Senior, ML Engineer - 3D Reconstruction
Tasks
- Build lane line annotation pipelines
- Create visualization and data accessibility products
- Define machine learning model guidelines and deployment processes
- Deploy analytics and machine learning models
- Design offline 3D reconstruction modules
- Develop pose estimation algorithms
- Implement lane line detection and automatic mapping
- Ingest and curate large data sets
- Manage project execution and mentor team members
- Measure auto label quality and mapping quality
Perks/Benefits
- 401k match
- AD and D insurance
- Company holiday closures
- Flexible schedule
- Life insurance
- Paid medical/dental/vision
- Paid vacation
Skills/Tech-stack
Active Learning | CI/CD | Cloud services | Deep learning | Docker | Experiment tracking | GIS | Geographic Information Systems | Geographic information | GitHub Actions | Information Systems | ML Metrics | MLOps | MLflow | Model Registry | Object Detection | Pandas | Parquet | Pose Estimation | Pseudo-labeling | PyArrow | PyTorch | PyTorch Lightning | Python | Ray | SLAM | Semantic Segmentation | Sensor fusion | Tracking | Weights and Biases
Education
Roles
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