Research Engineer, Data Infrastructure (Language Modeling)

Cartesia is seeking a Research Engineer specializing in Data Infrastructure to enhance their language modeling capabilities. In this role, the engineer will focus on developing scalable systems for acquiring, processing, and curating large datasets essential for pretraining their AI models. Daily tasks will include building efficient data processing infrastructure, designing high-throughput data pipelines, and conducting experiments to analyze the impact of various data characteristics on model performance. The position requires strong skills in data ingestion, preprocessing, filtering, and augmentation, as well as a commitment to maintaining high data quality standards. Collaboration with research and infrastructure teams is crucial for co-designing data loading and experimentation processes. While the advert does not specify required qualifications or experience, it implies that a background in data engineering or a related field would be beneficial. The role is based at Cartesia's headquarters in San Francisco, CA, and is a full-time position. This opportunity is ideal for individuals passionate about AI and data-driven research who thrive in a collaborative environment.