Software Engineer, AI Data - Richmond, VA, USA

Role overview Build the data infrastructure that supports AI model training and new audio-focused products. You’ll find and ingest audio data, then develop large-scale processing systems that balance dataset quality, throughput, and cost.

Responsibilities - Identify audio data sources and create dependable pipelines to bring data into training datasets. - Build and improve large-scale data-processing systems, including their quality and efficiency. - Work with AI researchers to improve datasets and support model development. - Own engineering work from investigating a problem through implementation and ongoing improvement.

Requirements - A degree in computer science or a related area, 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 systems; data pipelines or large-scale processing experience is relevant. - Strong problem-solving skills, 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, especially 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 the opportunity to contribute to products at the intersection of AI and audio. Compensation is listed as a US base salary of $140,000–$200,000, plus bonus and equity, depending on experience.