Sr Staff Machine Learning Engineer (DNS Security) at Palo Alto Networks

Santa Clara, California, United States -

Full Time

Start Date

Immediate

Expiry Date

23 Jan, 26

Salary

219000.0

Posted On

25 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Yes

Skills

Machine Learning, DNS Security, Statistical Analysis, Data-Driven Approaches, Programming Skills, Core Network Protocols, Big Data Tools, Malware Traffic Analysis, Graph Database, Google Cloud Platform, Communication Skills, Team Player, Creative Thinking, Self-Motivated, Research Experience, Extensible Systems

Industry

Computer and Network Security

Description

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. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few! At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career The DNS Security Research team is responsible for delivering high quality content to our products to prevent successful cyberattacks, with a special focus on DNS security, network security, privacy protection, etc. We design, build, and maintain various detection systems and data infrastructures to protect customers against constantly evolving threats and attacks. Your Impact Track and research emerging threats and innovate new ways to identify malicious indicators used by malware and attacks, including domains, URLs, IP addresses, sha256, email addresses, etc.; Design and build scalable and extensible prevention/detection systems; Leverage data-driven approaches, such as statistical analysis, machine learning, and other advanced techniques; Convert research results and discoveries into products, research papers, etc. Qualifications Your Experience BS/MS in Computer Science or related fields with security research experience; PhD in Cyber Security or Machine Learning is a plus. Creative thinker and team player. Have great passion and be highly self-motivated in data-driven security research; Expertise in DNS and DNS security; Good knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Trees, Logistic Regression, Deep Learning, and Boosting; Familiar with large-language models (LLMs) and experience to leverage them to address cybersecurity threats; Excellent programming skills in Python, Shell script, Go, or SQL; Understanding of core network protocols (TCP/IP, HTTP/HTTPS, etc.); Knowledge and experience with modern databases and big data tools, such as MySQL, MongoDB, Elasticsearch, Redis, BigQuery; Be comfortable working independently, efficiently; Excellent communication (written and verbal) and presentation skills; Experience with malware traffic analysis is a plus; Experience with graph database (e.g. Neo4j, Amazon Neptune), graph-based analysis is a plus; Experience with Google Cloud Platform is a plus; Proven success (past publication record, open source project contributions) is a big plus. Additional Information The Team We are on a mission to build the industry's best Security large language model. Our engineering team is at the core of our products – connected directly to the mission of preventing cyberattacks. We are constantly innovating – challenging the way we, and the industry, think about cybersecurity. Our engineers don’t shy away from building products to solve problems no one has pursued before. 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. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer 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 between $136000 - $219000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. Our Commitment We’re problem solvers that 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 [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 other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship?: Yes

Responsibilities

The DNS Security Research team delivers high-quality content to prevent cyberattacks, focusing on DNS security and network security. Responsibilities include tracking emerging threats, designing scalable detection systems, and converting research into products.