Software Engineer, ML Platform

About the role

As a Software Engineer on the ML Platform, you will build the systems behind every nyra labs experiment and model release.

You will work across data processing, distributed training, experiment management, evaluation, inference, and release infrastructure. Your goal is to give a small research team the leverage to run ambitious experiments quickly, reproducibly, and reliably.

This is not a conventional backend role. You will work directly with researchers, understand how models are developed, and turn recurring research bottlenecks into dependable platform capabilities.

Why we need you

Strong research depends on more than strong ideas.

Training data must be versioned and traceable. Experiments need to be reproducible. Evaluations must run consistently. Models need to move from a researcher’s environment into efficient inference and public releases without fragile manual steps.

The sensitivity and scale of clinical speech data add another challenge: the platform must enable fast research while maintaining strict standards for security, privacy, and data governance.

We need an engineer who sees infrastructure as a force multiplier for research.