Lead ML Engineer - Mapping
Tasks
- Architect mapping stack
- Build auto labeling pipelines
- Collaborate with cross-functional teams
- Create evaluation metrics
- Deploy and validate mapping features
- Design neural architectures
- Develop data curation pipelines
- Drive technical roadmap
- Ensure temporal consistency
- Fuse multi-sensor data
- Generate synthetic data
- Implement automated testing
- Lead feature development to deployment
- Measure lane and route accuracy
- Mentor engineers
- Perform code reviews
- Run active learning pipelines
- Scale across operational domains
- Train mapping networks
Perks/Benefits
- Dental insurance
- Disability insurance
- Flexible vacation
- Health insurance
- Life insurance
- Paid parental leave
- Retirement plan
- Vision insurance
- Wellness program
Skills/Tech-stack
3D Reconstruction | Active Learning | Auto-labeling | BEV | C++ | Camera | Computer Vision | Data Curation | Data Engineering | Data Generation | Deep learning | Depth Estimation | Distributed Training | GPS/IMU | HD maps | Image Segmentation | Lidar | Machine Learning | Multimodal Sensor Fusion | Object Detection | Object Tracking | PyTorch | Python | Radar | Self-Supervised Learning | Self-supervised | Sensor fusion | Supervised Learning | Synthetic Data Generation | Synthetic data | TensorFlow | Vision Transformers
Education
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