Software Engineer, AI Data - Austin, TX, USA

Role overview Build and operate data pipelines that supply audio datasets for machine learning training and future AI products. The work combines backend engineering, large-scale data processing, and close collaboration with AI researchers, with an emphasis on data quality, throughput, and cost.

Responsibilities - Identify audio data sources and develop dependable ways to bring their data into training datasets. - Build and improve data-processing systems that can handle very large volumes efficiently. - Work with AI researchers to improve dataset quality and support model development. - Own projects from exploring a problem through implementation and ongoing refinement.

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; data pipelines or large-scale processing experience is especially relevant. - Strong problem-solving skills, initiative, and comfort working independently on open-ended problems.

Nice to have - Experience with web crawlers, data acquisition, or distributed data processing. - Cloud infrastructure and infrastructure-as-code experience, particularly 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 listed U.S. base salary is $140,000–$200,000, with bonus and equity depending on experience.