Software Engineer, AI Data - Milwaukee, WI, USA

Role overview Build and maintain data pipelines that supply audio datasets for training AI models and supporting new products. The work combines backend engineering, large scale data processing, and collaboration with AI researchers, with a focus on making datasets reliable and economical to produce.

Responsibilities - Find audio data sources and develop dependable ways to bring their data into training datasets. - Build and improve processing systems, balancing dataset quality, throughput, and cost. - Work with AI researchers to refine training data and support model development. - Lead engineering work from identifying a problem through implementation and ongoing improvement.

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

Nice to have - Experience with web crawlers, data acquisition, or distributed processing. - Cloud infrastructure and Infrastructure as Code experience, particularly 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 AI and audio products. The stated US base salary range is $140,000–$200,000, with bonus and equity; compensation depends on experience.