Lead ML Engineer - Lane & Route Networking Mapping
Tasks
- Architect and implement lane and route network mapping stack
- Collaborate on deployment and validation with ML and autonomy teams
- Develop and deploy production mapping features
- Develop metrics and evaluation frameworks for mapping accuracy and consistency
- Drive feature development end-to-end
- Evaluate and adapt cutting edge techniques for production mapping
- Lead neural network research design architecture training validation
- Own data strategy for mapping including curation auto labeling synthetic data active learning
- Perform code reviews automate testing and mentorship
- Translate autonomy goals into software and system requirements
Perks/Benefits
- Dental insurance
- Dependent Care Account
- Disability insurance
- Flexible spending account
- Flexible vacation
- Health insurance
- Health savings account
- Life insurance
- Paid parental leave
- Retirement plan
- Vision insurance
- Wellness program
Skills/Tech-stack
3D Reconstruction | Active Learning | BEV | Birds Eye View | C++ | Computer Vision | Convolutional Neural Networks | Data Curation | Data Generation | Dataset handling | Deep learning | Depth Estimation | Distributed Training | Graph Neural Networks | HD maps | Image Segmentation | Image classification | Knowledge Distillation | Lane Geometry | Lane Topology | Large-scale | Large-scale Dataset Handling | Machine Learning | Neural Networks | Object Detection | Pruning | PyTorch | Python | Quantization | Synthetic Data Generation | Synthetic data | TensorFlow | Tracking | Transformers
Education
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