Principal Machine Learning Engineer

ZeroDrift is building the AI-native compliance enforcement infrastructure for enterprise communication. The role involves owning the systems that make machine learning models operational, including building training pipelines, evaluation infrastructure, and model serving in production.

Responsibilities:

• Build and own the training pipelines: data preparation, reproducible fine-tuning runs, experiment tracking, and release automation
• Build the evaluation infrastructure: automated eval runs, regression gates, dashboards, and dataset versioning. Research defines what good means. You build the machinery that measures it
• Own model serving in production: low-latency inference, batching, optimization, autoscaling, and cost
• Ship model updates safely with versioning, canarying, rollback, and drift monitoring
• Build repeatable workflows for adapting models to new domains and customer needs
• Turn expert labels and reviewer feedback into clean training and evaluation data
• Set the bar for ML infrastructure as the team grows