Principal Machine Learning Engineer

Amgen, a pioneering biotechnology company with over 40 years of experience, is seeking a Principal Machine Learning Engineer to lead their AI initiatives. This role represents the highest level of individual contributor expertise in building and scaling machine learning and generative-AI platforms. The position combines engineering excellence with data science enablement, focusing on designing core services, infrastructure, and governance controls that enable hundreds of practitioners to work with ML models securely and efficiently.

The ideal candidate will serve as a "player-coach," establishing platform strategy, defining technical standards, and collaborating with various teams to create a seamless AI developer experience. This role involves working with cutting-edge technologies including classical ML, deep learning, and LLMs, while ensuring enterprise-grade security and compliance.

Key responsibilities include engineering end-to-end ML pipelines, optimizing performance at scale, implementing comprehensive observability, and embedding security controls. The role requires extensive experience in AI/ML, strong technical skills in Python, Java, and cloud platforms, and the ability to translate complex technical concepts into business value.

Amgen offers the opportunity to work on meaningful projects that help millions of patients worldwide, leveraging the best of biology and technology to fight serious diseases. The company's commitment to innovation and cutting-edge technology makes this an ideal position for someone looking to make a significant impact in the intersection of AI and biotechnology.