Description
CAIS is hiring a Research Engineer or Research Scientist to lead empirical deep learning research aimed at AI safety and frontier model reliability. The role involves designing and running large-language-model experiments, training and evaluating transformer models at scale, building datasets and benchmarks, and turning results into publishable research in collaboration with internal researchers and external partners. The posting emphasizes strong empirical ML research experience, top conference publications or equivalent lab contributions, familiarity with tools like PyTorch, and comfort with distributed experimentation and research infrastructure. Compensation is $140,000 to $200,000 annually, with health insurance, retirement matching, and other benefits.
