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Research Engineer, Synthetic Data

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Research Engineer, Synthetic Data in Others new

  • Singapore, Singapore

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.

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.

Benefits

  • Salary range of $150,000 to $250,000 USD annually.
  • Visa sponsorship is available.
  • On-site role in Singapore.

Salary: $150k - $250k/yr

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