Senior Machine Learning Platform Engineer, ML Foundations

We are looking for an experienced engineer to join MLF. While your initial focus will be building self-service tooling for the model lifecycle, particularly model deployments, serving, and monitoring, you will also have opportunities to work across the entire machine learning lifecycle. As a platform engineer, you will work closely with our internal customers to understand their needs and translate those into sustainable software solutions.

Good communication skills, We are looking for someone who has experience primarily as a machine learning engineer or modeler, as well as a software engineer, as we operate at the intersection of those two roles. Candidates must demonstrate professional experience with the end-to-end ML lifecycle, and we prefer candidates who also have experience building platforms. Beyond that

Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams - People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more - provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.