Intern - Machine Learning Software Engineer
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
To apply, you must have the authorization to work within the United States and be returning to school in the fall.
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
You will join a Research and Development (R&D) team that will give you the opportunity to make a global impact. One that protects our way of life in the digital age by preventing successful cyber attacks. A team looking for engineers who are passionate about technology, have an interest in cyber security, and also want to make a positive difference in the world that we live in. The projects our engineers are assigned will give real hands-on experience working on our products from our Strata, Prisma and Cortex organizations.
Our Summer Internship Program from May-August or June-September provides you:
- 1:1 mentorship and a supportive environment
- Fun and engaging events that inspire your intellectual curiosity
- The opportunity to expand your knowledge and work on challenging projects
- Connections to other recent grads, and employees across the company as well as our leaders
Your Impact
We are looking for a brilliant Machine Learning Engineer Intern that wants to make a career out of using machine learning to address non-trivial problems in cybersecurity. Our globally deployed services process more than a trillion events every day and our team finds solutions to hard problems at scale. We additionally produce several patents every year.
- Collaborate and execute alongside expert engineers, security researchers, and data scientists
- Apply machine learning, NLP, and deep learning methods to analyze unstructured and semi-structured data sets, perform context analysis, and extract complex patterns
- Perform research related to security, threats and malware
- Work on distributed clusters and GPUs with large volumes of data
- Design and develop machine learning models by fast iteration and evaluation cycles with several prototypes and later productionizing solutions while working closely with the engineering and product management team
- Help us disrupt the cybersecurity industry using the latest and greatest technologies
- Write code that meaningfully improves our products and services
- Learn about the cybersecurity industry from the world's leading security experts
Qualifications
Your Experience
- Knowledge or experience with big data, prediction analytics, forecasting information, causality and correlation
- Knowledge of machine learning algorithms that may include XGBoost/CatBoost, CNNs, LSTMs, NLP frameworks like SpaCY, Gensim, NLTK, Byte Pair Encoding schemes, etc.
- Strong programming skills and a deep understanding of the fundamentals of Computer Science
- Experience with distributed cloud services like GCS or AWS and container orchestration systems like Docker and Kubernetes
- Experience with frameworks such as TensorFlow, PyTorch, Keras, Scikit, Learn, etc. is a big plus
- Exemplify strong initiative and ability to work independently with limited direction
- Ability to work cross functionally with other engineers, researchers and Product Managers
- Excellent communications skills
- Interest in Cybersecurity
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 may be facing. For the fastest growing cybersecurity company, the curve is the evolution of cyberattacks, and the products and services that proactively address them. As a predictive enterprise environment, we analyze petabytes of data that pass through our walls daily and we hire the most talented minds in data science to build creative predictive analytics and data science solutions for our cybersecurity solutions.
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.
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 Big Data Computer Science Deep Learning Docker Engineering Keras Kubernetes Machine Learning ML models NLP NLTK PyTorch R R&D Research Scikit-learn Security spaCy TensorFlow XGBoost
Perks/benefits: Career development Medical leave Team events
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