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 end-to-end machine learning and generative AI platforms. The position sits at the crucial intersection of engineering excellence and data science enablement, where you'll be responsible for designing core services, infrastructure, and governance controls that enable hundreds of practitioners to work with ML models effectively.
As a Principal ML Engineer, you'll be working with cutting-edge technologies including classical ML, deep learning, and LLMs, ensuring their secure and cost-effective deployment. The role combines technical leadership with hands-on development, requiring expertise in MLOps, cloud platforms, and enterprise-grade AI systems. You'll be instrumental in establishing platform strategy, defining technical standards, and collaborating with various teams to create a seamless AI developer experience.
The ideal candidate brings 12+ years of experience in computer science and AI/ML, with deep expertise in both theoretical and practical aspects of machine learning. You'll need to demonstrate mastery of various ML algorithms, from traditional approaches to modern deep learning architectures, and show proven ability to operationalize these solutions at scale. The role requires excellent communication skills and the ability to translate complex technical concepts into business value.
Working at Amgen means joining a company that harnesses biology and technology to fight serious diseases and improve people's lives. You'll be part of a team that's pushing the boundaries of biotechnology, using advanced human genetics and cutting-edge technology to develop innovative therapeutics. This role offers the opportunity to make a significant impact on healthcare through the application of AI/ML technologies while working with a global leader in biotechnology.