ZipRecruiter
Sr Principal Machine Learning Engineer (GenAI/LLM)
ZipRecruiter, Santa Clara, California, us, 95053
Overview
Our Mission and Who We Are: At Palo Alto Networks everything starts and ends with our mission to be the cybersecurity partner of choice, protecting our digital way of life. We are committed to challenging and disrupting the way things are done and search for innovators who are shaping the future of cybersecurity. We value collaboration, integrity, inclusion, and continuous learning, with programs that support personal wellbeing and development. We believe in in-person collaboration with flexibility where needed, aiming to create an environment where we all win with precision. Your Career
We are seeking a Senior Principal Engineer (Tech Lead) to lead the design and delivery of high-impact projects in the Gen AI space. You will advance our AI technology by 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, manage stakeholders, and contribute to the strategic direction of our AI-driven initiatives. Your Impact
Work in a fast-paced team to create and deliver new product and mission features used by many customers daily. Lead and drive industry technology evolution and create a positive business impact. Design and development of workflow frameworks using AI/ML, with result collection and visualization, and monitoring tools. Creation and delivery of training materials. At Palo Alto Networks, Senior Principal Engineers are
Deep technical experts and thought leaders who help accelerate engineering best practices and stay current with industry innovations, trends, and practices. Visionaries who deliver on critical business needs and are trusted resources across the company. Role models and mentors who exemplify our culture, tackle challenges with integrity, and foster learning and improvement. Leaders who communicate effectively with hands-on engineers and with executives. Qualifications
Your Experience MS or PhD in Computer Science, Mathematics, Statistics, or related field, or equivalent military experience. 15+ years of industry experience in machine learning techniques and data analytics. 10+ years in design, algorithms, and data structures; proficiency in Java, Python, or Golang. Proven leadership skills with ability to deliver under tight deadlines. Proven ability to collaborate with cross-functional teams (Product Management and Design) with emphasis on end-to-end delivery. Proven track record solving difficult real-world problems with ML techniques. Experience with deep learning frameworks (PyTorch, TensorFlow), NLP, Large Models, Generative AI, LangChain, Transformer models or related areas is a plus. Strong understanding of ML Ops best practices; ability to design, test, measure, and orchestrate algorithms/models. Experience with Google Vertex AI is a plus. Excellent communication skills with the ability to influence at all levels of the organization. Self-driven individual contributor and strong team player. Additional Information
The Team
We are on a mission to build the industry’s best Security large model. Our engineering team is central to our products, innovating to prevent cyberattacks. We value ambiguity and the prospect of challenges as part of creating a secure digital environment. Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates offered the posted level, the starting base salary is expected to be between $170,000/YR and $277,000/YR for non-sales roles, with potential base plus commission targets for sales roles. The package may also include restricted stock units and a bonus. A description of employee benefits may be found here. Our Commitment
We’re problem solvers who take risks and challenge cybersecurity’s status quo. We’re committed to providing reasonable accommodations for all qualified individuals. If you require assistance or accommodations 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 and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital status, medical condition, genetic information, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.
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Our Mission and Who We Are: At Palo Alto Networks everything starts and ends with our mission to be the cybersecurity partner of choice, protecting our digital way of life. We are committed to challenging and disrupting the way things are done and search for innovators who are shaping the future of cybersecurity. We value collaboration, integrity, inclusion, and continuous learning, with programs that support personal wellbeing and development. We believe in in-person collaboration with flexibility where needed, aiming to create an environment where we all win with precision. Your Career
We are seeking a Senior Principal Engineer (Tech Lead) to lead the design and delivery of high-impact projects in the Gen AI space. You will advance our AI technology by 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, manage stakeholders, and contribute to the strategic direction of our AI-driven initiatives. Your Impact
Work in a fast-paced team to create and deliver new product and mission features used by many customers daily. Lead and drive industry technology evolution and create a positive business impact. Design and development of workflow frameworks using AI/ML, with result collection and visualization, and monitoring tools. Creation and delivery of training materials. At Palo Alto Networks, Senior Principal Engineers are
Deep technical experts and thought leaders who help accelerate engineering best practices and stay current with industry innovations, trends, and practices. Visionaries who deliver on critical business needs and are trusted resources across the company. Role models and mentors who exemplify our culture, tackle challenges with integrity, and foster learning and improvement. Leaders who communicate effectively with hands-on engineers and with executives. Qualifications
Your Experience MS or PhD in Computer Science, Mathematics, Statistics, or related field, or equivalent military experience. 15+ years of industry experience in machine learning techniques and data analytics. 10+ years in design, algorithms, and data structures; proficiency in Java, Python, or Golang. Proven leadership skills with ability to deliver under tight deadlines. Proven ability to collaborate with cross-functional teams (Product Management and Design) with emphasis on end-to-end delivery. Proven track record solving difficult real-world problems with ML techniques. Experience with deep learning frameworks (PyTorch, TensorFlow), NLP, Large Models, Generative AI, LangChain, Transformer models or related areas is a plus. Strong understanding of ML Ops best practices; ability to design, test, measure, and orchestrate algorithms/models. Experience with Google Vertex AI is a plus. Excellent communication skills with the ability to influence at all levels of the organization. Self-driven individual contributor and strong team player. Additional Information
The Team
We are on a mission to build the industry’s best Security large model. Our engineering team is central to our products, innovating to prevent cyberattacks. We value ambiguity and the prospect of challenges as part of creating a secure digital environment. Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates offered the posted level, the starting base salary is expected to be between $170,000/YR and $277,000/YR for non-sales roles, with potential base plus commission targets for sales roles. The package may also include restricted stock units and a bonus. A description of employee benefits may be found here. Our Commitment
We’re problem solvers who take risks and challenge cybersecurity’s status quo. We’re committed to providing reasonable accommodations for all qualified individuals. If you require assistance or accommodations 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 and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status, marital status, medical condition, genetic information, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines.
#J-18808-Ljbffr