Lead Machine Learning Engineer - Localization
Tasks
- Architect localization machine learning stack
- Define and validate failure mode degradation criteria
- Develop localization metrics and evaluation frameworks
- Drive cross functional requirements alignment
- Drive feature development from inception to deployment
- Evaluate adapt integrate multimodal localization techniques
- Lead neural network research design training validation
- Own end to end data strategy
Perks/Benefits
- Flexible spending account
- Flexible vacation
- Health savings account
- Healthcare suite
- Paid Company Holidays
- Paid parental leave
- Phased Return To Work
- Retirement benefits
- Total wellness program
Skills/Tech-stack
3D Reconstruction | Active Learning | BEV | C++ | Computer Vision | Data Curation | Depth Estimation | Feature extraction | Foundation Models | Image Segmentation | Language Models | Lidar | Linux | Multimodal Learning | Object Detection | Object Tracking | Open Vocabulary | Open Vocabulary Detection | Orb | Pruning | PyTorch | Python | Quantization | Radar | SIFT | SLAM | Self-Supervised Learning | Self-supervised | Semi-Supervised Learning | Semi-supervised | Sensor fusion | SuperPoint | Supervised Learning | Synthetic data | Temporal modeling | TensorFlow | Vision Language Models | Vision-language
Education
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