Senior Software Engineer - Network Enablement (Applied ML) at Plaid

This role is for a senior backend or systems engineer who has deep experience productionizing machine learning models. You should be comfortable building the infrastructure that sits between raw data and real-time product decisions, specifically using Go or Python to handle low-latency inference and complex data pipelines. **What makes it worth a look...** The compensation is high for a hybrid role, topping out at $270,000. You will be working on Plaid’s core "Network" product, which means your code directly influences fraud detection and trust for thousands of major financial institutions. It is a rare chance to build ML infrastructure that operates at a massive, cross-continental scale. **You might be a good fit if you...** * Have built and maintained real-time scoring systems or online feature stores. * Are proficient with data orchestration tools like Airflow or Spark. * Can bridge the gap between model training and shipping production-ready APIs. * Have experience in fraud, risk, or financial intelligence domains.