The Autonomy ML Infrastructure team is responsible for building & improving the core infrastructure for autonomy teams at Nuro. This includes, but is not limited to, model training pipelines, onboard inference & optimizations, data & feature pipelines, reinforcement learning (RL) infrastructure and overall developer productivity & best practices. In this role, you will work closely with teams across Nuro, to design, build and deploy core infrastructure components in machine learning model life cycle, to push the autonomous future forward. You will have an opportunity to work across the full stack of machine learning solutions - from designing robust and scalable model pipelines to building to deploying the optimized models on Nuro's fleet of self-driving robots!