Software Engineer, AI Data - Eugene, OR, USA

Role overview Build the data pipelines and processing systems that support audio model training and future AI products. The work combines backend engineering, data infrastructure, and collaboration with AI researchers to create high-quality datasets at very large scale while managing throughput and cost.

Responsibilities - Find audio data sources and develop reliable pipelines to ingest them into training datasets. - Build and improve large-scale processing systems, balancing data quality, throughput, and operating 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 - Degree in computer science or a related discipline, 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, ideally for data pipelines or large-scale processing. - Strong problem-solving skills, initiative, and ability to work independently when requirements are ambiguous.

Nice to have - Experience with web crawlers, data acquisition, or distributed data processing. - Cloud infrastructure and Infrastructure as Code experience, especially GCP and Terraform. - Familiarity with machine learning datasets, dataset 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 US base salary is $140,000–$200,000, with bonus and equity; compensation depends on experience.