Senior AI Data Science Engineer
Sunnyvale, CA, United States
USD 142K-200K (estimate) Senior-level Full Time
Tasks
- Architect data models
- Assess data coverage for research needs
- Build data pipelines for surgical data integration
- Build dataset tooling for access and discovery
- Collaborate with clinical teams and robotics engineers
- Define label taxonomy
- Deliver well documented research ready datasets
- Drive data collection strategy
- Drive dataset annotation workflows
- Implement data quality frameworks
- Partner with AI ML researchers for dataset requirements
- Perform annotation quality control
- Perform anomaly detection
- Process and integrate surgical data into curated datasets
- Recommend embodied AI data infrastructure and tooling
- Select annotation tooling
- Track data lineage
- Translate physical actions and perception into captured data
- Validate dataset completeness metrics
Perks/Benefits
- N/A
Skills/Tech-stack
Airflow | Annotation Workflow | Anomaly Detection | Cloud Data | Cloud Data Platforms | Completeness metrics | Computer Vision | DVC | Data Governance | Data Lineage | Data Modeling | Data Processing | Data Quality | Data Validation | Data Versioning | Data pipeline | Data platforms | Data quality framework | Distributed data | Distributed data processing | Docker | FDA | HIPAA | Kubernetes | Label Taxonomy | MLflow | Machine Learning | NoSQL | Python | Quality Framework | Relational databases | SQL | Sensor data | Series data | Spark | Structured data | Time Series | Time Series Data | Unstructured Data | Video Data | Weights and Biases
Education
Regions
Countries
States
Cities
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