Software Engineer, AI Data - Phoenix, AZ, USA

Role overview Build the data foundations used to train AI models and support new audio products. The work spans finding useful audio sources, developing reliable pipelines, and improving large-scale processing for quality, speed, and cost. You’ll partner with AI researchers and own projects from early problem definition through ongoing refinement.

Responsibilities - Identify audio data sources and bring their contents into training datasets through dependable pipelines. - Build and operate systems that process large volumes of data efficiently. - Improve dataset quality, processing throughput, and infrastructure cost. - Work with AI researchers to strengthen training data and enable future models. - Drive engineering projects from discovery and implementation through continuous improvement.

Requirements - 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 amid ambiguity.

Nice to have - Experience with web crawlers, data acquisition, or distributed 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 substantial autonomy, an asynchronous work culture, and the opportunity to contribute to products intended to make reading more accessible. The listed U.S. base salary is $140,000–$200,000, with bonus and equity; compensation depends on experience.