Research Engineer, Synthetic Data
Core
Build end-to-end synthetic data pipelines that transform domain-specific workflows into scalable, high-quality training tasks for AI agents.
Role type
Research Engineer (Synthetic Data)
Builds
Scalable synthetic data pipelines and tooling for AI agent training
Domain
AI/ML, Synthetic Data, Agentic AI
Deliverable
production ML models
Required skills
Python, Linux, Docker, synthetic data pipeline development, data generation, evaluation metrics design, automated system building, edge case analysis
Preferred skills
reinforcement learning, agentic AI workflows, LLM post-training
Technologies
Python, Docker, Linux
Responsibilities
Build end-to-end synthetic data pipelines, design task generation methods, develop metrics for task quality, analyze model performance on synthetic tasks, build tooling to validate and mutate synthetic tasks
Seniority
Mid-level, hands-on IC