Research Engineer, Synthetic Data

As a Research Engineer, Synthetic Data, you will build sophisticated systems to generate realistic training data for AI agents. You will transform complex workflows into scalable training tasks, collaborating with experts and developing novel methods for task generation, validation, and evaluation. This role is crucial for improving AI model capabilities through high-quality synthetic data.

• Build pipelines to transform domain-specific workflows into synthetic training tasks
• Collaborate with subject-matter experts to create diverse and realistic tasks
• Develop methods for generating, validating, and evaluating synthetic data
• Analyze model performance to identify task effectiveness and limitations
• 2+ years of experience in software engineering, ML engineering, or AI research
• Proficiency in Python, Linux, and containerization tools like Docker