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Research Engineer - Data Quality & Evals
Research Engineer - Data Quality & Evals
Epsilon HealthWe are seeking a Research Engineer to join our ML Research team, focusing on data quality and evaluation for medical imaging and diagnostics. This role involves building systems to clean VLM and classifier training sets, detecting issues like label noise and duplicates, and designing robust evaluation methodologies for radiology report generation. The ideal candidate will have 2+ years of experience in ML or data engineering, strong Python skills, and expertise in either data quality or generative model evaluation. This dynamic position requires someone with agency to identify and address bottlenecks, directly impacting how foundation models are trained and improved.
