Palo Alto Networks
Staff Engineer Software AI Customer Copilot
Palo Alto Networks, Santa Clara, California, us, 95053
Job Description
Your Career
We are seeking a Staff AI Engineer to join our growing team and contribute to the development and optimization of cutting-edge AI technologies, including Large Language Models (LLMs). In this role, you will work closely with technical teams to develop impactful AI-driven solutions that enhance our cybersecurity capabilities. This is a great opportunity for an experienced engineer to grow in an innovative environment and make significant contributions to the field of AI in cybersecurity.
Your Impact
Develop & Optimize AI Models: Contribute to the design, fine-tuning, and optimization of AI models, including large language models (LLMs), for use in cybersecurity applications.
Model Evaluation: Participate in the evaluation of model performance, ensuring models meet business requirements and performance standards.
AI Technology Integration: Assist in integrating advanced AI technologies like Retrieval-Augmented Generation (RAG), function calling, and code interpreters into our existing systems.
Research & Learning: Keep up to date with the latest advancements in AI and machine learning to incorporate best practices into product development.
Model Training: Work with data and model parallel training techniques to efficiently manage large-scale models.
Collaboration: Collaborate with ML engineers, data scientists, and product teams to ensure seamless integration of AI technologies and alignment with product goals.
Documentation & Communication: Contribute to documenting AI models and methodologies, and communicate technical findings clearly to both technical and non-technical stakeholders.
AI Solutions Delivery: Assist in the design, testing, and deployment of scalable machine learning models and pipelines for batch and real-time applications.
Qualifications: Qualifications
Your Experience
Education: Bachelor's degree in Computer Science, Engineering, or a related field.
Experience: 1+ years of hands-on experience in AI, machine learning, or data science.
Programming: Proficiency in Python (or Go).
AI Model Experience: Experience working with large language models (e.g., Open AI, LLAMA, GEMINI) or similar AI technologies.
Deep Learning: Familiarity with deep learning techniques and frameworks.
ML Deployment: Experience in building, testing, and deploying machine learning models, especially large language models.
Cloud & Distributed Computing: Familiarity with cloud-based infrastructure Google Cloud Platform (GCP)
MLOps: Experience with DevOps/MLOps practices for machine learning development and deployment.
Problem Solving: Strong analytical and troubleshooting skills for AI model optimization.
Communication: Effective communication skills to collaborate across teams and convey technical concepts clearly.
Preferred Skills & Experience
Cybersecurity Exposure: Experience working in the cybersecurity domain.
Advanced Degree: Master’s degree or higher in Computer Science, AI, or a related field.
GenAI Framework: Familiarity with Generative AI (GenAI) solutions, including experience with RAG frameworks.
AI Agent Systems: Experience in developing AI agent-based applications and solutions.
Additional Information
The Team
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 don’t 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 $100,000- $120,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
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.
Is role eligible for Immigration Sponsorship?: Yes
Your Career
We are seeking a Staff AI Engineer to join our growing team and contribute to the development and optimization of cutting-edge AI technologies, including Large Language Models (LLMs). In this role, you will work closely with technical teams to develop impactful AI-driven solutions that enhance our cybersecurity capabilities. This is a great opportunity for an experienced engineer to grow in an innovative environment and make significant contributions to the field of AI in cybersecurity.
Your Impact
Develop & Optimize AI Models: Contribute to the design, fine-tuning, and optimization of AI models, including large language models (LLMs), for use in cybersecurity applications.
Model Evaluation: Participate in the evaluation of model performance, ensuring models meet business requirements and performance standards.
AI Technology Integration: Assist in integrating advanced AI technologies like Retrieval-Augmented Generation (RAG), function calling, and code interpreters into our existing systems.
Research & Learning: Keep up to date with the latest advancements in AI and machine learning to incorporate best practices into product development.
Model Training: Work with data and model parallel training techniques to efficiently manage large-scale models.
Collaboration: Collaborate with ML engineers, data scientists, and product teams to ensure seamless integration of AI technologies and alignment with product goals.
Documentation & Communication: Contribute to documenting AI models and methodologies, and communicate technical findings clearly to both technical and non-technical stakeholders.
AI Solutions Delivery: Assist in the design, testing, and deployment of scalable machine learning models and pipelines for batch and real-time applications.
Qualifications: Qualifications
Your Experience
Education: Bachelor's degree in Computer Science, Engineering, or a related field.
Experience: 1+ years of hands-on experience in AI, machine learning, or data science.
Programming: Proficiency in Python (or Go).
AI Model Experience: Experience working with large language models (e.g., Open AI, LLAMA, GEMINI) or similar AI technologies.
Deep Learning: Familiarity with deep learning techniques and frameworks.
ML Deployment: Experience in building, testing, and deploying machine learning models, especially large language models.
Cloud & Distributed Computing: Familiarity with cloud-based infrastructure Google Cloud Platform (GCP)
MLOps: Experience with DevOps/MLOps practices for machine learning development and deployment.
Problem Solving: Strong analytical and troubleshooting skills for AI model optimization.
Communication: Effective communication skills to collaborate across teams and convey technical concepts clearly.
Preferred Skills & Experience
Cybersecurity Exposure: Experience working in the cybersecurity domain.
Advanced Degree: Master’s degree or higher in Computer Science, AI, or a related field.
GenAI Framework: Familiarity with Generative AI (GenAI) solutions, including experience with RAG frameworks.
AI Agent Systems: Experience in developing AI agent-based applications and solutions.
Additional Information
The Team
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 don’t 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 $100,000- $120,000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
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.
Is role eligible for Immigration Sponsorship?: Yes