ML Platform Engineer (Data & Evals)

MetaVoice is a company focused on creating an AI for voice conversations that feels natural. The ML Platform Engineer will be responsible for owning the ML data and evaluation platform, building distributed ML data pipelines, and developing internal tools for researchers and operators.

Responsibilities:

• Own the ML data & evaluation platform that model development runs on
• Built distributed ML data pipelines to generate datasets for training and evaluation, including curation, sampling and slicing
• Built and operated MLOps infrastructure to train, evaluate and serve ML models, including versioning, orchestration and observability
• Built eval systems to measure model quality and catch regressions
• Developed internal tools and workflows for researchers and operators to explore data and iterate fast
• Designed data flywheels: automated data collection and model update loops
• Designed evaluation frameworks: automated or human-in-the-loop