Upstart

79 live roles

The Machine Learning Platform team builds the foundational technology that scales machine learning innovation across Upstart. As a Principal Machine Learning Engineer, you will work at the intersection of applied ML and platform engineering—collaborating closely with Research Scientists, Data Scientists, and ML Platform Engineers to design tools and systems that accelerate model development to ultimately improve predictive accuracy. Success in this role requires a strong grasp of ML fundamentals and statistics and deep knowledge of the entire modeling lifecycle - from data preparation to training and deployment to production. In this role, you will lead engineering initiatives that turn high-impact modeling needs into scalable, reusable infrastructure. This includes building a unified embeddings platform for training, serving, and managing representations at scale; streamlining feature engineering pipelines to reduce manual steps and deliver new signals quickly; developing automated continuous-learning systems that handle data refresh, retraining, evaluation, and drift monitoring with minimal manual effort; and scaling our training pipelines to support larger datasets, more complex architectures, and faster experimentation. Across all of these efforts, you will work backward from applied ML projects that meaningfully improve accuracy—using those real-world scenarios to reinvent or improve existing platform capabilities that enable ML teams across Upstart to innovate with greater speed, reliability, and impact.