Machine Learning Engineer

Amgen is seeking a Machine Learning Engineer to build scalable ML platforms for drug discovery and development, with remote work eligibility in the United States.

Responsibilities

• Develop and deploy AI and ML driven applications, supporting models from traditional algorithms to NLP, protein language models, and large language models.
• Build and maintain ML platform capabilities including data pipelines and feature engineering workflows.
• Develop and maintain model training, evaluation, and deployment pipelines within the ML platform.
• Develop and maintain experiment tracking and model registry systems.
• Develop and maintain model performance evaluation and monitoring processes.
• Partner to implement AI and ML Ops best practices, including CI/CD, infrastructure as code, monitoring, traceability, and reproducibility.
• Collaborate with cross-functional teams to move experimentation outcomes into production-grade enterprise solutions.
• Design and sustain 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 (or equivalent) required.
• Bachelor’s degree with 2 years of experience in Computer Science, IT, or engineering field.
• Associate’s degree with 6 years in Computer Science, IT, or engineering field.
• High school diploma or GED with 8 years in Computer Science, IT, or engineering field.
• Proficiency in software development with Python, version control, and test driven development.
• Experience with cloud technologies, AWS preferred and Databricks familiarity.
• Hands-on experience training and serving AI/ML models.

Technologies

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

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.

Application details

• Application deadline: Amgen does not have a fixed deadline; applications accepted until the position is filled.
• Sponsorship: Sponsorship for this role is not guaranteed.