onsite
Research Engineer, Data
Research Engineer, Data
Cartesia is seeking a Research Engineer, Data to ensure the quality and coverage of data for their global AI models. This role involves designing and building large-scale multilingual datasets, evaluating speech models, and implementing techniques to improve model intelligence and mitigate bias.
About the role
About the Role
To build truly global AI, our models must be trained on data that reflects the world's diversity of languages and cultures. We are searching for a Research Engineer to own the quality and coverage of the data behind our models. You will be our in-house expert on global data, ensuring our models perform exceptionally well across dozens of languages. You have a keen eye for linguistic nuance, and a passion for building inclusive and representative datasets at scale.
Your Impact
- 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.
What You Bring
- 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
multilingual datasetsgenerative modelsspeech modelstext modelsmultimodal modelshuman annotationevaluationapplied MLdata centric approachesScalable Systems