Member of Technical Staff - Post-training (Data Infrastructure)
Core
Build and own data pipelines for SFT, preference, and RL post-training data for large language models (LLMs), ensuring quality, versioning, and reproducibility.
Role type
Senior IC data infrastructure engineer (LLM post-training)
Builds
Production-grade data pipelines and components for LLM post-training
Domain
Artificial Intelligence / Large Language Models / Data Infrastructure
Deliverable
production ML models
Required skills
Software engineering, large-scale data pipeline design, distributed data processing, model inference scaling, post-training methods (SFT, RLHF, DPO), data schema design
Preferred skills
Experience with LLM post-training data, research data recipes
Technologies
None explicitly listed
Responsibilities
Build and maintain data pipelines for SFT, preference, and RL post-training data; Own dataset quality, versioning, and reproducibility; Turn research data recipes into production-grade, reusable components; Scale model inference for data generation and model-based grading; Design data formats and schemas for post-training datasets; Collaborate with researchers and engineers on data pipeline needs
