Lead Reserach Scientist, AI Safety and Reinforcement Learning
About The Position
We are hiring an Lead Research Scientist, AI Safety and Reinforcement Learning focused on recursive self-improvement (RSI) in a bounded, engineering-first sense: systems where models, data generators, or toolchains participate in improving their own training signals, curricula, or verification—always under explicit governance, kill switches, and human oversight. You will research when such loops help (e.g. synthetic data quality, targeted self-play, automated curriculum refinement) versus when they amplify bias or reward hacking, and you will design measurement and containment so RSI-style pipelines remain auditable and safe for AMD’s AI-for-HW and generative-AI programs.
Requirements
- Skeptical by default but constructive: formalize assumptions, bound autonomy, and insist on counterfactual evaluation.
- Connect RSI concepts to concrete metrics—data efficiency, robustness, regression rates—not open-ended capability claims.
Nice To Haves
- Strong background in machine learning (ML), AI safety, reinforcement learning, or a related field, with publications or substantial work in iterative training, self-training, or open-ended learning.
- Experience with empirical safety evaluation, scalable oversight, or stress-testing of generative model training pipelines
- Strong software skills for building controlled experimental harnesses and reproducible RSI microcosms
Responsibilities
- Research self-improving training loops: model-generated supervision, iterative distillation, self-critique, and automated curriculum updates with clear scope limits
- Develop theory- and systems-grounded evaluations for capability drift, Goodhart effects, and distributional shift in closed-loop training
- Partner with RL scientists on where RSI-style objectives intersect policy optimization and preference learning
- Define red-team protocols and monitoring for RSI pilots; document rollback criteria before experiments touch shared infrastructure
- Publish or produce technical reports where appropriate; align internal narrative with responsible deployment standards
Benefits
- AMD benefits at a glance.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
