ML fundamentals Jobs

Liquid AI, a company spun out of MIT CSAIL, is developing general-purpose AI systems designed for efficient deployment across various targets, from data centers to on-device hardware. They focus on low latency, minimal memory usage, privacy, and reliability, partnering with enterprises in consumer electronics, automotive, life sciences, and financial services. The Pre-Training Data team is central to this mission, responsible for sourcing, filtering, synthesizing, and mixing data that will be used to train Liquid Foundation Models. As public data sources become less effective, the quality of models increasingly relies on purpose-built datasets and understanding the impact of data changes on model performance. This role treats data as a research problem, requiring close collaboration with pre-training researchers to run experiments, answer data-related questions, and build pipelines that feed into training runs.