Lead Machine Learning Engineer (AI, NLP, LLM, Generative AI)

Company Description

Our Mission

At Palo Alto Networks® everything begins and terminates with our mission:

To be the cybersecurity partner of choice, protecting our digital way of life.

Our aspiration is a world where each day is safer and more secure than the previous one. We are a company built on the foundation of confronting and disrupting established ways, and we’re seeking out innovators who are as dedicated to shaping the future of cybersecurity as we are.

Our Approach to Work

We prioritize flexibility and choice in all of our people programs. We have broken away from the conventional perception that all employees have identical needs and wants. We provide customization and give our employees the chance to choose what works best for them as often as feasible - ranging from your wellbeing support to your growth and development, and beyond!

At Palo Alto Networks, we have faith in the power of teamwork and appreciate face-to-face interactions. That's why our employees generally work from the office three days a week, leaving two days for choice and flexibility to work where they feel most proficient. This arrangement encourages informal conversations, problem-solving, and trusted relationships. While specifics may change, our aim is to create an environment where innovation thrives, with office-based teams coming together three days a week to collaborate and prosper, together!

Job Description

Your Career

You will have the chance to shape a career resolving network security challenges making use of advanced machine learning techniques on exabytes of data. You will play a crucial part in creating and delivering the most sophisticated AI and Machine Learning enabled solutions to uncover 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 multiple customers use daily.
• You will actively engage and offer contributions to the security community through collaborations.
• You will be a member of the team leading and driving the evolution of industry technology in security, making a positive impact on business.
• Design and development of workflow frameworks (using formal methods and algorithms), with result collection and visualization, monitoring tools.
• Designing and delivering training materials.

Qualifications

Your Experience

• M.S. or Ph.D degree in Computer Science, Mathematics, Electrical Engineering, or a related field or equivalent military experience is required.
• 8+ years industry experience in Machine Learning techniques and data analytics.
• 8+ years of experience in design, algorithms, and data structures - Expertise with one or more of following languages is mandatory: Java, C++, Python, Rust.
• Experience with NLP, Recommender Systems, and LLM is strongly preferred.
• Experience with Formal Methods toolchain (z3, cvc5, TLA+) will be advantageous.
• 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

Drawing on near real-time data gathered through PAN-OS device telemetry, our industry-leading next-generation insights product (AIOps for NGFW) equips large cybersecurity operators with a force multiplier that offers visibility into the health of their next-generation-firewall (NGFW) devices. It enables early detection of issues at various levels of the stack through advanced time-series forecasting and anomaly detection using novel deep learning techniques. Our objective is to be able to prevent service-impacting issues in critical security infrastructure that operates 24/7/365 with zero false positives and zero false negatives. You will be working on the best large language model in the cybersecurity industry.

Our Commitment

We’re pioneers that dream big, take risks, and challenge cybersecurity's status quo. It’s straightforward: we can’t achieve our mission without diverse teams innovating together.

We are pledged 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 reach out to us at [email protected].

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all eligible applicants will receive consideration for employment irrespective of 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 traits.

All your information will be kept confidential according to EEO guidelines.

The pay offered for this position will rely on qualifications, experience, and work location. For candidates who receive an offer at the advertised level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is anticipated to be between $140,100/yr and $226,600/yr. The offered remuneration may also include restricted stock units and a bonus. A description of our employee benefits can be found here.