Intern - Machine Learning Engineer

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

We are looking for a brilliant Machine Learning Engineer that wants to make a career out of using machine learning to address security problems. Previous intern projects include building novel ML models to detect online shopping scams, building a classifier to identify sensitive documents for DLP, building a classifier to detect malicious Javascript pages (which eventually led to several patents), upgrading production systems to use deep learning models instead of traditional ML models, and building Machine-Learning-As-A-Service pipelines.  A high percentage of ML Engineer interns join the Palo Alto Networks team full time.

Your Impact

• Learn to apply Machine Learning in a production environment

• Conduct research related to security and threat detection

• Work on distributed clusters with large amounts of data

Qualifications

Your Experience

Minimum Qualifications

• Strong working experience applying supervised and/or unsupervised machine learning algorithms on various types of data.

• Strong working knowledge of NLP techniques or document classifications.

• Strong working knowledge of different machine learning architectures such as transformers and convolutional networks.

• Proficient on Python, Java, Linux OS, and shell scripting.

Preferred Qualifications

• Research experience in web content classification or threat (e.g. phishing, malware, scam, fraud) detection

• Experience with cloud platforms (GCP, AWS) and container-based development (Docker and Kubernetes)

• Experience with database systems such as MongoDB, MySQL, or similar

• Be comfortable working independently

• Ability to come up with novel solutions to difficult problems

To apply, you must be pursuing a 2-year Master’s Degree or a Doctorate degree and returning to school in the fall. You must have the authorization to work within the United States

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 may be facing. For the fastest growing cybersecurity company, the curve is the evolution of cyber attacks, and the products and services that proactively address them. As a predictive enterprise environment, we analyze petabytes of data that pass through our walls daily and we hire the most talented minds in data science to build creative predictive analytics and machine learning solutions for our cybersecurity solutions.

Our Summer Internship Program from May-August or June-September provides you: 

• 1:1 mentorship

• Fun and engaging events that inspire your intellectual curiosity

• The opportunity to expand your knowledge and work on challenging projects

• Connections to other recent grads, and employees across the company as well as our leaders

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.

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.

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.