About this role
Join a small, innovative engineering team focused on building cutting-edge synthetic data systems for AI agents. You will play a key role in transforming complex domain-specific workflows into scalable training tasks, directly impacting how AI models learn and perform in real-world scenarios. This is a unique opportunity to shape the future of AI training data.
What we are looking for 6
- Build pipelines to convert real-world workflows into structured training tasks
- Collaborate with subject-matter experts to define diverse training domains
- Design and implement methods for generating realistic synthetic data
- Develop tools for task mutation, validation, and quality improvement
- Analyze agent performance and create metrics for task effectiveness
- 2+ years of experience in ML engineering or AI research with strong Python skills