Principal Machine Learning Engineer (Network Traffic)

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.

Our vision is a world where each day is safer and more secure than the one before. 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.

Our Approach to Work

We lead with flexibility and choice in all of our people programs. We have disrupted the traditional view that all employees have the same needs and wants. We offer personalization and offer our employees the opportunity to choose what works best for them as often as possible – from your wellbeing support to your growth and development, and beyond!

At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work from the office three days per week, leaving two days for choice and flexibility to work where you feel most effective. This setup fosters casual conversations, problem-solving, and trusted relationships. While details may evolve, our goal is to create an environment where innovation thrives, with office-based teams coming together three days a week to collaborate and thrive, together!

Job Description

Your Career

We are the App-ID Team in the Content Delivered Security Service (CDSS) organization. We develop the content to power the Palo Alto Networks’s next generation firewall. The App-ID team is responsible for decoding network protocols, identifying applications and detecting evasive behavior and threats on enterprise customers’ networks.

The team is responsible for innovating new application identification techniques. As a member of the team, you will work with researchers on implementing projects that apply different methods to identify applications. You will be a key person in transforming ideas into products which are part of the next generation security platform. 

Your Impact

• Apply ML/AI methods to various problems
• Architect and assume end-to-end ownership of ML/AI implementations while optimizing for scalability, performance and code quality
• Research application behaviors and find solutions for app identification
• Discover new opportunities to apply ML/AI to solve critical problems

Qualifications

Your Experience

• Proficiency in any of the programming languages – Python, Java or Golang
• Proven track record in solving real world problems by applying ML/AI techniques
• Have a strong working knowledge of machine learning algorithms such as XGBoost, CNNs, etc
• Experience with deep learning frameworks such as PyTorch and TensorFlow, and experience in CV, NLP, or related areas is a plus
• Experience or knowledge in LLM and hands on fine tune experience is a big plus
• Experience with cloud platforms (GCP/AWS/Azure) is a plus
• Hands on and can-do attitude, willing to learn new technologies
• MS / PhD in computer science/engineering, or equivalent experience or equivalent military experience required

Additional Information

The Team

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. 

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 [email protected].

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.

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 $146,900/yr to $229,369/yr. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.  

Is role eligible for Immigration Sponsorship?: Yes