ML Engineer, II - Road & Lane
Remote - US, Ann Arbor, MI, Montreal, Canada, Remote - Canada
R
USD 139K-183K (estimate) Mid-level Full Time
Tasks
- Analyze model performance and improve robustness for corner cases
- Build 3D road surface and lane geometry models in BEV space
- Develop and optimize data processing workflows for annotation pseudo labeling and data augmentation
- Develop and train computer vision deep learning models for road lane detection
- Implement scalable training and evaluation pipelines for lane perception models
- Integrate models into autonomy pipeline
- Leverage SD and HD map priors to improve lane estimation accuracy
- Optimize and deploy models for real time execution on automotive hardware
Perks/Benefits
- N/A
Skills/Tech-stack
BEV | CUDA | CUDA kernels | Camera Calibration | Computer Vision | Convolutional Neural Networks | Deep learning | Distributed Training | Lidar | Multi-sensor Fusion | Neural Networks | PyTorch | Python | Radar | Ray | Sensor fusion | Transformers
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Regions
Countries
States
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