Principal Machine Learning Engineer (Gen AI, LLM)

ZipRecruiter; Santa Clara (CA); On-site; USD 140,000 - 225,000; Full time

Job summary

An innovative company is seeking a Principal LLM Application Engineer to drive the development of cutting-edge AI solutions in cybersecurity. This role involves optimizing large models, mentoring teams, and integrating advanced AI technologies. You'll collaborate with cross-functional teams to create impactful solutions that enhance cybersecurity measures. If you're passionate about AI and eager to shape the future of digital safety, this is the perfect opportunity for you to make a significant impact in a rapidly evolving field.

Benefits

FLEXBenefits

Mental Health Resources

Financial Health Resources

Personalized Learning Opportunities

Qualifications

• 10+ years in machine learning and software engineering.
• Proven experience with large models like OpenAI and LLAMA.
• Strong understanding of deep learning techniques.

Responsibilities

• Lead development and optimization of LLMs for cybersecurity.
• Collaborate with teams to design scalable AI/ML solutions.
• Document models and methodologies for organizational sharing.

Skills

Machine Learning

Data Analytics

Software Engineering

Python

Deep Learning

Debugging Skills

Communication

AI Trends

Education

Bachelor's in Computer Science

Master's or PhD in Computer Science

Tools

Google Cloud Platform (GCP)

MLOps

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.

As a member of our team, you will be shaping 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 you, including FLEXBenefits, 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.

Job Description

Your Career

We are seeking a Principal LLM Application Engineer to lead the development and optimization of Large Models (LLMs) within cybersecurity. You will advance our AI technology, leveraging Generative AI, LLMs, and MLOps to deliver impactful solutions. You will lead high-impact projects, mentor teams, and contribute to our strategic AI initiatives.

Your Impact

• Develop & Optimize LLMs: Design, fine-tune, and optimize LLMs for cybersecurity applications, focusing on performance and accuracy.
• Model Evaluation: Assess LLM effectiveness, efficiency, and alignment with business needs.
• AI Technology Integration: Implement advanced AI technologies like Retrieval-Augmented Generation (RAG), function calling, and code interpreters.
• Research & Development: Stay updated on advancements in machine learning, LLMs, and neural networks.
• Parallel Training Techniques: Use data and model parallelism for large-scale models.
• Cross-Functional Leadership: Collaborate with ML engineers, data scientists, and product teams, mentoring and fostering teamwork.
• Documentation & Communication: Document models, methodologies, and findings clearly for organizational sharing.
• Product Strategy: Contribute to AI product roadmaps, vision, and strategic planning.
• New Initiatives & Architecture: Lead new initiatives, design scalable AI/ML solutions, and make strategic technology choices within microservices architectures.
• Model Deployment: Design, test, and deploy ML models, developing scalable pipelines for batch and real-time applications.

Qualifications

Your Experience

• Education: Bachelor's degree in Computer Science, Engineering, or related field.
• Experience: 10+ years in machine learning, data analytics, and software engineering.
• Programming: Expertise in Python (or Go).
• LLM Expertise: Proven experience with large models (e.g., OpenAI, LLAMA, GEMINI).
• Deep Learning: Strong understanding of deep learning techniques and frameworks.
• ML Model Deployment: Experience in building, testing, deploying large models.
• Debugging & Analytical Skills: Troubleshoot and optimize models effectively.
• Cloud & Distributed Computing: Familiarity with Google Cloud Platform (GCP).
• MLOps/LLMOps: Experience with DevOps/MLOps practices.
• Communication: Excellent skills in explaining technical concepts and collaborating.
• Passion: Keen interest in AI and ML trends.

Additional Skills & Experience

• Advanced Degree: Master’s or PhD in Computer Science, AI, or related fields, focusing on ML and NLP.
• Cybersecurity Experience: Background working in cybersecurity.
• GenAI Solutions: Familiarity with building GenAI solutions using RAG and LLM agentic applications.

Additional Information

The Team

We aim to build the industry's best Security large model, with our engineering team at the core of our products, directly contributing to preventing cyberattacks. We challenge the industry and seek individuals comfortable with ambiguity and excited by innovation.

Compensation Disclosure

The salary range for this role is $140,000 - $225,000/year, depending on qualifications and location, possibly including stock and bonuses. Benefits details are available here.

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Our Commitment

We value diversity and inclusion. If you require accommodations, contact [e-mail]. We are an equal opportunity employer, considering all qualified applicants without discrimination.