Lead AI Research Scientist: Safe Self-Improving Systems

AMD; Santa Clara (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

AMD is looking for a Lead AI Research Scientist specializing in Recursive Self Improvement and AI Safety in Santa Clara, California. This role involves researching self-improving training loops and partnering with reinforcement learning scientists to enhance AMD's AI projects.

Ideal candidates should have a Ph.D. in Computer Science or a related field, along with a solid background in machine learning, AI safety, and reinforcement learning. Join AMD to innovate in the field of AI within a collaborative environment.

Qualifications

• Strong background in machine learning, AI safety, or reinforcement learning.
• Experience with empirical safety evaluation and scalable oversight.
• Strong software skills for controlled experimental setups.

Responsibilities

• Research self-improving training loops and develop systems-grounded evaluations.
• Partner with RL scientists on intersections between RSI objectives and policy optimization.
• Define red-team protocols and document rollback criteria.

Skills

Machine learning

AI safety

Reinforcement learning

Software skills

Education

Ph.D. in Computer Science or related field

Job description

AMD is looking for a Lead AI Research Scientist specializing in Recursive Self Improvement and AI Safety in Santa Clara, California. This role involves researching self-improving training loops and partnering with reinforcement learning scientists to enhance AMD's AI projects.

Ideal candidates should have a Ph.D. in Computer Science or a related field, along with a solid background in machine learning, AI safety, and reinforcement learning. Join AMD to innovate in the field of AI within a collaborative environment.