Senior Machine Learning Engineer

Amgen

Senior Machine Learning Engineer at Amgen building and scaling machine learning models. Collaborating with data scientists and leveraging cloud platforms to deliver ML solutions.

Posted 5/12/2026full-timeRemote • California, Florida • 🇺🇸 United StatesSenior💰 $156,190 - $211,315 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchScikit-LearnTensorflow

About the role

Key responsibilities & impact

Collaborate with data scientists to develop, train, and evaluate machine learning models
Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring
Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment
Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency
Develop and implement monitoring systems to track model performance and identify issues
Conduct A/B testing and experimentation to optimize model performance
Work closely with data scientists, engineers, and product teams to deliver ML solutions
Stay updated with the latest trends and advancements

Requirements

What you’ll need

Doctorate degree OR Master’s degree and 2 years of Computer Science experience OR Bachelor’s degree and 4 years of Computer Science experience OR Associate’s degree and 8 years of Computer Science experience OR High school diploma / GED and 10 years of Computer Science experience
Solid foundation in machine learning algorithms and techniques
Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
Outstanding analytical and problem-solving skills
Ability to learn quickly
Good communication and interpersonal skills
Preferred: Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.)

Benefits

Comp & perks

A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions
Group medical, dental and vision coverage
Life and disability insurance
Flexible spending accounts
A 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, including remote and hybrid work arrangements, where possible

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

machine learningMLOpsdata ingestionfeature engineeringmodel trainingmodel deploymentmodel monitoringA/B testingPythonmachine learning algorithms

Soft Skills

analytical skillsproblem-solving skillsability to learn quicklycommunication skillsinterpersonal skills

Certifications

AWS AIAzure AI EngineerGoogle Cloud ML