Senior AI Data Science Engineer

📋 Description

• Architect data models and build pipelines that process and integrate surgical data into
• Drive the data collection strategy: assess data coverage and plan collection approaches to address
• Own data quality frameworks including validation, anomaly detection, completeness metrics, and
• Drive annotation workflows, including label taxonomy, tooling selection, and quality control, in
• Partner with AI/ML researchers to understand downstream requirements and deliver well-documented
• Build tooling that makes it easy for researchers to find, access, and work with surgical datasets.

🎯 Requirements

• Master's degree in Computer Science, Data Science, Electrical Engineering, Robotics, or a related
• Strong proficiency in Python and SQL for data processing, transformation, and analysis, with
• Experience with distributed data processing or workflow orchestration frameworks (e.g., Spark
• Track record of designing and building data pipelines for multi-modal datasets (video, time-series
• Demonstrated ability to set data quality standards and implement validation frameworks.
• Experience working with multiple concurrent data streams from different sources and modalities.

🎁 Benefits

• Market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity.
• Opportunity to contribute to transformative healthcare technology.
• Equal Opportunity Employer with a commitment to diversity and inclusion.