Principal Machine Learning Engineer (Reinforcement Learning)

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 on Reinforcement 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 develop Reinforcement Learning models (RL, RLHF, multi-agent RL) for real-world decision-making problems Build and deploy scalable ML pipelines and production AI systems using MLOps best practices Architect end-to-end AI systems integrating RL with GenAI, LLMs, or agent-based frameworks Lead development of agent-based / multi-agent AI systems for planning, reasoning, and automation Translate research concepts into production-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 provide technical leadership and architectural guidance Must-Have Skills Strong expertise in Reinforcement Learning (Deep RL, Policy Optimization, RLHF) Hands-on experience building production AI/ML systems at scale Strong programming in Python Experience with MLOps (MLflow, Kubeflow, SageMaker, etc.) Knowledge of Distributed Systems & Cloud (AWS/Azure/GCP) Experience in model deployment, monitoring, and lifecycle management Strong understanding of ML/DL algorithms and optimization techniques Good-to-Have Experience with multi-agent systems / agentic AI frameworks Exposure to LLMs, RAG, or Generative AI systems Experience with simulation environments (Gym, RLlib, etc.) Background in optimization, 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. .