Duties/Responsibilities:
- Research for state-of-the-art neurological insights prediction, sports activity classification, and gesture classification algorithms using IMU and biopotential sensor data with conventional ML and deep learning AI techniques
- Use code and tools in Python to test and characterize performance and limitations of different neurological insights prediction, sports activity classification, and gesture classification models
- Perform data mining and data characterization to generate metrics and methods for evaluating performance the different algorithms and models
- Contribute to code reviews and mentoring of junior level team members
Skills/Abilities:
- BS in CS or a related quantitative field.
- 1+ years of industrial experience
- Understanding and experience with ML/AI, deep learning algorithms and development (CNN, TCN, RNN, GAN, Transformer, Transfer Learning, Contrastive Learning, Novelty Detection, etc.)
- Knowledge of math, statistics, multivariate analysis, statistical tests
- Python coding skills
- Experience with one or more machine learning frameworks such as TensorFlow and/or PyTorch
- Understanding of numerical implementations
- Understanding of cloud computingK
- nowledge of data queryingknowledge of EMG, EEG, ECG, IMU, CV algorithms
- Experience with C++
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