Zoba’s decision automation products are built on top of physically-motivated probabilistic models and mathematical optimization, and use relatively few traditional machine learning techniques. The primary responsibility of this role is to identify, design, implement, and maintain machine learning-based improvements to Zoba’s current and future products.
In this role you will:
What we are looking for:
This is a senior-level individual contributor position. The role will be based in Boston.
Zoba increases the profitability of mobility operators through decision automation. Zoba’s API-first platform powers fleet rebalancing, driver tasking and routing, and dynamic pricing for the world’s top mobility operators in over 150 cities around the globe. By using Zoba, mobility operators dramatically increase revenue while taking the guesswork out of operations.