Software Engineer, AI Data - Indianapolis, IN, USA

Role overview Build and operate data pipelines that supply audio datasets for model training and new AI products. The work combines backend engineering, large-scale data processing, and collaboration with AI researchers to improve dataset quality and make training more efficient.

Responsibilities - Find audio data sources and develop dependable ways to bring their data into training datasets. - Build and improve processing systems for large datasets, balancing quality, throughput, and cost. - Work with AI researchers to refine datasets and support development of new models. - 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; data pipelines or large-scale processing experience is especially relevant. - Strong problem-solving skills, initiative, and ability to work independently when requirements are ambiguous.

Nice to have - Experience with web crawling, 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 and an asynchronous work culture, with an opportunity to contribute to products focused on accessibility and learning. The listed U.S. base salary is $140,000–$200,000, with bonus and equity; compensation depends on experience.