Sr Principal Machine Learning Engineer (GenAI/LLM) (Santa Clara)

Job DescriptionJob DescriptionCompany 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 were 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.

Job Description

Your Career

We are seeking a Senior Principal Engineer (Tech Lead) to lead the design, and delivery of high impact projects in Gen AI space. You will play a pivotal role in advancing our AI technology, leveraging Generative AI, LLMs, and ML Ops to drive impactful solutions. As a technical leader, you will lead high-impact projects, mentor cross-functional teams, do stakeholder management and contribute to the strategic direction of our AI-driven initiatives.

Your Impact

• You will work in a fast paced team to create and deliver new product and mission features that many customers use on a daily basis

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

• Design and development of workflow frameworks using AI/ML, with result collection and visualization, monitoring tools

• Creation and delivery of training materials

At Palo Alto Networks, Sr Principal Engineers are:

• Deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices.

• Visionaries who deliver on critical business needs and are recognized across the company as go-to engineering resources on given domains.

• Role models and mentors who exemplify the best of Palo alto Networks culture. They do the right thing even when its hard, treat challenges as a chance to learn and provide honest opinions so the team can improve

• Leaders who can communicate cogently with hands-on engineers as well as executives

Qualifications

Your Experience

• M.S. or Ph.D degree in Computer Science, Mathematics, Statistics or related field or equivalent military experience required

• 15+ years industry experience in Machine Learning techniques and data analytics

• 10+ experience in design, algorithms and data structures - Expertise with one or more of the following is must - Java, Python, Golang

• Proven leadership skills with an ability to deliver under tight deadlines.

• Proven ability to collaborate with many cross-functional teams including Product Management and Design teams with an emphasis on end-to-end delivery

• Proven track record in solving difficult real world problems by applying Machine Learning techniques

• Experience with deep learning frameworks such as PyTorch and TensorFlow, NLP, Large Models, Generative AI, Langchain, Transformer models or related areas is a big plus

• Thorough understanding of ML Ops best practices, ability to design, test, measure algorithms/models and orchestrate. Experience working with Google Vertex AI platform 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

Additional Information

The Team

We are on a mission to build the industry's best Security large model.

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 dont 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 $170,000 - $270,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be foundhere.

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Our Commitment

Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a . If you require assistance or accommodation due to a or special need, please contact us at [email protected]

Palo Alto Networks is an equal opportunity employer. We celebrate in our workplace, and all qualified applicants will receive consideration for employment without regard to , ancestry, , family or medical care leave, or expression, genetic information, marital status, medical condition, , physical or mental , political affiliation, protected veteran status, , , (including ), , or other legally protected characteristics.

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

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