Senior AI Data Science Engineer

Job Description

Primary Function of Position

Advancing embodied AI in robotic surgery requires high-quality data across the robotic platform, the surgical field, and the operating room environment. The Senior AI/Data Science Engineer will advance the data strategy and engineering that turns surgical data into curated, research-ready datasets for AI/ML teams building intelligent surgical systems.

Working within Intuitive's Future Forward research organization, you will make judgment calls about what data matters, drive the quality bar, and build the infrastructure that delivers research-ready datasets. This role calls for someone who is equally comfortable getting hands-on with data and designing systems that scale.

Roles and Responsibilities

• Architect data models and build pipelines that process and integrate surgical data into well-structured datasets across the robotic platform, surgical field, and operating room environment.
• Drive the data collection strategy: assess data coverage and plan collection approaches to address evolving research needs.
• Own data quality frameworks including validation, anomaly detection, completeness metrics, and lineage tracking so datasets are reliable enough to support training of intelligent surgical systems.
• Drive annotation workflows, including label taxonomy, tooling selection, and quality control, in collaboration with surgeons, clinical researchers, and domain experts.
• Partner with AI/ML researchers to understand downstream requirements and deliver well-documented datasets ready for model development.
• Build tooling that makes it easy for researchers to find, access, and work with surgical datasets.
• Collaborate with surgeons, clinical research teams, robotics engineers, and systems engineers to understand how physical actions and perception translate into data, and ensure relevant signals are captured.
• Contribute to the broader data strategy for embodied AI, including infrastructure and tooling recommendations aligned with research needs.