Member of Technical Staff, Data & ML Infrastructure for Video Models

Tech Stack

Responsibilities

• Build and maintain data pipelines for large video generation models, including ingestion, parsing, filtering, preprocessing, and dataset curation at scale using AWS S3 and DynamoDB.
• Design and run annotation workflows across platforms such as MTurk and Prolific, including task design, quality control, and label validation.
• Train, evaluate, and improve smaller supporting models for data filtering, quality assessment, or preprocessing within the ML pipeline.
• Partner closely with research and engineering teams to transform experimental workflows into scalable, repeatable systems for model training and evaluation.
• Own data quality across the pipeline by identifying bottlenecks, failure modes, and continuously improving tooling and processes.

Benefits

• 401k
• Equity
• Health Insurance
• Parental Leave

Culture

Requirements