Research Engineer

Job description

The Center for AI Safety (CAIS) is a leading research and advocacy organization focused on mitigating societal-scale risks from AI. We address AI’s toughest challenges through technical research, field-building initiatives, and policy engagement, along with our sister organization, Center for AI Safety Action Fund. As a Research Engineer here, you'll work at the intersection of cutting-edge ML research and reliable engineering. You'll design and run experiments on large language models, build the tooling needed to train and evaluate models at scale, and turn results into publishable research. You'll collaborate closely with CAIS researchers and external academic and commercial partners, using our compute cluster to run large-scale training and evaluation. The work spans areas like AI honesty, robustness, transparency, and trojan/backdoor behaviors, aimed at reducing real-world risks from advanced AI systems. Key Responsibilities Include: - Own end-to-end research experiments. - Train and fine-tune large transformer models across domains. - Build and maintain datasets and benchmarks. - Run distributed training and evaluation at scale. - Write and ship research, collaborating with co...