Research Engineer

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.

Skills

ML, generative models, machine learning, multilingual