Intern - Security Research Engineer (WildFire Detection)
Santa Clara, CA, United States
Applications have closed
Palo Alto Networks
Implement Zero Trust, Secure your Network, Cloud workloads, Hybrid Workforce, Leverage Threat Intelligence & Security Consulting. Cybersecurity Services & Education for CISO’s, Head of Infrastructure, Network Security Engineers, Cloud...Company Description
You must have the authorization to work within the United States
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.
We’re changing the nature of work. Palo Alto Networks is evolving to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we 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.
Job Description
Your Career
The WildFire detection team is responsible for delivering high quality and state of art malware detection capabilities. We are looking for a motivated, intelligent, hardworking and creative intern to join the team as a Security Research Engineer. As a member of the WildFire team, you will be able to conceive, design, implement and evaluate systems to detect and prevent various threats in the emerging security landscape.
Our Summer Internship Program from May-August or June-September provides you:
- 1:1 mentorship
- Fun and engaging events that inspire your intellectual curiosity
- Opportunities to expand your knowledge and work on challenging projects
- Connections to other interns, recent grads, and employees across the company as well as our leaders
Your Impact
- Track and research emerging malware families and innovate new ways to identify malicious behaviors
- Opportunity to learn, analyze and identify real word malicious campaigns and modern malware samples
- Gain hands-on experience with scalable and extensible detection/prevention systems to protect customers around the globe
- Leverage data-driven approaches, such as statistical analysis, machine learning, deep learning and other advanced techniques
- Convert research results and discoveries into real-impact innovative solutions
Qualifications
Your Experience
- Creative thinker and team player with a passion for data-driven security research, and building high quality, complex systems as a part of an incredible research team
- Hands-on experience with malware analysis & detection, familiar with reverse engineering process
- Strong programming, engineering skills and ability to quickly learn and adapt to new programming languages and technologies
- Good knowledge of machine learning models and experience in data driven approaches
- Experience with program analysis is a big plus
- Experience with cloud platforms such as GCP or AWS and open source technologies such as Docker, Kubernetes and Gitlab is a plus
- Be comfortable working independently, efficiently
- Excellent communication (written and verbal) and presentation skills
- Proven success (past publication record, open source project contributions) is a big plus
To apply, you must be pursuing a 4-year Undergraduate Degree, a 2-year Master’s Degree or a Doctorate degree and returning to school in the fall.
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 products 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 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 accommodations@paloaltonetworks.com.
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.
Covid-19 Vaccination Information for Palo Alto Networks Jobs
- Vaccine requirements and disclosure obligations vary by country.
- Unless applicable law requires otherwise, you must be vaccinated for COVID or qualify for a reasonable accommodation if:
- The job requires accessing a company worksite
- The job requires in-person customer contact and the customer has implemented such requirements
- You choose to access a Palo Alto Networks worksite
- If you have questions about the vaccine requirements of this particular position based on your location or job requirements, please inquire with the recruiter.
Tags: AWS Deep Learning Docker Engineering GCP GitLab Kubernetes Machine Learning ML models Open Source Research Security Statistics
Perks/benefits: Career development Medical leave Startup environment Team events
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open Data Science Manager jobs
- Open MLOps Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Engineer II jobs
- Open Data Manager jobs
- Open Sr Data Engineer jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Data Analytics Engineer jobs
- Open Business Intelligence Developer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Junior Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Data Product Manager jobs
- Open Principal Data Scientist jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open GCP-related jobs
- Open Data management-related jobs
- Open Java-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open APIs-related jobs
- Open Deep Learning-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open Snowflake-related jobs
- Open TensorFlow-related jobs
- Open PhD-related jobs
- Open CI/CD-related jobs
- Open NLP-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open LLMs-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Data warehouse-related jobs
- Open Databricks-related jobs