AI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement Learning
Santa Clara, CA$204kFull-timePosted 3mo ago
About the role
Research-focused role at AMD developing recursive self-improvement (RSI) concepts within bounded, auditable and governance-driven pipelines for AI-for-HW and generative AI programs.
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
Qualifications
- 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
Skills
Required:Machine LearningAI SafetyReinforcement Learning
Last updated Oct 22, 2026. Interested? Apply on the company site.
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