1. What is a Machine Learning Engineer at Rivian?
A Machine Learning Engineer at Rivian works at the unique intersection of advanced software engineering and cutting-edge physical hardware. In this role, you are responsible for designing, building, and deploying machine learning models that directly power the next generation of electric vehicles (EVs). From autonomous driving systems (ADAS) and intelligent battery management to predictive maintenance and personalized in-cabin experiences, machine learning is core to Rivian's mission of keeping adventures safe, efficient, and seamless.
The impact of this role is immense. Unlike traditional software companies where code runs exclusively in the cloud, your models will often run directly on the vehicle's edge hardware. This means your solutions must be highly optimized for latency, compute, and memory constraints. A model you train could optimize energy consumption in real-time, predict a component failure before it happens, or help a vehicle safely navigate challenging off-road terrain.
To succeed, you must be comfortable navigating ambiguity and collaborating across multidisciplinary teams. You will work alongside control systems engineers, hardware designers, and cloud platform teams to transition models from research prototypes to production-grade vehicle software. It is a highly challenging but rewarding environment where your work has a tangible, physical impact on the future of transportation.

