Machine Learning Engineer, Data

Cartesia•San Francisco, CA

32d•Onsite

About The Position

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 Machine Learning 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.

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.

Responsibilities

Design and build large-scale datasets for model training.
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.