About this role
Join a growing engineering team focused on building cutting-edge synthetic data systems for AI agents. You will play a key role in transforming real-world professional workflows into scalable training tasks, directly contributing to the advancement of AI learning and performance across diverse practical domains.
What we are looking for 6
- Build pipelines to transform domain-specific workflows into synthetic training tasks
- Collaborate with subject-matter experts to create AI agent tasks
- Design generation methods for diverse and realistic tasks
- Develop tools for task mutation, validation, and improvement
- Analyze model performance and create quality metrics
- 2+ years of experience in software engineering, ML engineering, or AI research