Machine Learning Engineer: Perception and Planning
Tasks
- Address real world issues from tests and deployments
- Conduct code reviews
- Deliver reliable software with continuous integration and automated testing
- Deploy ML models to vehicles and datacenters
- Develop deep learning models for autonomy
- Identify and collect datasets
- Implement data processing pipelines
- Research and implement state of the art ML algorithms
Perks/Benefits
- N/A
Skills/Tech-stack
Automated testing | Behavior Prediction | C++ | Classification | Code review | Computer Vision | Continuous integration | Data Processing | Deep learning | End to End | End-to-End Driving | Geometry | Image Segmentation | JAX | Jetson | Linear Algebra | Low Latency | Low-Latency Systems | Model Conversion | Model Deployment | Model Optimization | Multi-Modal | Multi-modal Models | ONNX | Object Detection | Probability | PyTorch | Python | TensorFlow | TensorRT
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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