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Sr Machine Learning Engineer

A leading biotechnology company pioneering innovative medicines since 1980, focusing on unlocking biology's potential to fight serious illnesses.
Machine Learning
Staff Software Engineer
In-Person
5,000+ Employees
8+ years of experience
AI · Healthcare · Biotech

Description For Sr Machine Learning Engineer

Amgen, a pioneering biotechnology company with over 40 years of experience, is seeking a Senior 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 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 role demands a unique blend of technical expertise and leadership skills, requiring deep knowledge of machine learning algorithms, cloud platforms, and enterprise software development. You'll be responsible for establishing platform strategy, defining technical standards, and collaborating with various teams to deliver enterprise-grade AI solutions. The position offers the opportunity to work at the cutting edge of biotechnology and AI, applying advanced technologies to help develop innovative medicines and improve patients' lives.

As a Sr Machine Learning Engineer at Amgen, you'll be instrumental in building the future of healthcare technology, working with state-of-the-art ML/AI tools and frameworks. The role combines the excitement of working with cutting-edge AI technology with the meaningful impact of contributing to life-changing medical innovations. You'll have the opportunity to influence the direction of AI implementation across one of the world's leading biotechnology companies while working with a global team of experts.

The ideal candidate will bring both technical depth and strategic thinking, capable of not just implementing solutions but also shaping the overall AI strategy of the organization. This role offers the unique opportunity to apply advanced AI techniques in a field that directly impacts human health and well-being, making it an exceptional opportunity for someone looking to make a significant impact in both technology and healthcare.

Last updated 21 days ago

Responsibilities For Sr 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 Sr Machine Learning Engineer

Python
Java
Kubernetes
  • 3-5 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 6-11+ years or Bachelor's degree with 8-13+ years in Computer Science
  • Strong verbal and written communication skills
  • Experience with containerization and cloud platforms
  • Exceptional stakeholder management skills

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