Machine Learning Engineer, Core Data

About the Role

ML Engineer focused on Data Quality to own the datasets that power speech systems. Hands-on work with audio and text data: auditing, denoising, filtering, labeling, and building tooling and models that turn large-scale data into reliable training corpora for TTS and adjacent tasks.

What You'll Do

• Dataset ownership: define specs; audit and curate large-scale audio/text; close corpus gaps and fix sample-level issues
• Quality instrumentation: build automated gates/metrics (SNR, clipping, VAD, WER, SV/LID, safety) with dashboards; validate against listening tests
• Classifiers and filters: train lightweight models to tag, score, and filter data

Work will directly improve model performance, robustness, and cost by driving the model ↔ data ↔ eval flywheel from the data side.