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Principal Machine Learning Engineer (NLP - AI Runtime Security) Job Opening In Santa Clara – Now Hiring Palo Alto Networks


Job 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.

**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

**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

**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 (http://benefits.paloaltonetworks.com/) .

**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

Required Skill Profession

Other General


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Palo Alto Networks adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

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2. Loyalty

3. Impartiapty

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5. Accountabipty

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7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Santa Clara. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Interview Tips for Principal Machine Learning Engineer (NLP AI Runtime Security) Job Success

Palo Alto Networks interview tips for Principal Machine Learning Engineer (NLP   AI Runtime Security)

Here are some tips to help you prepare for and ace your Principal Machine Learning Engineer (NLP AI Runtime Security) job interview:

Before the Interview:

Research: Learn about the Palo Alto Networks's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

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Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Principal Machine Learning Engineer (NLP AI Runtime Security) interview at Palo Alto Networks, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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