Principal Machine Learning Engineer (RAG Pipeline Optimization)

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.

This role is located at our dynamic Santa Clara Ca headquarters.

Your Career

You will be able to build a career solving network security challenges by leveraging advanced machine learning techniques on exabytes of data. You will help create and deliver the most advanced AI and Machine Learning solutions to 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 security platform that many customers use daily

You will actively engage and contribute to the security community through collaborations

You will be part of the team that is leading and driving industry technology evolution in security and creating a positive impact on business

Design and development of workflow frameworks (using formal methods and algorithms), with result collection and visualization, monitoring tools

Creation and delivery of training materials

Your Experience

M.S. or Ph.D degree in Computer Science, Mathematics, Electrical Engineering, or a related field or equivalent military experience required

8 years of industry experience in Machine Learning techniques and data analytics

8 experience in design, algorithms, and data structures – Expertise with one or more of the following languages is a must – Java, Python, Rust

Experience with designing and deploying high-performance RAG systems for real-world applications, with a strong understanding of scaling retrieval and inference challenges is strongly preferred

In-depth knowledge of reranking algorithms (RRF, BM25, DPR, etc.) and experience in fine-tuning models to optimize retrieval performance and response quality will be a plus

Experience with NLP, Recommender Systems, and LLM is strongly preferred

Experience with Formal Methods toolchain (z3, cvc5, TLA) will be a plus

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

Drawing on the near real-time data collected through PAN-OS device telemetry, our industry-leading next-generation insights product (AIOps for NGFW) gives large cybersecurity operators a force multiplier that provides visibility into the health of their next-generation-firewall (NGFW) devices. It enables early detection of issues at various levels of the stack via advanced time-series forecasting and anomaly detection using novel deep-learning techniques. Our mission is to leverage advanced AI and machine learning technologies to build intelligent solutions that empower support engineers to solve customer cases more efficiently. By creating AI-driven pipelines, we streamline the troubleshooting process, providing faster, more accurate insights from complex data patterns. Our team thrives on innovation, collaboration, and a passion for using data science to drive real-world impact, helping organizations stay secure in an ever-evolving digital landscape. Join us to shape the future of cybersecurity support with AI-powered solutions.

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 – $225,000/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.