Senior ML Engineer - Remote MLOps for Drug Discovery

amgen; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

Amgen is seeking a Senior Machine Learning Engineer to build and scale AI/ML platforms for drug discovery and development. You’ll work with engineers, data scientists, and domain experts to productionize models across the enterprise.

The role emphasizes MLOps, cloud platforms, and applied AI in life sciences, with strong software engineering foundations and a drive for scientific impact.

Qualifications

• Advanced degree in a relevant field with extensive ML or software background.
• High proficiency in Python, code quality, and testing practices.
• Experience with cloud platforms and deployment of ML models.

Responsibilities

• Deliver scalable ML-enabled applications and platforms.
• Develop data pipelines, training/serving workflows, and model registries.
• Implement MLOps practices: CI/CD, cloud infra as code, monitoring and reproducibility.
• Collaborate with scientists and engineers to productionize models.

Skills

Python programming

Cloud technologies

ML model training

Education

Doctorate degree

Master's degree

Bachelor's degree

Associate's degree

High school diploma

Tools

Databricks

AWS

TensorFlow

PyTorch

Kubeflow

MLflow

Terraform

Docker

Kubernetes

LangChain

Spark

Job description

Amgen is seeking a Senior Machine Learning Engineer to build and scale AI/ML platforms for drug discovery and development. You’ll work with engineers, data scientists, and domain experts to productionize models across the enterprise.

The role emphasizes MLOps, cloud platforms, and applied AI in life sciences, with strong software engineering foundations and a drive for scientific impact.