Staff Geospatial Data Science Engineer
Tasks
- Apply data mining and analytics for change detection
- Build geospatial data pipelines
- Collaborate with embedded and perception teams
- Deploy scalable machine learning geospatial workflows
- Design low latency spatial query systems
- Design statistical tests for map accuracy validation
- Develop map matching algorithms
- Implement sensor fusion for road geometry
- Ingest clean segment vehicle sensor observations
- Optimize spatial indexing for map data
- Perform trajectory smoothing
Perks/Benefits
Skills/Tech-stack
AWS | Association Rules | Bayesian Inference | Bayesian Networks | Classification | Clustering | Computer Vision | Data Mining | Data Processing | Databricks | Decision Trees | GCP | GDAL | GEOS | Geopandas | Geospatial Data | Geospatial Data Processing | H3 | H3 Indexing | HD maps | Lanelet2 | Lidar | Machine Learning | Map-matching | NDS | OGR | OpenStreetMap | Post-processing | PostGIS | Python | R | Radar | Regression | S2 | S2 Indexing | SLAM | SQL | Sensor fusion | Series analysis | Shell Scripting | Spatial analysis | Time Series | Time Series Analysis | Trajectory smoothing | Vector tiles
Education
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