A leading financial technology firm in San Francisco seeks a talented researcher to enhance LLMs for quantitative finance applications. The position requires a PhD in Machine Learning or a related field, alongside hands-on experience with LLMs and related frameworks. You will work on projects such as fine-tuning models for financial datasets and creating data pipelines. This role offers competitive compensation between $300k and $350k plus incentives and benefits, along with flexible vacation options.
