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.

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.

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.

Job Description

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

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

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 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