Lead Research Engineer, Data Quality

Lead our data quality efforts at an AI and machine learning company specializing in reinforcement learning. You will define and implement strategies and systems to measure and enhance training data quality, ensuring its effectiveness for real-world agent training. This role involves developing scalable validation methods, collaborating with cross-functional teams, and mentoring engineers.

• Lead data quality strategy and systems for AI/ML training data
• Develop scalable methods to validate synthetic data and agent outputs
• Collaborate with researchers, domain experts, and data vendors
• Translate research insights into production tools and pipelines
• Mentor research engineers and promote technical rigor
• 5+ years experience in AI/ML data evaluation systems and team leadership