Principal Machine Learning Engineer

Principal Machine Learning Engineer leads 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

• Bachelor’s degree in computer science, Engineering, Data Science, or a related field with 12 to 17 years of total experience
• 8+ years of experience in software engineering, machine learning engineering, or ML infrastructure.
• Strong experience building production ML systems or ML platforms.
• Hands-on experience with MLOps frameworks and tools such as MLflow / Equivalent - Model lifecycle management frameworks
• Strong programming experience in Python and modern software engineering practices such as API Driven Architecture and Event based systems
• Experience designing scalable distributed systems or cloud-native architectures.
• Experience deploying and operating machine learning models in production environments.
• Solid understanding of modern ML workflows including training, evaluation, deployment, monitoring, and retraining.

Benefits

• Equal Opportunity employer
• Accommodation for individuals with disabilities
• Good work environment