Software Engineer, AI Data - San Antonio, TX, USA

Role overview Build the data systems that support AI model training and future audio products. The work combines backend engineering, data acquisition, and infrastructure: you’ll find useful audio sources, bring them into training datasets, and make large-scale processing more reliable and efficient.

Responsibilities - Identify audio data sources and develop dependable pipelines to ingest them. - Build and improve large-scale processing systems, balancing dataset quality, throughput, and cost. - Work with AI researchers to refine training data and support new model development. - Lead projects from early problem investigation through implementation and ongoing improvement.

Requirements - Degree in computer science or a related area, or equivalent practical experience. - At least five years of professional software engineering experience and solid 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 ability to work independently amid ambiguity.

Nice to have - Web crawling, data acquisition, or distributed processing experience. - Cloud infrastructure and infrastructure-as-code experience, especially 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 range is $140,000–$200,000, with bonus and equity depending on experience.