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Amgen

Machine Learning Engineer

Amgen
Remote Remote $130k - $175k/yr Full time Posted 3d ago
Ai Ml Artificial Intelligence AWS Big Data Bigdata Cloud Cloud Infrastructure Cloud Native Cloud Platform Cloud Platforms Data Pipeline Data Platform Data Processing Databricks Deep Learning DevOps Feature Engineering Generative AI Kubeflow Kubernetes Machine Learning Machine Learning Engineer Ml Ops Ml Pipelines MLOps Platform Engineering PyTorch scikit-learn TensorFlow Weights & Biases
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Job Description

Benefits

  • Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
  • Discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
  • Stock-based long-term incentives
  • Award-winning time-off plans
  • Flexible work models where possible

About Amgen and our culture

Amgen is dedicated to advancing treatments that improve patient lives. Since 1980, we have been at the forefront of biotech, focusing on Oncology, Inflammation, General Medicine, and Rare Disease. This role supports scientists across Amgen in building, deploying, and managing AI and ML solutions for drug discovery and development, all within a collaborative, growth-minded environment.

What you will do

  • Deliver AI and ML enabled applications with models spanning classical algorithms to natural language processing, protein language models, and large language models
  • Contribute to ML platform capabilities such as data pipelines and feature engineering workflows
  • Contribute to model training, evaluation, and deployment pipelines
  • Contribute to experiment tracking and model registry systems
  • Contribute to model performance evaluations and monitoring
  • Partner in implementing AI and ML Ops best practices, including CI/CD, infrastructure as code, monitoring, traceability and reproducibility
  • Collaborate with cross-functional teams to transition experimentation outcomes into production-grade enterprise solutions
  • Build and maintain scalable, productionized MLOps solutions on cloud platforms
  • Develop and deliver training content and knowledge articles to educate resident scientists on model lifecycle management best practices

Requirements

  • Master’s degree
  • Bachelor’s degree and 2 years of experience in Computer Science, IT, or engineering
  • Associate’s degree and 6 years in Computer Science, IT, or engineering
  • High school diploma / GED and 8 years in Computer Science, IT, or engineering
  • Software programming (Python, version control, test-driven development)
  • Familiarity with cloud technologies (AWS preferred, Databricks)
  • Hands-on experience with AI/ML model training and serving

Technologies

  • Python, Databricks, AWS, Azure
  • MLflow, Kubeflow, Weights & Biases
  • Terraform, Docker, Kubernetes
  • Spark, scikit-learn, TensorFlow, PyTorch
  • LangChain

Compensation and Location

Salary: USD 129,654 - 175,415 per year

Location: Remote (remote); remote work in the US is eligible

Education requirements note: Master’s degree is required; alternative combinations are listed in the requirements above.

Additional details

Application details and sponsorship: Amgen does not set a formal application deadline and continues accepting applications until a suitable candidate is found. Sponsorship for this role is not guaranteed.

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