Research Engineer, Synthetic Data
Core
Building synthetic data pipelines that convert domain-specific workflows into structured training tasks for AI agents.
Role type
Research Engineer, Synthetic Data
Builds
Synthetic data pipelines and tooling for AI agent training
Domain
AI Research / Synthetic Data / Reinforcement Learning
Deliverable
production ML models
Required skills
Python, Docker, Linux, synthetic data pipeline design, task generation methods, evaluation frameworks, edge case analysis
Preferred skills
reinforcement learning, agentic AI workflows, LLM post-training pipelines
Technologies
Python, Docker, Linux
Responsibilities
Design and build end-to-end synthetic data pipelines; Develop task generation methods to maximize diversity, realism, and learnability; Build tooling to mutate, validate, and improve synthetic tasks; Analyze model and agent performance on synthetic tasks; Define and implement metrics to quantify synthetic task quality
Seniority
Mid-level, hands-on IC
