Machine Learning Fellowship (6-12 months)
Tasks
- Apply neural networks for object detection
- Apply neural networks for panoptic segmentation
- Benchmark and report model performance
- Build data pipelines for deep neural network training
- Develop learning methods for depth motion and velocity estimation
- Perform sensor data fusion to reduce memory and computation
- Preprocess driving data
- Research neural network architectures for anomaly detection
- Research neural network architectures for time series prediction
- Support trajectory motion planning research
Perks/Benefits
- N/A
Skills/Tech-stack
Anomaly Detection | Deep learning | Image Processing | Linux | Machine Learning | Neural Networks | Object Detection | Panoptic segmentation | PyTorch | Python | Sensor fusion | Series prediction | TensorFlow | Time Series | Time Series Prediction | Trajectory Planning
Education
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