Yes that should be fine. The key here is to scale the inputs for the machine learning model to improve convergence (similar to how you scale data in a traditional DL setting). What the absolute best scaling is a judgement call / empirical (again analogous to data-driven problems where you could min/max norm, guassian norm, etc.).