Software Engineer, AI Data - Norfolk, VA, 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 acquisition, and infrastructure, with an emphasis on making datasets reliable and processing efficient.

Responsibilities - Find audio data sources and develop dependable pipelines to bring their data into training datasets. - Build and improve large-scale processing systems, balancing data quality, throughput, and cost. - Work with AI researchers to improve datasets and support development of new models. - Own 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, ideally involving data pipelines or large-scale processing. - Strong problem-solving skills, initiative, and ability to work independently amid ambiguity.

Nice to have - Experience with web crawlers, data acquisition, or distributed processing systems. - Cloud infrastructure and Infrastructure as Code experience, especially with 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 range is $140,000–$200,000, with bonus and equity; compensation depends on experience.