Software Engineer, AI Data - Los Angeles, CA, USA

Role overview Build and operate data pipelines that supply large-scale audio datasets for AI model training and future products. The work combines backend engineering, data infrastructure, and research collaboration, with an emphasis on making training data more reliable and processing more efficient.

Responsibilities - Identify audio data sources and develop dependable ways to ingest them into training datasets. - Build and improve large-scale processing systems, balancing data quality, throughput, and cost. - Work with AI researchers to strengthen datasets and support model development. - Lead engineering work from investigating a problem through implementation and ongoing improvement.

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

Nice to have - Background in web crawling, data acquisition, or distributed processing. - Experience with cloud infrastructure and infrastructure as code, 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 intended to make reading and learning more accessible. The listed U.S. base salary is $140,000–$200,000, with bonus and equity depending on experience.