Backend Engineer (ML Infra) — Scale AI Training & Inference
Summary
Designs and builds distributed systems for training and deploying machine learning models in a fast-paced San Francisco studio, using Python or Go.
A dynamic digital product studio is seeking a Backend Software Engineer (ML Infrastructure) to design and build core systems for training and deploying ML models. This early-career role involves collaborating with ML engineers and focuses on distributed training pipelines and cloud-native infrastructure. The ideal candidate has backend engineering experience, strong foundations in distributed systems, and is comfortable working in Python or Go. The position offers an exciting opportunity to work on real ML infrastructure in a fast-paced environment in San Francisco.
