Software Engineer, AI Data - Riverside, CA, USA

Role overview Build and operate data pipelines that bring audio into large training datasets for AI models. The work combines backend engineering, large-scale data processing, and close collaboration with research teams to improve data quality and make model training more efficient.

Responsibilities - Find audio data sources and develop reliable pipelines to ingest them into training datasets. - Build and improve processing systems, balancing data quality, throughput, and operating cost. - Work with AI researchers to refine datasets and support new model development. - Lead engineering work from identifying a problem through implementation and ongoing improvement.

Requirements - A degree in computer science or a related field, or equivalent practical experience. - At least five years of professional software engineering experience and strong backend fundamentals. - Proficiency with Python and Bash in Linux environments. - Experience building and operating production systems, ideally for data pipelines or large-scale processing. - Strong problem-solving skills, initiative, and the ability to work independently amid ambiguity.

Nice to have - Experience with web crawlers, data acquisition, or distributed processing systems. - Cloud infrastructure and Infrastructure as Code experience, especially with GCP and Terraform. - Familiarity with machine learning datasets, data quality, or audio processing.

Benefits and work setup The role offers autonomy, an asynchronous work culture, and the opportunity to contribute to products at the intersection of AI and audio. The stated United States base salary range is $140,000–$200,000, with bonus and equity; compensation depends on experience.