Machine Learning Engineer

Amgen is hiring a Machine Learning Engineer to design, build, and operationalize generative and agentic AI systems. You will own LLM and agent capabilities, evaluation frameworks, and guardrails and work with data science, product, platform, and compliance partners to move models from prototype into trusted enterprise services.

Requirements

• Design, implement, and deploy LLM solutions and agent frameworks for production workflows, focusing on reliability, interpretability, and safety.
• Build and run evaluation pipelines: automated metrics, unit and integration test suites, adversarial/red-team tests, and human-in-the-loop evaluation.
• Create and operationalize guardrails: prompt patterns, policy enforcement, input sanitization, output validation, data filtering, and explainability tools.
• Prototype and productionize agentic behaviours: RAGs, multi-step planners, tool-use interfaces, state management, and safe action execution.
• Implement MLOps best practices: model versioning, CI/CD for models, scalable serving, observability, and cost controls.
• Partner with security, privacy, regulatory, and ethics teams to embed compliance and auditability into deployments.

Benefits

• Competitive salary and benefits package