Own the question of what models learn from: how data is generated, filtered, weighted, and scaled
Design and run synthetic data pipelines at scale.
Build rigorous methods to measure whether a data intervention improves the model.
Run scaling and ablation experiments to decide what goes into the next training run.
Work end to end: from hypothesis about data, to generation/curation pipeline, to controlled

🎯 Requirements

Experience with synthetic data generation and data scaling.
Ability to design and run large-scale data pipelines.
Experience with training experiments, scaling, and ablations.
Strong analytical skills for measuring data intervention impact.

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Data Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot