Software Engineer, AI Data - Santa Monica, CA, USA

Role overview Build the data pipelines and processing systems that supply audio datasets for AI model training. The work spans finding new data sources, improving large-scale systems for quality, speed, and cost, and partnering with AI researchers on future models.

Responsibilities - Identify audio data sources and create dependable pipelines to ingest them. - Build and improve large-scale data processing, balancing dataset quality, throughput, and cost. - Work with AI researchers to refine training datasets and support model development. - Lead engineering work from investigating a problem through implementation and ongoing 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 - Background in web crawling, data acquisition, or distributed data processing. - Experience with cloud infrastructure and Infrastructure as Code, particularly 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. Listed US base pay is $140,000–$200,000, with bonus and equity depending on experience.