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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.
Disruption is at the core of our technology and on our way of work to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. We’re changing the nature of 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.
We are looking for a brilliant Machine Learning Software Engineer Researcher who wants to make a career out of using machine learning to address security problems. We want to address several practical and research of time series analysis.
- Learn to apply Machine Learning in a production environment
- Advance state-of-the-art algorithms for time series analysis
- Work on distributed clusters with large amounts of data
- Be an excellent programmer; experience with distributed cloud systems like GCP or AWS and containers like Docker a big plus
- Have a strong working knowledge of machine learning algorithms that may include XGBoost, CNNs, LSTMs, attention, transformers, GANs, etc.
- Be comfortable working independently, be able to produce something impressive in one summer, have the ability to come up with novel solutions to difficult problems
- Solid skills in statistics and machine learning
Requirements – To apply, you must be completing a 4-year Undergraduate Degree, a 2-year Master’s Degree or a Doctorate degree by fall. You must have the authorization to work within the United States.
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.
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 firstname.lastname@example.org.
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.