Principal Machine Learning Engineer

As a Principal Machine Learning Engineer, you will lead the architecture and development of a core AI platform capability that enables researchers and engineers across Amgen to build, deploy, and operate advanced ML and Generative AI systems at scale.

Requirements

• Architect and build a scalable ML platform for training, deployment, and lifecycle management of ML, LLM, and Generative AI models
• Lead development of infrastructure that supports production hosting of complex AI systems, including large-scale inference workloads
• Design developer-friendly abstractions and automation that make it easy for researchers to build and deploy models within the Amgen ecosystem
• Implement and evolve MLOps capabilities including experiment tracking, model versioning, CI/CD for ML, monitoring, and reproducibility using tools such as Databricks and MLflow
• Build platform capabilities supporting Generative AI and emerging Agentic AI systems
• Serve as the technical leader for a team of engineers, guiding architecture, design reviews, and engineering best practices
• Partner with AI researchers, data scientists, and platform teams to translate cutting-edge AI research into reliable production systems
• Evaluate and adopt emerging technologies across the modern AI stack including foundation models, vector databases, agent frameworks, and model serving systems
• Champion AI-native engineering practices, leveraging tools like GitHub Copilot, Codex, and AI-assisted development workflows
• Contribute to the broader strategy and evolution of the Enterprise AI Platforms ecosystem

Benefits

• 401k Matching
• Retirement Plan
• Generous Paid Time Off
• Relocation Assistance