Research Engineer, Synthetic Data (Singapore Time)

Overview

Research engineering seat building the synthetic data pipeline for AI agent training: designing how synthetic tasks are created, mutated and validated, and analysing what those tasks teach models and agents.

What you'll do

• Work with subject-matter experts to create synthetic tasks for training AI agents across a range of professional and technical domains.
• Design synthetic task-generation methods that produce diverse, realistic and learnable tasks.
• Build systems and tooling to mutate, validate and improve synthetic tasks.
• Analyse model and agent performance on synthetic tasks to understand what the tasks are teaching and where they fail.
• Develop metrics to quantify and understand synthetic task diversity, realism, learnability and related qualities.
• Take synthetic data pipelines from early research through to reliable systems, including in areas where the roadmap is not fully prescribed.

What you'll need

• Proficiency in Python, Docker and Linux environments.
• Experience with synthetic data research methods (be ready to describe this in your application).
• A strong understanding of what "good synthetic data" means, and of its limitations.
• Experience building synthetic data pipelines end to end, including where there was no fully prescribed roadmap.
• Experience working on environments, evals or benchmarks.
• Clear written and spoken English, and comfort collaborating remotely across time zones.

Nice to have

• Detail-oriented enough to catch subtle inconsistencies or edge cases in synthetic data.
• Able to reason from first principles about task design, scoring and failure modes.
• Comfortable in unstructured problem spaces or early-stage environments.

Details

• Full-time role, starting ASAP.
• Location: San Francisco or Singapore (on-site), or remote (Singapore or US Pacific time zones).
• Remote candidates' working hours should overlap about 70–80% with either San Francisco (US Pacific) or Singapore business hours; exact daily schedule agreed during hiring.
• Languages: English.
• Team: Engineering.