Play a hands-on role in shaping the next generation of Liquid Foundation Models (LFMs). Your work will involve data curation, cleaning, augmentation, and synthetic data generation. You will also analyze model failure modes to identify and close data gaps, design and implement pipelines for generating and validating training datasets, and fine-tune models.