Principal Machine Learning Engineer NLP AI Runtime Security

12 Days Old

Your Career
You will have the opportunity to build a career solving network security challenges leveraging advanced machine learning techniques on exabytes of data. You will help create and deliver the most advanced AI and Machine Learning enabled solutions to detect and remediate network issues, discover threats, provide intelligence and protect devices.
Your Impact
You will work in a fast paced team to create and deliver new product and mission features to the network and security platform that many customers use on a daily basis
You will actively engage and contribute to the network security community through collaborations
You will be part of the team that is leading and driving industry technology evolution in and creating a positive impact on business
You will design, train and deploy ML models to detect threats posed by widespread adoption of GenAI
Qualifications: Qualifications
Your Experience
M.S. or Ph.D degree in Computer Science, Mathematics, Statistics or related field or equivalent military experience required
10+ years industry experience as machine learning engineer / data scientist
10+ years experience in design, algorithms and data structures - Expertise with one or more of the following languages is must - Python, R, Golang
Proven track record in solving difficult real world problems by applying data driven approaches
Extensive experience with NLP/NLU problems and deep learning frameworks such as PyTorch, JAX and/or TensorFlow including
Deep understanding and experience working with modern LLMs / Multimodal Models
Thorough understanding and ability to design, test, evaluate and deploy ML models at scale
Excellent communication skills with the ability to influence at all levels of the organization
A self driven individual contributor and an excellent team player
Additional Information
The Team
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 $151000/YR - $246500/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 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.
Is role eligible for Immigration Sponsorship?: Yes
Location:
Santa Clara, CA, United States
Category:
Computer And Mathematical Occupations