Taro Logo

Principal Machine Learning Engineer

A leading biotechnology company that discovers, develops, manufactures and delivers innovative human therapeutics.
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
12+ years of experience
AI · Healthcare · Biotech

Description For 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 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.

Last updated 11 days ago

Responsibilities For Principal Machine Learning Engineer

  • Engineer end-to-end ML pipelines using Kubeflow, SageMaker Pipelines, Open AI SDK
  • Harden research code into production-grade micro-services
  • Build and maintain full-stack AI applications
  • Optimize performance and cost at scale
  • Instrument comprehensive observability
  • Embed security and responsible-AI controls
  • Contribute reusable platform components
  • Perform exploratory data analysis and feature ideation
  • Partner with data scientists to prototype and benchmark new algorithms

Requirements For Principal Machine Learning Engineer

Python
Java
Kubernetes
  • 6-8 years in AI/ML and enterprise software
  • Comprehensive command of machine-learning algorithms
  • Expert knowledge of GenAI tooling
  • Proficiency in Python and Java
  • Strong business-case skills
  • Master's degree with 10-14+ years or Bachelor's degree with 12-17+ years in Computer Science
  • Strong verbal and written communication skills
  • Excellent analytical and troubleshooting skills
  • Experience with containerization and cloud platforms
  • Strong stakeholder management skills

Interested in this job?

Jobs Related To Amgen Principal Machine Learning Engineer