Chief Machine Learning Engineer (Internet of Things)

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 challenging the status quo and disrupting traditional ways of doing things. We want to work with innovators who are committed to shaping the future of cybersecurity as much as we are.

FLEXWORK is our employee-centered approach to work. We developed FLEXWORK based on feedback from our employees – it's about flexibility, trust, and giving choice whenever possible. It reflects our belief in disruption and embodies our values. We offer as much flexibility as possible and choices to maximize productivity. We offer benefits that cater to your needs and learning opportunities that align with your passions.

Our Approach to Work

At Palo Alto Networks, we value collaboration and in-person interactions. Hence, our employees typically work from the office three days per week, reserving two days for choice and flexibility to work where they feel most effective. This arrangement encourages informal conversations, problem-solving, and building trusted relationships. Our goal is to foster an environment where innovation thrives, with office-based teams coming together, three days a week, to collaborate and grow.

Job Description

Your Career

At Palo Alto Networks, we have developed a firewall-as-a-platform that processes vast amounts of network data from hundreds of thousands of customer deployments and millions of users. We use data science and machine learning extensively to analyze network traffic, protect user data and networks from malicious exploits and attacks, and provide insightful knowledge for our customers' OT operations. You will work with top-tier data scientists, software developers, and security researchers, being part of a stellar team unlocking the value of data. You'll conduct research and participate in product development that builds a platform to protect the ever-growing Internet of Things, solve increasing challenges in cybersecurity, and push technology evolution that positively impacts business and communities.

This role is based at our headquarters in Santa Clara, California.

Your Impact

• Discover new data and vulnerability insights by analyzing IoT network traffic data, and by mining IoT data, and possibly threat hunting
• Model and analyze network data, identify IoT devices and their associated risks using a network data set
• Design and implement machine learning algorithms that analyze data, detect threats, and discover insights
• Build tools and automation required for IoT network data analytics with the capacity to leverage new software techniques
• Support requests from field teams and customers in response to their security incidents, new trending threats, malware campaigns, and forensics offered by the IoT security platform, and generate customized reports with data insights

Qualifications

Your Experience

• 10-15  years of industry experience, including at least 5 years as a Machine Learning Engineer or Researcher
• Solid understanding of ML algorithms, including supervised and unsupervised learning, as well as deep learning frameworks like TensorFlow, , Keras, etc.
• Ability to design and implement large ML projects from conceptualization to delivery
• Knowledge of cloud platforms (AWS, GCP) and typical “big  data” processing pipeline
• Familiarity with common ML Data Pipeline
• Ability to manipulate large data sets with high dimensionality and complexity (SQL, Redshift, Mongo, Redis)
• Practical experience, able to learn by building and reduce solution ambiguity through targeted prototype development and testing.
• Domain knowledge in network security, network data analytics, and enterprise networking system
• Interest in cybersecurity; passion for technology that protects people
• Proficiency in Python and Java;  solid understanding of design patterns
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment and interact with stakeholders from different backgrounds.
• A team-first player who understands the value of collaboration
• Experience leading projects
• Graduate level degree in Computer Science or related engineering degree or PhD

Additional Information

The Team

We don't wait for directions, we define the industry. We welcome individuals who are comfortable with ambiguity, excited by challenges, and empowered by the unknown risks inherent in our daily lives, which are only made possible by a secure digital environment.

Our Commitment

We're trailblazers who dream big, take risks, and challenge the cybersecurity industry's status quo. We can't fulfill our mission without diverse teams innovating together.

We're 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 .

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 any other legally protected characteristic.

All your information will be kept confidential according to EEO guidelines.

The compensation for this position will depend on qualifications, experience, and work location. Candidates who receive an offer at the posted level can expect a starting base (for non-sales roles) or base salary + commission target (for sales/commissioned roles) to be between $172,800/yr to $222,405/yr. The offered compensation may also include restricted stock units and a bonus. Our employee benefits can be found .