Lead Amgen’s strategy and execution for Reinforcement Learning from Human Feedback (RLHF) and related reinforcement learning approaches across R&D, medical, operations, and commercial use cases
Job Summary
Lead Amgen’s strategy and execution for Reinforcement Learning from Human Feedback (RLHF) and related reinforcement learning approaches across R&D, medical, operations, and commercial use cases.
Design, implement, and scale RLHF systems to solve real-world problems that ultimately help us serve patients better and faster.
Champion responsible and compliant AI, working with Legal, Compliance, and Information Security to implement governance around human feedback, data usage, model behavior, transparency, and risk management in a regulated environment.
Matching Summary
Lead Amgen’s strategy and execution for Reinforcement Learning from Human Feedback (RLHF) and related reinforcement learning approaches across R&D, medical, operations, and commercial use cases.
Skills & Requirements
Must-have
Reinforcement Learning from Human Feedback (RLHF)
modern machine learning
reward modeling
policy optimization
safety and alignment mechanisms
evaluation frameworks
Python
PyTorch or TensorFlow
Nice-to-have
healthcare, life sciences, or regulated domains
LLM ecosystems and tooling
responsible AI, safety, and governance
pharma/biotech, healthcare, or regulated industries
Key Requirements
Doctorate degree and 3 years of Computer Science, IT or related field experience
Master’s degree and 5 years of Computer Science, IT or related field experience
Bachelor’s degree and 7 years of Computer Science, IT or related field experience
Associate’s degree and 12 years of Computer Science, IT or related field experience
High school diploma / GED and 14 years of Computer Science, IT or related field experience
Certifications on Reinforcement Learning (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.