Block
Remote (San Francisco, CA, USA)
About machine learning ML is essential to Block's daily operations and long-term success. Its usage has grown dramatically over the past few years and is only accelerating. As more teams integrate ML capabilities, so has the need to avoid duplication by providing shared capabilities. About the team Machine Learning Foundations (MLF) builds scalable, composable components for ML use cases. We work with platform and product teams across the company to amplify their growth by solving complex problems that impact multiple business groups. Block's ML community is too large and moves too quickly for MLF to stay ahead of such a diverse set of needs, so we target a narrower set of use cases to have an outsized impact on our internal customers. About the role 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...