Senior AI Data Science Engineer
Core
Advancing embodied AI in robotic surgery by turning surgical data into curated, research-ready datasets for AI/ML teams building intelligent surgical systems.
Role type
Senior AI Data Science Engineer (Data Strategy & Engineering)
Builds
Curated, research-ready datasets and data infrastructure for intelligent surgical systems
Domain
Healthcare / Robotic Surgery / Embodied AI
Deliverable
production ML models
Required skills
Python, SQL, distributed data processing, workflow orchestration, multi-modal data handling, data quality frameworks, annotation workflow design, data lineage tracking
Preferred skills
Computer vision data workflows, ML framework understanding, embedded systems data ingestion, data annotation tooling, ML experiment tracking, cloud data platforms, containerization, robotics middleware, synthetic data generation, 3D spatial data tooling, data governance in regulated environments
Technologies
Spark, Airflow, MLFlow, DVC, Weights & Biases, Docker, Kubernetes
Responsibilities
Architect data models and build pipelines to process and integrate surgical data; Drive data collection strategy to address evolving research needs; Own data quality frameworks including validation, anomaly detection, and lineage tracking; Drive annotation workflows including label taxonomy and quality control; Partner with AI/ML researchers to deliver well-documented datasets; Build tooling for researchers to access surgical datasets; Collaborate with clinical and engineering teams to ensure relevant signals are captured.
Seniority
Senior, hands-on IC
