Principal Software Engineer - Machine Learning Remote

About the Role

We are seeking a highly experienced Principal Software Engineer (Machine Learning Remote) to join our team at Palo Alto Networks. In this role, you will leverage your robust backend engineering expertise and machine learning knowledge to drive the development of our Support Transformation. This is an exciting opportunity to enhance user experiences and operational efficiency through innovative technology.

What You'll Do

• Develop and maintain scalable backend systems and APIs that integrate seamlessly with machine learning components.
• Architect and implement data pipelines to support efficient model training, validation, and real-time inference.
• Collaborate with data scientists to deploy, monitor, and optimize AI prompts within the support pipeline.
• Ensure smooth integration of ML solutions into production systems, focusing on performance, reliability, and scalability.
• Build automation tools for continuous integration, delivery, and deployment of backend and ML components.
• Implement monitoring and logging solutions to proactively address performance issues and ensure system reliability.
• Work closely with cross-functional teams (product, QA, DevOps, and customer support) to align development efforts with business needs.
• Troubleshoot and resolve complex issues that arise within both the backend infrastructure and ML models.
• Ensure code quality, security, and data privacy by following industry best practices.
• Maintain clear and concise documentation for system architecture, API endpoints, and ML model integration processes.

Requirements

• 5+ years of experience using an Object-Oriented programming language (Java/Python).
• Experience with cloud-native service development stack on Google Cloud Platform.
• Knowledge of Object Oriented Programming design concepts.
• Solid grasp of RESTful API design and microservices architecture.
• Basic understanding of machine learning concepts and familiarity with ML frameworks (e.g., TensorFlow, PyTorch) is a plus.
• Skilled in diagnosing and solving complex problems while providing detailed technical analysis.
• Attention to detail and high behavioral standards.
• Team player with a can-do attitude to tackle difficult problems and inspire your team.
• High energy and the ability to work in a fast-paced environment.
• Excellent collaboration and communication with multiple teams.
• Fast learner and eager to absorb new emerging technologies.
• M.S./B.S. degree in Computer Science or Electrical Engineering or equivalent military experience.

What We Offer

• Competitive salary range of $141,000 - $228,075 per year.
• Comprehensive relocation support to help you move and settle in your new role.
• Visa sponsorship for eligible candidates.
• Opportunity to work with cutting-edge technology in a collaborative environment.
• Employee benefits including restricted stock units and bonuses.
• Commitment to diversity and inclusion in the workplace.
• Flexible work arrangements to support work-life balance.