Senior AI Engineer (Quant Finance)

About the role

Develop and post-train foundation large language models for quantitative research, while researching and implementing advances in model architecture, algorithms, data processing, and optimization. Design and analyze experiments, apply state-of-the-art deep learning methods, and improve the efficiency and reliability of large-scale training infrastructure. Requires experience building and post-training foundation models, strong software engineering skills, Python expertise, and familiarity with deep learning frameworks and large-scale language-model machine learning. A master's degree or PhD in a related field is required; finance experience is not necessary, though interest in trading and quantitative finance is helpful.