Principal Machine Learning Engineer

Qualifications

• 15+ years of software engineering experience, including significant technical and engineering leadership responsibility.
• Demonstrated experience designing and delivering AI/ML-powered products and platforms in production.
• Experience leading technical initiatives spanning multiple teams without direct authority.
• Demonstrated ability to design systems that scale to enterprise workloads.
• Hands-on experience with frontier LLMs, agent frameworks, retrieval and vector technologies, and model evaluation and observability; probabilistic modeling or graph analytics is a strong plus.
• Strong backend engineering experience with distributed systems, APIs, microservices, and cloud-native architectures.
• Extensive experience using AI-native development tools and coding agents as part of the software development lifecycle.
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical discipline, or equivalent practical experience.
• Cybersecurity products, or deep familiarity with modern security architectures and security operations, is strongly preferred.