Research Engineer, Synthetic Data (Pacific Time)
Hybrid · United States, Singapore
Core
Design and build synthetic data pipelines to create realistic, diverse training tasks for AI agents across professional domains.
Role type
Research Engineer (Synthetic Data)
Builds
Synthetic data pipelines and task-generation systems
Domain
AI/ML infrastructure, Synthetic Data
Deliverable
production ML models
Required skills
Python, Docker, Linux, Synthetic data research methods, End-to-end pipeline building, Environment/eval/benchmark design
Preferred skills
First-principles reasoning, Unstructured problem solving, Metrics development
Technologies
Python, Docker, Linux
Responsibilities
Create synthetic tasks with subject-matter experts, Design task-generation methods, Build systems to mutate and validate tasks, Analyze model performance on synthetic tasks, Develop metrics for task quality
Seniority
Mid-Senior, hands-on IC
