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Sr Principal Engineer Software (Gen AI)

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Santa Clara (CA)

On-site

USD 170,000 - 270,000

Full time

11 days ago

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Job summary

An established industry player is seeking a Senior Principal Engineer to lead groundbreaking projects in the Generative AI space. This role involves advancing AI technology and mentoring teams to deliver impactful solutions. You will be at the forefront of innovation, collaborating with cross-functional teams to solve complex problems and drive business success. Join a dynamic environment where your expertise will shape the future of cybersecurity, and enjoy a competitive salary package with potential stock options and bonuses. If you are passionate about AI and eager to make a difference, this opportunity is for you.

Benefits

Stock Options
Flexible Benefits
Mental Health Resources
Financial Health Resources
Personalized Learning Opportunities

Qualifications

  • 15+ years in Machine Learning and data analytics.
  • 10+ years in design, algorithms, and data structures.
  • Proven leadership and ability to deliver under deadlines.

Responsibilities

  • Lead the design and delivery of high-impact projects in Generative AI.
  • Create and deliver new product features used by many customers.
  • Mentor cross-functional teams and manage stakeholders.

Skills

Machine Learning
Data Analytics
Java
Python
Golang
Deep Learning
Natural Language Processing
Generative AI
ML Ops
Communication Skills

Education

M.S. or Ph.D. in Computer Science
Equivalent Military Experience

Tools

PyTorch
TensorFlow
Google Vertex AI

Job description

Job Description

Company 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 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 contribute to our collective success. Our values, crowdsourced by employees, are brought to life through each of us every day — from disruptive innovation and collaboration to integrity and inclusion. We foster an environment where everyone feels valued and supported.

As a member of our team, you will shape the future of cybersecurity. We work fast, value ongoing learning, and respect each employee as a unique individual. Our development and wellbeing programs are designed to support diverse needs, including our FLEXBenefits wellbeing spending account, mental and financial health resources, and personalized learning opportunities.

At Palo Alto Networks, we believe in collaboration and in-person interactions. Our employees generally work full-time from our office with flexibility where needed, fostering casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where everyone can succeed.

Job Description

Your Career

We are seeking a Senior Principal Engineer (Tech Lead) to lead the design and delivery of high-impact projects in the Generative 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 projects, mentor cross-functional teams, manage stakeholders, and contribute to our AI strategy.

Your Impact

  • Create and deliver new product and mission features used daily by many customers.
  • Lead industry technology evolution and create positive business impact.
  • Design and develop workflow frameworks using AI/ML, including result collection, visualization, and monitoring tools.
  • Develop and deliver training materials.

At Palo Alto Networks, Sr Principal Engineers are:

  • Deep technical experts and thought leaders promoting engineering best practices and industry innovation.
  • Visionaries delivering on critical business needs and recognized as domain experts.
  • Role models and mentors exemplifying our culture, integrity, and continuous improvement.
  • Effective communicators with engineers and executives alike.

Qualifications

Your Experience

  • M.S. or Ph.D. in Computer Science, Mathematics, Statistics, or related field, or equivalent military experience.
  • 15+ years in Machine Learning and data analytics.
  • 10+ years in design, algorithms, and data structures; proficiency in Java, Python, Golang.
  • Proven leadership and ability to deliver under deadlines.
  • Experience collaborating with cross-functional teams, including Product Management and Design.
  • Track record of solving complex real-world problems with Machine Learning.
  • Experience with deep learning frameworks like PyTorch and TensorFlow, NLP, Large Models, Generative AI, Langchain, Transformers is a plus.
  • Understanding of ML Ops practices and experience with Google Vertex AI is a plus.
  • Excellent communication skills and a self-driven team player.

Additional Information

The Team

Our team is building the industry’s best Security Large Model, directly impacting cybersecurity innovation and defense against cyberattacks. We thrive in ambiguity, embrace challenges, and are empowered by the critical importance of our work.

Compensation Disclosure

The salary range for this position is $170,000 - $270,000 per year, depending on experience and location. Compensation may include stock options and bonuses. For more details, see our benefits page.

Our Commitment

We value diversity and are committed to providing accommodations for qualified individuals. If you need assistance, contact us at accommodations@paloaltonetworks.com.

Palo Alto Networks is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, gender, age, religion, disability, or other protected characteristics. Your information will be kept confidential according to EEO guidelines.

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