I'm hiring an experienced (senior, staff, + level) machine learning engineer to lead the tooling, infrastructure, and ops efforts for the ML team at LeaseQuery.
Our team is deploying ML-based services to power features across our suite of products. As we grow the scale and number of our ML-driven features, we are looking to build more robust tools, infrastructure, and ops processes to make our modelers more efficient and our model serving more robust. I'm hoping to find an experienced person that can help us make the best decisions, mentor other team members, and lead the design and implementation of new tools and processes as an IC.
LeaseQuery makes software to help companies comply with new lease accounting regulations, manage their SaaS spend (via our recent acquisition of Stackshine [YC W22]), and more generally handle accounting and spending related to recurring costs. We're based in Atlanta, but support fully remote employees in the US.
We are also hiring for several roles in software, DevOps, and platform.