WildFire- Principal 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.

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 WildFire Team in the Content Delivered Security Service (CDSS) organization. Our engineering and Security Research team is at the core of our products and deliver the best of security services in the cloud to prevent cyberattacks. We are constantly innovating and challenging the way we, and the whole industry, think about cybersecurity. Our engineers don't shy away from building products to solve problems no one has pursued before.

As a member of the team, you will work with researchers on implementing different projects that detect and defend against various emerging threats. You will be a key person in transforming ideas into products which are part of the next generation security platform. The team is responsible for innovating new security techniques.

Your Impact

• Apply ML/AI methods to various security problems for detection improvement
• Architect and assume end-to-end ownership of ML/AI implementations while optimizing for scalability, performance and code quality
• Be a Technical Leader to develop and drive ML/AI best practices and processes across the board
• Discover new opportunities to apply ML/AI to solve critical problems
• Mentor and coach junior engineers in the team

Qualifications

Your Experience

• Proficiency in any of the programming languages - Python, Java or Golang
• 5+ years industry engineering experience and at least 3 years as a machine learning engineer or data scientist
• Proven track record in solving real world problems by applying ML/AI techniques
• Prior experience building and deploying ML models in production at scale
• Have a strong working knowledge of machine learning algorithms such as XGBoost, CNNs, etc
• Experience with deep learning frameworks such as PyTorch and TensorFlow, Computer Vision, NLP, or related areas is a big plus
• Experience or knowledge in LLM and hands on fine tune experience is a big plus
• Experience with cloud platforms (GCP/AWS/Azure) and Kubernetes 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

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 incre