Senior Applied Scientist, ML DSP

Execute end-to-end machine learning projects from exploratory data analysis to feature engineering and model evaluation. Design and build physically-informed data augmentation and domain randomization algorithms. Work closely with cross-functional teams, including hardware engineers, firmware engineers, and product managers.

4+ years of professional experience with production machine learning models. 4+ years of professional experience with physical sensors and time series data modeling. 4+ years of research experience. Experience with low-level languages and memory management. Strong fundamentals in statistics and computer science.