Principal Machine Learning Engineer

ZeroDrift is building AI-native compliance enforcement infrastructure for enterprise communication. The Principal Machine Learning Engineer will build and own the systems that operationalize specialized language models, including reproducible training pipelines, evaluation infrastructure, and production serving. This hands-on principal individual contributor will also ensure safe model updates, scalable workflows, and industrial-grade ML infrastructure.

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