Machine Learning Fellowship (6-12 months)
Tasks
- Benchmark neural network model performance
- Build data pipelines for deep neural network training
- Drive data pre processing
- Estimate depth motion and velocity
- Fuse neural networks
- Interpret camera images
- Perform object detection
- Perform panoptic segmentation
- Report model performance results
- Research network architectures for anomaly detection
- Research network architectures for time series prediction
- Research supervised learning methods
- Research trajectory and motion planning
- Research unsupervised learning methods
Perks/Benefits
Skills/Tech-stack
Anomaly Detection | Data Processing | Deep learning | Image Processing | Linux | Neural Networks | Object Detection | Panoptic segmentation | PyTorch | Python | Sensor Data Processing | Sensor data | Series prediction | Supervised Learning | TensorFlow | Time Series | Time Series Prediction | Unsupervised Learning
Education
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