Machine Learning Engineer, AI Studio

Overview

Machine Learning Engineer for Amgen’s AI Studio (Applied AI) team, building and deploying governed enterprise AI products that turn business needs into scalable, measurable AI solutions.

What you'll do

• Independently own defined production components within enterprise AI products and automation solutions.
• Define component boundaries, acceptance criteria, non-functional requirements, and support expectations.
• Design and implement maintainable Python, SQL, API, data, model, retrieval, agent-tool, and workflow components.
• Build GenAI, NLP, RAG, and bounded agent components including embeddings, hybrid search, reranking, citations, and recoverable failure behavior.
• Engineer batch or event-driven pipelines with schema validation, lineage/provenance, access control, and consistency checks.
• Release and support components using cloud services, containers, CI/CD, monitoring, rollback, and incident response.
• Apply security, privacy, Responsible AI, validation, auditability, human oversight, and applicable GxP controls.

What you'll need

• Master’s degree OR Bachelor’s degree plus 2 years of Computer Science/IT or related experience.
• Or Associate’s degree plus 6 years of Computer Science/IT or related experience.
• Or high school diploma/GED plus 8 years of Computer Science/IT or related field experience.
• Strong hands-on proficiency in Python and SQL with testing and software-engineering practices.
• Production software and AI/ML system design experience (Python/SQL modules, APIs, background jobs, event flows, observability, source control).
• Experience with classical ML or GenAI/RAG/agents or MLOps/platform engineering with knowledge of adjacent areas.
• Experience with at least one: PyTorch, TensorFlow, Hugging Face, scikit-learn, XGBoost, PyMC, or NLP/vision/GNN/causal inference/uncertainty estimation.

Details

• United States - Remote.