• Develop algorithms and signal processing techniques in Python.
• Prepare signal data into formats for developing a machine learning model.
• Train and test several ML models, and device methods for improving results.
• Develop the model on a computational cloud framework.
• Test deep learning methods on data.
• Help refine data acquisition protocol based on initial ML results.
• Use benchmarking tools to evaluate, test and optimize code.
• Prior image and signal processing experience.
• Extensive machine learning model development experience.
• Deep learning experience.
• Experience with cloud database and cloud computing.
• Knowledge of OO, TDD and git.
• Comfortable with Matlab and Python.
Oncoustics is a small funded startup based in Toronto, ON. Oncoustics is building the first automated signal-focused AI tools for tissue characterization.