Member of Technical Staff - ML Research Engineer, Data
Core
Build and maintain scalable data processing, filtering, and selection pipelines to power Liquid Foundation Models across pre-training, vision, audio, and emerging modalities.
Role type
Senior ML Research Engineer (Data)
Builds
Pretraining, midtraining, SFT, and preference optimization datasets for foundation models
Domain
Artificial Intelligence / Machine Learning / Data Engineering
Deliverable
production ML models
Required skills
Python, PyTorch, ML fundamentals (training/evaluating/iterating models), data pipeline design, synthetic data generation, LLMs, VLMs, computer vision, audio data processing
Preferred skills
Synthetic data generation, data curation, ML evaluation design, open-source contributions, publications at NeurIPS/ICML/ICLR/CVPR
Technologies
Python, PyTorch, LLMs, VLMs
Responsibilities
Build and maintain data processing, filtering, and selection pipelines at scale; Create pipelines for pretraining, midtraining, SFT, and preference optimization datasets; Design synthetic data generation systems using LLMs and domain-specific generators; Design and run evaluations and ablations to measure dataset impact on model performance; Monitor public datasets across text, vision, and audio domains; Collaborate with pre-training, vision, and audio teams on modality-specific data needs
Seniority
Senior, hands-on IC