Lead AI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement Learning

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. We ground our work in a culture of innovation and collaboration, believing real progress comes from bold ideas and collective ingenuity. The Role Lead AI Research Scientist, Recursive Self Improvement, AI Safety and Reinforcement Learning We focus on recursive self‑improvement in bounded, engineering‑first systems where models, data generators, or toolchains improve their own training signals while staying under explicit governance, kill switches, and human oversight. You will research when such loops help versus when they amplify bias, and design measurement and containment so RSI pipelines remain auditable and safe for AMD’s AI‑for‑HW and generative‑AI programs. Key Responsibilities Research self‑improving training loops such as 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 intersections between RSI‑style objectives, 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, aligning internal narrative with responsible deployment standards. Preferred Experience Strong background in machine learning, 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. Academic Credentials Ph.D. in Computer Science, Machine Learning, or a related field strongly preferred. Equal Opportunity – AMD is an equal opportunity employer and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process. AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. The “Responsible AI Policy” is available for review. #J-18808-Ljbffr AMD