Senior Staff Machine Learning Engineer (Internet of Things)

Company Description

Our Mission

At Palo Alto Networks® everything begins and ends with our mission:

To be the cybersecurity provider of choice, safeguarding our digital lifestyle.

Our vision is for a world that's safer and more secure with each passing day. As a company, we are grounded in the ethos of challenging and disrupting the status quo, and are always on the lookout for innovators who share the same commitment to shaping the future of cybersecurity as we do.

Our Approach to Work

We value flexibility and choice across all our people programs. We have veered away from the traditional view that all employees have identical needs and desires. We cater to individual needs, allowing our employees to choose what suits them best whenever possible - whether in terms of well-being support, growth and development, and more!

At Palo Alto Networks, we believe in the power of teamwork and understand the value of in-person interactions. Thus, our employees typically work from the office three days a week, with the other two days offering the choice and flexibility of working from wherever they feel most effective. This arrangement encourages casual conversations, problem-solving, and trust-building. While details may be subject to change, our aim is to foster an environment conducive to innovation, with office-based teams joining forces three days a week to collaborate and excel, together!

Job Description

Your Career

At Palo Alto Networks, we have developed a firewall-as-a-platform capable of processing enormous quantities of network data from hundreds of thousands of customer deployments and millions of users. We extensively leverage data science and machine learning to analyze network traffic, protect users' data and networks from harmful exploits and attacks, and provide our customers with invaluable knowledge for their OT operations.

You will have the chance to work alongside some of the most talented data scientists, software developers, and security researchers, and be a key part of a fantastic team that helps unlock the value of data. You will conduct research and participate in product development aimed at creating a platform to protect the ever-increasing number of Internet of Things, tackle the ever-growing challenges in cybersecurity, and drive technological evolution that leaves a positive impact on business and communities.

This role is based at our Santa Clara, California Headquarters.

Your Impact

• Discover new data and breach insights by analyzing IoT network traffic data, and conducting IoT data mining and potentially threat hunting.
• Model and analyze network data, identify IoT devices and their associated risks using a network dataset.
• Design and implement machine learning algorithms to analyze data, detect threats, and uncover insights.
• Build tools and automation required for IoT network data analytics, capable of utilizing new software techniques.
• Respond to requests from field teams and customers regarding their security incidents, new trending threats or malware campaigns, forensics facilitated by the IoT security platform, and generate personalized reports with data insights.

Qualifications

Your Experience

• A minimum of 5 years of industry experience, including at least 3 years as a Machine Learning Engineer or Researcher.
• A strong understanding of Machine Learning algorithms, including supervised and unsupervised learning, as well as deep learning frameworks like TensorFlow, PyTorch, Keras, etc.
• Familiarity with cloud platforms (AWS, GCP).
• Ability to manipulate large and complex datasets (SQL, Redshift, Mongo, Redis).
• Hands-on builder experience, ability to learn through building, and reduce solution ambiguity through targeted prototype development and testing.
• Domain knowledge in network security, network data analytics, and enterprise networking system.
• A career interest in cybersecurity and a passion for technology that helps protect people.
• Proficiency in Python and Java, and solid understanding in design patterns.
• Excellent communication and collaboration skills, with the ability to thrive within a team environment and interact effectively with stakeholders from various backgrounds.
• A team player who appreciates the value of collaboration.
• Experience in leading projects.
• An advanced degree in Engineering or Computer Science or equivalent military experience required.

Additional Information

The Team

We are industry pioneers, always leading, never following. We seek individuals who are comfortable with ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks that our everyday lives face in a secure digital environment.

Our Commitment

We are trailblazers who dream big, take risks, and challenge the cybersecurity status quo. Simply put, we cannot accomplish our mission without diverse teams innovating together.

We are committed to providing reasonable accommodations for all 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 any other legally protected characteristics.

All your information will be kept confidential in accordance with EEO guidelines.

The compensation for this position will depend on qualifications, experience, and work location. If an offer is extended 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 $175,000/yr. This compensation may also include restricted stock units and a bonus. A description of our employee benefits can be found here.