Palo Alto Networks Sr Staff Machine Learning Engineer (Data Scientist - Wildfire) in Santa Clara, California
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!
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.
Apply ML/AI methods to various security problems
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
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) 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
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.
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 firstname.lastname@example.org .
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 your degree or progress toward degree , qualifications, experience, and work location. For candidates who receive an offer, the starting rate is expected to be $175,000/yr for the specific role.
Is role eligible for Immigration Sponsorship?: Yes