ML Data Engineer - Pipelines, Datasets & Quality

Sesame is seeking a Data Engineer to build and maintain data pipelines crucial for AI models in San Francisco. You will collaborate with machine learning engineers to ensure access to structured data for model training and evaluation.

This role focuses on developing production pipelines for complex data including voice and conversational data, underlining strong SQL and Python skills. At Sesame, you will contribute significantly to data workflows and governance.