Research Engineer, Synthetic Data

4 hours ago

Singapore, SingaporeMid Level / Senior

Base Salary

$150k - $250k/yr

Responsibilities

Build end-to-end synthetic data pipelines that convert domain-specific workflows into realistic, structured, and challenging AI-agent training tasks.
Collaborate with subject-matter experts to create synthetic tasks across professional and technical domains.
Design scalable task-generation methods and tooling to mutate, validate, and continuously improve synthetic tasks.
Analyze model and agent performance and develop metrics for task diversity, realism, learnability, and quality.
Own and deliver technical projects end-to-end with minimal predefined requirements.

2–4 years of experience in software engineering, machine learning engineering, AI research, data pipelines, ML infrastructure, or synthetic data systems.
Hands-on experience applying synthetic data research methods to build end-to-end data-generation pipelines for AI/ML applications.
Proficiency in Python and comfort working in Linux environments with containerization tools such as Docker.
Strong understanding of synthetic-data quality criteria, including diversity, realism, learnability, and limitations.
Experience designing, implementing, or maintaining evaluation frameworks, benchmarks, or testing environments for AI agents or large language models.
Ability to identify edge cases and subtle inconsistencies in algorithmically generated datasets.
Preferred experience with reinforcement learning, agentic AI workflows, LLM post-training pipelines, or synthetic tasks and evaluations across multiple domains.