  • Curiosity to learn machine learning toolkits, algorithms and model building is a plus

  • Experience with malware detection and network traffic analysis is a plus

  • Security Blogs and Talks on the top security conference like Blackhat, Defcon are a big 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 products 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.

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.

Palo Alto Networks is evolving and changing the nature of work to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. From benefits to learning, location to leadership, we’ve rethought and recreated every aspect of the employee experience at Palo Alto Networks. And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, 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.

Covid-19 Vaccination Information for Palo Alto Networks Jobs

  • Vaccine requirements and disclosure obligations vary by country.
  • Unless applicable law requires otherwise, you must be vaccinated for COVID or qualify for a reasonable accommodation if:
    • The job requires accessing a company worksite
    • The job requires in-person customer contact and the customer has implemented such requirements
    • You choose to access a Palo Alto Networks worksite
  • If you have questions about the vaccine requirements of this particular position based on your location or job requirements, please inquire with the recruiter.

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