{"@context":"https://schema.org","@type":"JobPosting","title":"Research Engineer","description":"

Responsibilities:

Design and build large-scale datasets for model training, and run controlled modeling experiments to measure their impact on model performance and behavior.
Build evaluations of speech models, both via manual annotation and at scale with automated metrics.
Implement techniques for steering data generation to improve model intelligence through data and mitigate bias.
Build automated quality control systems to validate and filter generated data.
Partner with product teams to ensure support for key languages and markets.

Requirements:

Experience building or working with large multilingual datasets.
Experience with generative models (speech, text, or multimodal).
Ability to help guide human annotation and evaluation across multiple languages.
Strong applied ML background with a focus on data-centric approaches.
Excitement for building scalable systems that bridge research and production.

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