Principal Machine Learning Engineer

Career Category

Information Systems

Job Description

Job Description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE

Role Summary

Principal-level AIML Engineer responsible for designing and deploying advanced AI/ML systems with a strong focus onReinforcement Learning (RL) and decision intelligence. Will act as a technical leader driving scalable AI solutions from research to production across enterprise platforms.

Key Responsibilities

• Design and developReinforcement Learning models (RL, RLHF, multi-agent RL) for real-world decision-making problems
• Build and deployscalable ML pipelines and production AI systems using MLOps best practices
• Architectend-to-end AI systems integrating RL with GenAI, LLMs, or agent-based frameworks
• Lead development ofagent-based / multi-agent AI systems for planning, reasoning, and automation 
• Translate research concepts intoproduction-grade, reliable ML systems
• Partner with data scientists, engineers, and product teams to deliver enterprise AI solutions
• Evaluate new AI techniques (RLHF, agentic systems, deep RL) and drive adoption
• Mentor engineers and providetechnical leadership and architectural guidance

Must-Have Skills

• Strong expertise inReinforcement Learning (Deep RL, Policy Optimization, RLHF)
• Hands-on experience buildingproduction AI/ML systems at scale
• Strong programming inPython
• Experience withMLOps (MLflow, Kubeflow, SageMaker, etc.) 
• Knowledge ofDistributed Systems & Cloud (AWS/Azure/GCP)
• Experience inmodel deployment, monitoring, and lifecycle management
• Strong understanding ofML/DL algorithms and optimization techniques

Good-to-Have

• Experience withmulti-agent systems / agentic AI frameworks
• Exposure toLLMs, RAG, or Generative AI systems
• Experience withsimulation environments (Gym, RLlib, etc.)
• Background inoptimization, control systems, or operations research

Qualifications

• Bachelor’s or Master’s in Computer Science, AI, ML, or related field
• 12 to 17 years experience in ML/AI engineering or related domains 

Behavioral / Leadership Expectations

• Strong technical leadership and mentoring capability
• Ability to translate complex AI concepts into business impact
• Ownership mindset with end-to-end delivery focus
• Collaboration across global teams

EQUAL OPPORTUNITY STATEMENT

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

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