Member of Technical Staff - ML Research Engineer, Pre-Training Data

You'll join the Pre-Training Data team, which decides what Liquid Foundation Models learn from: which data we source, filter, synthesize, and mix, and in what order. Public data sources are plateauing, so model quality increasingly depends on purpose-built datasets and on knowing which data changes actually help.

We treat data as a research problem, not an infrastructure problem. You'll work alongside our pre-training researchers on a small team, run the experiments that settle data questions, and build the pipelines that carry the answers into training runs.

• You own a critical pre-training data pipeline end to end
• Data systems you built or improved have measurably moved model performance
• You've identified and integrated at least one external dataset that moved the needle