Senior Machine Learning Engineer
Core
Build high-impact AI proofs-of-concept and scalable systems at the intersection of AI engineering, software engineering, and cloud architecture to deliver measurable value for Amgen's biotech mission.
Role type
Senior Machine Learning Engineer (AI & Data Innovation)
Builds
Scalable AI proofs-of-concept, reference architectures, reusable components, and enterprise-scale solutions.
Domain
Biotechnology / Artificial Intelligence / Cloud Engineering
Deliverable
production ML models
Required skills
AI engineering, machine learning engineering, software engineering, cloud engineering, LLMs, agentic workflows, retrieval-augmented generation, data pipelines, API design, cloud-native services, AI evaluation methods, Python, CI/CD, observability, secure development
Preferred skills
Full-stack AI application development, modern AI application architecture, trade-off analysis, business problem translation, AWS Cloud, containerization, modular design, AI tool usage for productivity
Technologies
LLMs, agentic workflows, retrieval-augmented generation, vector databases, orchestration frameworks, AWS Cloud, Python
Responsibilities
Build scalable AI proof-of-concepts with clear paths to production; Partner with stakeholders to translate business needs into practical AI solutions; Design and implement modern AI systems using LLMs and data pipelines; Validate feasibility and value by assessing technical risk, data readiness, and business impact; Create reusable technical assets like reference architectures and documentation; Mentor team members and raise the technical bar through strong engineering practices.
Seniority
Senior, hands-on IC with mentorship responsibilities