Research Engineer, Synthetic Data

About the role

A fast-growing AI company that builds infrastructure for AI training data is looking for a Research Engineer, Synthetic Data. The role turns domain-specific workflows into synthetic training tasks that are realistic enough to teach useful behaviour, structured enough to generate at scale, and difficult enough to expand model capabilities. It is a hands-on research engineering seat, not a commercial or privacy-systems role, and starts ASAP.

The offices are in San Francisco and Singapore; remote candidates are welcome if their hours overlap about 70-80% with either US Pacific or Singapore business hours, and the exact daily schedule is agreed during hiring.

Key responsibilities

• Work with subject-matter experts to create synthetic tasks for training AI agents across 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 they teach and where they fail.
• Develop metrics for synthetic task diversity, realism, learnability and related qualities.
• Take synthetic data pipelines from early research through to reliable systems, including where the roadmap is not fully prescribed.

Required profile

• Experience building synthetic data pipelines end to end, including where there was no fully prescribed roadmap.
• Experience working on environments, evals or benchmarks.
• Strong understanding of what good synthetic data means and of its limitations.
• Clear written and spoken English, and comfort collaborating remotely across time zones.
• Technical aptitude and learning potential matter more than years of experience; motivated candidates are encouraged to apply even if they do not meet every point.

Required skills

• Proficiency in Python, Docker and Linux environments.
• Experience with synthetic data research methods (candidates should be ready to describe this in the application).