Raste is a predictive vehicle health platform for everyday drivers. We process supported vehicle data to understand mechanical health and identify developing concerns across systems such as the engine, transmission, brakes, wheels, tires, battery, and cooling system.
Raste acts as a vehicle health companion that monitors performance during normal driving and explains what may need attention. This gives drivers a clearer understanding of the vehicles they own, helping them plan maintenance earlier and avoid the inconvenience and anxiety of a sudden breakdown.
We are seeking a Vehicle Health Algorithm Engineer to join our team on a contract basis. While our primary vehicle health prediction models (including cooling, clutch slip, tire wear, and engine life) are currently active in production, we need an engineer to lead the next phase of development: refining predictive accuracy, reducing sensor noise, and ensuring model robustness.
In this role, you will have end-to-end ownership of the algorithmic lifecycle — from physical-domain research and signal processing design, to writing production Python code, to orchestrating deployments on cloud infrastructure.